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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2021-01-01
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| Series: | Journal of Family Medicine and Primary Care |
| Subjects: | |
| Online Access: | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2021;volume=10;issue=11;spage=4200;epage=4204;aulast=Khobragade |
| 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. |
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| ISSN: | 2249-4863 |