The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Impact of population density on Covid-19 infected and mortality rate in India
Open accessAbstract
The Covid-19 is a highly contagious disease which becomes a serious global health concern. The residents living in areas with high population density, such as big or metropolitan cities, have a higher probability to come into close contact with others and consequently any contagious disease is expected to spread rapidly in dense areas. However, recently, after analyzing Covid-19 cases in the USA researchers at the Johns Hopkins Bloomberg School of Public Health, London school of economics, and IZA-Institute of Labour Economics conclude that the spread of Covid-19 is not linked with population density. Here, we investigate the influence of population density on Covid-19 spread and related mortality in the context of India. After a detailed correlation and regression analysis of infection and mortality rates due to Covid-19 at the district level, we find moderate association between Covid-19 spread and population density.
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Metadata
- Authors
- Bhadra, A., Mukherjee, A., & Sarkar, K.
- Venue
- Modeling Earth Systems and Environment
- Published
- 2020-10-14
- Volume
- 7
- Issue
- 1
- Pages
- 623-629
- ISSN
- 2363-6203 (ISSN-L)
- 2363-6211
- OpenAlex
- W3092679561
- Cited by
- 363
- References
- 16
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bhadra, A., Mukherjee, A., & Sarkar, K. (2021). Impact of population density on Covid-19 infected and mortality rate in India. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-020-00984-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
