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Year : 2021  |  Volume : 10  |  Issue : 1  |  Page : 475-480

Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India

1 Department of Internal Medicine, G.C.S. Medical College and Research Center, Ahmedabad, Gujarat, India
2 Graduate Medical Doctor, Gujarat Adani Institute of Medical Sciences and K.S.K.V. University, Bhuj-Kutch, Gujarat, India
3 Associate Professor of Cardiology,Department of Cardiology, U N Mehta Institute of Cardiology, Affiliated to B J Medical College, Ahmedabad, Gujarat, India
4 MBBS Graduate Medical Doctor, GMERS, Gandhinagar, Gujarat, India
5 MBBS Graduate Medical Doctor, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India

Correspondence Address:
Dr. Ajaz Ahmed Z. Ansari
Department of Internal Medicine, G.C.S. Medical College and Research Center, Ahmedabad, Gujarat
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jfmpc.jfmpc_1088_20

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Background and aim: CFR and RR are important indicator of disease pandemic. As of now no data is available about cross-states analysis of these. We aimed to evaluate CFR and RR of COVID-19 across majorly affected States in India. Method: We observed and compared data of confirmed COVID-19 cases, number of deaths, number of recovered/discharged cases and calculated CFR and RR across majorly affected States/UT in India from official database of Government of India, State Government official bulletin, accurate database worldometer. Results: The data showed that Gujarat, Madhya Pradesh, West Bengal reported highest CFR on 8th April, 22nd April, 6th May, 1st June 2020 (95% CI 4.91 – 6.99). Kerala showed encouraging recovery rates 24.32%, 70.31%, 93.24%, 45.81% on 8th and 22nd April, 6th May and 1st June 2020 respectively. India had an average estimated weekly Recovery rate of newly discharged/recovered cases was 32.68% from 19th March to 1st June 2020. (95% CI 20- 45.4%). (The Recovery rate across India was 80.83% as on 22nd September 2020.). Conclusion: The CFR of a disease varies greatly in different regions of the same Country and is influenced by numerous factors such as health control policies, medical standards, and detection efficiency and protocols apart from number of screening tests done. This comparison discusses need of evaluating policies with optimal reporting of medical history of affected persons when comparing COVID-19 case and fatality rates in different regions of the Country.

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