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Abstract Identifying highly vulnerable communities and implementing effective strategies are crucial components in interrupting the transmission chain of any virus. This, in turn, can mitigate the economic and social repercussions of a virus outbreak. As part of this research, a CoVID-19 vulnerability map was developed for the North 24 Parganas district in West Bengal, India. The objective of this study is to explore the impact of rural-urban patterns, spatial dynamics, and morphological factors on Coronavirus infections. This investigation involves examining micro-level differentiations within the district area. Various explanatory variables, including socioeconomic, behavioral, environmental, geographic, and demographic factors, are employed to assess the factors influencing the regional spread of infectious diseases. North 24 Parganas has observed the clustering of CoVID-19 cases at the block level. Incorporating socioeconomic and environmental risk factors such as age, gender, caste, religion, language, occupation, and urbanization status into CoVID-19 case and mortality data will undoubtedly aid in elucidating the geographical origins of the pandemic.
Rai et al. (Thu,) studied this question.
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