Mathematical models for assessing vaccination scenarios in several provinces in Indonesia

To mitigate casualties from the COVID-19 outbreak, this study aims at assessing the optimal vaccination scenarios, considering several existing healthcare conditions and assumptions, by developing SIQRD (Susceptible-Infected-Quarantine-Recovery-Death) models for Jakarta, West Java, and Banten, in In...

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Autores principales:	N. Nuraini, K.K. Sukandar, P. Hadisoemarto, H. Susanto, A.I. Hasan, N. Sumarti
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	COVID-19 SIQRD model Age groups Healthcare capacity Vaccination strategy Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/e74b333711c243569548d74d61c69561
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id	oai:doaj.org-article:e74b333711c243569548d74d61c69561
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spelling	oai:doaj.org-article:e74b333711c243569548d74d61c695612021-11-18T04:50:54ZMathematical models for assessing vaccination scenarios in several provinces in Indonesia2468-042710.1016/j.idm.2021.09.002https://doaj.org/article/e74b333711c243569548d74d61c695612021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2468042721000634https://doaj.org/toc/2468-0427To mitigate casualties from the COVID-19 outbreak, this study aims at assessing the optimal vaccination scenarios, considering several existing healthcare conditions and assumptions, by developing SIQRD (Susceptible-Infected-Quarantine-Recovery-Death) models for Jakarta, West Java, and Banten, in Indonesia. The models include an age-structured dynamic transmission model that naturally allows for different treatments among different age groups of the population. The simulation results show that the timing and period of the vaccination should be well planned and prioritizing particular age groups will give a significant impact on the total number of casualties.N. NurainiK.K. SukandarP. HadisoemartoH. SusantoA.I. HasanN. SumartiKeAi Communications Co., Ltd.articleCOVID-19SIQRD modelAge groupsHealthcare capacityVaccination strategyInfectious and parasitic diseasesRC109-216ENInfectious Disease Modelling, Vol 6, Iss , Pp 1236-1258 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 SIQRD model Age groups Healthcare capacity Vaccination strategy Infectious and parasitic diseases RC109-216
spellingShingle	COVID-19 SIQRD model Age groups Healthcare capacity Vaccination strategy Infectious and parasitic diseases RC109-216 N. Nuraini K.K. Sukandar P. Hadisoemarto H. Susanto A.I. Hasan N. Sumarti Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
description	To mitigate casualties from the COVID-19 outbreak, this study aims at assessing the optimal vaccination scenarios, considering several existing healthcare conditions and assumptions, by developing SIQRD (Susceptible-Infected-Quarantine-Recovery-Death) models for Jakarta, West Java, and Banten, in Indonesia. The models include an age-structured dynamic transmission model that naturally allows for different treatments among different age groups of the population. The simulation results show that the timing and period of the vaccination should be well planned and prioritizing particular age groups will give a significant impact on the total number of casualties.
format	article
author	N. Nuraini K.K. Sukandar P. Hadisoemarto H. Susanto A.I. Hasan N. Sumarti
author_facet	N. Nuraini K.K. Sukandar P. Hadisoemarto H. Susanto A.I. Hasan N. Sumarti
author_sort	N. Nuraini
title	Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
title_short	Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
title_full	Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
title_fullStr	Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
title_full_unstemmed	Mathematical models for assessing vaccination scenarios in several provinces in Indonesia
title_sort	mathematical models for assessing vaccination scenarios in several provinces in indonesia
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/e74b333711c243569548d74d61c69561
work_keys_str_mv	AT nnuraini mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia AT kksukandar mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia AT phadisoemarto mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia AT hsusanto mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia AT aihasan mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia AT nsumarti mathematicalmodelsforassessingvaccinationscenariosinseveralprovincesinindonesia
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Mathematical models for assessing vaccination scenarios in several provinces in Indonesia

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