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

التفاصيل البيبلوغرافية
العنوان: Prevalence and cross states comparison of case fatality rate and recovery rate of COVID 19/SARS-COV-2 in India
المؤلفون: Kamal Sharma, Harshil M. Desai, Hardik D Desai, Dhigishaba M Jadeja, Rahul Patel, Ajaz Ahmed Z Ansari, Yesha Patel
المصدر: Journal of Family Medicine and Primary Care
بيانات النشر: Medknow, 2021.
سنة النشر: 2021
مصطلحات موضوعية: recovery rate (RR), Coronavirus disease 2019 (COVID-19), Screening test, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), prevalence, State government, COVID-19, India, 030209 endocrinology & metabolism, SARS-COV-2, 03 medical and health sciences, 0302 clinical medicine, Recovery rate, Pandemic, Case fatality rate, Medicine, Original Article, Case fatality rate (CFR), West bengal, 030212 general & internal medicine, business, Demography
الوصف: 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.
تدمد: 2249-4863
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f72a4229b4e13ee2a5b6bc1050ca949Test
https://doi.org/10.4103/jfmpc.jfmpc_1088_20Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....6f72a4229b4e13ee2a5b6bc1050ca949
قاعدة البيانات: OpenAIRE