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Covid-19 risk data during lockdown-like policy in Indonesia

Covid-19 pandemic has spread fast almost all countries in the world including Indonesia. In order to slow such pandemic confirmed cases, Indonesian local and central governments apply a lockdown-like policy. We call this Large-Scale Social Restriction (Pembatasan Sosial Berskala Besar, known as PSBB...

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Autores principales: Syuhada, Khreshna, Wibisono, Aqilah, Hakim, Arief, Addini, Fida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843104/
https://www.ncbi.nlm.nih.gov/pubmed/33532521
http://dx.doi.org/10.1016/j.dib.2021.106801
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author Syuhada, Khreshna
Wibisono, Aqilah
Hakim, Arief
Addini, Fida
author_facet Syuhada, Khreshna
Wibisono, Aqilah
Hakim, Arief
Addini, Fida
author_sort Syuhada, Khreshna
collection PubMed
description Covid-19 pandemic has spread fast almost all countries in the world including Indonesia. In order to slow such pandemic confirmed cases, Indonesian local and central governments apply a lockdown-like policy. We call this Large-Scale Social Restriction (Pembatasan Sosial Berskala Besar, known as PSBB) and PSBB-variant that is Expanded and Tightened Social Restriction or Pembatasan Sosial yang Diperluas dan Diperketat (PSDD). In this paper, we present number of cases and case fatality rate before, during and after such lockdown-like policy. This article contains Covid-19 risk data of several cities and provinces in Indonesia. We have used central and local government Covid-19 tracking sites to determine the daily risks for several cities and provinces in Indonesia. All data were extracted on August 22, 2020. We developed these data and calculated daily rate of confirmed and active cases, case fatality rate and rate of case fatality rate before, during and after lockdown-like policy. Furthermore, such risk modeling is used to forecast of what so-called Value-at-Risk (VaR).
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spelling pubmed-78431042021-01-29 Covid-19 risk data during lockdown-like policy in Indonesia Syuhada, Khreshna Wibisono, Aqilah Hakim, Arief Addini, Fida Data Brief Data Article Covid-19 pandemic has spread fast almost all countries in the world including Indonesia. In order to slow such pandemic confirmed cases, Indonesian local and central governments apply a lockdown-like policy. We call this Large-Scale Social Restriction (Pembatasan Sosial Berskala Besar, known as PSBB) and PSBB-variant that is Expanded and Tightened Social Restriction or Pembatasan Sosial yang Diperluas dan Diperketat (PSDD). In this paper, we present number of cases and case fatality rate before, during and after such lockdown-like policy. This article contains Covid-19 risk data of several cities and provinces in Indonesia. We have used central and local government Covid-19 tracking sites to determine the daily risks for several cities and provinces in Indonesia. All data were extracted on August 22, 2020. We developed these data and calculated daily rate of confirmed and active cases, case fatality rate and rate of case fatality rate before, during and after lockdown-like policy. Furthermore, such risk modeling is used to forecast of what so-called Value-at-Risk (VaR). Elsevier 2021-01-28 /pmc/articles/PMC7843104/ /pubmed/33532521 http://dx.doi.org/10.1016/j.dib.2021.106801 Text en © 2021 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Syuhada, Khreshna
Wibisono, Aqilah
Hakim, Arief
Addini, Fida
Covid-19 risk data during lockdown-like policy in Indonesia
title Covid-19 risk data during lockdown-like policy in Indonesia
title_full Covid-19 risk data during lockdown-like policy in Indonesia
title_fullStr Covid-19 risk data during lockdown-like policy in Indonesia
title_full_unstemmed Covid-19 risk data during lockdown-like policy in Indonesia
title_short Covid-19 risk data during lockdown-like policy in Indonesia
title_sort covid-19 risk data during lockdown-like policy in indonesia
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843104/
https://www.ncbi.nlm.nih.gov/pubmed/33532521
http://dx.doi.org/10.1016/j.dib.2021.106801
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