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Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model
Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the di...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072599/ https://www.ncbi.nlm.nih.gov/pubmed/33936324 http://dx.doi.org/10.1016/j.procs.2021.01.053 |
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author | Jason Roslynlia Gunawan, Alexander A S |
author_facet | Jason Roslynlia Gunawan, Alexander A S |
author_sort | Jason |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases. |
format | Online Article Text |
id | pubmed-8072599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80725992021-04-26 Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model Jason Roslynlia Gunawan, Alexander A S Procedia Comput Sci Article Coronavirus disease 2019 (COVID-19) is a new emerging disease and a pandemic causing a high number of deaths. It is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and transmitted via droplets. Several countries including Indonesia had applied social distancing to reduce the disease transmission. In this study, we were using two groups, with social distancing and without social distancing represented by quarantine parameter Q. We predict the peak number in both groups using Susceptible-Infected-Recovered-Deceased (SIRD) model. The aims of this study are to compare the peak number of cases in groups with and without social distancing cases in Jakarta. This study result in a lower peak number and longer days of disease period in group with strict social distancing than in groups without social distancing, the current case number represent quarantine parameter Q 0.4 of SIRD Model. We suggest applying strict social distancing in Jakarta considering the duration, health standard, and other factors affecting COVID-19 cases. The Author(s). Published by Elsevier B.V. 2021 2021-02-19 /pmc/articles/PMC8072599/ /pubmed/33936324 http://dx.doi.org/10.1016/j.procs.2021.01.053 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Jason Roslynlia Gunawan, Alexander A S Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title | Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title_full | Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title_fullStr | Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title_full_unstemmed | Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title_short | Forecasting Social Distancing impact on COVID-19 in Jakarta using SIRD Model |
title_sort | forecasting social distancing impact on covid-19 in jakarta using sird model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072599/ https://www.ncbi.nlm.nih.gov/pubmed/33936324 http://dx.doi.org/10.1016/j.procs.2021.01.053 |
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