Is Population Density a Risk Factor for Communicable Diseases Like COVID-19? A Case of Bangladesh

Bangladesh is one of the most densely populated countries in the world struggling to prevent COVID-19 (coronavirus disease 2019). This study employed correlation, cluster analysis, and multiple linear regression analyses using district-wise COVID-19 infection and socioeconomic data. It is observed t...

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Detalles Bibliográficos
Autor principal: Alam, Md. Zakiul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Short Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941139/
https://www.ncbi.nlm.nih.gov/pubmed/33682469
http://dx.doi.org/10.1177/1010539521998858
Descripción
Sumario:Bangladesh is one of the most densely populated countries in the world struggling to prevent COVID-19 (coronavirus disease 2019). This study employed correlation, cluster analysis, and multiple linear regression analyses using district-wise COVID-19 infection and socioeconomic data. It is observed that there is a strong positive correlation (r = 0.876, P < .001) between population density and COVID-19, explaining a 60% variation in Bangladesh. The relationship between urbanization and COVID-19 is also positively strong (r = 0.802, P < .001). Urban settlements have a higher risk of spreading diseases due to the enormous population density. For future planning to prevent COVID-19 and other related infectious diseases, population density should be considered a risk factor.

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