Is Population Density a Risk Factor for Communicable Diseases Like COVID-19? A Case of Bangladesh
Author(s) -
Md. Zakiul Alam
Publication year - 2021
Publication title -
asia pacific journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 37
eISSN - 1941-2479
pISSN - 1010-5395
DOI - 10.1177/1010539521998858
Subject(s) - covid-19 , population , population density , urbanization , human settlement , environmental health , socioeconomic status , geography , demography , risk factor , cluster (spacecraft) , medicine , infectious disease (medical specialty) , disease , economic growth , computer science , programming language , archaeology , sociology , economics
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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