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The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density
This paper attempts to ascertain the impacts of population density on the spread and severity of COVID-19 in Malaysia. Besides describing the spatio-temporal contagion risk of the virus, ultimately, it seeks to test the hypothesis that higher population density results in exacerbated COVID-19 virule...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296337/ https://www.ncbi.nlm.nih.gov/pubmed/34207205 http://dx.doi.org/10.3390/ijerph18126566 |
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author | Aw, Siew Bee Teh, Bor Tsong Ling, Gabriel Hoh Teck Leng, Pau Chung Chan, Weng Howe Ahmad, Mohd Hamdan |
author_facet | Aw, Siew Bee Teh, Bor Tsong Ling, Gabriel Hoh Teck Leng, Pau Chung Chan, Weng Howe Ahmad, Mohd Hamdan |
author_sort | Aw, Siew Bee |
collection | PubMed |
description | This paper attempts to ascertain the impacts of population density on the spread and severity of COVID-19 in Malaysia. Besides describing the spatio-temporal contagion risk of the virus, ultimately, it seeks to test the hypothesis that higher population density results in exacerbated COVID-19 virulence in the community. The population density of 143 districts in Malaysia, as per data from Malaysia’s 2010 population census, was plotted against cumulative COVID-19 cases and infection rates of COVID-19 cases, which were obtained from Malaysia’s Ministry of Health official website. The data of these three variables were collected between 19 January 2020 and 31 December 2020. Based on the observations, districts that have high population densities and are highly inter-connected with neighbouring districts, whether geographically, socio-economically, or infrastructurally, tend to experience spikes in COVID-19 cases within weeks of each other. Using a parametric approach of the Pearson correlation, population density was found to have a moderately strong relationship to cumulative COVID-19 cases (p-value of 0.000 and R(2) of 0.415) and a weak relationship to COVID-19 infection rates (p-value of 0.005 and R(2) of 0.047). Consequently, we provide several non-pharmaceutical lessons, including urban planning strategies, as passive containment measures that may better support disease interventions against future contagious diseases. |
format | Online Article Text |
id | pubmed-8296337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82963372021-07-23 The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density Aw, Siew Bee Teh, Bor Tsong Ling, Gabriel Hoh Teck Leng, Pau Chung Chan, Weng Howe Ahmad, Mohd Hamdan Int J Environ Res Public Health Case Report This paper attempts to ascertain the impacts of population density on the spread and severity of COVID-19 in Malaysia. Besides describing the spatio-temporal contagion risk of the virus, ultimately, it seeks to test the hypothesis that higher population density results in exacerbated COVID-19 virulence in the community. The population density of 143 districts in Malaysia, as per data from Malaysia’s 2010 population census, was plotted against cumulative COVID-19 cases and infection rates of COVID-19 cases, which were obtained from Malaysia’s Ministry of Health official website. The data of these three variables were collected between 19 January 2020 and 31 December 2020. Based on the observations, districts that have high population densities and are highly inter-connected with neighbouring districts, whether geographically, socio-economically, or infrastructurally, tend to experience spikes in COVID-19 cases within weeks of each other. Using a parametric approach of the Pearson correlation, population density was found to have a moderately strong relationship to cumulative COVID-19 cases (p-value of 0.000 and R(2) of 0.415) and a weak relationship to COVID-19 infection rates (p-value of 0.005 and R(2) of 0.047). Consequently, we provide several non-pharmaceutical lessons, including urban planning strategies, as passive containment measures that may better support disease interventions against future contagious diseases. MDPI 2021-06-18 /pmc/articles/PMC8296337/ /pubmed/34207205 http://dx.doi.org/10.3390/ijerph18126566 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Case Report Aw, Siew Bee Teh, Bor Tsong Ling, Gabriel Hoh Teck Leng, Pau Chung Chan, Weng Howe Ahmad, Mohd Hamdan The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title | The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title_full | The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title_fullStr | The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title_full_unstemmed | The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title_short | The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density |
title_sort | covid-19 pandemic situation in malaysia: lessons learned from the perspective of population density |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8296337/ https://www.ncbi.nlm.nih.gov/pubmed/34207205 http://dx.doi.org/10.3390/ijerph18126566 |
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