id sid tid token lemma pos biomedich-103 1 1 biology biology NOUN biomedich-103 1 2 , , PUNCT biomedich-103 1 3 medicine medicine NOUN biomedich-103 1 4 , , PUNCT biomedich-103 1 5 & & CCONJ biomedich-103 1 6 natural natural ADJ biomedich-103 1 7 product product NOUN biomedich-103 1 8 chemistry chemistry NOUN biomedich-103 1 9 issn issn VERB biomedich-103 1 10 2089 2089 NUM biomedich-103 1 11 - - SYM biomedich-103 1 12 6514 6514 NUM biomedich-103 1 13 ( ( PUNCT biomedich-103 1 14 paper paper NOUN biomedich-103 1 15 ) ) PUNCT biomedich-103 1 16 volume volume NOUN biomedich-103 1 17 9 9 NUM biomedich-103 1 18 , , PUNCT biomedich-103 1 19 number number NOUN biomedich-103 1 20 1 1 NUM biomedich-103 1 21 , , PUNCT biomedich-103 1 22 april april PROPN biomedich-103 1 23 2020 2020 NUM biomedich-103 2 1 | | ADV biomedich-103 2 2 pages page NOUN biomedich-103 2 3 : : PUNCT biomedich-103 2 4 15 15 NUM biomedich-103 2 5 - - SYM biomedich-103 2 6 19 19 NUM biomedich-103 2 7 | | ADV biomedich-103 2 8 doi doi NOUN biomedich-103 2 9 : : PUNCT biomedich-103 2 10 10.14421 10.14421 NUM biomedich-103 2 11 / / SYM biomedich-103 2 12 biomedich.2020.91.15 biomedich.2020.91.15 NOUN biomedich-103 2 13 - - PUNCT biomedich-103 2 14 19 19 NUM biomedich-103 2 15 issn issn PROPN biomedich-103 2 16 2540 2540 NUM biomedich-103 2 17 - - SYM biomedich-103 2 18 9328 9328 NUM biomedich-103 2 19 ( ( PUNCT biomedich-103 2 20 online online ADV biomedich-103 2 21 ) ) PUNCT biomedich-103 2 22 a a DET biomedich-103 2 23 mathematical mathematical ADJ biomedich-103 2 24 model model NOUN biomedich-103 2 25 of of ADP biomedich-103 2 26 the the DET biomedich-103 2 27 covid-19 covid-19 PROPN biomedich-103 2 28 cases case NOUN biomedich-103 2 29 in in ADP biomedich-103 2 30 indonesia indonesia PROPN biomedich-103 2 31 ( ( PUNCT biomedich-103 2 32 under under ADP biomedich-103 2 33 and and CCONJ biomedich-103 2 34 without without ADP biomedich-103 2 35 lockdown lockdown NOUN biomedich-103 2 36 enforcement enforcement NOUN biomedich-103 2 37 ) ) PUNCT biomedich-103 2 38 sugiyanto sugiyanto ADP biomedich-103 2 39 * * PROPN biomedich-103 2 40 , , PUNCT biomedich-103 2 41 muchammad muchammad PROPN biomedich-103 2 42 abrori abrori PROPN biomedich-103 2 43 department department PROPN biomedich-103 2 44 of of ADP biomedich-103 2 45 mathematics mathematic NOUN biomedich-103 2 46 , , PUNCT biomedich-103 2 47 universitas universita NOUN biomedich-103 2 48 islam islam PROPN biomedich-103 2 49 negeri negeri PROPN biomedich-103 2 50 sunan sunan PROPN biomedich-103 2 51 kalijaga kalijaga PROPN biomedich-103 2 52 yogyakarta yogyakarta PROPN biomedich-103 2 53 jl jl PROPN biomedich-103 2 54 . . PUNCT biomedich-103 3 1 marsda marsda NOUN biomedich-103 3 2 adisucipto adisucipto VERB biomedich-103 3 3 no no DET biomedich-103 3 4 1 1 NUM biomedich-103 3 5 yogyakarta yogyakarta NOUN biomedich-103 3 6 55281 55281 NUM biomedich-103 3 7 , , PUNCT biomedich-103 3 8 indonesia indonesia PROPN biomedich-103 3 9 . . PUNCT biomedich-103 4 1 tel tel PROPN biomedich-103 4 2 . . PUNCT biomedich-103 5 1 +62 +62 PROPN biomedich-103 5 2 - - PUNCT biomedich-103 5 3 274 274 NUM biomedich-103 5 4 - - SYM biomedich-103 5 5 540971 540971 NUM biomedich-103 5 6 , , PUNCT biomedich-103 5 7 fax fax NOUN biomedich-103 5 8 . . PROPN biomedich-103 6 1 +62 +62 PROPN biomedich-103 6 2 - - PUNCT biomedich-103 6 3 274 274 NUM biomedich-103 6 4 - - PUNCT biomedich-103 6 5 519739 519739 NUM biomedich-103 6 6 corresponding correspond VERB biomedich-103 6 7 author author NOUN biomedich-103 6 8 * * PUNCT biomedich-103 6 9 sugimath@yahoo.co.id sugimath@yahoo.co.id ADJ biomedich-103 6 10 manuscript manuscript NOUN biomedich-103 6 11 received receive VERB biomedich-103 6 12 : : PUNCT biomedich-103 6 13 29 29 NUM biomedich-103 6 14 march march NOUN biomedich-103 6 15 2020 2020 NUM biomedich-103 6 16 . . PUNCT biomedich-103 7 1 revision revision NOUN biomedich-103 7 2 accepted accept VERB biomedich-103 7 3 : : PUNCT biomedich-103 7 4 10 10 NUM biomedich-103 7 5 april april PROPN biomedich-103 7 6 , , PUNCT biomedich-103 7 7 2020 2020 NUM biomedich-103 7 8 . . PUNCT biomedich-103 8 1 published publish VERB biomedich-103 8 2 : : PUNCT biomedich-103 8 3 15 15 NUM biomedich-103 8 4 april april PROPN biomedich-103 8 5 , , PUNCT biomedich-103 8 6 2020 2020 NUM biomedich-103 8 7 . . PUNCT biomedich-103 9 1 abstract abstract PROPN biomedich-103 9 2 covid-19 covid-19 PROPN biomedich-103 9 3 stands stand VERB biomedich-103 9 4 for for ADP biomedich-103 9 5 corona corona NOUN biomedich-103 9 6 ( ( PUNCT biomedich-103 9 7 co co NOUN biomedich-103 9 8 ) ) PUNCT biomedich-103 9 9 , , PUNCT biomedich-103 9 10 virus virus NOUN biomedich-103 9 11 ( ( PUNCT biomedich-103 9 12 vi vi NOUN biomedich-103 9 13 ) ) PUNCT biomedich-103 9 14 , , PUNCT biomedich-103 9 15 disease disease NOUN biomedich-103 9 16 ( ( PUNCT biomedich-103 9 17 d d NOUN biomedich-103 9 18 ) ) PUNCT biomedich-103 9 19 and and CCONJ biomedich-103 9 20 year year NOUN biomedich-103 9 21 2019 2019 NUM biomedich-103 9 22 ( ( PUNCT biomedich-103 9 23 19 19 NUM biomedich-103 9 24 ) ) PUNCT biomedich-103 9 25 , , PUNCT biomedich-103 9 26 which which PRON biomedich-103 9 27 is be AUX biomedich-103 9 28 covid-19 covid-19 PROPN biomedich-103 9 29 first first ADV biomedich-103 9 30 appeared appear VERB biomedich-103 9 31 in in ADP biomedich-103 9 32 2019 2019 NUM biomedich-103 9 33 . . PUNCT biomedich-103 10 1 mathematical mathematical ADJ biomedich-103 10 2 model model NOUN biomedich-103 10 3 of of ADP biomedich-103 10 4 covid covid PROPN biomedich-103 10 5 deployment deployment PROPN biomedich-103 10 6 in in ADP biomedich-103 10 7 indonesia indonesia PROPN biomedich-103 10 8 under under ADP biomedich-103 10 9 and and CCONJ biomedich-103 10 10 without without ADP biomedich-103 10 11 lockdown lockdown NOUN biomedich-103 10 12 case case NOUN biomedich-103 10 13 uses use VERB biomedich-103 10 14 the the DET biomedich-103 10 15 sirv sirv PROPN biomedich-103 10 16 model model NOUN biomedich-103 10 17 , , PUNCT biomedich-103 10 18 such such ADJ biomedich-103 10 19 as as ADP biomedich-103 10 20 susceptible susceptible ADJ biomedich-103 10 21 , , PUNCT biomedich-103 10 22 infected infected ADJ biomedich-103 10 23 , , PUNCT biomedich-103 10 24 recovery recovery NOUN biomedich-103 10 25 , , PUNCT biomedich-103 10 26 and and CCONJ biomedich-103 10 27 virus virus NOUN biomedich-103 10 28 . . PUNCT biomedich-103 11 1 the the DET biomedich-103 11 2 results result NOUN biomedich-103 11 3 of of ADP biomedich-103 11 4 this this DET biomedich-103 11 5 model model NOUN biomedich-103 11 6 state state NOUN biomedich-103 11 7 that that SCONJ biomedich-103 11 8 under under ADP biomedich-103 11 9 lockdown lockdown NOUN biomedich-103 11 10 the the DET biomedich-103 11 11 spread spread NOUN biomedich-103 11 12 of of ADP biomedich-103 11 13 covid-19 covid-19 PROPN biomedich-103 11 14 could could AUX biomedich-103 11 15 be be AUX biomedich-103 11 16 stopped stop VERB biomedich-103 11 17 . . PUNCT biomedich-103 12 1 if if SCONJ biomedich-103 12 2 it it PRON biomedich-103 12 3 were be AUX biomedich-103 12 4 not not PART biomedich-103 12 5 under under ADP biomedich-103 12 6 lockdown lockdown NOUN biomedich-103 12 7 it it PRON biomedich-103 12 8 can can AUX biomedich-103 12 9 multiply multiply VERB biomedich-103 12 10 1,276 1,276 NUM biomedich-103 12 11 times time NOUN biomedich-103 12 12 higher high ADJ biomedich-103 12 13 over over ADP biomedich-103 12 14 two two NUM biomedich-103 12 15 months month NOUN biomedich-103 12 16 . . PUNCT biomedich-103 13 1 keywords keyword NOUN biomedich-103 13 2 : : PUNCT biomedich-103 13 3 corona corona NOUN biomedich-103 13 4 virus virus NOUN biomedich-103 13 5 novel novel VERB biomedich-103 13 6 2019 2019 NUM biomedich-103 13 7 ( ( PUNCT biomedich-103 13 8 covid-19 covid-19 PROPN biomedich-103 13 9 ) ) PUNCT biomedich-103 13 10 ; ; PUNCT biomedich-103 13 11 mathematics mathematic NOUN biomedich-103 13 12 model model NOUN biomedich-103 13 13 ; ; PUNCT biomedich-103 13 14 lockdown lockdown NOUN biomedich-103 13 15 ; ; PUNCT biomedich-103 13 16 indonesia indonesia PROPN biomedich-103 13 17 introduction introduction NOUN biomedich-103 13 18 novel novel PROPN biomedich-103 13 19 corona corona NOUN biomedich-103 13 20 virus virus NOUN biomedich-103 13 21 can can AUX biomedich-103 13 22 pneumonia pneumonia NOUN biomedich-103 13 23 ( ( PUNCT biomedich-103 13 24 pan pan NOUN biomedich-103 13 25 et et PROPN biomedich-103 13 26 al al PROPN biomedich-103 13 27 . . PROPN biomedich-103 13 28 , , PUNCT biomedich-103 13 29 2020 2020 NUM biomedich-103 13 30 ) ) PUNCT biomedich-103 13 31 . . PUNCT biomedich-103 14 1 pneumonia pneumonia NOUN biomedich-103 14 2 is be AUX biomedich-103 14 3 an an DET biomedich-103 14 4 inflammatory inflammatory ADJ biomedich-103 14 5 lung lung NOUN biomedich-103 14 6 disease disease NOUN biomedich-103 14 7 which which PRON biomedich-103 14 8 is be AUX biomedich-103 14 9 characterized characterize VERB biomedich-103 14 10 by by ADP biomedich-103 14 11 coughing cough VERB biomedich-103 14 12 , , PUNCT biomedich-103 14 13 chest chest NOUN biomedich-103 14 14 pain pain NOUN biomedich-103 14 15 , , PUNCT biomedich-103 14 16 fever fever NOUN biomedich-103 14 17 , , PUNCT biomedich-103 14 18 and and CCONJ biomedich-103 14 19 difficulty difficulty NOUN biomedich-103 14 20 breathing breathing NOUN biomedich-103 14 21 . . PUNCT biomedich-103 15 1 covid-19 covid-19 PROPN biomedich-103 15 2 is be AUX biomedich-103 15 3 a a DET biomedich-103 15 4 very very ADV biomedich-103 15 5 contagious contagious ADJ biomedich-103 15 6 disease disease NOUN biomedich-103 15 7 and and CCONJ biomedich-103 15 8 declared declare VERB biomedich-103 15 9 by by ADP biomedich-103 15 10 who who PRON biomedich-103 15 11 as as ADP biomedich-103 15 12 a a DET biomedich-103 15 13 pandemic pandemic NOUN biomedich-103 15 14 on on ADP biomedich-103 15 15 march march PROPN biomedich-103 15 16 , , PUNCT biomedich-103 15 17 12 12 NUM biomedich-103 15 18 , , PUNCT biomedich-103 15 19 2020 2020 NUM biomedich-103 15 20 ( ( PUNCT biomedich-103 15 21 chen chen PROPN biomedich-103 15 22 et et PROPN biomedich-103 15 23 al al PROPN biomedich-103 15 24 . . PROPN biomedich-103 15 25 , , PUNCT biomedich-103 15 26 2020 2020 NUM biomedich-103 15 27 ) ) PUNCT biomedich-103 15 28 . . PUNCT biomedich-103 16 1 pandemic pandemic ADJ biomedich-103 16 2 is be AUX biomedich-103 16 3 an an DET biomedich-103 16 4 infectious infectious ADJ biomedich-103 16 5 disease disease NOUN biomedich-103 16 6 that that PRON biomedich-103 16 7 is be AUX biomedich-103 16 8 widely widely ADV biomedich-103 16 9 spread spread VERB biomedich-103 16 10 and and CCONJ biomedich-103 16 11 it it PRON biomedich-103 16 12 can can AUX biomedich-103 16 13 reach reach VERB biomedich-103 16 14 all all DET biomedich-103 16 15 countries country NOUN biomedich-103 16 16 in in ADP biomedich-103 16 17 the the DET biomedich-103 16 18 world world NOUN biomedich-103 16 19 . . PUNCT biomedich-103 17 1 covid-19 covid-19 PROPN biomedich-103 17 2 was be AUX biomedich-103 17 3 first first ADV biomedich-103 17 4 identified identify VERB biomedich-103 17 5 in in ADP biomedich-103 17 6 wuhan wuhan PROPN biomedich-103 17 7 , , PUNCT biomedich-103 17 8 hubei hubei PROPN biomedich-103 17 9 province province PROPN biomedich-103 17 10 , , PUNCT biomedich-103 17 11 china china PROPN biomedich-103 17 12 in in ADP biomedich-103 17 13 december december PROPN biomedich-103 17 14 2019 2019 NUM biomedich-103 17 15 ( ( PUNCT biomedich-103 17 16 liu liu PROPN biomedich-103 17 17 et et PROPN biomedich-103 17 18 al al PROPN biomedich-103 17 19 . . PROPN biomedich-103 17 20 , , PUNCT biomedich-103 17 21 2020 2020 NUM biomedich-103 17 22 ) ) PUNCT biomedich-103 17 23 . . PUNCT biomedich-103 18 1 the the DET biomedich-103 18 2 understanding understanding NOUN biomedich-103 18 3 of of ADP biomedich-103 18 4 lockdown lockdown NOUN biomedich-103 18 5 in in ADP biomedich-103 18 6 a a DET biomedich-103 18 7 pandemic pandemic ADJ biomedich-103 18 8 context context NOUN biomedich-103 18 9 of of ADP biomedich-103 18 10 covid-19 covid-19 PROPN biomedich-103 18 11 is be AUX biomedich-103 18 12 an an DET biomedich-103 18 13 emergency emergency NOUN biomedich-103 18 14 state state NOUN biomedich-103 18 15 where where SCONJ biomedich-103 18 16 someone someone PRON biomedich-103 18 17 is be AUX biomedich-103 18 18 not not PART biomedich-103 18 19 allowed allow VERB biomedich-103 18 20 to to PART biomedich-103 18 21 enter enter VERB biomedich-103 18 22 or or CCONJ biomedich-103 18 23 out out ADP biomedich-103 18 24 of of ADP biomedich-103 18 25 a a DET biomedich-103 18 26 certain certain ADJ biomedich-103 18 27 area area NOUN biomedich-103 18 28 in in ADP biomedich-103 18 29 a a DET biomedich-103 18 30 certain certain ADJ biomedich-103 18 31 period period NOUN biomedich-103 18 32 of of ADP biomedich-103 18 33 time time NOUN biomedich-103 18 34 . . PUNCT biomedich-103 19 1 this this DET biomedich-103 19 2 kind kind NOUN biomedich-103 19 3 of of ADP biomedich-103 19 4 action action NOUN biomedich-103 19 5 is be AUX biomedich-103 19 6 carried carry VERB biomedich-103 19 7 out out ADP biomedich-103 19 8 during during ADP biomedich-103 19 9 the the DET biomedich-103 19 10 emergency emergency NOUN biomedich-103 19 11 situation situation NOUN biomedich-103 19 12 ( ( PUNCT biomedich-103 19 13 ku ku PROPN biomedich-103 19 14 et et PROPN biomedich-103 19 15 al al PROPN biomedich-103 19 16 . . PROPN biomedich-103 19 17 , , PUNCT biomedich-103 19 18 2020 2020 NUM biomedich-103 19 19 ) ) PUNCT biomedich-103 19 20 . . PUNCT biomedich-103 20 1 mathematical mathematical ADJ biomedich-103 20 2 model model NOUN biomedich-103 20 3 of of ADP biomedich-103 20 4 covid-19 covid-19 PROPN biomedich-103 20 5 deployment deployment NOUN biomedich-103 20 6 is be AUX biomedich-103 20 7 using use VERB biomedich-103 20 8 susceptible susceptible ADJ biomedich-103 20 9 sub sub NOUN biomedich-103 20 10 populations population NOUN biomedich-103 20 11 , , PUNCT biomedich-103 20 12 infected infect VERB biomedich-103 20 13 , , PUNCT biomedich-103 20 14 recovery recovery NOUN biomedich-103 20 15 and and CCONJ biomedich-103 20 16 virus virus NOUN biomedich-103 20 17 or or CCONJ biomedich-103 20 18 abbreviated abbreviate VERB biomedich-103 20 19 as as ADP biomedich-103 20 20 sirv sirv NOUN biomedich-103 20 21 . . PUNCT biomedich-103 21 1 this this DET biomedich-103 21 2 population population NOUN biomedich-103 21 3 is be AUX biomedich-103 21 4 divided divide VERB biomedich-103 21 5 into into ADP biomedich-103 21 6 four four NUM biomedich-103 21 7 subpopulations subpopulation NOUN biomedich-103 21 8 . . PUNCT biomedich-103 22 1 susceptible susceptible ADJ biomedich-103 22 2 subpopulation subpopulation NOUN biomedich-103 22 3 ( ( PUNCT biomedich-103 22 4 s s X biomedich-103 22 5 ) ) PUNCT biomedich-103 22 6 is be AUX biomedich-103 22 7 a a DET biomedich-103 22 8 subpopulation subpopulation NOUN biomedich-103 22 9 that that PRON biomedich-103 22 10 is be AUX biomedich-103 22 11 vulnerable vulnerable ADJ biomedich-103 22 12 to to ADP biomedich-103 22 13 covid-19 covid-19 PROPN biomedich-103 22 14 . . PUNCT biomedich-103 22 15 infected infect VERB biomedich-103 22 16 subpopulation subpopulation NOUN biomedich-103 22 17 ( ( PUNCT biomedich-103 22 18 i i NOUN biomedich-103 22 19 ) ) PUNCT biomedich-103 22 20 is be AUX biomedich-103 22 21 subpopulation subpopulation NOUN biomedich-103 22 22 that that PRON biomedich-103 22 23 is be AUX biomedich-103 22 24 infected infect VERB biomedich-103 22 25 by by ADP biomedich-103 22 26 covid-19 covid-19 PROPN biomedich-103 22 27 . . PUNCT biomedich-103 22 28 recovery recovery NOUN biomedich-103 22 29 subpopulation subpopulation NOUN biomedich-103 22 30 ( ( PUNCT biomedich-103 22 31 r r NOUN biomedich-103 22 32 ) ) PUNCT biomedich-103 22 33 is be AUX biomedich-103 22 34 subpopulation subpopulation NOUN biomedich-103 22 35 that that PRON biomedich-103 22 36 recover recover VERB biomedich-103 22 37 from from ADP biomedich-103 22 38 the the DET biomedich-103 22 39 covid-19 covid-19 PROPN biomedich-103 22 40 virus virus NOUN biomedich-103 22 41 . . PUNCT biomedich-103 23 1 the the DET biomedich-103 23 2 population population NOUN biomedich-103 23 3 of of ADP biomedich-103 23 4 covid-19 covid-19 PROPN biomedich-103 23 5 ( ( PUNCT biomedich-103 23 6 v v NOUN biomedich-103 23 7 ) ) PUNCT biomedich-103 23 8 is be AUX biomedich-103 23 9 the the DET biomedich-103 23 10 population population NOUN biomedich-103 23 11 number number NOUN biomedich-103 23 12 of of ADP biomedich-103 23 13 covid-19 covid-19 PROPN biomedich-103 23 14 outside outside ADP biomedich-103 23 15 the the DET biomedich-103 23 16 human human ADJ biomedich-103 23 17 body body NOUN biomedich-103 23 18 . . PUNCT biomedich-103 24 1 model model NOUN biomedich-103 24 2 formulations formulation NOUN biomedich-103 24 3 the the DET biomedich-103 24 4 covid-19 covid-19 PROPN biomedich-103 24 5 deployment deployment NOUN biomedich-103 24 6 model model NOUN biomedich-103 24 7 uses use VERB biomedich-103 24 8 several several ADJ biomedich-103 24 9 parameters parameter NOUN biomedich-103 24 10 . . PUNCT biomedich-103 25 1 parameter parameter PROPN biomedich-103 25 2 𝑑1 𝑑1 PROPN biomedich-103 25 3 is be AUX biomedich-103 25 4 the the DET biomedich-103 25 5 rate rate NOUN biomedich-103 25 6 of of ADP biomedich-103 25 7 natural natural ADJ biomedich-103 25 8 death death NOUN biomedich-103 25 9 and and CCONJ biomedich-103 25 10 other other ADJ biomedich-103 25 11 diseases disease NOUN biomedich-103 25 12 besides besides SCONJ biomedich-103 25 13 covid-19 covid-19 PROPN biomedich-103 25 14 . . PUNCT biomedich-103 26 1 parameter parameter PROPN biomedich-103 26 2 π‘Ž1 π‘Ž1 PROPN biomedich-103 26 3 is be AUX biomedich-103 26 4 the the DET biomedich-103 26 5 level level NOUN biomedich-103 26 6 of of ADP biomedich-103 26 7 susceptibility susceptibility NOUN biomedich-103 26 8 to to ADP biomedich-103 26 9 covid-19 covid-19 PROPN biomedich-103 26 10 disease disease NOUN biomedich-103 26 11 . . PUNCT biomedich-103 27 1 parameter parameter PROPN biomedich-103 27 2 π‘Ž2 π‘Ž2 PROPN biomedich-103 27 3 is be AUX biomedich-103 27 4 the the DET biomedich-103 27 5 level level NOUN biomedich-103 27 6 of of ADP biomedich-103 27 7 covid-19 covid-19 PROPN biomedich-103 27 8 virus virus NOUN biomedich-103 27 9 infection infection NOUN biomedich-103 27 10 . . PUNCT biomedich-103 28 1 parameter parameter PROPN biomedich-103 28 2 π‘Ž3 π‘Ž3 PROPN biomedich-103 28 3 is be AUX biomedich-103 28 4 the the DET biomedich-103 28 5 cure cure NOUN biomedich-103 28 6 rate rate NOUN biomedich-103 28 7 of of ADP biomedich-103 28 8 covid-19 covid-19 PROPN biomedich-103 28 9 disease disease NOUN biomedich-103 28 10 . . PUNCT biomedich-103 29 1 parameter parameter PROPN biomedich-103 29 2 𝑑2 𝑑2 NOUN biomedich-103 29 3 is be AUX biomedich-103 29 4 the the DET biomedich-103 29 5 death death NOUN biomedich-103 29 6 rate rate NOUN biomedich-103 29 7 due due ADP biomedich-103 29 8 to to ADP biomedich-103 29 9 covid-19 covid-19 PROPN biomedich-103 29 10 virus virus NOUN biomedich-103 29 11 . . PUNCT biomedich-103 30 1 this this DET biomedich-103 30 2 models model NOUN biomedich-103 30 3 are be AUX biomedich-103 30 4 defined define VERB biomedich-103 30 5 into into ADP biomedich-103 30 6 : : PUNCT biomedich-103 30 7 a. a. NOUN biomedich-103 30 8 the the DET biomedich-103 30 9 susceptible susceptible ADJ biomedich-103 30 10 subpopulation subpopulation NOUN biomedich-103 30 11 are be AUX biomedich-103 30 12 affected affect VERB biomedich-103 30 13 by by ADP biomedich-103 30 14 : : PUNCT biomedich-103 31 1 ( ( PUNCT biomedich-103 31 2 1 1 X biomedich-103 31 3 ) ) PUNCT biomedich-103 31 4 the the DET biomedich-103 31 5 increasing increase VERB biomedich-103 31 6 in in ADP biomedich-103 31 7 birth birth NOUN biomedich-103 31 8 rate rate NOUN biomedich-103 31 9 ; ; PUNCT biomedich-103 31 10 ( ( PUNCT biomedich-103 31 11 2 2 X biomedich-103 31 12 ) ) PUNCT biomedich-103 31 13 the the DET biomedich-103 31 14 increasing increase VERB biomedich-103 31 15 in in ADP biomedich-103 31 16 susceptible susceptible ADJ biomedich-103 31 17 individuals individual NOUN biomedich-103 31 18 from from ADP biomedich-103 31 19 other other ADJ biomedich-103 31 20 regions region NOUN biomedich-103 31 21 ; ; PUNCT biomedich-103 31 22 ( ( PUNCT biomedich-103 31 23 3 3 X biomedich-103 31 24 ) ) PUNCT biomedich-103 31 25 the the DET biomedich-103 31 26 increasing increase VERB biomedich-103 31 27 number number NOUN biomedich-103 31 28 of of ADP biomedich-103 31 29 individuals individual NOUN biomedich-103 31 30 recovering recover VERB biomedich-103 31 31 from from ADP biomedich-103 31 32 the the DET biomedich-103 31 33 diseases disease NOUN biomedich-103 31 34 that that PRON biomedich-103 31 35 is be AUX biomedich-103 31 36 caused cause VERB biomedich-103 31 37 by by ADP biomedich-103 31 38 covid-19 covid-19 PROPN biomedich-103 31 39 ; ; PUNCT biomedich-103 31 40 ( ( PUNCT biomedich-103 31 41 4 4 X biomedich-103 31 42 ) ) PUNCT biomedich-103 31 43 the the PRON biomedich-103 31 44 reduce reduce VERB biomedich-103 31 45 susceptibility susceptibility NOUN biomedich-103 31 46 of of ADP biomedich-103 31 47 covid-19 covid-19 PROPN biomedich-103 31 48 which which PRON biomedich-103 31 49 infected infect VERB biomedich-103 31 50 individuals individual NOUN biomedich-103 31 51 ; ; PUNCT biomedich-103 31 52 ( ( PUNCT biomedich-103 31 53 5 5 X biomedich-103 31 54 ) ) PUNCT biomedich-103 31 55 the the PRON biomedich-103 31 56 reduce reduce VERB biomedich-103 31 57 susceptible susceptible ADJ biomedich-103 31 58 individuals individual NOUN biomedich-103 31 59 going go VERB biomedich-103 31 60 to to ADP biomedich-103 31 61 other other ADJ biomedich-103 31 62 areas area NOUN biomedich-103 31 63 ; ; PUNCT biomedich-103 31 64 ( ( PUNCT biomedich-103 31 65 6 6 X biomedich-103 31 66 ) ) PUNCT biomedich-103 31 67 the the DET biomedich-103 31 68 loss loss NOUN biomedich-103 31 69 of of ADP biomedich-103 31 70 individuals individual NOUN biomedich-103 31 71 due due ADJ biomedich-103 31 72 to to ADP biomedich-103 31 73 natural natural ADJ biomedich-103 31 74 deaths death NOUN biomedich-103 31 75 , , PUNCT biomedich-103 31 76 other other ADJ biomedich-103 31 77 than than ADP biomedich-103 31 78 diseases disease NOUN biomedich-103 31 79 caused cause VERB biomedich-103 31 80 by by ADP biomedich-103 31 81 covid-19 covid-19 PROPN biomedich-103 31 82 . . PUNCT biomedich-103 31 83 b. b. PROPN biomedich-103 32 1 the the DET biomedich-103 32 2 infected infected ADJ biomedich-103 32 3 subpopulation subpopulation NOUN biomedich-103 32 4 are be AUX biomedich-103 32 5 affected affect VERB biomedich-103 32 6 by by ADP biomedich-103 32 7 : : PUNCT biomedich-103 32 8 ( ( PUNCT biomedich-103 32 9 1 1 X biomedich-103 32 10 ) ) PUNCT biomedich-103 32 11 the the DET biomedich-103 32 12 increasing increase VERB biomedich-103 32 13 number number NOUN biomedich-103 32 14 of of ADP biomedich-103 32 15 individual individual ADJ biomedich-103 32 16 births birth NOUN biomedich-103 32 17 from from ADP biomedich-103 32 18 a a DET biomedich-103 32 19 mother mother NOUN biomedich-103 32 20 that that PRON biomedich-103 32 21 infected infect VERB biomedich-103 32 22 by by ADP biomedich-103 32 23 covid-19 covid-19 PROPN biomedich-103 32 24 ; ; PUNCT biomedich-103 32 25 ( ( PUNCT biomedich-103 32 26 2 2 X biomedich-103 32 27 ) ) PUNCT biomedich-103 32 28 the the DET biomedich-103 32 29 increasing increase VERB biomedich-103 32 30 in in ADP biomedich-103 32 31 individuals individual NOUN biomedich-103 32 32 due due ADJ biomedich-103 32 33 to to ADP biomedich-103 32 34 arrivals arrival NOUN biomedich-103 32 35 from from ADP biomedich-103 32 36 other other ADJ biomedich-103 32 37 regions region NOUN biomedich-103 32 38 ; ; PUNCT biomedich-103 32 39 ( ( PUNCT biomedich-103 32 40 3 3 X biomedich-103 32 41 ) ) PUNCT biomedich-103 32 42 the the DET biomedich-103 32 43 increasing increase VERB biomedich-103 32 44 in in ADP biomedich-103 32 45 individuals individual NOUN biomedich-103 32 46 from from ADP biomedich-103 32 47 susceptible susceptible ADJ biomedich-103 32 48 and and CCONJ biomedich-103 32 49 infected infect VERB biomedich-103 32 50 by by ADP biomedich-103 32 51 covid-19 covid-19 PROPN biomedich-103 32 52 ; ; PUNCT biomedich-103 32 53 ( ( PUNCT biomedich-103 32 54 4 4 X biomedich-103 32 55 ) ) PUNCT biomedich-103 32 56 the the PRON biomedich-103 32 57 reduce reduce VERB biomedich-103 32 58 individual individual ADJ biomedich-103 32 59 recovery recovery NOUN biomedich-103 32 60 from from ADP biomedich-103 32 61 covid-19 covid-19 PROPN biomedich-103 32 62 ; ; PUNCT biomedich-103 32 63 ( ( PUNCT biomedich-103 32 64 5 5 X biomedich-103 32 65 ) ) PUNCT biomedich-103 32 66 the the DET biomedich-103 32 67 reduction reduction NOUN biomedich-103 32 68 in in ADP biomedich-103 32 69 infected infect VERB biomedich-103 32 70 individuals individual NOUN biomedich-103 32 71 who who PRON biomedich-103 32 72 went go VERB biomedich-103 32 73 to to ADP biomedich-103 32 74 other other ADJ biomedich-103 32 75 areas area NOUN biomedich-103 32 76 ; ; PUNCT biomedich-103 32 77 ( ( PUNCT biomedich-103 32 78 6 6 X biomedich-103 32 79 ) ) PUNCT biomedich-103 32 80 the the DET biomedich-103 32 81 https://doi.org/10.14421/biomedich.2020.91.15-19 https://doi.org/10.14421/biomedich.2020.91.15-19 ADJ biomedich-103 32 82 16 16 NUM biomedich-103 32 83 biology biology NOUN biomedich-103 32 84 , , PUNCT biomedich-103 32 85 medicine medicine NOUN biomedich-103 32 86 , , PUNCT biomedich-103 32 87 & & CCONJ biomedich-103 32 88 natural natural ADJ biomedich-103 32 89 product product NOUN biomedich-103 32 90 chemistry chemistry NOUN biomedich-103 32 91 9 9 NUM biomedich-103 32 92 ( ( PUNCT biomedich-103 32 93 1 1 NUM biomedich-103 32 94 ) ) PUNCT biomedich-103 32 95 , , PUNCT biomedich-103 32 96 2020 2020 NUM biomedich-103 32 97 : : PUNCT biomedich-103 32 98 15 15 NUM biomedich-103 32 99 - - SYM biomedich-103 32 100 19 19 NUM biomedich-103 32 101 reduction reduction NOUN biomedich-103 32 102 in in ADP biomedich-103 32 103 individuals individual NOUN biomedich-103 32 104 who who PRON biomedich-103 32 105 die die VERB biomedich-103 32 106 from from ADP biomedich-103 32 107 diseases disease NOUN biomedich-103 32 108 that that PRON biomedich-103 32 109 caused cause VERB biomedich-103 32 110 by by ADP biomedich-103 32 111 covid-19 covid-19 PROPN biomedich-103 32 112 ; ; PUNCT biomedich-103 32 113 ( ( PUNCT biomedich-103 32 114 7 7 X biomedich-103 32 115 ) ) PUNCT biomedich-103 32 116 the the DET biomedich-103 32 117 loss loss NOUN biomedich-103 32 118 of of ADP biomedich-103 32 119 individuals individual NOUN biomedich-103 32 120 due due ADJ biomedich-103 32 121 to to ADP biomedich-103 32 122 deaths death NOUN biomedich-103 32 123 other other ADJ biomedich-103 32 124 than than ADP biomedich-103 32 125 covid-19 covid-19 PROPN biomedich-103 32 126 . . PUNCT biomedich-103 33 1 c. c. PROPN biomedich-103 34 1 the the DET biomedich-103 34 2 recovery recovery NOUN biomedich-103 34 3 subpopulation subpopulation NOUN biomedich-103 34 4 are be AUX biomedich-103 34 5 affected affect VERB biomedich-103 34 6 by by ADP biomedich-103 34 7 : : PUNCT biomedich-103 34 8 ( ( PUNCT biomedich-103 34 9 1 1 X biomedich-103 34 10 ) ) PUNCT biomedich-103 34 11 the the DET biomedich-103 34 12 increase increase NOUN biomedich-103 34 13 in in ADP biomedich-103 34 14 births birth NOUN biomedich-103 34 15 at at ADP biomedich-103 34 16 recovery recovery NOUN biomedich-103 34 17 time time NOUN biomedich-103 34 18 ; ; PUNCT biomedich-103 34 19 ( ( PUNCT biomedich-103 34 20 2 2 X biomedich-103 34 21 ) ) PUNCT biomedich-103 34 22 the the DET biomedich-103 34 23 increase increase NOUN biomedich-103 34 24 in in ADP biomedich-103 34 25 individual individual ADJ biomedich-103 34 26 recovery recovery NOUN biomedich-103 34 27 from from ADP biomedich-103 34 28 other other ADJ biomedich-103 34 29 regions region NOUN biomedich-103 34 30 ; ; PUNCT biomedich-103 34 31 ( ( PUNCT biomedich-103 34 32 3 3 X biomedich-103 34 33 ) ) PUNCT biomedich-103 34 34 the the DET biomedich-103 34 35 increase increase NOUN biomedich-103 34 36 in in ADP biomedich-103 34 37 infected infect VERB biomedich-103 34 38 ; ; PUNCT biomedich-103 34 39 ( ( PUNCT biomedich-103 34 40 4 4 X biomedich-103 34 41 ) ) PUNCT biomedich-103 34 42 the the PRON biomedich-103 34 43 reduce reduce VERB biomedich-103 34 44 susceptible susceptible ADJ biomedich-103 34 45 individuals individual NOUN biomedich-103 34 46 ; ; PUNCT biomedich-103 34 47 ( ( PUNCT biomedich-103 34 48 5 5 X biomedich-103 34 49 ) ) PUNCT biomedich-103 34 50 the the DET biomedich-103 34 51 reduction reduction NOUN biomedich-103 34 52 in in ADP biomedich-103 34 53 recovery recovery NOUN biomedich-103 34 54 individuals individual NOUN biomedich-103 34 55 that that PRON biomedich-103 34 56 went go VERB biomedich-103 34 57 to to ADP biomedich-103 34 58 other other ADJ biomedich-103 34 59 areas area NOUN biomedich-103 34 60 ; ; PUNCT biomedich-103 34 61 ( ( PUNCT biomedich-103 34 62 6 6 X biomedich-103 34 63 ) ) PUNCT biomedich-103 34 64 the the DET biomedich-103 34 65 loss loss NOUN biomedich-103 34 66 of of ADP biomedich-103 34 67 individuals individual NOUN biomedich-103 34 68 due due ADJ biomedich-103 34 69 to to ADP biomedich-103 34 70 deaths death NOUN biomedich-103 34 71 other other ADJ biomedich-103 34 72 than than ADP biomedich-103 34 73 covid-19 covid-19 PROPN biomedich-103 34 74 . . PUNCT biomedich-103 35 1 d. d. PROPN biomedich-103 35 2 the the DET biomedich-103 35 3 population population NOUN biomedich-103 35 4 of of ADP biomedich-103 35 5 covid-19 covid-19 PROPN biomedich-103 35 6 ( ( PUNCT biomedich-103 35 7 population population NOUN biomedich-103 35 8 of of ADP biomedich-103 35 9 virus virus NOUN biomedich-103 35 10 in in ADP biomedich-103 35 11 the the DET biomedich-103 35 12 environment environment NOUN biomedich-103 35 13 spread spread VERB biomedich-103 35 14 by by ADP biomedich-103 35 15 infected infected ADJ biomedich-103 35 16 people people NOUN biomedich-103 35 17 ) ) PUNCT biomedich-103 35 18 are be AUX biomedich-103 35 19 affected affect VERB biomedich-103 35 20 by by ADP biomedich-103 35 21 : : PUNCT biomedich-103 35 22 ( ( PUNCT biomedich-103 35 23 1 1 X biomedich-103 35 24 ) ) PUNCT biomedich-103 35 25 the the DET biomedich-103 35 26 covid-19 covid-19 PROPN biomedich-103 35 27 deployment deployment NOUN biomedich-103 35 28 because because SCONJ biomedich-103 35 29 individuals individual NOUN biomedich-103 35 30 are be AUX biomedich-103 35 31 infected infect VERB biomedich-103 35 32 ; ; PUNCT biomedich-103 35 33 ( ( PUNCT biomedich-103 35 34 2 2 X biomedich-103 35 35 ) ) PUNCT biomedich-103 35 36 the the DET biomedich-103 35 37 unsurvive unsurvive NOUN biomedich-103 35 38 of of ADP biomedich-103 35 39 covid-19 covid-19 PROPN biomedich-103 35 40 in in ADP biomedich-103 35 41 a a DET biomedich-103 35 42 free free ADJ biomedich-103 35 43 environment environment NOUN biomedich-103 35 44 due due ADP biomedich-103 35 45 to to ADP biomedich-103 35 46 physical physical ADJ biomedich-103 35 47 and and CCONJ biomedich-103 35 48 chemical chemical NOUN biomedich-103 35 49 factors factor NOUN biomedich-103 35 50 . . PUNCT biomedich-103 36 1 table table NOUN biomedich-103 36 2 1 1 NUM biomedich-103 36 3 . . PUNCT biomedich-103 37 1 the the DET biomedich-103 37 2 population population NOUN biomedich-103 37 3 , , PUNCT biomedich-103 37 4 subpopulations subpopulation NOUN biomedich-103 37 5 , , PUNCT biomedich-103 37 6 and and CCONJ biomedich-103 37 7 parameters parameter NOUN biomedich-103 37 8 used use VERB biomedich-103 37 9 in in ADP biomedich-103 37 10 the the DET biomedich-103 37 11 covid-19 covid-19 PROPN biomedich-103 37 12 spread spread VERB biomedich-103 37 13 by by ADP biomedich-103 37 14 mathematics mathematic NOUN biomedich-103 37 15 model model NOUN biomedich-103 37 16 . . PUNCT biomedich-103 38 1 no no INTJ biomedich-103 38 2 . . PUNCT biomedich-103 38 3 symbol symbol NOUN biomedich-103 38 4 explanation explanation PROPN biomedich-103 38 5 unit unit NOUN biomedich-103 38 6 1 1 NUM biomedich-103 38 7 . . PUNCT biomedich-103 38 8 s s VERB biomedich-103 38 9 susceptible susceptible ADJ biomedich-103 38 10 subpopulation subpopulation NOUN biomedich-103 38 11 person person NOUN biomedich-103 38 12 / / SYM biomedich-103 38 13 km2 km2 PROPN biomedich-103 38 14 2 2 NUM biomedich-103 38 15 . . PUNCT biomedich-103 39 1 i i PRON biomedich-103 39 2 infected infect VERB biomedich-103 39 3 subpopulation subpopulation NOUN biomedich-103 39 4 person person NOUN biomedich-103 39 5 / / SYM biomedich-103 39 6 km2 km2 PROPN biomedich-103 39 7 3 3 NUM biomedich-103 39 8 . . PUNCT biomedich-103 40 1 r r NOUN biomedich-103 40 2 recovery recovery NOUN biomedich-103 40 3 subpopulation subpopulation NOUN biomedich-103 40 4 person person NOUN biomedich-103 40 5 / / SYM biomedich-103 40 6 km2 km2 PROPN biomedich-103 40 7 4 4 NUM biomedich-103 40 8 . . NOUN biomedich-103 40 9 v v ADP biomedich-103 40 10 the the DET biomedich-103 40 11 population population NOUN biomedich-103 40 12 of of ADP biomedich-103 40 13 covid-19 covid-19 PROPN biomedich-103 40 14 virus virus NOUN biomedich-103 40 15 / / SYM biomedich-103 40 16 km2 km2 PROPN biomedich-103 40 17 5 5 NUM biomedich-103 40 18 . . PUNCT biomedich-103 41 1 1a 1a X biomedich-103 41 2 birth birth NOUN biomedich-103 41 3 rate rate NOUN biomedich-103 41 4 of of ADP biomedich-103 41 5 susceptible susceptible ADJ biomedich-103 41 6 subpopulation subpopulation NOUN biomedich-103 41 7 day-1 day-1 NUM biomedich-103 41 8 6 6 NUM biomedich-103 41 9 . . PUNCT biomedich-103 41 10 2a 2a NUM biomedich-103 41 11 birth birth NOUN biomedich-103 41 12 rate rate NOUN biomedich-103 41 13 of of ADP biomedich-103 41 14 infected infected ADJ biomedich-103 41 15 subpopulation subpopulation NOUN biomedich-103 41 16 day-1 day-1 NUM biomedich-103 41 17 7 7 NUM biomedich-103 41 18 . . NUM biomedich-103 41 19 3a 3a NUM biomedich-103 41 20 birth birth NOUN biomedich-103 41 21 rate rate NOUN biomedich-103 41 22 of of ADP biomedich-103 41 23 recovery recovery NOUN biomedich-103 41 24 subpopulation subpopulation NOUN biomedich-103 41 25 day-1 day-1 NUM biomedich-103 41 26 8 8 NUM biomedich-103 41 27 . . PUNCT biomedich-103 42 1 1b 1b NUM biomedich-103 42 2 arrival arrival NOUN biomedich-103 42 3 rates rate NOUN biomedich-103 42 4 from from ADP biomedich-103 42 5 other other ADJ biomedich-103 42 6 countries country NOUN biomedich-103 42 7 susceptible susceptible ADJ biomedich-103 42 8 subpopulation subpopulation NOUN biomedich-103 42 9 day-1 day-1 NUM biomedich-103 42 10 9 9 NUM biomedich-103 42 11 . . PUNCT biomedich-103 42 12 2b 2b NUM biomedich-103 42 13 arrival arrival NOUN biomedich-103 42 14 rates rate NOUN biomedich-103 42 15 from from ADP biomedich-103 42 16 other other ADJ biomedich-103 42 17 countries country NOUN biomedich-103 42 18 infected infect VERB biomedich-103 42 19 subpopulation subpopulation NOUN biomedich-103 42 20 day-1 day-1 NUM biomedich-103 42 21 10 10 NUM biomedich-103 42 22 . . PUNCT biomedich-103 43 1 3b 3b NUM biomedich-103 43 2 arrival arrival NOUN biomedich-103 43 3 rates rate NOUN biomedich-103 43 4 from from ADP biomedich-103 43 5 other other ADJ biomedich-103 43 6 countries country NOUN biomedich-103 43 7 recovery recovery NOUN biomedich-103 43 8 subpopulation subpopulation NOUN biomedich-103 43 9 day-1 day-1 NUM biomedich-103 43 10 11 11 NUM biomedich-103 43 11 . . PUNCT biomedich-103 44 1 c c NOUN biomedich-103 44 2 death death NOUN biomedich-103 44 3 rates rate NOUN biomedich-103 44 4 due due ADJ biomedich-103 44 5 to to ADP biomedich-103 44 6 disease disease NOUN biomedich-103 44 7 caused cause VERB biomedich-103 44 8 by by ADP biomedich-103 44 9 covid-19 covid-19 PROPN biomedich-103 44 10 . . PROPN biomedich-103 44 11 day-1 day-1 NUM biomedich-103 44 12 12 12 NUM biomedich-103 44 13 . . PUNCT biomedich-103 45 1 1d 1d NUM biomedich-103 45 2 natural natural ADJ biomedich-103 45 3 death death NOUN biomedich-103 45 4 rates rate NOUN biomedich-103 45 5 are be AUX biomedich-103 45 6 not not PART biomedich-103 45 7 due due ADJ biomedich-103 45 8 to to ADP biomedich-103 45 9 covid-19 covid-19 PROPN biomedich-103 45 10 susceptible susceptible ADJ biomedich-103 45 11 subpopulation subpopulation NOUN biomedich-103 45 12 . . PUNCT biomedich-103 46 1 day-1 day-1 NUM biomedich-103 47 1 13 13 NUM biomedich-103 47 2 . . PUNCT biomedich-103 48 1 2d 2d PROPN biomedich-103 48 2 natural natural ADJ biomedich-103 48 3 death death NOUN biomedich-103 48 4 rates rate NOUN biomedich-103 48 5 are be AUX biomedich-103 48 6 not not PART biomedich-103 48 7 due due ADJ biomedich-103 48 8 to to ADP biomedich-103 48 9 covid-19 covid-19 PROPN biomedich-103 48 10 infected infect VERB biomedich-103 48 11 subpopulation subpopulation NOUN biomedich-103 48 12 . . PUNCT biomedich-103 49 1 day-1 day-1 NUM biomedich-103 49 2 14 14 NUM biomedich-103 49 3 . . PUNCT biomedich-103 50 1 3d 3d NUM biomedich-103 50 2 natural natural ADJ biomedich-103 50 3 death death NOUN biomedich-103 50 4 rates rate NOUN biomedich-103 50 5 are be AUX biomedich-103 50 6 not not PART biomedich-103 50 7 due due ADJ biomedich-103 50 8 to to ADP biomedich-103 50 9 covid-19 covid-19 PROPN biomedich-103 50 10 recovery recovery NOUN biomedich-103 50 11 subpopulation subpopulation NOUN biomedich-103 50 12 . . PUNCT biomedich-103 51 1 day-1 day-1 NUM biomedich-103 51 2 15 15 NUM biomedich-103 51 3 . . NOUN biomedich-103 51 4 4d 4d NUM biomedich-103 52 1 the the DET biomedich-103 52 2 covid-19 covid-19 PROPN biomedich-103 52 3 mortality mortality NOUN biomedich-103 52 4 rates rate NOUN biomedich-103 52 5 in in ADP biomedich-103 52 6 environment environment NOUN biomedich-103 52 7 . . PUNCT biomedich-103 53 1 day-1 day-1 NUM biomedich-103 53 2 16 16 NUM biomedich-103 53 3 . . PUNCT biomedich-103 54 1 1e 1e ADJ biomedich-103 54 2 rates rate NOUN biomedich-103 54 3 of of ADP biomedich-103 54 4 traveling travel VERB biomedich-103 54 5 to to ADP biomedich-103 54 6 other other ADJ biomedich-103 54 7 countries country NOUN biomedich-103 54 8 susceptible susceptible ADJ biomedich-103 54 9 subpopulation subpopulation NOUN biomedich-103 54 10 day-1 day-1 NUM biomedich-103 54 11 17 17 NUM biomedich-103 54 12 . . PUNCT biomedich-103 55 1 2e 2e NOUN biomedich-103 55 2 rates rate NOUN biomedich-103 55 3 of of ADP biomedich-103 55 4 traveling travel VERB biomedich-103 55 5 to to ADP biomedich-103 55 6 other other ADJ biomedich-103 55 7 countries country NOUN biomedich-103 55 8 infected infect VERB biomedich-103 55 9 subpopulation subpopulation NOUN biomedich-103 55 10 day-1 day-1 NUM biomedich-103 55 11 18 18 NUM biomedich-103 55 12 . . PUNCT biomedich-103 56 1 3e 3e NOUN biomedich-103 56 2 rates rate NOUN biomedich-103 56 3 of of ADP biomedich-103 56 4 traveling travel VERB biomedich-103 56 5 to to ADP biomedich-103 56 6 other other ADJ biomedich-103 56 7 countries country NOUN biomedich-103 56 8 recovery recovery NOUN biomedich-103 56 9 subpopulation subpopulation NOUN biomedich-103 56 10 day-1 day-1 NUM biomedich-103 56 11 19 19 NUM biomedich-103 56 12 . . PUNCT biomedich-103 57 1 f f PROPN biomedich-103 58 1 the the DET biomedich-103 58 2 degree degree NOUN biomedich-103 58 3 of of ADP biomedich-103 58 4 covid-19 covid-19 PROPN biomedich-103 58 5 emergence emergence NOUN biomedich-103 58 6 in in ADP biomedich-103 58 7 environment environment NOUN biomedich-103 58 8 virus virus NOUN biomedich-103 58 9 person-1 person-1 NUM biomedich-103 58 10 20 20 NUM biomedich-103 58 11 . . PUNCT biomedich-103 59 1 1k 1k NUM biomedich-103 59 2 carrying carry VERB biomedich-103 59 3 capacity capacity NOUN biomedich-103 59 4 of of ADP biomedich-103 59 5 the the DET biomedich-103 59 6 susceptible susceptible ADJ biomedich-103 59 7 birth birth NOUN biomedich-103 59 8 subpopulation subpopulation NOUN biomedich-103 59 9 person2 person2 PROPN biomedich-103 59 10 21 21 NUM biomedich-103 59 11 . . PUNCT biomedich-103 60 1 2k 2k NOUN biomedich-103 60 2 carrying carry VERB biomedich-103 60 3 capacity capacity NOUN biomedich-103 60 4 of of ADP biomedich-103 60 5 the the DET biomedich-103 60 6 infected infect VERB biomedich-103 60 7 birth birth NOUN biomedich-103 60 8 subpopulation subpopulation NOUN biomedich-103 60 9 person2 person2 PROPN biomedich-103 60 10 22 22 NUM biomedich-103 60 11 . . PUNCT biomedich-103 61 1 3k 3k PROPN biomedich-103 61 2 carrying carry VERB biomedich-103 61 3 capacity capacity NOUN biomedich-103 61 4 of of ADP biomedich-103 61 5 the the DET biomedich-103 61 6 recovery recovery NOUN biomedich-103 61 7 birth birth NOUN biomedich-103 61 8 subpopulation subpopulation NOUN biomedich-103 61 9 person2 person2 PROPN biomedich-103 61 10 23 23 NUM biomedich-103 61 11 . . PUNCT biomedich-103 62 1 1l 1l NUM biomedich-103 62 2 carrying carry VERB biomedich-103 62 3 capacity capacity NOUN biomedich-103 62 4 of of ADP biomedich-103 62 5 the the DET biomedich-103 62 6 susceptible susceptible ADJ biomedich-103 62 7 natural natural ADJ biomedich-103 62 8 death death NOUN biomedich-103 62 9 subpopulation subpopulation NOUN biomedich-103 62 10 person2 person2 PROPN biomedich-103 62 11 24 24 NUM biomedich-103 62 12 . . PUNCT biomedich-103 63 1 2l 2l NOUN biomedich-103 63 2 carrying carry VERB biomedich-103 63 3 capacity capacity NOUN biomedich-103 63 4 of of ADP biomedich-103 63 5 the the DET biomedich-103 63 6 infected infect VERB biomedich-103 63 7 natural natural ADJ biomedich-103 63 8 death death NOUN biomedich-103 63 9 subpopulation subpopulation NOUN biomedich-103 63 10 person2 person2 NOUN biomedich-103 63 11 25 25 NUM biomedich-103 63 12 3l 3l NUM biomedich-103 63 13 carrying carry VERB biomedich-103 63 14 capacity capacity NOUN biomedich-103 63 15 of of ADP biomedich-103 63 16 the the DET biomedich-103 63 17 recovery recovery NOUN biomedich-103 63 18 natural natural ADJ biomedich-103 63 19 death death NOUN biomedich-103 63 20 subpopulation subpopulation NOUN biomedich-103 63 21 person2 person2 PROPN biomedich-103 63 22 26 26 NUM biomedich-103 63 23 . . PUNCT biomedich-103 64 1   X biomedich-103 64 2 the the DET biomedich-103 64 3 degree degree NOUN biomedich-103 64 4 of of ADP biomedich-103 64 5 interaction interaction NOUN biomedich-103 64 6 between between ADP biomedich-103 64 7 susceptible susceptible ADJ biomedich-103 64 8 subpopulation subpopulation NOUN biomedich-103 64 9 become become VERB biomedich-103 64 10 infected infected ADJ biomedich-103 64 11 subpopulation subpopulation NOUN biomedich-103 64 12 km2.day-1.virus-1 km2.day-1.virus-1 NOUN biomedich-103 64 13 27 27 NUM biomedich-103 64 14 . . PUNCT biomedich-103 65 1   VERB biomedich-103 65 2 the the DET biomedich-103 65 3 degree degree NOUN biomedich-103 65 4 of of ADP biomedich-103 65 5 interaction interaction NOUN biomedich-103 65 6 betweem betweem PROPN biomedich-103 65 7 infected infect VERB biomedich-103 65 8 subpopulation subpopulation NOUN biomedich-103 65 9 become become VERB biomedich-103 65 10 recovery recovery NOUN biomedich-103 65 11 subpopulation subpopulation NOUN biomedich-103 65 12 day-1 day-1 NUM biomedich-103 65 13 28 28 NUM biomedich-103 65 14 . . PUNCT biomedich-103 66 1   NOUN biomedich-103 66 2 the the DET biomedich-103 66 3 degree degree NOUN biomedich-103 66 4 of of ADP biomedich-103 66 5 interaction interaction NOUN biomedich-103 66 6 between between ADP biomedich-103 66 7 recovery recovery NOUN biomedich-103 66 8 subpopulation subpopulation NOUN biomedich-103 66 9 become become VERB biomedich-103 66 10 susceptible susceptible ADJ biomedich-103 66 11 subpopulation subpopulation NOUN biomedich-103 66 12 . . PUNCT biomedich-103 67 1 day-1 day-1 NUM biomedich-103 67 2 in in ADP biomedich-103 67 3 this this DET biomedich-103 67 4 model model NOUN biomedich-103 67 5 it it PRON biomedich-103 67 6 is be AUX biomedich-103 67 7 assumed assume VERB biomedich-103 67 8 that that SCONJ biomedich-103 67 9 : : PUNCT biomedich-103 67 10 ( ( PUNCT biomedich-103 67 11 1 1 X biomedich-103 67 12 ) ) PUNCT biomedich-103 67 13 open open ADJ biomedich-103 67 14 population population NOUN biomedich-103 67 15 , , PUNCT biomedich-103 67 16 means mean VERB biomedich-103 67 17 people people NOUN biomedich-103 67 18 are be AUX biomedich-103 67 19 free free ADJ biomedich-103 67 20 to to PART biomedich-103 67 21 enter enter VERB biomedich-103 67 22 and and CCONJ biomedich-103 67 23 exit exit VERB biomedich-103 67 24 a a DET biomedich-103 67 25 country country NOUN biomedich-103 67 26 / / SYM biomedich-103 67 27 region region NOUN biomedich-103 67 28 ; ; PUNCT biomedich-103 67 29 ( ( PUNCT biomedich-103 67 30 2 2 X biomedich-103 67 31 ) ) PUNCT biomedich-103 67 32 newborn newborn ADJ biomedich-103 67 33 individuals individual NOUN biomedich-103 67 34 are be AUX biomedich-103 67 35 included include VERB biomedich-103 67 36 in in ADP biomedich-103 67 37 the the DET biomedich-103 67 38 susceptible susceptible ADJ biomedich-103 67 39 subpopulation subpopulation NOUN biomedich-103 67 40 ; ; PUNCT biomedich-103 67 41 individuals individual NOUN biomedich-103 67 42 who who PRON biomedich-103 67 43 recover recover VERB biomedich-103 67 44 from from ADP biomedich-103 67 45 covid covid PROPN biomedich-103 67 46 are be AUX biomedich-103 67 47 not not PART biomedich-103 67 48 immune immune ADJ biomedich-103 67 49 ; ; PUNCT biomedich-103 67 50 ( ( PUNCT biomedich-103 67 51 3 3 X biomedich-103 67 52 ) ) PUNCT biomedich-103 67 53 every every DET biomedich-103 67 54 individual individual NOUN biomedich-103 67 55 who who PRON biomedich-103 67 56 infected infect VERB biomedich-103 67 57 by by ADP biomedich-103 67 58 covid-19 covid-19 PROPN biomedich-103 67 59 will will AUX biomedich-103 67 60 become become VERB biomedich-103 67 61 infected infect VERB biomedich-103 67 62 ; ; PUNCT biomedich-103 67 63 ( ( PUNCT biomedich-103 67 64 4 4 X biomedich-103 67 65 ) ) PUNCT biomedich-103 67 66 after after ADP biomedich-103 67 67 the the DET biomedich-103 67 68 incubation incubation NOUN biomedich-103 67 69 period period NOUN biomedich-103 67 70 of of ADP biomedich-103 67 71 two two NUM biomedich-103 67 72 weeks week NOUN biomedich-103 67 73 are be AUX biomedich-103 67 74 already already ADV biomedich-103 67 75 considered consider VERB biomedich-103 67 76 an an DET biomedich-103 67 77 infected infected ADJ biomedich-103 67 78 individual individual NOUN biomedich-103 67 79 ; ; PUNCT biomedich-103 67 80 ( ( PUNCT biomedich-103 67 81 5 5 X biomedich-103 67 82 ) ) PUNCT biomedich-103 67 83 a a DET biomedich-103 67 84 vaccine vaccine NOUN biomedich-103 67 85 for for ADP biomedich-103 67 86 covid-19 covid-19 PROPN biomedich-103 67 87 has have AUX biomedich-103 67 88 not not PART biomedich-103 67 89 been be AUX biomedich-103 67 90 found find VERB biomedich-103 67 91 yet yet ADV biomedich-103 67 92 , , PUNCT biomedich-103 67 93 it it PRON biomedich-103 67 94 means mean VERB biomedich-103 67 95 that that SCONJ biomedich-103 67 96 healing healing NOUN biomedich-103 67 97 is be AUX biomedich-103 67 98 due due ADJ biomedich-103 67 99 to to ADP biomedich-103 67 100 good good ADJ biomedich-103 67 101 individual individual ADJ biomedich-103 67 102 immunity immunity NOUN biomedich-103 67 103 , , PUNCT biomedich-103 67 104 not not PART biomedich-103 67 105 because because SCONJ biomedich-103 67 106 of of ADP biomedich-103 67 107 vaccine vaccine NOUN biomedich-103 67 108 ; ; PUNCT biomedich-103 67 109 ( ( PUNCT biomedich-103 67 110 6 6 X biomedich-103 67 111 ) ) PUNCT biomedich-103 67 112 people people NOUN biomedich-103 67 113 who who PRON biomedich-103 67 114 recovery recovery VERB biomedich-103 67 115 from from ADP biomedich-103 67 116 covid-19 covid-19 PROPN biomedich-103 67 117 can can AUX biomedich-103 67 118 be be AUX biomedich-103 67 119 a a DET biomedich-103 67 120 susceptible susceptible ADJ biomedich-103 67 121 subpopulation subpopulation NOUN biomedich-103 67 122 again again ADV biomedich-103 67 123 ; ; PUNCT biomedich-103 67 124 ( ( PUNCT biomedich-103 67 125 7 7 X biomedich-103 67 126 ) ) PUNCT biomedich-103 67 127 birth birth NOUN biomedich-103 67 128 rate rate NOUN biomedich-103 67 129 and and CCONJ biomedich-103 67 130 natural natural ADJ biomedich-103 67 131 mortality mortality NOUN biomedich-103 67 132 rate rate NOUN biomedich-103 67 133 of of ADP biomedich-103 67 134 the the DET biomedich-103 67 135 infected infect VERB biomedich-103 67 136 subpopulation subpopulation NOUN biomedich-103 67 137 and and CCONJ biomedich-103 67 138 recovery recovery NOUN biomedich-103 67 139 does do AUX biomedich-103 67 140 not not PART biomedich-103 67 141 exist exist VERB biomedich-103 67 142 . . PUNCT biomedich-103 68 1 in in ADP biomedich-103 68 2 this this DET biomedich-103 68 3 model model NOUN biomedich-103 68 4 not not PART biomedich-103 68 5 analyzed analyze VERB biomedich-103 68 6 local local ADJ biomedich-103 68 7 stability stability NOUN biomedich-103 68 8 of of ADP biomedich-103 68 9 the the DET biomedich-103 68 10 equilibrium equilibrium NOUN biomedich-103 68 11 point point NOUN biomedich-103 68 12 , , PUNCT biomedich-103 68 13 and and CCONJ biomedich-103 68 14 it it PRON biomedich-103 68 15 become become VERB biomedich-103 68 16 our our PRON biomedich-103 68 17 next next ADJ biomedich-103 68 18 job job NOUN biomedich-103 68 19 . . PUNCT biomedich-103 69 1 figure figure VERB biomedich-103 69 2 2 2 NUM biomedich-103 69 3 sugiyanto sugiyanto NOUN biomedich-103 69 4 & & CCONJ biomedich-103 69 5 abrori abrori NOUN biomedich-103 69 6 – – PUNCT biomedich-103 69 7 a a DET biomedich-103 69 8 mathematical mathematical ADJ biomedich-103 69 9 model model NOUN biomedich-103 69 10 of of ADP biomedich-103 69 11 the the DET biomedich-103 69 12 covid-19 covid-19 PROPN biomedich-103 69 13 cases case NOUN biomedich-103 69 14 in in ADP biomedich-103 69 15 … … PUNCT biomedich-103 69 16 17 17 NUM biomedich-103 69 17 is be AUX biomedich-103 69 18 covid-19 covid-19 PROPN biomedich-103 69 19 deployment deployment NOUN biomedich-103 69 20 transfer transfer NOUN biomedich-103 69 21 diagram diagram NOUN biomedich-103 69 22 . . PUNCT biomedich-103 70 1 based base VERB biomedich-103 70 2 on on ADP biomedich-103 70 3 the the DET biomedich-103 70 4 figure figure NOUN biomedich-103 70 5 2 2 NUM biomedich-103 70 6 , , PUNCT biomedich-103 70 7 transfer transfer NOUN biomedich-103 70 8 diagram diagram NOUN biomedich-103 70 9 , , PUNCT biomedich-103 70 10 formed form VERB biomedich-103 70 11 the the DET biomedich-103 70 12 covid-19 covid-19 PROPN biomedich-103 70 13 spread spread VERB biomedich-103 70 14 mathematics mathematic NOUN biomedich-103 70 15 model model NOUN biomedich-103 70 16 equation equation NOUN biomedich-103 70 17 ( ( PUNCT biomedich-103 70 18 1a 1a NUM biomedich-103 70 19 ) ) PUNCT biomedich-103 70 20 – – PUNCT biomedich-103 70 21 ( ( PUNCT biomedich-103 70 22 1d 1d NUM biomedich-103 70 23 ) ) PUNCT biomedich-103 70 24 . . PUNCT biomedich-103 71 1 figure figure NOUN biomedich-103 71 2 1 1 NUM biomedich-103 71 3 . . PUNCT biomedich-103 72 1 covid-19 covid-19 PROPN biomedich-103 72 2 distribution distribution NOUN biomedich-103 72 3 between between ADP biomedich-103 72 4 individuals individual NOUN biomedich-103 72 5 . . PUNCT biomedich-103 73 1 1 1 NUM biomedich-103 73 2 1 1 NUM biomedich-103 73 3 1 1 NUM biomedich-103 73 4 1 1 NUM biomedich-103 73 5 1 1 NUM biomedich-103 73 6 1 1 NUM biomedich-103 73 7 1 1 NUM biomedich-103 73 8 1 1 NUM biomedich-103 73 9   NOUN biomedich-103 73 10 οƒΆ οƒΆ NOUN biomedich-103 73 11   NOUN biomedich-103 73 12 οƒΆ οƒΆ PROPN biomedich-103 73 13 ο€½ ο€½ PROPN biomedich-103 73 14 ο€­ ο€­ PROPN biomedich-103 73 15   ADV biomedich-103 73 16   PUNCT biomedich-103 73 17 ο€­ ο€­ PROPN biomedich-103 73 18 ο€­ ο€­ PROPN biomedich-103 73 19 ο€­ ο€­ PROPN biomedich-103 73 20   PROPN biomedich-103 73 21 οƒ· οƒ· PROPN biomedich-103 74 1   PROPN biomedich-103 74 2 οƒ· οƒ· PROPN biomedich-103 75 1   ADJ biomedich-103 75 2 οƒΈ οƒΈ PROPN biomedich-103 75 3   PROPN biomedich-103 75 4 οƒΈ οƒΈ NOUN biomedich-103 75 5 ds ds PRON biomedich-103 75 6 s s X biomedich-103 75 7 s s VERB biomedich-103 75 8 a a DET biomedich-103 75 9 s s PROPN biomedich-103 75 10 b b X biomedich-103 75 11 s s NOUN biomedich-103 75 12 r r NOUN biomedich-103 75 13 sv sv NOUN biomedich-103 75 14 e e NOUN biomedich-103 75 15 s s PROPN biomedich-103 75 16 d d X biomedich-103 75 17 s s X biomedich-103 75 18 dt dt X biomedich-103 75 19 k k PROPN biomedich-103 75 20 l l PROPN biomedich-103 75 21   NUM biomedich-103 75 22   NOUN biomedich-103 75 23 ( ( PUNCT biomedich-103 75 24 1a 1a X biomedich-103 75 25 ) ) PUNCT biomedich-103 75 26 2 2 NUM biomedich-103 75 27 2 2 NUM biomedich-103 75 28 2 2 NUM biomedich-103 75 29 3 3 NUM biomedich-103 75 30 2 2 NUM biomedich-103 75 31 2 2 NUM biomedich-103 75 32 1 1 NUM biomedich-103 75 33 1 1 NUM biomedich-103 76 1   NOUN biomedich-103 76 2 οƒΆ οƒΆ NOUN biomedich-103 76 3   NOUN biomedich-103 76 4 οƒΆ οƒΆ PROPN biomedich-103 77 1 ο€½ ο€½ PROPN biomedich-103 77 2 ο€­ ο€­ PROPN biomedich-103 77 3   ADV biomedich-103 77 4   PUNCT biomedich-103 77 5 ο€­ ο€­ PROPN biomedich-103 77 6 ο€­ ο€­ PROPN biomedich-103 77 7 ο€­ ο€­ PROPN biomedich-103 77 8 ο€­ ο€­ PROPN biomedich-103 77 9   PROPN biomedich-103 77 10 οƒ· οƒ· PROPN biomedich-103 78 1   PROPN biomedich-103 78 2 οƒ· οƒ· PROPN biomedich-103 79 1   ADJ biomedich-103 79 2 οƒΈ οƒΈ PROPN biomedich-103 79 3   PROPN biomedich-103 79 4 οƒΈ οƒΈ NOUN biomedich-103 79 5 di di VERB biomedich-103 79 6 i i PRON biomedich-103 79 7 i i PRON biomedich-103 79 8 a a VERB biomedich-103 80 1 i i NOUN biomedich-103 80 2 b b NOUN biomedich-103 81 1 i i PRON biomedich-103 81 2 sv sv VERB biomedich-103 82 1 i i INTJ biomedich-103 82 2 ci ci PROPN biomedich-103 83 1 e e NOUN biomedich-103 83 2 i i NOUN biomedich-103 84 1 d d VERB biomedich-103 84 2 i i PRON biomedich-103 84 3 dt dt X biomedich-103 84 4 k k X biomedich-103 84 5 l l X biomedich-103 84 6   X biomedich-103 84 7   PROPN biomedich-103 84 8 ( ( PUNCT biomedich-103 84 9 1b 1b NUM biomedich-103 84 10 ) ) PUNCT biomedich-103 84 11 3 3 NUM biomedich-103 84 12 3 3 NUM biomedich-103 84 13 3 3 NUM biomedich-103 84 14 3 3 NUM biomedich-103 84 15 3 3 NUM biomedich-103 84 16 3 3 NUM biomedich-103 84 17 1 1 NUM biomedich-103 84 18 1 1 NUM biomedich-103 84 19   NOUN biomedich-103 84 20 οƒΆ οƒΆ NOUN biomedich-103 85 1   NOUN biomedich-103 85 2 οƒΆ οƒΆ PROPN biomedich-103 86 1 ο€½ ο€½ PROPN biomedich-103 86 2 ο€­ ο€­ PROPN biomedich-103 86 3   ADV biomedich-103 86 4   PUNCT biomedich-103 86 5 ο€­ ο€­ PROPN biomedich-103 86 6 ο€­ ο€­ PROPN biomedich-103 86 7 ο€­ ο€­ PROPN biomedich-103 86 8   PROPN biomedich-103 86 9 οƒ· οƒ· PROPN biomedich-103 87 1   PROPN biomedich-103 87 2 οƒ· οƒ· PROPN biomedich-103 88 1   ADJ biomedich-103 88 2 οƒΈ οƒΈ PROPN biomedich-103 88 3   PROPN biomedich-103 88 4 οƒΈ οƒΈ NOUN biomedich-103 88 5 dr dr NOUN biomedich-103 88 6 r r NOUN biomedich-103 88 7 r r NOUN biomedich-103 88 8 a a DET biomedich-103 88 9 r r NOUN biomedich-103 88 10 b b NOUN biomedich-103 89 1 r r NOUN biomedich-103 90 1 i i NOUN biomedich-103 90 2 r r NOUN biomedich-103 90 3 e e NOUN biomedich-103 90 4 r r NOUN biomedich-103 90 5 d d NOUN biomedich-103 90 6 r r NOUN biomedich-103 90 7 dt dt X biomedich-103 90 8 k k PROPN biomedich-103 90 9 l l PROPN biomedich-103 90 10   PROPN biomedich-103 90 11   NUM biomedich-103 90 12 ( ( PUNCT biomedich-103 90 13 1c 1c X biomedich-103 90 14 ) ) PUNCT biomedich-103 91 1 2 2 NUM biomedich-103 91 2 4 4 NUM biomedich-103 91 3 2 2 NUM biomedich-103 91 4 1 1 NUM biomedich-103 91 5   NOUN biomedich-103 91 6 οƒΆ οƒΆ NOUN biomedich-103 91 7 ο€½ ο€½ PROPN biomedich-103 91 8 ο€­ ο€­ PROPN biomedich-103 91 9   PROPN biomedich-103 91 10 οƒ· οƒ· CCONJ biomedich-103 91 11   PROPN biomedich-103 91 12 οƒΈ οƒΈ PROPN biomedich-103 91 13 dv dv INTJ biomedich-103 91 14 i i INTJ biomedich-103 91 15 fa fa INTJ biomedich-103 92 1 i i INTJ biomedich-103 93 1 d d PROPN biomedich-103 93 2 v v X biomedich-103 93 3 dt dt X biomedich-103 93 4 k k PROPN biomedich-103 93 5 ( ( PUNCT biomedich-103 93 6 1d 1d NUM biomedich-103 93 7 ) ) PUNCT biomedich-103 93 8 figure figure NOUN biomedich-103 93 9 2 2 NUM biomedich-103 93 10 . . PUNCT biomedich-103 93 11 transfer transfer NOUN biomedich-103 93 12 diagram diagram NOUN biomedich-103 93 13 of of ADP biomedich-103 93 14 covid-19 covid-19 PROPN biomedich-103 93 15 deployment deployment NOUN biomedich-103 93 16 model model NOUN biomedich-103 93 17 . . PUNCT biomedich-103 94 1 simulation simulation NOUN biomedich-103 94 2 in in ADP biomedich-103 94 3 this this DET biomedich-103 94 4 section section NOUN biomedich-103 94 5 , , PUNCT biomedich-103 94 6 we we PRON biomedich-103 94 7 will will AUX biomedich-103 94 8 discuss discuss VERB biomedich-103 94 9 about about ADP biomedich-103 94 10 numerical numerical ADJ biomedich-103 94 11 simulation simulation NOUN biomedich-103 94 12 and and CCONJ biomedich-103 94 13 its its PRON biomedich-103 94 14 intepretation intepretation NOUN biomedich-103 94 15 by by ADP biomedich-103 94 16 covid-19 covid-19 PROPN biomedich-103 94 17 deployment deployment NOUN biomedich-103 94 18 model model NOUN biomedich-103 94 19 . . PUNCT biomedich-103 95 1 the the DET biomedich-103 95 2 initial initial ADJ biomedich-103 95 3 value value NOUN biomedich-103 95 4 starts start VERB biomedich-103 95 5 from from ADP biomedich-103 95 6 the the DET biomedich-103 95 7 spread spread NOUN biomedich-103 95 8 of of ADP biomedich-103 95 9 covid-19 covid-19 PROPN biomedich-103 95 10 in in ADP biomedich-103 95 11 indonesia indonesia PROPN biomedich-103 95 12 on on ADP biomedich-103 95 13 march march PROPN biomedich-103 95 14 , , PUNCT biomedich-103 95 15 12–23 12–23 NUM biomedich-103 95 16 , , PUNCT biomedich-103 95 17 2020 2020 NUM biomedich-103 95 18 that that PRON biomedich-103 95 19 was be AUX biomedich-103 95 20 announced announce VERB biomedich-103 95 21 by by ADP biomedich-103 95 22 the the DET biomedich-103 95 23 indonesian indonesian ADJ biomedich-103 95 24 goverment goverment NOUN biomedich-103 95 25 . . PUNCT biomedich-103 96 1 the the DET biomedich-103 96 2 initial initial ADJ biomedich-103 96 3 value value NOUN biomedich-103 96 4 of of ADP biomedich-103 96 5 the the DET biomedich-103 96 6 susceptible susceptible ADJ biomedich-103 96 7 is be AUX biomedich-103 96 8 taken take VERB biomedich-103 96 9 from from ADP biomedich-103 96 10 the the DET biomedich-103 96 11 total total ADJ biomedich-103 96 12 population population NOUN biomedich-103 96 13 of of ADP biomedich-103 96 14 indonesian indonesian ADJ biomedich-103 96 15 divided divide VERB biomedich-103 96 16 by by ADP biomedich-103 96 17 the the DET biomedich-103 96 18 population population NOUN biomedich-103 96 19 of of ADP biomedich-103 96 20 indonesian indonesian PROPN biomedich-103 96 21 , , PUNCT biomedich-103 96 22 𝑆0 𝑆0 X biomedich-103 96 23 = = SYM biomedich-103 96 24 260,000,000 260,000,000 NUM biomedich-103 96 25 260,000,000 260,000,000 NUM biomedich-103 96 26 = = SYM biomedich-103 96 27 1 1 NUM biomedich-103 96 28 . . PUNCT biomedich-103 97 1 the the DET biomedich-103 97 2 infected infected ADJ biomedich-103 97 3 value value NOUN biomedich-103 97 4 was be AUX biomedich-103 97 5 taken take VERB biomedich-103 97 6 from from ADP biomedich-103 97 7 the the DET biomedich-103 97 8 number number NOUN biomedich-103 97 9 of of ADP biomedich-103 97 10 people people NOUN biomedich-103 97 11 infected infect VERB biomedich-103 97 12 on on ADP biomedich-103 97 13 march march PROPN biomedich-103 97 14 23 23 NUM biomedich-103 97 15 , , PUNCT biomedich-103 97 16 2020 2020 NUM biomedich-103 97 17 divided divide VERB biomedich-103 97 18 by by ADP biomedich-103 97 19 the the DET biomedich-103 97 20 population population NOUN biomedich-103 97 21 of of ADP biomedich-103 97 22 indonesian indonesian PROPN biomedich-103 97 23 , , PUNCT biomedich-103 97 24 𝐼0 𝐼0 ADJ biomedich-103 97 25 = = SYM biomedich-103 97 26 579 579 NUM biomedich-103 97 27 260,000,000 260,000,000 NUM biomedich-103 97 28 = = SYM biomedich-103 97 29 0.0000022269 0.0000022269 NUM biomedich-103 97 30 . . PUNCT biomedich-103 98 1 the the DET biomedich-103 98 2 recovery recovery NOUN biomedich-103 98 3 values value NOUN biomedich-103 98 4 is be AUX biomedich-103 98 5 taken take VERB biomedich-103 98 6 from from ADP biomedich-103 98 7 the the DET biomedich-103 98 8 number number NOUN biomedich-103 98 9 of of ADP biomedich-103 98 10 people people NOUN biomedich-103 98 11 recovered recover VERB biomedich-103 98 12 on on ADP biomedich-103 98 13 march march PROPN biomedich-103 98 14 23 23 NUM biomedich-103 98 15 , , PUNCT biomedich-103 98 16 2020 2020 NUM biomedich-103 98 17 divided divide VERB biomedich-103 98 18 by by ADP biomedich-103 98 19 the the DET biomedich-103 98 20 total total ADJ biomedich-103 98 21 population population NOUN biomedich-103 98 22 of of ADP biomedich-103 98 23 indonesia indonesia PROPN biomedich-103 98 24 , , PUNCT biomedich-103 98 25 𝑅0 𝑅0 PROPN biomedich-103 98 26 = = SYM biomedich-103 98 27 30 30 NUM biomedich-103 98 28 260,000,000 260,000,000 NUM biomedich-103 98 29 = = SYM biomedich-103 98 30 0.0000001 0.0000001 NUM biomedich-103 98 31 . . PUNCT biomedich-103 99 1 covid-19 covid-19 PROPN biomedich-103 99 2 value value NOUN biomedich-103 99 3 is be AUX biomedich-103 99 4 taken take VERB biomedich-103 99 5 by by ADP biomedich-103 99 6 the the DET biomedich-103 99 7 estimation estimation NOUN biomedich-103 99 8 , , PUNCT biomedich-103 99 9 𝑉0 𝑉0 X biomedich-103 99 10 = = SYM biomedich-103 99 11 1,000,000 1,000,000 NUM biomedich-103 99 12 260,000,000 260,000,000 NUM biomedich-103 99 13 = = SYM biomedich-103 99 14 0.0038461538 0.0038461538 NUM biomedich-103 99 15 . . PUNCT biomedich-103 100 1 the the DET biomedich-103 100 2 parameter parameter NOUN biomedich-103 100 3 values value NOUN biomedich-103 100 4 are be AUX biomedich-103 100 5 as as SCONJ biomedich-103 100 6 follows follow NOUN biomedich-103 100 7 . . PUNCT biomedich-103 101 1 indonesia indonesia PROPN biomedich-103 101 2 area area PROPN biomedich-103 101 3 1.905 1.905 NUM biomedich-103 101 4 x x SYM biomedich-103 101 5 109 109 NUM biomedich-103 101 6 km2 km2 NOUN biomedich-103 101 7 . . PUNCT biomedich-103 102 1 in in ADP biomedich-103 102 2 2019 2019 NUM biomedich-103 102 3 , , PUNCT biomedich-103 102 4 the the DET biomedich-103 102 5 birth birth NOUN biomedich-103 102 6 rate rate NOUN biomedich-103 102 7 is be AUX biomedich-103 102 8 = = SYM biomedich-103 102 9 4.4 4.4 NUM biomedich-103 102 10 x x SYM biomedich-103 102 11 106 106 NUM biomedich-103 102 12 people people NOUN biomedich-103 102 13 . . PUNCT biomedich-103 103 1 in in ADP biomedich-103 103 2 2019 2019 NUM biomedich-103 103 3 , , PUNCT biomedich-103 103 4 the the DET biomedich-103 103 5 mortality mortality NOUN biomedich-103 103 6 rate rate NOUN biomedich-103 103 7 is be AUX biomedich-103 103 8 = = SYM biomedich-103 103 9 1.6 1.6 NUM biomedich-103 103 10 x x SYM biomedich-103 103 11 106 106 NUM biomedich-103 103 12 people people NOUN biomedich-103 103 13 . . PUNCT biomedich-103 104 1 there there PRON biomedich-103 104 2 are be VERB biomedich-103 104 3 365 365 NUM biomedich-103 104 4 days day NOUN biomedich-103 104 5 in in ADP biomedich-103 104 6 one one NUM biomedich-103 104 7 year year NOUN biomedich-103 104 8 . . PUNCT biomedich-103 105 1 6 6 NUM biomedich-103 105 2 3 3 NUM biomedich-103 105 3 1 1 NUM biomedich-103 105 4 1 1 NUM biomedich-103 105 5 9 9 NUM biomedich-103 105 6 4.4 4.4 NUM biomedich-103 105 7 10 10 NUM biomedich-103 105 8 6.3 6.3 NUM biomedich-103 105 9 10 10 NUM biomedich-103 105 10 1.905 1.905 NUM biomedich-103 105 11 10 10 NUM biomedich-103 105 12 365 365 NUM biomedich-103 105 13 ο€­ ο€­ PROPN biomedich-103 105 14 ο€­ο€½ ο€­ο€½ ADP biomedich-103 105 15 ο€½ ο€½ NOUN biomedich-103 105 16 x x PUNCT biomedich-103 105 17 a a DET biomedich-103 105 18 x x ADJ biomedich-103 105 19 day day NOUN biomedich-103 105 20 x x SYM biomedich-103 105 21 x x SYM biomedich-103 105 22 6 6 NUM biomedich-103 105 23 1 1 NUM biomedich-103 105 24 3 3 NUM biomedich-103 105 25 1 1 NUM biomedich-103 105 26 1 1 NUM biomedich-103 105 27 9 9 NUM biomedich-103 105 28 1.6 1.6 NUM biomedich-103 105 29 10 10 NUM biomedich-103 105 30 2.3 2.3 NUM biomedich-103 105 31 10 10 NUM biomedich-103 105 32 1.905 1.905 NUM biomedich-103 105 33 10 10 NUM biomedich-103 105 34 365 365 NUM biomedich-103 105 35 ο€­ ο€­ PROPN biomedich-103 105 36 ο€­ ο€­ NOUN biomedich-103 105 37 ο€­ο€½ ο€­ο€½ NOUN biomedich-103 106 1 ο€½ ο€½ PROPN biomedich-103 106 2 x x PUNCT biomedich-103 107 1 d d NUM biomedich-103 107 2 day day NOUN biomedich-103 107 3 x x NOUN biomedich-103 107 4 day day NOUN biomedich-103 107 5 x x X biomedich-103 107 6 x x X biomedich-103 107 7 from from ADP biomedich-103 107 8 the the DET biomedich-103 107 9 assumption assumption NOUN biomedich-103 107 10 of of ADP biomedich-103 107 11 natural natural ADJ biomedich-103 107 12 birth birth NOUN biomedich-103 107 13 and and CCONJ biomedich-103 107 14 death death NOUN biomedich-103 107 15 that that PRON biomedich-103 107 16 the the DET biomedich-103 107 17 infected infected ADJ biomedich-103 107 18 subpopulation subpopulation NOUN biomedich-103 107 19 does do AUX biomedich-103 107 20 not not PART biomedich-103 107 21 exist exist VERB biomedich-103 107 22 , , PUNCT biomedich-103 107 23 then then ADV biomedich-103 107 24 the the DET biomedich-103 107 25 parameter parameter NOUN biomedich-103 107 26 π‘Ž2 π‘Ž2 NOUN biomedich-103 107 27 = = PROPN biomedich-103 107 28 0 0 PUNCT biomedich-103 107 29 and and CCONJ biomedich-103 107 30 𝑑2 𝑑2 NOUN biomedich-103 107 31 = = SYM biomedich-103 107 32 0 0 X biomedich-103 107 33 . . PUNCT biomedich-103 107 34 from from ADP biomedich-103 107 35 the the DET biomedich-103 107 36 assumption assumption NOUN biomedich-103 107 37 of of ADP biomedich-103 107 38 natural natural ADJ biomedich-103 107 39 birth birth NOUN biomedich-103 107 40 and and CCONJ biomedich-103 107 41 death death NOUN biomedich-103 107 42 recovery recovery NOUN biomedich-103 107 43 subpopulation subpopulation NOUN biomedich-103 107 44 does do AUX biomedich-103 107 45 not not PART biomedich-103 107 46 exist exist VERB biomedich-103 107 47 , , PUNCT biomedich-103 107 48 then then ADV biomedich-103 107 49 the the DET biomedich-103 107 50 parameter parameter NOUN biomedich-103 107 51 π‘Ž3 π‘Ž3 PROPN biomedich-103 107 52 = = SYM biomedich-103 107 53 0 0 NUM biomedich-103 107 54 dan dan PROPN biomedich-103 107 55 𝑑3 𝑑3 PROPN biomedich-103 107 56 = = SYM biomedich-103 108 1 0 0 NUM biomedich-103 108 2 . . PUNCT biomedich-103 109 1 because because SCONJ biomedich-103 109 2 the the DET biomedich-103 109 3 indonesia indonesia PROPN biomedich-103 109 4 country country NOUN biomedich-103 109 5 has have AUX biomedich-103 109 6 suspended suspend VERB biomedich-103 109 7 its its PRON biomedich-103 109 8 arrival arrival NOUN biomedich-103 109 9 visa visa NOUN biomedich-103 109 10 and and CCONJ biomedich-103 109 11 the the DET biomedich-103 109 12 other other ADJ biomedich-103 109 13 countries country NOUN biomedich-103 109 14 have have AUX biomedich-103 109 15 also also ADV biomedich-103 109 16 applied apply VERB biomedich-103 109 17 for for ADP biomedich-103 109 18 a a DET biomedich-103 109 19 visa visa NOUN biomedich-103 109 20 suspension suspension NOUN biomedich-103 109 21 , , PUNCT biomedich-103 109 22 then then ADV biomedich-103 109 23 the the DET biomedich-103 109 24 parameter parameter NOUN biomedich-103 109 25 𝑏1 𝑏1 NOUN biomedich-103 109 26 = = SYM biomedich-103 109 27 𝑏2 𝑏2 NOUN biomedich-103 109 28 = = PUNCT biomedich-103 109 29 𝑏3 𝑏3 PROPN biomedich-103 109 30 = = NOUN biomedich-103 109 31 𝑒1 𝑒1 NOUN biomedich-103 109 32 = = SYM biomedich-103 109 33 𝑒2 𝑒2 NOUN biomedich-103 109 34 = = SYM biomedich-103 109 35 𝑒3 𝑒3 PROPN biomedich-103 109 36 = = NOUN biomedich-103 109 37 0 0 PROPN biomedich-103 109 38 . . PUNCT biomedich-103 110 1 from from ADP biomedich-103 110 2 the the DET biomedich-103 110 3 table table NOUN biomedich-103 110 4 2 2 NUM biomedich-103 110 5 , , PUNCT biomedich-103 110 6 we we PRON biomedich-103 110 7 take take VERB biomedich-103 110 8 the the DET biomedich-103 110 9 highest high ADJ biomedich-103 110 10 gradient gradient NOUN biomedich-103 110 11 that that PRON biomedich-103 110 12 is be AUX biomedich-103 110 13 from from ADP biomedich-103 110 14 march march PROPN biomedich-103 110 15 17–18 17–18 NUM biomedich-103 110 16 , , PUNCT biomedich-103 110 17 2020 2020 NUM biomedich-103 110 18 are be AUX biomedich-103 110 19 14 14 NUM biomedich-103 110 20 souls soul NOUN biomedich-103 110 21 per per ADP biomedich-103 110 22 day day NOUN biomedich-103 110 23 ( ( PUNCT biomedich-103 110 24 zonautara zonautara NOUN biomedich-103 110 25 , , PUNCT biomedich-103 110 26 2020 2020 NUM biomedich-103 110 27 ) ) PUNCT biomedich-103 110 28 . . PUNCT biomedich-103 111 1 it it PRON biomedich-103 111 2 means mean VERB biomedich-103 111 3 , , PUNCT biomedich-103 111 4 the the DET biomedich-103 111 5 death death NOUN biomedich-103 111 6 rates rate NOUN biomedich-103 111 7 due due ADP biomedich-103 111 8 to to ADP biomedich-103 111 9 the the DET biomedich-103 111 10 diseases disease NOUN biomedich-103 111 11 caused cause VERB biomedich-103 111 12 by by ADP biomedich-103 111 13 covid-19 covid-19 PROPN biomedich-103 111 14 is be AUX biomedich-103 111 15 the the DET biomedich-103 111 16 highest high ADJ biomedich-103 111 17 mortality mortality NOUN biomedich-103 111 18 divided divide VERB biomedich-103 111 19 by by ADP biomedich-103 111 20 indonesian indonesian ADJ biomedich-103 111 21 population population NOUN biomedich-103 111 22 or or CCONJ biomedich-103 111 23 𝑐 𝑐 NOUN biomedich-103 111 24 = = SYM biomedich-103 111 25 14 14 NUM biomedich-103 111 26 260,000,000 260,000,000 NUM biomedich-103 111 27 = = SYM biomedich-103 111 28 0.0000000538 0.0000000538 NUM biomedich-103 111 29 π‘π‘’π‘Ÿπ‘ π‘œπ‘›βˆ’2π‘‘π‘Žπ‘¦βˆ’1 π‘π‘’π‘Ÿπ‘ π‘œπ‘›βˆ’2π‘‘π‘Žπ‘¦βˆ’1 NOUN biomedich-103 111 30 . . PUNCT biomedich-103 112 1 value value NOUN biomedich-103 112 2 260,000,000 260,000,000 NUM biomedich-103 112 3 are be AUX biomedich-103 112 4 taken take VERB biomedich-103 112 5 from from ADP biomedich-103 112 6 the the DET biomedich-103 112 7 indonesian indonesian ADJ biomedich-103 112 8 population population NOUN biomedich-103 112 9 . . PUNCT biomedich-103 113 1 the the DET biomedich-103 113 2 value value NOUN biomedich-103 113 3 of of ADP biomedich-103 113 4 covid-19 covid-19 PROPN biomedich-103 113 5 mortality mortality NOUN biomedich-103 113 6 rates rate NOUN biomedich-103 113 7 in in ADP biomedich-103 113 8 the the DET biomedich-103 113 9 environment environment NOUN biomedich-103 113 10 ( ( PUNCT biomedich-103 113 11 d d X biomedich-103 113 12 ) ) PUNCT biomedich-103 113 13 be be AUX biomedich-103 113 14 accepted accept VERB biomedich-103 113 15 𝑑4 𝑑4 ADV biomedich-103 113 16 = = SYM biomedich-103 113 17 2 2 NUM biomedich-103 113 18 260,000,000 260,000,000 NUM biomedich-103 113 19 = = SYM biomedich-103 113 20 7.7π‘₯10βˆ’9 7.7π‘₯10βˆ’9 NUM biomedich-103 113 21 π‘‘π‘Žπ‘¦βˆ’1 π‘‘π‘Žπ‘¦βˆ’1 PROPN biomedich-103 113 22 ( ( PUNCT biomedich-103 113 23 bnpb bnpb ADJ biomedich-103 113 24 , , PUNCT biomedich-103 113 25 2020 2020 NUM biomedich-103 113 26 ) ) PUNCT biomedich-103 113 27 . . PUNCT biomedich-103 114 1 the the DET biomedich-103 114 2 estimated estimate VERB biomedich-103 114 3 value value NOUN biomedich-103 114 4 of of ADP biomedich-103 114 5 covid-19 covid-19 PROPN biomedich-103 114 6 emergence emergence NOUN biomedich-103 114 7 rate rate NOUN biomedich-103 114 8 in in ADP biomedich-103 114 9 the the DET biomedich-103 114 10 environment environment NOUN biomedich-103 114 11 ( ( PUNCT biomedich-103 114 12 𝑓 𝑓 X biomedich-103 114 13 ) ) PUNCT biomedich-103 114 14 be be AUX biomedich-103 114 15 accepted accept VERB biomedich-103 114 16 𝑓 𝑓 DET biomedich-103 114 17 = = SYM biomedich-103 114 18 260,000 260,000 NUM biomedich-103 114 19 260,000,000 260,000,000 NUM biomedich-103 114 20 = = SYM biomedich-103 114 21 1π‘₯10βˆ’3 1π‘₯10βˆ’3 NOUN biomedich-103 114 22 π‘£π‘–π‘Ÿπ‘’π‘  π‘£π‘–π‘Ÿπ‘’π‘  VERB biomedich-103 114 23 π‘π‘’π‘Ÿπ‘ π‘œπ‘›βˆ’1π‘‘π‘Žπ‘¦βˆ’1 π‘π‘’π‘Ÿπ‘ π‘œπ‘›βˆ’1π‘‘π‘Žπ‘¦βˆ’1 NOUN biomedich-103 114 24 . . PUNCT biomedich-103 115 1 the the DET biomedich-103 115 2 value value NOUN biomedich-103 115 3 of of ADP biomedich-103 115 4 the the DET biomedich-103 115 5 level level NOUN biomedich-103 115 6 of of ADP biomedich-103 115 7 interaction interaction NOUN biomedich-103 115 8 between between ADP biomedich-103 115 9 susceptible susceptible ADJ biomedich-103 115 10 subpopulation subpopulation NOUN biomedich-103 115 11 become become VERB biomedich-103 115 12 infected infected ADJ biomedich-103 115 13 subpopulation subpopulation NOUN biomedich-103 115 14 ( ( PUNCT biomedich-103 115 15 𝛼 𝛼 NOUN biomedich-103 115 16 ) ) PUNCT biomedich-103 115 17 taken take VERB biomedich-103 115 18 from from ADP biomedich-103 115 19 the the DET biomedich-103 115 20 slope slope NOUN biomedich-103 115 21 of of ADP biomedich-103 115 22 the the DET biomedich-103 115 23 highest high ADJ biomedich-103 115 24 infected infect VERB biomedich-103 115 25 divided divide VERB biomedich-103 115 26 by by ADP biomedich-103 115 27 indonesian indonesian ADJ biomedich-103 115 28 population population NOUN biomedich-103 115 29 . . PUNCT biomedich-103 116 1 the the DET biomedich-103 116 2 highest high ADJ biomedich-103 116 3 slope slope NOUN biomedich-103 116 4 is be AUX biomedich-103 116 5 on on ADP biomedich-103 116 6 march march PROPN biomedich-103 116 7 , , PUNCT biomedich-103 116 8 18–19 18–19 NUM biomedich-103 116 9 , , PUNCT biomedich-103 116 10 2020 2020 NUM biomedich-103 116 11 or or CCONJ biomedich-103 116 12 march march PROPN biomedich-103 116 13 , , PUNCT biomedich-103 116 14 20–23 20–23 PROPN biomedich-103 116 15 , , PUNCT biomedich-103 116 16 2020 2020 NUM biomedich-103 116 17 there there PRON biomedich-103 116 18 were be VERB biomedich-103 116 19 81 81 NUM biomedich-103 116 20 people people NOUN biomedich-103 116 21 died die VERB biomedich-103 116 22 in in ADP biomedich-103 116 23 one one NUM biomedich-103 116 24 day day NOUN biomedich-103 116 25 . . PUNCT biomedich-103 117 1 so so ADV biomedich-103 117 2 , , PUNCT biomedich-103 117 3 the the DET biomedich-103 117 4 value value NOUN biomedich-103 117 5 of of ADP biomedich-103 117 6 𝛼 𝛼 PROPN biomedich-103 117 7 is be AUX biomedich-103 117 8 81 81 NUM biomedich-103 117 9 divided divide VERB biomedich-103 117 10 ten ten NUM biomedich-103 117 11 times time NOUN biomedich-103 117 12 of of ADP biomedich-103 117 13 579 579 NUM biomedich-103 117 14 people people NOUN biomedich-103 117 15 were be AUX biomedich-103 117 16 infected infect VERB biomedich-103 117 17 ( ( PUNCT biomedich-103 117 18 ten ten NUM biomedich-103 117 19 fold fold NOUN biomedich-103 117 20 was be AUX biomedich-103 117 21 infected infect VERB biomedich-103 117 22 but but CCONJ biomedich-103 117 23 its its PRON biomedich-103 117 24 unknown unknown ADJ biomedich-103 117 25 , , PUNCT biomedich-103 117 26 because because SCONJ biomedich-103 117 27 it it PRON biomedich-103 117 28 ’s ’ VERB biomedich-103 117 29 not not PART biomedich-103 117 30 covid-19 covid-19 PROPN biomedich-103 117 31 tested test VERB biomedich-103 117 32 ) ) PUNCT biomedich-103 117 33 , , PUNCT biomedich-103 117 34 𝛼 𝛼 NOUN biomedich-103 117 35 = = SYM biomedich-103 117 36 81 81 NUM biomedich-103 117 37 579π‘₯10 579π‘₯10 NUM biomedich-103 117 38 = = SYM biomedich-103 117 39 3.6π‘₯10βˆ’3 3.6π‘₯10βˆ’3 NUM biomedich-103 117 40 π‘‘π‘Žπ‘¦βˆ’1π‘£π‘–π‘Ÿπ‘’π‘ βˆ’1 π‘‘π‘Žπ‘¦βˆ’1π‘£π‘–π‘Ÿπ‘’π‘ βˆ’1 PROPN biomedich-103 117 41 . . PUNCT biomedich-103 118 1 the the DET biomedich-103 118 2 value value NOUN biomedich-103 118 3 of of ADP biomedich-103 118 4 the the DET biomedich-103 118 5 level level NOUN biomedich-103 118 6 of of ADP biomedich-103 118 7 interaction interaction NOUN biomedich-103 118 8 between between ADP biomedich-103 118 9 recovery recovery NOUN biomedich-103 118 10 subpopulation subpopulation NOUN biomedich-103 118 11 become become VERB biomedich-103 118 12 susceptible susceptible ADJ biomedich-103 118 13 18 18 NUM biomedich-103 118 14 biology biology NOUN biomedich-103 118 15 , , PUNCT biomedich-103 118 16 medicine medicine NOUN biomedich-103 118 17 , , PUNCT biomedich-103 118 18 & & CCONJ biomedich-103 118 19 natural natural ADJ biomedich-103 118 20 product product NOUN biomedich-103 118 21 chemistry chemistry NOUN biomedich-103 118 22 9 9 NUM biomedich-103 118 23 ( ( PUNCT biomedich-103 118 24 1 1 NUM biomedich-103 118 25 ) ) PUNCT biomedich-103 118 26 , , PUNCT biomedich-103 118 27 2020 2020 NUM biomedich-103 118 28 : : PUNCT biomedich-103 118 29 15 15 NUM biomedich-103 118 30 - - SYM biomedich-103 118 31 19 19 NUM biomedich-103 118 32 subpopulation subpopulation NOUN biomedich-103 118 33 ( ( PUNCT biomedich-103 118 34 𝛽 𝛽 NOUN biomedich-103 118 35 ) ) PUNCT biomedich-103 118 36 taken take VERB biomedich-103 118 37 from from ADP biomedich-103 118 38 the the DET biomedich-103 118 39 highest high ADJ biomedich-103 118 40 slope slope NOUN biomedich-103 118 41 recovery recovery NOUN biomedich-103 118 42 divided divide VERB biomedich-103 118 43 by by ADP biomedich-103 118 44 the the DET biomedich-103 118 45 population population NOUN biomedich-103 118 46 of of ADP biomedich-103 118 47 indonesian indonesian PROPN biomedich-103 118 48 . . PUNCT biomedich-103 119 1 the the DET biomedich-103 119 2 highest high ADJ biomedich-103 119 3 slope slope NOUN biomedich-103 119 4 was be AUX biomedich-103 119 5 on on ADP biomedich-103 119 6 march march PROPN biomedich-103 119 7 21–22 21–22 NUM biomedich-103 119 8 , , PUNCT biomedich-103 119 9 2020 2020 NUM biomedich-103 119 10 as as ADV biomedich-103 119 11 many many ADJ biomedich-103 119 12 as as ADP biomedich-103 119 13 9 9 NUM biomedich-103 119 14 people people NOUN biomedich-103 119 15 died die VERB biomedich-103 119 16 in in ADP biomedich-103 119 17 one one NUM biomedich-103 119 18 day day NOUN biomedich-103 119 19 . . PUNCT biomedich-103 120 1 so so ADV biomedich-103 120 2 , , PUNCT biomedich-103 120 3 the the DET biomedich-103 120 4 𝛽 𝛽 NOUN biomedich-103 120 5 value value NOUN biomedich-103 120 6 is be AUX biomedich-103 120 7 9 9 NUM biomedich-103 120 8 divided divide VERB biomedich-103 120 9 by by ADP biomedich-103 120 10 a a DET biomedich-103 120 11 hundred hundred NUM biomedich-103 120 12 multiple multiple NOUN biomedich-103 120 13 of of ADP biomedich-103 120 14 30 30 NUM biomedich-103 120 15 people people NOUN biomedich-103 120 16 who who PRON biomedich-103 120 17 recover recover VERB biomedich-103 120 18 ( ( PUNCT biomedich-103 120 19 one one NUM biomedich-103 120 20 hundred hundred NUM biomedich-103 120 21 multiples multiple NOUN biomedich-103 120 22 are be AUX biomedich-103 120 23 recovery recovery NOUN biomedich-103 120 24 but but CCONJ biomedich-103 120 25 not not PART biomedich-103 120 26 known know VERB biomedich-103 120 27 , , PUNCT biomedich-103 120 28 because because SCONJ biomedich-103 120 29 it it PRON biomedich-103 120 30 does do AUX biomedich-103 120 31 not not PART biomedich-103 120 32 test test VERB biomedich-103 120 33 by by ADP biomedich-103 120 34 covid-19 covid-19 PROPN biomedich-103 120 35 ) ) PUNCT biomedich-103 120 36 , , PUNCT biomedich-103 120 37 𝛽 𝛽 NOUN biomedich-103 120 38 = = SYM biomedich-103 120 39 9 9 NUM biomedich-103 120 40 30π‘₯100 30π‘₯100 NOUN biomedich-103 120 41 = = SYM biomedich-103 121 1 3π‘₯10βˆ’3π‘‘π‘Žπ‘¦βˆ’1 3π‘₯10βˆ’3π‘‘π‘Žπ‘¦βˆ’1 NUM biomedich-103 121 2 . . PUNCT biomedich-103 122 1 the the DET biomedich-103 122 2 value value NOUN biomedich-103 122 3 of of ADP biomedich-103 122 4 the the DET biomedich-103 122 5 level level NOUN biomedich-103 122 6 of of ADP biomedich-103 122 7 interaction interaction NOUN biomedich-103 122 8 between between ADP biomedich-103 122 9 recovery recovery NOUN biomedich-103 122 10 subpopulation subpopulation NOUN biomedich-103 122 11 become become VERB biomedich-103 122 12 susceptible susceptible ADJ biomedich-103 122 13 subpopulation subpopulation NOUN biomedich-103 122 14 ( ( PUNCT biomedich-103 122 15 𝛾 𝛾 NOUN biomedich-103 122 16 ) ) PUNCT biomedich-103 122 17 taken take VERB biomedich-103 122 18 the the DET biomedich-103 122 19 same same ADJ biomedich-103 122 20 as as ADP biomedich-103 122 21 𝛽. 𝛽. VERB biomedich-103 122 22 the the DET biomedich-103 122 23 value value NOUN biomedich-103 122 24 of of ADP biomedich-103 122 25 carrying carry VERB biomedich-103 122 26 capacity capacity NOUN biomedich-103 122 27 of of ADP biomedich-103 122 28 natural natural ADJ biomedich-103 122 29 birth birth NOUN biomedich-103 122 30 and and CCONJ biomedich-103 122 31 death death NOUN biomedich-103 122 32 in in ADP biomedich-103 122 33 the the DET biomedich-103 122 34 susceptible susceptible ADJ biomedich-103 122 35 sub sub NOUN biomedich-103 122 36 population population NOUN biomedich-103 122 37 taken take VERB biomedich-103 122 38 with with ADP biomedich-103 122 39 an an DET biomedich-103 122 40 estimated estimate VERB biomedich-103 122 41 number number NOUN biomedich-103 122 42 of of ADP biomedich-103 122 43 deaths death NOUN biomedich-103 122 44 of of ADP biomedich-103 122 45 500,000 500,000 NUM biomedich-103 122 46 people people NOUN biomedich-103 122 47 divided divide VERB biomedich-103 122 48 indonesian indonesian ADJ biomedich-103 122 49 population population NOUN biomedich-103 122 50 , , PUNCT biomedich-103 122 51 that that ADV biomedich-103 122 52 is be AUX biomedich-103 122 53 3 3 NUM biomedich-103 122 54 1 1 NUM biomedich-103 122 55 2 2 NUM biomedich-103 122 56 3 3 NUM biomedich-103 122 57 1 1 NUM biomedich-103 122 58 2 2 NUM biomedich-103 122 59 3 3 NUM biomedich-103 122 60 500,000 500,000 NUM biomedich-103 122 61 1.923 1.923 NUM biomedich-103 122 62 10 10 NUM biomedich-103 122 63 . . PUNCT biomedich-103 123 1 260,000,000 260,000,000 NUM biomedich-103 123 2 ο€­ο€½ ο€­ο€½ NOUN biomedich-103 123 3 ο€½ ο€½ PROPN biomedich-103 124 1 ο€½ ο€½ ADJ biomedich-103 125 1 ο€½ ο€½ PRON biomedich-103 126 1 ο€½ ο€½ PRON biomedich-103 127 1 ο€½ ο€½ NUM biomedich-103 127 2 ο€½k ο€½k NOUN biomedich-103 128 1 k k PROPN biomedich-103 128 2 k k PROPN biomedich-103 128 3 l l PUNCT biomedich-103 128 4 l l X biomedich-103 128 5 l l NOUN biomedich-103 128 6 x x PART biomedich-103 128 7 to to PART biomedich-103 128 8 summarize summarize VERB biomedich-103 128 9 the the DET biomedich-103 128 10 parameter parameter NOUN biomedich-103 128 11 values value NOUN biomedich-103 128 12 , , PUNCT biomedich-103 128 13 we we PRON biomedich-103 128 14 shown show VERB biomedich-103 128 15 in in ADP biomedich-103 128 16 table table NOUN biomedich-103 128 17 3 3 NUM biomedich-103 128 18 . . PUNCT biomedich-103 128 19 table table NOUN biomedich-103 128 20 2 2 NUM biomedich-103 128 21 . . PUNCT biomedich-103 129 1 the the DET biomedich-103 129 2 data datum NOUN biomedich-103 129 3 that that PRON biomedich-103 129 4 died die VERB biomedich-103 129 5 in in ADP biomedich-103 129 6 indonesia indonesia PROPN biomedich-103 129 7 because because SCONJ biomedich-103 129 8 of of ADP biomedich-103 129 9 covid-19 covid-19 PROPN biomedich-103 129 10 ( ( PUNCT biomedich-103 129 11 zonautara zonautara PROPN biomedich-103 129 12 , , PUNCT biomedich-103 129 13 2020 2020 NUM biomedich-103 129 14 ) ) PUNCT biomedich-103 129 15 . . PUNCT biomedich-103 130 1 no no INTJ biomedich-103 130 2 . . PUNCT biomedich-103 131 1 by by ADP biomedich-103 131 2 the the DET biomedich-103 131 3 date date NOUN biomedich-103 131 4 the the DET biomedich-103 131 5 number number NOUN biomedich-103 131 6 of of ADP biomedich-103 131 7 people people NOUN biomedich-103 131 8 died die VERB biomedich-103 131 9 the the DET biomedich-103 131 10 number number NOUN biomedich-103 131 11 of of ADP biomedich-103 131 12 people people NOUN biomedich-103 131 13 recovered recover VERB biomedich-103 131 14 the the DET biomedich-103 131 15 number number NOUN biomedich-103 131 16 of of ADP biomedich-103 131 17 people people NOUN biomedich-103 131 18 infected infect VERB biomedich-103 131 19 1 1 NUM biomedich-103 131 20 . . NOUN biomedich-103 131 21 12 12 NUM biomedich-103 131 22 march march NOUN biomedich-103 131 23 2020 2020 NUM biomedich-103 131 24 1 1 NUM biomedich-103 131 25 4 4 NUM biomedich-103 131 26 34 34 NUM biomedich-103 131 27 2 2 NUM biomedich-103 131 28 . . NOUN biomedich-103 131 29 13 13 NUM biomedich-103 131 30 march march NOUN biomedich-103 131 31 2020 2020 NUM biomedich-103 131 32 4 4 NUM biomedich-103 131 33 4 4 NUM biomedich-103 131 34 69 69 NUM biomedich-103 131 35 3 3 NUM biomedich-103 131 36 . . NOUN biomedich-103 131 37 14 14 NUM biomedich-103 131 38 march march NOUN biomedich-103 131 39 2020 2020 NUM biomedich-103 131 40 5 5 NUM biomedich-103 131 41 5 5 NUM biomedich-103 131 42 96 96 NUM biomedich-103 131 43 4 4 NUM biomedich-103 131 44 . . NOUN biomedich-103 131 45 15 15 NUM biomedich-103 131 46 march march NOUN biomedich-103 131 47 2020 2020 NUM biomedich-103 131 48 5 5 NUM biomedich-103 131 49 5 5 NUM biomedich-103 131 50 117 117 NUM biomedich-103 131 51 5 5 NUM biomedich-103 131 52 . . PUNCT biomedich-103 131 53 16 16 NUM biomedich-103 131 54 march march NOUN biomedich-103 131 55 2020 2020 NUM biomedich-103 131 56 5 5 NUM biomedich-103 131 57 8 8 NUM biomedich-103 131 58 134 134 NUM biomedich-103 131 59 6 6 NUM biomedich-103 131 60 . . PUNCT biomedich-103 131 61 17 17 NUM biomedich-103 131 62 march march NOUN biomedich-103 131 63 2020 2020 NUM biomedich-103 131 64 5 5 NUM biomedich-103 131 65 9 9 NUM biomedich-103 131 66 172 172 NUM biomedich-103 131 67 7 7 NUM biomedich-103 131 68 . . NOUN biomedich-103 131 69 18 18 NUM biomedich-103 131 70 march march NOUN biomedich-103 131 71 2020 2020 NUM biomedich-103 131 72 19 19 NUM biomedich-103 131 73 11 11 NUM biomedich-103 131 74 227 227 NUM biomedich-103 131 75 8 8 NUM biomedich-103 131 76 . . PUNCT biomedich-103 131 77 19 19 NUM biomedich-103 131 78 march march NOUN biomedich-103 131 79 2020 2020 NUM biomedich-103 131 80 25 25 NUM biomedich-103 131 81 15 15 NUM biomedich-103 131 82 308 308 NUM biomedich-103 131 83 9 9 NUM biomedich-103 131 84 . . NOUN biomedich-103 131 85 20 20 NUM biomedich-103 131 86 march march NOUN biomedich-103 131 87 2020 2020 NUM biomedich-103 131 88 32 32 NUM biomedich-103 131 89 17 17 NUM biomedich-103 131 90 369 369 NUM biomedich-103 131 91 10 10 NUM biomedich-103 131 92 . . PUNCT biomedich-103 132 1 21 21 NUM biomedich-103 132 2 march march NOUN biomedich-103 132 3 2020 2020 NUM biomedich-103 132 4 38 38 NUM biomedich-103 132 5 20 20 NUM biomedich-103 132 6 450 450 NUM biomedich-103 132 7 11 11 NUM biomedich-103 132 8 22 22 NUM biomedich-103 132 9 march march NOUN biomedich-103 132 10 2020 2020 NUM biomedich-103 132 11 48 48 NUM biomedich-103 132 12 29 29 NUM biomedich-103 132 13 514 514 NUM biomedich-103 132 14 12 12 NUM biomedich-103 132 15 23 23 NUM biomedich-103 132 16 march march NOUN biomedich-103 132 17 2020 2020 NUM biomedich-103 132 18 49 49 NUM biomedich-103 132 19 30 30 NUM biomedich-103 132 20 579 579 NUM biomedich-103 132 21 table table NOUN biomedich-103 132 22 3 3 NUM biomedich-103 132 23 is be AUX biomedich-103 132 24 multiplied multiply VERB biomedich-103 132 25 by by ADP biomedich-103 132 26 260,000,000 260,000,000 NUM biomedich-103 132 27 people people NOUN biomedich-103 132 28 ; ; PUNCT biomedich-103 132 29 this this DET biomedich-103 132 30 number number NOUN biomedich-103 132 31 is be AUX biomedich-103 132 32 taken take VERB biomedich-103 132 33 from from ADP biomedich-103 132 34 the the DET biomedich-103 132 35 indonesian indonesian ADJ biomedich-103 132 36 population population NOUN biomedich-103 132 37 . . PUNCT biomedich-103 133 1 lockdown lockdown NOUN biomedich-103 133 2 case case NOUN biomedich-103 133 3 is be AUX biomedich-103 133 4 the the DET biomedich-103 133 5 level level NOUN biomedich-103 133 6 of of ADP biomedich-103 133 7 interaction interaction NOUN biomedich-103 133 8 between between ADP biomedich-103 133 9 susceptible susceptible ADJ biomedich-103 133 10 subpopulation subpopulation NOUN biomedich-103 133 11 become become VERB biomedich-103 133 12 infected infected ADJ biomedich-103 133 13 subpopulation subpopulation NOUN biomedich-103 133 14 , , PUNCT biomedich-103 133 15 the the DET biomedich-103 133 16 degree degree NOUN biomedich-103 133 17 of of ADP biomedich-103 133 18 interaction interaction NOUN biomedich-103 133 19 between between ADP biomedich-103 133 20 infected infect VERB biomedich-103 133 21 subpopulation subpopulation NOUN biomedich-103 133 22 becomes become VERB biomedich-103 133 23 recovery recovery NOUN biomedich-103 133 24 subpopulation subpopulation NOUN biomedich-103 133 25 , , PUNCT biomedich-103 133 26 and and CCONJ biomedich-103 133 27 the the DET biomedich-103 133 28 degree degree NOUN biomedich-103 133 29 of of ADP biomedich-103 133 30 the the DET biomedich-103 133 31 interaction interaction NOUN biomedich-103 133 32 between between ADP biomedich-103 133 33 recovery recovery NOUN biomedich-103 133 34 subpopulation subpopulation NOUN biomedich-103 133 35 being be AUX biomedich-103 133 36 a a DET biomedich-103 133 37 susceptible susceptible ADJ biomedich-103 133 38 subpopulation subpopulation NOUN biomedich-103 133 39 doesn doesn NOUN biomedich-103 133 40 not not PART biomedich-103 133 41 exist exist VERB biomedich-103 133 42 , , PUNCT biomedich-103 133 43 it it PRON biomedich-103 133 44 means mean VERB biomedich-103 133 45 the the DET biomedich-103 133 46 value value NOUN biomedich-103 133 47 of of ADP biomedich-103 133 48 0ο€½ 0ο€½ NUM biomedich-103 133 49 ο€½ ο€½ PROPN biomedich-103 133 50   NOUN biomedich-103 133 51   NOUN biomedich-103 133 52   NUM biomedich-103 133 53 . . PUNCT biomedich-103 134 1 table table NOUN biomedich-103 134 2 3 3 NUM biomedich-103 134 3 . . PUNCT biomedich-103 135 1 the the DET biomedich-103 135 2 parameter parameter NOUN biomedich-103 135 3 value value NOUN biomedich-103 135 4 without without ADP biomedich-103 135 5 covid-19 covid-19 PROPN biomedich-103 135 6 deployment deployment NOUN biomedich-103 135 7 lockdown lockdown NOUN biomedich-103 135 8 in in ADP biomedich-103 135 9 indonesia indonesia PROPN biomedich-103 135 10 . . PUNCT biomedich-103 136 1 no no INTJ biomedich-103 136 2 . . PUNCT biomedich-103 137 1 symbol symbol NOUN biomedich-103 137 2 value value NOUN biomedich-103 137 3 no no INTJ biomedich-103 137 4 . . PUNCT biomedich-103 138 1 symbol symbol NOUN biomedich-103 138 2 value value NOUN biomedich-103 138 3 1 1 NUM biomedich-103 138 4 . . PUNCT biomedich-103 139 1 1a 1a PROPN biomedich-103 139 2 36.3 36.3 NUM biomedich-103 139 3 10ο€­x 10ο€­x NUM biomedich-103 139 4 13 13 NUM biomedich-103 139 5 . . PUNCT biomedich-103 140 1 2e 2e NOUN biomedich-103 140 2 0 0 NUM biomedich-103 140 3 2 2 NUM biomedich-103 140 4 . . PUNCT biomedich-103 140 5 2a 2a NUM biomedich-103 140 6 0 0 NUM biomedich-103 141 1 14 14 NUM biomedich-103 141 2 . . PUNCT biomedich-103 142 1 3e 3e NOUN biomedich-103 142 2 0 0 NUM biomedich-103 142 3 3 3 X biomedich-103 142 4 . . X biomedich-103 142 5 3a 3a NUM biomedich-103 142 6 0 0 NUM biomedich-103 142 7 15 15 NUM biomedich-103 142 8 . . PUNCT biomedich-103 143 1 f f PROPN biomedich-103 143 2 31 31 NUM biomedich-103 143 3 10ο€­x 10ο€­x NUM biomedich-103 143 4 4 4 NUM biomedich-103 143 5 . . PUNCT biomedich-103 143 6 1b 1b NUM biomedich-103 143 7 0 0 NUM biomedich-103 143 8 16 16 NUM biomedich-103 143 9 . . PUNCT biomedich-103 144 1 1k 1k PRON biomedich-103 144 2 31.923 31.923 NUM biomedich-103 144 3 10ο€­x 10ο€­x NUM biomedich-103 144 4 5 5 NUM biomedich-103 144 5 . . PUNCT biomedich-103 144 6 2b 2b NUM biomedich-103 144 7 0 0 NUM biomedich-103 144 8 17 17 NUM biomedich-103 144 9 . . PUNCT biomedich-103 145 1 2k 2k NOUN biomedich-103 145 2 31.923 31.923 NUM biomedich-103 145 3 10ο€­x 10ο€­x NUM biomedich-103 145 4 6 6 NUM biomedich-103 145 5 . . PUNCT biomedich-103 146 1 3b 3b NUM biomedich-103 146 2 0 0 NUM biomedich-103 146 3 18 18 NUM biomedich-103 146 4 . . PUNCT biomedich-103 147 1 3k 3k PROPN biomedich-103 147 2 31.923 31.923 NUM biomedich-103 147 3 10ο€­x 10ο€­x NUM biomedich-103 147 4 7 7 NUM biomedich-103 147 5 . . PUNCT biomedich-103 148 1 c c NOUN biomedich-103 148 2 85.38 85.38 NUM biomedich-103 148 3 10ο€­x 10ο€­x NUM biomedich-103 148 4 19 19 NUM biomedich-103 148 5 . . PUNCT biomedich-103 148 6 1l 1l NUM biomedich-103 148 7 31.923 31.923 NUM biomedich-103 148 8 10ο€­x 10ο€­x NUM biomedich-103 148 9 8 8 NUM biomedich-103 148 10 . . PUNCT biomedich-103 149 1 1d 1d NUM biomedich-103 149 2 32.3 32.3 NUM biomedich-103 149 3 10ο€­x 10ο€­x NUM biomedich-103 149 4 20 20 NUM biomedich-103 149 5 . . PUNCT biomedich-103 150 1 2l 2l NOUN biomedich-103 150 2 31.923 31.923 NUM biomedich-103 150 3 10ο€­x 10ο€­x NUM biomedich-103 150 4 9 9 NUM biomedich-103 150 5 . . PUNCT biomedich-103 151 1 2d 2d NOUN biomedich-103 151 2 0 0 NUM biomedich-103 151 3 21 21 NUM biomedich-103 151 4 . . PUNCT biomedich-103 152 1 3l 3l NUM biomedich-103 152 2 31.923 31.923 NUM biomedich-103 152 3 10ο€­x 10ο€­x NUM biomedich-103 152 4 10 10 NUM biomedich-103 152 5 . . PUNCT biomedich-103 153 1 3d 3d NUM biomedich-103 153 2 0 0 NUM biomedich-103 153 3 22 22 NUM biomedich-103 153 4 . . PUNCT biomedich-103 154 1   X biomedich-103 154 2 33.6 33.6 NUM biomedich-103 154 3 10ο€­x 10ο€­x NUM biomedich-103 154 4 11 11 NUM biomedich-103 154 5 . . PUNCT biomedich-103 154 6 4d 4d NUM biomedich-103 155 1 97.7 97.7 NUM biomedich-103 155 2 10ο€­x 10ο€­x NUM biomedich-103 155 3 23 23 NUM biomedich-103 155 4 . . PUNCT biomedich-103 156 1   NOUN biomedich-103 156 2 33 33 NUM biomedich-103 156 3 10ο€­x 10ο€­x NUM biomedich-103 156 4 12 12 NUM biomedich-103 156 5 . . PUNCT biomedich-103 157 1 1e 1e NOUN biomedich-103 157 2 0 0 NUM biomedich-103 157 3 24 24 NUM biomedich-103 157 4 . . PUNCT biomedich-103 158 1   NUM biomedich-103 158 2 33 33 NUM biomedich-103 158 3 10ο€­x 10ο€­x NUM biomedich-103 158 4 figure figure NOUN biomedich-103 158 5 3 3 NUM biomedich-103 158 6 . . X biomedich-103 158 7 diagram diagram NOUN biomedich-103 158 8 of of ADP biomedich-103 158 9 trajectory trajectory NOUN biomedich-103 158 10 subpopulation subpopulation NOUN biomedich-103 158 11 infected infect VERB biomedich-103 158 12 between between ADP biomedich-103 158 13 under under ADP biomedich-103 158 14 lockdown lockdown NOUN biomedich-103 158 15 and and CCONJ biomedich-103 158 16 without without ADP biomedich-103 158 17 lockdown lockdown NOUN biomedich-103 158 18 . . PUNCT biomedich-103 159 1 figure figure NOUN biomedich-103 159 2 3 3 NUM biomedich-103 159 3 shows show VERB biomedich-103 159 4 the the DET biomedich-103 159 5 case case NOUN biomedich-103 159 6 trajectory trajectory NOUN biomedich-103 159 7 diagram diagram NOUN biomedich-103 159 8 under under ADP biomedich-103 159 9 and and CCONJ biomedich-103 159 10 without without ADP biomedich-103 159 11 lockdown lockdown NOUN biomedich-103 159 12 in in ADP biomedich-103 159 13 infected infected ADJ biomedich-103 159 14 subpopulation subpopulation NOUN biomedich-103 159 15 . . PUNCT biomedich-103 160 1 in in ADP biomedich-103 160 2 the the DET biomedich-103 160 3 case case NOUN biomedich-103 160 4 of of ADP biomedich-103 160 5 not not PART biomedich-103 160 6 lockdown lockdown VERB biomedich-103 160 7 on on ADP biomedich-103 160 8 day-0 day-0 PUNCT biomedich-103 160 9 showed show VERB biomedich-103 160 10 579 579 NUM biomedich-103 160 11 people people NOUN biomedich-103 160 12 infected infect VERB biomedich-103 160 13 . . PUNCT biomedich-103 161 1 on on ADP biomedich-103 161 2 30th 30th NUM biomedich-103 161 3 for for SCONJ biomedich-103 161 4 the the DET biomedich-103 161 5 case case NOUN biomedich-103 161 6 to to PART biomedich-103 161 7 be be AUX biomedich-103 161 8 677,600 677,600 NUM biomedich-103 161 9 people people NOUN biomedich-103 161 10 infected infect VERB biomedich-103 161 11 . . PUNCT biomedich-103 162 1 on on ADP biomedich-103 162 2 60th 60th ADV biomedich-103 162 3 showed show VERB biomedich-103 162 4 738,900 738,900 NUM biomedich-103 162 5 people people NOUN biomedich-103 162 6 infected infect VERB biomedich-103 162 7 . . PUNCT biomedich-103 163 1 on on ADP biomedich-103 163 2 day-0 day-0 NOUN biomedich-103 163 3 of of ADP biomedich-103 163 4 lockdown lockdown NOUN biomedich-103 163 5 case case NOUN biomedich-103 163 6 showed show VERB biomedich-103 163 7 579 579 NUM biomedich-103 163 8 people people NOUN biomedich-103 163 9 infected infect VERB biomedich-103 163 10 and and CCONJ biomedich-103 163 11 the the DET biomedich-103 163 12 30th 30th ADJ biomedich-103 163 13 day day NOUN biomedich-103 163 14 showed show VERB biomedich-103 163 15 579 579 NUM biomedich-103 163 16 people people NOUN biomedich-103 163 17 infected infect VERB biomedich-103 163 18 . . PUNCT biomedich-103 164 1 because because SCONJ biomedich-103 164 2 the the DET biomedich-103 164 3 incubation incubation NOUN biomedich-103 164 4 period period NOUN biomedich-103 164 5 of of ADP biomedich-103 164 6 14 14 NUM biomedich-103 164 7 days day NOUN biomedich-103 164 8 , , PUNCT biomedich-103 164 9 then then ADV biomedich-103 164 10 in in ADP biomedich-103 164 11 the the DET biomedich-103 164 12 case case NOUN biomedich-103 164 13 of of ADP biomedich-103 164 14 lockdown lockdown NOUN biomedich-103 164 15 on on ADP biomedich-103 164 16 the the DET biomedich-103 164 17 15th 15th ADJ biomedich-103 164 18 day day NOUN biomedich-103 164 19 no no DET biomedich-103 164 20 one one NOUN biomedich-103 164 21 has have AUX biomedich-103 164 22 been be AUX biomedich-103 164 23 infected infect VERB biomedich-103 164 24 . . PUNCT biomedich-103 165 1 conclusion conclusion NOUN biomedich-103 165 2 covid-19 covid-19 PROPN biomedich-103 165 3 is be AUX biomedich-103 165 4 a a DET biomedich-103 165 5 vicious vicious ADJ biomedich-103 165 6 virus virus NOUN biomedich-103 165 7 , , PUNCT biomedich-103 165 8 because because SCONJ biomedich-103 165 9 its its PRON biomedich-103 165 10 spread spread NOUN biomedich-103 165 11 from from ADP biomedich-103 165 12 modeling modeling NOUN biomedich-103 165 13 result result NOUN biomedich-103 165 14 is be AUX biomedich-103 165 15 very very ADV biomedich-103 165 16 fast fast ADJ biomedich-103 165 17 . . PUNCT biomedich-103 166 1 from from ADP biomedich-103 166 2 the the DET biomedich-103 166 3 indonesia indonesia PROPN biomedich-103 166 4 government government NOUN biomedich-103 166 5 ’s ’s PART biomedich-103 166 6 data datum NOUN biomedich-103 166 7 on on ADP biomedich-103 166 8 march march PROPN biomedich-103 166 9 12–23 12–23 NUM biomedich-103 166 10 , , PUNCT biomedich-103 166 11 2020 2020 NUM biomedich-103 166 12 up up ADP biomedich-103 166 13 to to ADP biomedich-103 166 14 579 579 NUM biomedich-103 166 15 sugiyanto sugiyanto NOUN biomedich-103 166 16 & & CCONJ biomedich-103 166 17 abrori abrori NOUN biomedich-103 166 18 – – PUNCT biomedich-103 166 19 a a DET biomedich-103 166 20 mathematical mathematical ADJ biomedich-103 166 21 model model NOUN biomedich-103 166 22 of of ADP biomedich-103 166 23 the the DET biomedich-103 166 24 covid-19 covid-19 PROPN biomedich-103 166 25 cases case NOUN biomedich-103 166 26 in in ADP biomedich-103 166 27 … … PUNCT biomedich-103 166 28 19 19 NUM biomedich-103 166 29 people people NOUN biomedich-103 166 30 have have AUX biomedich-103 166 31 been be AUX biomedich-103 166 32 infected infect VERB biomedich-103 166 33 , , PUNCT biomedich-103 166 34 while while SCONJ biomedich-103 166 35 from from ADP biomedich-103 166 36 the the DET biomedich-103 166 37 model model NOUN biomedich-103 166 38 when when SCONJ biomedich-103 166 39 not not PART biomedich-103 166 40 in in ADP biomedich-103 166 41 lockdown lockdown NOUN biomedich-103 166 42 of of ADP biomedich-103 166 43 579 579 NUM biomedich-103 166 44 people people NOUN biomedich-103 166 45 become become VERB biomedich-103 166 46 738,900 738,900 NUM biomedich-103 166 47 people people NOUN biomedich-103 166 48 have have AUX biomedich-103 166 49 been be AUX biomedich-103 166 50 infected infect VERB biomedich-103 166 51 . . PUNCT biomedich-103 167 1 this this PRON biomedich-103 167 2 is be AUX biomedich-103 167 3 1,276 1,276 NUM biomedich-103 167 4 times time NOUN biomedich-103 167 5 in in ADP biomedich-103 167 6 two two NUM biomedich-103 167 7 months month NOUN biomedich-103 167 8 . . PUNCT biomedich-103 168 1 under under ADP biomedich-103 168 2 lockdown lockdown NOUN biomedich-103 168 3 , , PUNCT biomedich-103 168 4 it it PRON biomedich-103 168 5 can can AUX biomedich-103 168 6 minimize minimize VERB biomedich-103 168 7 casualties casualty NOUN biomedich-103 168 8 because because SCONJ biomedich-103 168 9 covid-19 covid-19 PROPN biomedich-103 168 10 does do AUX biomedich-103 168 11 not not PART biomedich-103 168 12 spread spread VERB biomedich-103 168 13 . . PUNCT biomedich-103 169 1 lockdown lockdown NOUN biomedich-103 169 2 is be AUX biomedich-103 169 3 a a DET biomedich-103 169 4 solution solution NOUN biomedich-103 169 5 to to PART biomedich-103 169 6 reduce reduce VERB biomedich-103 169 7 deaths death NOUN biomedich-103 169 8 due due ADP biomedich-103 169 9 to to ADP biomedich-103 169 10 covid-19 covid-19 PROPN biomedich-103 169 11 . . PUNCT biomedich-103 170 1 references reference NOUN biomedich-103 170 2 bnpb bnpb ADJ biomedich-103 170 3 , , PUNCT biomedich-103 170 4 2020 2020 NUM biomedich-103 170 5 in in ADP biomedich-103 170 6 https://www.covid19.go.id/ketahui-caramengurangi-risiko/ https://www.covid19.go.id/ketahui-caramengurangi-risiko/ NOUN biomedich-103 170 7 downloaded download VERB biomedich-103 170 8 on on ADP biomedich-103 170 9 march march PROPN biomedich-103 170 10 20 20 NUM biomedich-103 170 11 , , PUNCT biomedich-103 170 12 2020 2020 NUM biomedich-103 170 13 . . PUNCT biomedich-103 171 1 chen chen PROPN biomedich-103 171 2 , , PUNCT biomedich-103 171 3 h. h. PROPN biomedich-103 171 4 , , PUNCT biomedich-103 171 5 guo guo PROPN biomedich-103 171 6 , , PUNCT biomedich-103 171 7 j. j. PROPN biomedich-103 171 8 , , PUNCT biomedich-103 171 9 wang wang PROPN biomedich-103 171 10 , , PUNCT biomedich-103 171 11 c. c. PROPN biomedich-103 171 12 , , PUNCT biomedich-103 171 13 luo luo PROPN biomedich-103 171 14 , , PUNCT biomedich-103 171 15 f. f. PROPN biomedich-103 171 16 , , PUNCT biomedich-103 171 17 yu yu PROPN biomedich-103 171 18 , , PUNCT biomedich-103 171 19 x. x. PROPN biomedich-103 171 20 , , PUNCT biomedich-103 171 21 zhang zhang PROPN biomedich-103 171 22 , , PUNCT biomedich-103 171 23 w. w. PROPN biomedich-103 171 24 , , PUNCT biomedich-103 171 25 ... ... PUNCT biomedich-103 171 26 & & CCONJ biomedich-103 171 27 liao liao PROPN biomedich-103 171 28 , , PUNCT biomedich-103 171 29 j. j. PROPN biomedich-103 171 30 ( ( PUNCT biomedich-103 171 31 2020 2020 NUM biomedich-103 171 32 ) ) PUNCT biomedich-103 171 33 . . PUNCT biomedich-103 172 1 clinical clinical ADJ biomedich-103 172 2 characteristics characteristic NOUN biomedich-103 172 3 and and CCONJ biomedich-103 172 4 intrauterine intrauterine ADJ biomedich-103 172 5 vertical vertical ADJ biomedich-103 172 6 transmission transmission NOUN biomedich-103 172 7 potential potential NOUN biomedich-103 172 8 of of ADP biomedich-103 172 9 covid-19 covid-19 PROPN biomedich-103 172 10 infection infection NOUN biomedich-103 172 11 in in ADP biomedich-103 172 12 nine nine NUM biomedich-103 172 13 pregnant pregnant ADJ biomedich-103 172 14 women woman NOUN biomedich-103 172 15 : : PUNCT biomedich-103 172 16 a a DET biomedich-103 172 17 retrospective retrospective ADJ biomedich-103 172 18 review review NOUN biomedich-103 172 19 of of ADP biomedich-103 172 20 medical medical ADJ biomedich-103 172 21 records record NOUN biomedich-103 172 22 . . PUNCT biomedich-103 173 1 the the DET biomedich-103 173 2 lancet lancet PROPN biomedich-103 173 3 . . PUNCT biomedich-103 174 1 ku ku PROPN biomedich-103 174 2 , , PUNCT biomedich-103 174 3 c. c. PROPN biomedich-103 174 4 c. c. PROPN biomedich-103 174 5 , , PUNCT biomedich-103 174 6 ng ng PROPN biomedich-103 174 7 , , PUNCT biomedich-103 174 8 t. t. PROPN biomedich-103 174 9 c. c. PROPN biomedich-103 174 10 , , PUNCT biomedich-103 174 11 & & CCONJ biomedich-103 174 12 lin lin PROPN biomedich-103 174 13 , , PUNCT biomedich-103 174 14 h. h. PROPN biomedich-103 174 15 h. h. PROPN biomedich-103 174 16 ( ( PUNCT biomedich-103 174 17 2020 2020 NUM biomedich-103 174 18 ) ) PUNCT biomedich-103 174 19 . . PUNCT biomedich-103 175 1 epidemiological epidemiological ADJ biomedich-103 175 2 benchmarks benchmark NOUN biomedich-103 175 3 of of ADP biomedich-103 175 4 the the DET biomedich-103 175 5 covid-19 covid-19 PROPN biomedich-103 175 6 outbreak outbreak NOUN biomedich-103 175 7 control control NOUN biomedich-103 175 8 in in ADP biomedich-103 175 9 china china PROPN biomedich-103 175 10 after after ADP biomedich-103 175 11 wuhan wuhan PROPN biomedich-103 175 12 ’s ’s PART biomedich-103 175 13 lockdown lockdown PROPN biomedich-103 175 14 : : PUNCT biomedich-103 175 15 a a DET biomedich-103 175 16 modelling model VERB biomedich-103 175 17 study study NOUN biomedich-103 175 18 with with ADP biomedich-103 175 19 an an DET biomedich-103 175 20 empirical empirical ADJ biomedich-103 175 21 approach approach NOUN biomedich-103 175 22 . . PUNCT biomedich-103 176 1 available available ADJ biomedich-103 176 2 at at ADP biomedich-103 176 3 ssrn ssrn NOUN biomedich-103 176 4 3544127 3544127 NUM biomedich-103 176 5 . . PUNCT biomedich-103 177 1 liu liu PROPN biomedich-103 177 2 , , PUNCT biomedich-103 177 3 y. y. PROPN biomedich-103 177 4 , , PUNCT biomedich-103 177 5 gayle gayle PROPN biomedich-103 177 6 , , PUNCT biomedich-103 177 7 a. a. NOUN biomedich-103 177 8 a. a. PROPN biomedich-103 177 9 , , PUNCT biomedich-103 177 10 wilder wilder NOUN biomedich-103 177 11 - - PUNCT biomedich-103 177 12 smith smith NOUN biomedich-103 177 13 , , PUNCT biomedich-103 177 14 a. a. PROPN biomedich-103 177 15 , , PUNCT biomedich-103 177 16 & & CCONJ biomedich-103 177 17 rocklΓΆv rocklΓΆv PROPN biomedich-103 177 18 , , PUNCT biomedich-103 177 19 j. j. PROPN biomedich-103 177 20 ( ( PUNCT biomedich-103 177 21 2020 2020 NUM biomedich-103 177 22 ) ) PUNCT biomedich-103 177 23 . . PUNCT biomedich-103 178 1 the the DET biomedich-103 178 2 reproductive reproductive ADJ biomedich-103 178 3 number number NOUN biomedich-103 178 4 of of ADP biomedich-103 178 5 covid-19 covid-19 PROPN biomedich-103 178 6 is be AUX biomedich-103 178 7 higher high ADJ biomedich-103 178 8 compared compare VERB biomedich-103 178 9 to to ADP biomedich-103 178 10 sars sars PROPN biomedich-103 178 11 coronavirus coronavirus PROPN biomedich-103 178 12 . . PUNCT biomedich-103 179 1 journal journal PROPN biomedich-103 179 2 of of ADP biomedich-103 179 3 travel travel NOUN biomedich-103 179 4 medicine medicine NOUN biomedich-103 179 5 . . PUNCT biomedich-103 180 1 pan pan PROPN biomedich-103 180 2 , , PUNCT biomedich-103 180 3 f. f. PROPN biomedich-103 180 4 , , PUNCT biomedich-103 180 5 ye ye PROPN biomedich-103 180 6 , , PUNCT biomedich-103 180 7 t. t. PROPN biomedich-103 180 8 , , PUNCT biomedich-103 180 9 sun sun NOUN biomedich-103 180 10 , , PUNCT biomedich-103 180 11 p. p. PROPN biomedich-103 180 12 , , PUNCT biomedich-103 180 13 gui gui PROPN biomedich-103 180 14 , , PUNCT biomedich-103 180 15 s. s. PROPN biomedich-103 180 16 , , PUNCT biomedich-103 180 17 liang liang PROPN biomedich-103 180 18 , , PUNCT biomedich-103 180 19 b. b. PROPN biomedich-103 180 20 , , PUNCT biomedich-103 180 21 li li PROPN biomedich-103 180 22 , , PUNCT biomedich-103 180 23 l. l. PROPN biomedich-103 180 24 , , PUNCT biomedich-103 180 25 ... ... PUNCT biomedich-103 180 26 & & CCONJ biomedich-103 180 27 zheng zheng PROPN biomedich-103 180 28 , , PUNCT biomedich-103 180 29 c. c. PROPN biomedich-103 180 30 ( ( PUNCT biomedich-103 180 31 2020 2020 NUM biomedich-103 180 32 ) ) PUNCT biomedich-103 180 33 . . PUNCT biomedich-103 181 1 time time NOUN biomedich-103 181 2 course course NOUN biomedich-103 181 3 of of ADP biomedich-103 181 4 lung lung NOUN biomedich-103 181 5 changes change NOUN biomedich-103 181 6 on on ADP biomedich-103 181 7 chest chest NOUN biomedich-103 181 8 ct ct NUM biomedich-103 181 9 during during ADP biomedich-103 181 10 recovery recovery NOUN biomedich-103 181 11 from from ADP biomedich-103 181 12 2019 2019 NUM biomedich-103 181 13 novel novel ADJ biomedich-103 181 14 coronavirus coronavirus NOUN biomedich-103 181 15 ( ( PUNCT biomedich-103 181 16 covid-19 covid-19 PROPN biomedich-103 181 17 ) ) PUNCT biomedich-103 181 18 pneumonia pneumonia NOUN biomedich-103 181 19 . . PUNCT biomedich-103 182 1 radiology radiology NOUN biomedich-103 182 2 , , PUNCT biomedich-103 182 3 200370 200370 NUM biomedich-103 182 4 . . PUNCT biomedich-103 183 1 zonautara zonautara PROPN biomedich-103 183 2 , , PUNCT biomedich-103 183 3 2020 2020 NUM biomedich-103 183 4 in in ADP biomedich-103 183 5 https://zonautara.com/2020/03/22/tabelsebaran-virus-corona-per-provinsi-22-maret-2020/ https://zonautara.com/2020/03/22/tabelsebaran-virus-corona-per-provinsi-22-maret-2020/ NOUN biomedich-103 183 6 downloaded download VERB biomedich-103 183 7 on on ADP biomedich-103 183 8 march march PROPN biomedich-103 183 9 20 20 NUM biomedich-103 183 10 , , PUNCT biomedich-103 183 11 2020 2020 NUM biomedich-103 183 12 . . PUNCT biomedich-103 184 1 this this DET biomedich-103 184 2 page page NOUN biomedich-103 184 3 intentionally intentionally ADV biomedich-103 184 4 left leave VERB biomedich-103 184 5 blank blank ADV