The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density

• Main Authors: Siew Bee Aw, Bor Tsong Teh, Gabriel Hoh Teck Ling, Pau Chung Leng, Weng Howe Chan, Mohd Hamdan Ahmad
• Format: Article
• Language: English
• Published: MDPI AG 2021-06-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: population density; coronavirus; COVID-19; Pearson correlations; spatio-temporal; non-pharmaceutical measures
• Online Access: https://www.mdpi.com/1660-4601/18/12/6566

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 (<i>p</i>-value of 0.000 and R² of 0.415) and a weak relationship to COVID-19 infection rates (<i>p</i>-value of 0.005 and R² 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.