Literature DB >> 33509422

A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India.

Kashif Imdad1, Mehebub Sahana2, Md Juel Rana3, Ismail Haque4, Priyank Pravin Patel5, Malay Pramanik6.   

Abstract

In this study, we trace the COVID-19 pandemic's footprint across India's districts. We identify its primary epicentres and the outbreak's imprint in India's hinterlands in four separate time-steps, signifying the different lockdown stages. We also identify hotspots and predict areas where the pandemic may spread next. Significant clusters in the country's western and northern parts pose risk, along with the threat of rising numbers in the east. We also perform epidemiological and socioeconomic susceptibility and vulnerability analyses, identifying resident populations that may be physiologically weaker, leading to a high incidence of cases and pinpoint regions that may report high fatalities due to ambient poor demographic and health-related factors. Districts with a high share of urban population and high population density face elevated COVID-19 risks. Aspirational districts have a higher magnitude of transmission and fatality. Discerning such locations can allow targeted resource allocation to combat the pandemic's next phase in India.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Contagion spread; Epidemic outbreak; Epidemiological attributes; Lockdown measures; Novel coronavirus; Socioeconomic analysis

Year:  2020        PMID: 33509422     DOI: 10.1016/j.sste.2020.100390

Source DB:  PubMed          Journal:  Spat Spatiotemporal Epidemiol        ISSN: 1877-5845


  4 in total

1.  Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland.

Authors:  Mika Siljander; Ruut Uusitalo; Petri Pellikka; Sanna Isosomppi; Olli Vapalahti
Journal:  Spat Spatiotemporal Epidemiol       Date:  2022-02-05

2.  Evaluating the risk of accessing green spaces in COVID-19 pandemic: A model for public urban green spaces (PUGS) in London.

Authors:  Jiayu Pan; Ronita Bardhan
Journal:  Urban For Urban Green       Date:  2022-06-14

3.  Analyzing the Risk to COVID-19 Infection using Remote Sensing and GIS.

Authors:  Shruti Kanga; Gowhar Meraj; Majid Farooq; M S Nathawat; Suraj Kumar Singh
Journal:  Risk Anal       Date:  2021-03-17       Impact factor: 4.302

4.  Plastic waste footprint in the context of COVID-19: Reduction challenges and policy recommendations towards sustainable development goals.

Authors:  Suraj K Mallick; Malay Pramanik; Biswajit Maity; Pritiranjan Das; Mehebub Sahana
Journal:  Sci Total Environ       Date:  2021-07-10       Impact factor: 10.753

  4 in total

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