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

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, num...

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Autores principales: Z. Ansari, Ajaz Ahmed, Desai, Hardik D., Sharma, Kamal, Jadeja, Dhigishaba M., Patel, Rahul, Patel, Yesha, Desai, Harshil M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132753/
https://www.ncbi.nlm.nih.gov/pubmed/34017773
http://dx.doi.org/10.4103/jfmpc.jfmpc_1088_20
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author Z. Ansari, Ajaz Ahmed
Desai, Hardik D.
Sharma, Kamal
Jadeja, Dhigishaba M.
Patel, Rahul
Patel, Yesha
Desai, Harshil M.
author_facet Z. Ansari, Ajaz Ahmed
Desai, Hardik D.
Sharma, Kamal
Jadeja, Dhigishaba M.
Patel, Rahul
Patel, Yesha
Desai, Harshil M.
author_sort Z. Ansari, Ajaz Ahmed
collection PubMed
description 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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spelling pubmed-81327532021-05-19 Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India Z. Ansari, Ajaz Ahmed Desai, Hardik D. Sharma, Kamal Jadeja, Dhigishaba M. Patel, Rahul Patel, Yesha Desai, Harshil M. J Family Med Prim Care Original Article 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. Wolters Kluwer - Medknow 2021-01 2021-01-30 /pmc/articles/PMC8132753/ /pubmed/34017773 http://dx.doi.org/10.4103/jfmpc.jfmpc_1088_20 Text en Copyright: © 2021 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Z. Ansari, Ajaz Ahmed
Desai, Hardik D.
Sharma, Kamal
Jadeja, Dhigishaba M.
Patel, Rahul
Patel, Yesha
Desai, Harshil M.
Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title_full Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title_fullStr Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title_full_unstemmed Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title_short Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
title_sort prevalence and cross states comparison of case fatality rate and recovery rate of covid 19/sars-cov-2 in india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132753/
https://www.ncbi.nlm.nih.gov/pubmed/34017773
http://dx.doi.org/10.4103/jfmpc.jfmpc_1088_20
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