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Living with the virus: Infection and epidemiology of COVID-19 in hotspot area of India.

ABSTRACT: The coronavirus disease (COVID-19) has been identified as a pandemic and affected almost whole world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of this disease, is infecting Indian population since the last week of January 2020. The data were collected from January 30, 2020, to May 23, 2020, to analyze basic trend of COVID-19 cases in India targeting hotspot regions. To find the linear relationship between variables, that is, age, total positive cases, population, and population density data have been statistically analyzed. COVID-19 caused more than 5000 deaths till May 2020 in India. SARS-CoV-2 spread to several Indian cities with more than 100,000 positive cases. Total number of COVID-19 cases and total recovered cases followed the exponential distribution, while number of deaths showed linear behavior. Nearly 50% of the youth, that is, 20-40 years of age had been found to recover from the infection. As a lockdown cannot be a permanent solution, it is important to understand the nature of virus and learn "living with the virus" while minimizing its spreading at the same time.

SUBMITTER: Giri R

PROVIDER: S-EPMC7994984 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Living with the virus: Infection and epidemiology of COVID-19 in hotspot area of India.

Giri Rajat R Kumar Ashish A Saini Monika M Sharma Rakesh Kumar RK

Journal of public affairs 20210222 4

The coronavirus disease (COVID-19) has been identified as a pandemic and affected almost whole world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of this disease, is infecting Indian population since the last week of January 2020. The data were collected from January 30, 2020, to May 23, 2020, to analyze basic trend of COVID-19 cases in India targeting hotspot regions. To find the linear relationship between variables, that is, age, total positive cases, pop ...[more]

PMID: 33786027

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Project description:The world has now facing a health crisis due to outbreak of novel coronavirus 2019 (COVID-19). The numbers of infection and death have been rapidly increasing which result in a serious threat to the social and economic crisis. India as the second most populous nation of the world has also running with a serious health crisis, where more than 8,300,500 people have been infected and 123,500 deaths due to this deadly pandemic. Therefore, it is urgent to highlight the spatial vulnerability to identify the area under risk. Taking India as a study area, a geospatial analysis was conducted to identify the hotspot areas of the COVID-19. In the present study, four factors naming total population, population density, foreign tourist arrivals to India and reported confirmed cases of the COVID-19 were taken as responsible factors for detecting hotspot of the novel coronavirus. The result of spatial autocorrelation showed that all four factors considered for hotspot analysis were clustered and the results were statistically significant (p value < 0.01). The result of Getis-Ord Gi* statistics revealed that the total population and reported COVID-19 cases have got high priority for considering hotspot with greater z-score (> 3 and > 0.7295 respectively). The present analysis reveals that the reported cases of COVID-19 are higher in Maharashtra, followed by Tamil Nadu, Gujarat, Delhi, Uttar Pradesh, and West Bengal. The spatial result and geospatial methodology adopted for detecting COVID-19 hotspot in the Indian subcontinent can help implement strategies both at the macro and micro level. In this regard, social distancing, avoiding social meet, staying at home, avoiding public transport, self-quarantine and isolation are suggested in hotspot zones; together with, the international support is also required in the country to work jointly for mitigating the spread of COVID-19. Electronic supplementary material The online version of this article (10.1007/s41324-020-00375-1) contains supplementary material, which is available to authorized users.

Dataset Information

Living with the virus: Infection and epidemiology of COVID-19 in hotspot area of India.

Publications

Living with the virus: Infection and epidemiology of COVID-19 in hotspot area of India.

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