Literature DB >> 32528664

SARS-CoV-2 epidemic in India: epidemiological features and in silico analysis of the effect of interventions.

Archisman Mazumder1, Mehak Arora1, Vishwesh Bharadiya1, Parul Berry1, Mudit Agarwal1, Priyamadhaba Behera2, Hemant Deepak Shewade3,4, Ayush Lohiya5, Mohak Gupta1, Aditi Rao1, Giridara Gopal Parameswaran1.   

Abstract

Background: After SARS-CoV-2 set foot in India, the Government took a number of steps to limit the spread of the virus in the country. This included restricted testing, isolation, contact tracing and quarantine, and enforcement of a nation-wide lockdown starting 25 March 2020. The objectives of this study were to i) describe the age, gender distribution, and mortality among COVID-19 patients identified till 14 April 2020 and predict the range of contact rate; and ii) predict the number of  COVID-19 infections after 40 days of lockdown.
Methods: We used a cross-sectional descriptive design for the first objective and a susceptible-infected-removed model for in silico predictions. We collected data from government-controlled and crowdsourced websites.
Results: Studying age and gender parameters of 1161 Indian COVID-19 patients, the median age was 38 years (IQR, 27-52) with 20-39 year-old males being the most affected group. The number of affected patients were 854 (73.6%) men and 307 (26.4%) women. If the current contact rate continues (0.25-27), India may have 110460 to 220575 infected persons at the end of 40 days lockdown.
Conclusion: The disease is majorly affecting a younger age group in India. Interventions have been helpful in preventing the worst-case scenario in India but will be unable to prevent the spike in the number of cases. Copyright:
© 2020 Mazumder A et al.

Entities:  

Keywords:  COVID-19; Coronavirus; India; SIR model

Mesh:

Year:  2020        PMID: 32528664      PMCID: PMC7262570.2          DOI: 10.12688/f1000research.23496.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  17 in total

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3.  Coronavirus Disease 2019 (COVID-19) in Italy.

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4.  Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach.

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Journal:  N Engl J Med       Date:  2020-03-17       Impact factor: 91.245

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2.  Predictive models of COVID-19 in India: A rapid review.

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Journal:  BMJ Open       Date:  2021-01-19       Impact factor: 2.692

5.  SARS-CoV-2 PCR positivity rate and seroprevalence of related antibodies among a sample of patients in Cairo: Pre-wave 2 results of a screening program in a university hospital.

Authors:  Samia A Girgis; Hala M Hafez; Hoda Ezz Elarab; Basma Sherif; Moshira H Sabry; Iman Afifi; Fatma Elzahraa Hassan; Amira Reda; Shaimaa Elsayed; Asmaa Mahmoud; Petra Habeb; Ihab S Habil; Rasha S Hussein; Isis M Mossad; Ossama Mansour; Ashraf Omar; Ayman M Saleh; Mahmoud El-Meteini
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