Spatial mapping and socio-demographic determinants of COVID-19 mortality in India

Background: COVID-19 is caused by SARS-CoV-2. The first case of COVID-19 was detected in Wuhan city of China in December 2019. Geographic information system (GIS) mapping is important for the surveillance of infectious diseases. Objectives: The objectives of the study are to map spatially total case...

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Bibliographic Details
Published in:Journal of family medicine and primary care 2021-11, Vol.10 (11), p.4200-4204
Main Authors: Khobragade, Ashish, Kadam, Dilip
Format: Article
Language:English
Subjects:
China
Communicable diseases
covid-19
Epidemiology
Geographic information systems
gis
Health aspects
India
Mortality
Original
regression
socio-demographic
spatial
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Summary:Background: COVID-19 is caused by SARS-CoV-2. The first case of COVID-19 was detected in Wuhan city of China in December 2019. Geographic information system (GIS) mapping is important for the surveillance of infectious diseases. Objectives: The objectives of the study are to map spatially total cases and case fatality rate of COVID-19 and to build a linear regression model for mortality based on socio-demographic variables. Methology: We plotted the epidemiological data of COVID-19 of Indian states as on 11th May 2021 using the Q-GIS software. We used socio-demographic variables as the predictors of COVID-19 mortality and developed a linear regression model. Results: Adjusted R-squared in linear regression model based on socio-demographic variables for COVID-19 deaths is 0.82. Conclusions: There are spatial variations in COVID-19 cases and deaths.
ISSN:2249-4863
2278-7135
DOI:10.4103/jfmpc.jfmpc_903_21