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Spatial shifting of COVID-19 clusters and disease association with environmental parameters in India: A time series analysis.
Jana, Arup; Kundu, Sampurna; Shaw, Subhojit; Chakraborty, Sukanya; Chattopadhyay, Aparajita.
  • Jana A; Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India. Electronic address: arupjana0000@gmail.com.
  • Kundu S; Center of Social Medicine and Community Health, Jawaharlal Nehru University, Delhi, 110067, India. Electronic address: sampurna34@gmail.com.
  • Shaw S; Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India. Electronic address: subhojitshaw93@gmail.com.
  • Chakraborty S; IMPRS Neuroscience, Max Planck Institute of Multidisciplinary Sciences, University of Goettingen, Germany. Electronic address: sukanyachakraborty221@gmail.com.
  • Chattopadhyay A; Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India. Electronic address: aparajita@iipsindia.ac.in.
Environ Res ; 222: 115288, 2023 04 01.
Article in English | MEDLINE | ID: covidwho-2178502
ABSTRACT

BACKGROUND:

The viability and virulence of COVID-19 are complex in nature. Although the relationship between environmental parameters and COVID-19 is well studied across the globe, in India, such studies are limited. This research aims to explore long-term exposure to weather conditions and the role of air pollution on the infection spread and mortality due to COVID-19 in India.

METHOD:

District-level COVID-19 data from April 26, 2020 to July 10, 2021 was used for the study. Environmental determinants such as land surface temperature, relative humidity (RH), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Ozone (O3), and Aerosol Optical Depth (AOD) were considered for analysis. The bivariate spatial association was used to explore the spatial relationship between Case Fatality Rate (CFR) and these environmental factors. Further, the Bayesian multivariate linear regression model was applied to observe the association between environmental factors and the CFR of COVID-19.

RESULTS:

Spatial shifting of COVID-19 cases from Western to Southern and then Eastern parts of India were well observed. The infection rate was highly concentrated in most of the Western and Southern regions of India, while the CFR shows more concentration in Northern India along with Maharashtra. Four main spatial clusters of infection were recognized during the study period. The time-series analysis indicates significantly more CFR with higher AOD, O3, and NO2 in India.

CONCLUSIONS:

COVID-19 is highly associated with environmental parameters and air pollution in India. The study provides evidence to warrant consideration of environmental parameters in health models to mediate potential solutions. Cleaner air is a must to mitigate COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Res Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Res Year: 2023 Document Type: Article