ArticleSpatial and spatio-temporal epidemiology2021
A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India.
Article in Spatial and spatio-temporal epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 39 citations in OpenAlex.
- The urban infection susceptibility index and its application in cities of China.Biosafety and health · 2026Article
- Influence of urban morphology on COVID-19 transmission in Saudi Arabia: lessons for the post-COVID era.Frontiers in public health · 2026Article
- A coupled model for public health risk: hazard and urban vulnerability in 18 cities in Sichuan, China.Frontiers in public health · 2025Article
- Article
- Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach.Sustainable cities and society · 2023Article
- Uncovering COVID-19 infection determinants in Portugal: towards an evidence-based spatial susceptibility index to support epidemiological containment policies.International journal of health geographics · 2023Article
- Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases.Frontiers in artificial intelligence · 2023Article
- The continued effects of COVID-19 on the lives and livelihoods of vegetable farmers in India.PloS one · 2023Article
- Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis.BMJ open · 2022Observational
- Community resilience to pandemics: An assessment framework developed based on the review of COVID-19 literature.International journal of disaster risk reduction : IJDRR · 2022Review
- Evaluating the risk of accessing green spaces in COVID-19 pandemic: A model for public urban green spaces (PUGS) in London.Urban forestry & urban greening · 2022Article
- Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland.Spatial and spatio-temporal epidemiology · 2022Article
- Unmasking emerging issues in solid waste management: Knowledge and self-reported practices on the discarded disposable masks during the COVID-19 pandemic in the Philippines.Environmental challenges (Amsterdam, Netherlands) · 2022Article
- Characterizing COVID-19 waves in urban and rural districts of India.npj urban sustainability · 2022Article
- Plastic waste footprint in the context of COVID-19: Reduction challenges and policy recommendations towards sustainable development goals.The Science of the total environment · 2021Article
- Gauging the effects of the COVID-19 pandemic lockdowns on atmospheric pollution content in select countries.Remote sensing applications : society and environment · 2021Article
- Are high-density districts more vulnerable to the COVID-19 pandemic?Sustainable cities and society · 2021Article
- Analyzing the Risk to COVID-19 Infection using Remote Sensing and GIS.Risk analysis : an official publication of the Society for Risk Analysis · 2021Article
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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