Nexus between population density and COVID-19 pandemic in the south Indian states: A geo-statistical approach

Abstract

The unprecedented growth of the novel coronavirus (SARS-CoV-2) as a severe acute respiratory syndrome escalated to the 2019 coronavirus disease (COVID-19) pandemic. It has created an unanticipated global public health crisis. The virus is spreading rapidly in India which poses serious threat to 135 crore population. Population density poses some unforeseen challenges to control the COVID-19 contagion. In times of crisis, data is crucial to understand the spatial relationship between density and the infection. The article study the district wise transmissions of the novel coronavirus in five south Indian states until 6th June 2020 and its relationship with the respective population density. The five states are purposefully selected for better healthcare infrastructure vis-à-vis other states in India. We observed that corona virus spread depends on the spatial distribution of population density in three states especially in Tamil Nadu, Karnataka and Telangana. The results indicate that the long-term impacts of the COVID-19 crisis are likely to differ with demographic density. Policy initiatives aimed at reducing the health consequences of the COVID-19 pandemic should understand how vulnerabilities cluster together across districts.

4P Model for Dynamic Prediction of Covid-19 with statistical and machine learning approach: Social Dynamics, Government Roles and Pathogen Behavior on Bangladesh Perspective

“…Hence, his approach has not been taken into consideration in this study. Although it was anticipated by several researchers initially that the density of the population had a positive correlation with the spread of COVID-19 [39,40,41,42,43]], some recent studies show that the assumption might not be completely evident [44,32]. Health expenditure by the government was identified as a significant determinant of deaths caused from COVID-19 [45,46], whereas topographical locations along with their climatic circumstances were detected as prominent factors for the diffusion of the virus [47].…”

Spatiality of COVID-19 Infections in Ahmedabad: An Early Period Analysis

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