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印度新冠肺炎/严重急性呼吸综合征冠状病毒2病死率和康复率的患病率及跨邦比较。

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

作者信息

Z Ansari Ajaz Ahmed, Desai Hardik D, Sharma Kamal, Jadeja Dhigishaba M, Patel Rahul, Patel Yesha, Desai Harshil M

机构信息

Department of Internal Medicine, G.C.S. Medical College and Research Center, Ahmedabad, Gujarat, India.

Graduate Medical Doctor, Gujarat Adani Institute of Medical Sciences and K.S.K.V. University, Bhuj-Kutch, Gujarat, India.

出版信息

J Family Med Prim Care. 2021 Jan;10(1):475-480. doi: 10.4103/jfmpc.jfmpc_1088_20. Epub 2021 Jan 30.

DOI:10.4103/jfmpc.jfmpc_1088_20
PMID:34017773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8132753/
Abstract

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.

摘要

背景与目的

病死率(CFR)和康复率(RR)是疾病流行的重要指标。截至目前,尚无关于这些指标跨州分析的数据。我们旨在评估印度主要受影响邦的新冠病毒病的病死率和康复率。

方法

我们观察并比较了新冠病毒病确诊病例、死亡人数、康复/出院病例数的数据,并根据印度政府官方数据库、邦政府官方公告、准确的世界ometers数据库,计算了印度主要受影响邦/联邦属地的病死率和康复率。

结果

数据显示,古吉拉特邦、中央邦、西孟加拉邦在2020年4月8日、4月22日、5月6日、6月1日报告了最高的病死率(95%置信区间4.91 - 6.99)。喀拉拉邦分别在2020年4月8日、4月22日、5月6日和6月1日显示出令人鼓舞的康复率,分别为24.32%、70.31%、93.24%、45.81%。从2020年3月19日至6月1日,印度新出院/康复病例的平均估计每周康复率为32.68%(95%置信区间20 - 45.4%)。(截至2020年9月22日,印度的康复率为80.83%)。

结论

一种疾病的病死率在同一个国家的不同地区差异很大,并且除了所进行的筛查测试数量外,还受到许多因素的影响,如卫生控制政策、医疗标准、检测效率和方案。本比较讨论了在比较该国不同地区的新冠病毒病病例和死亡率时,评估政策以及对受影响人员病史进行最佳报告的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/bf4708cff2a7/JFMPC-10-475-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/6750708893ca/JFMPC-10-475-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/d871d63d77b1/JFMPC-10-475-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/894492f39147/JFMPC-10-475-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/bf4708cff2a7/JFMPC-10-475-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/6750708893ca/JFMPC-10-475-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/d871d63d77b1/JFMPC-10-475-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/894492f39147/JFMPC-10-475-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e99/8132753/bf4708cff2a7/JFMPC-10-475-g006.jpg

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