ArticleEnvironment, development and sustainability2021
Nexus between population density and novel coronavirus (COVID-19) pandemic in the south Indian states: A geo-statistical approach.
Article in Environment, development and sustainability, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Disproportionate impact of the COVID-19 pandemic on socially vulnerable communities: the case of Jane and Finch in Toronto, Ontario.Frontiers in public health · 2025Article
- Tracing the COVID-19 spread pattern in India through a GIS-based spatio-temporal analysis of interconnected clusters.Scientific reports · 2024Article
- Migrants' human rights and health protection during the COVID-19 pandemic in the Mediterranean Sea: what we have learnt from direct inspections in two Italian hotspots.Frontiers in public health · 2023Article
- Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave.GeoJournal · 2023Article
- Do the determinants of COVID-19 transmission differ by epidemic wave? Evidence from U.S. counties.Cities (London, England) · 2022Article
- A district-level vulnerability assessment of next COVID-19 variant (Omicron BA.2) in Uttarakhand using quantitative SWOT analysis.Environment, development and sustainability · 2022Article
- What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.Sustainable cities and society · 2022Article
- COVID-19 in New York state: Effects of demographics and air quality on infection and fatality.The Science of the total environment · 2022Article
- Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues.Healthcare (Basel, Switzerland) · 2022Article
- Characterizing COVID-19 waves in urban and rural districts of India.npj urban sustainability · 2022Article
- Human Organotypic Airway and Lung Organoid Cells of Bronchiolar and Alveolar Differentiation Are Permissive to Infection by Influenza and SARS-CoV-2 Respiratory Virus.Frontiers in cellular and infection microbiology · 2022Article
- Geographical Appraisal of COVID-19 in West Bengal, India.GeoJournal · 2022Article
- Observational
- Economic Role of Population Density during Pandemics-A Comparative Analysis of Saudi Arabia and China.International journal of environmental research and public health · 2021Article
- Spatiotemporal dynamics of temperature and precipitation with reference to COVID-19 pandemic lockdown: perspective from Indian subcontinent.Environment, development and sustainability · 2021Article
- Knowledge and practices: Risk perceptions of COVID-19 and satisfaction with preventive measures at workplace among maternity care providers in Pakistan.European journal of midwifery · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unprecedented growth of the novel coronavirus (SARS-CoV-2) as a severe acute respiratory syndrome escalated to the coronavirus disease 2019 (COVID-19) pandemic. It has created an unanticipated global public health crisis that is spreading rapidly in India as well, posing a serious threat to 1350 million persons. Among the factors, population density is foremost in posing a challenge in controlling the COVID-19 contagion. In such extraordinary times, evidence-based knowledge is the prime requisite for pacifying the effect. In this piece, we have studied the district wise transmissions of the novel coronavirus in five south Indian states until 20th July 2020 and its relationship with their respective population density. The five states are purposefully selected for their records in better healthcare infrastructure vis-à-vis other states in India. The study uses Pearson's correlation coefficient to account for the direct impact of population density on COVID-19 transmission rate. Response surface methodology approach is used to validate the correlation between density and transmission rate and spatiotemporal dynamics is highlighted using Thiessen polygon method. The analysis has found that COVID-19 transmission in four states (Kerala, Tamil Nadu, Karnataka and Telangana) strongly hinges upon the spatial distribution of population density. In addition, the results indicate that the long-term impacts of the COVID-19 crisis are likely to differ with demographic density. In conclusion, those at the helm of affairs must take cognizance of the vulnerability clusters together across districts.
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