Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations

Author:

Salvatore Maxwell,Basu Deepankar,Ray Debashree,Kleinsasser Mike,Purkayastha SoumikORCID,Bhattacharyya Rupam,Mukherjee BhramarORCID

Abstract

ObjectivesTo evaluate the effect of four-phase national lockdown from March 25 to May 31 in response to the COVID-19 pandemic in India and unmask the state-wise variations in terms of multiple public health metrics.DesignCohort study (daily time series of case counts).SettingObservational and population based.ParticipantsConfirmed COVID-19 cases nationally and across 20 states that accounted for >99% of the current cumulative case counts in India until 31 May 2020.ExposureLockdown (non-medical intervention).Main outcomes and measuresWe illustrate the masking of state-level trends and highlight the variations across states by presenting evaluative evidence on some aspects of the COVID-19 outbreak: case fatality rates, doubling times of cases, effective reproduction numbers and the scale of testing.ResultsThe estimated effective reproduction number R for India was 3.36 (95% CI 3.03 to 3.71) on 24 March, whereas the average of estimates from 25 May to 31 May stands at 1.27 (95% CI 1.26 to 1.28). Similarly, the estimated doubling time across India was at 3.56 days on 24 March, and the past 7-day average for the same on 31 May is 14.37 days. The average daily number of tests increased from 1717 (19–25 March) to 113 372 (25–31 May) while the test positivity rate increased from 2.1% to 4.2%, respectively. However, various states exhibit substantial departures from these national patterns.ConclusionsPatterns of change over lockdown periods indicate the lockdown has been partly effective in slowing the spread of the virus nationally. However, there exist large state-level variations and identifying these variations can help in both understanding the dynamics of the pandemic and formulating effective public health interventions. Our framework offers a holistic assessment of the pandemic across Indian states and union territories along with a set of interactive visualisation tools that are daily updated at covind19.org.

Funder

University of Michigan Precision Health Initiative

Michigan Institute of Data Science

National Cancer Institute

University of Michigan Institute for Health Care Policy and Innovation

School of Public Health, University of Michigan

University of Michigan Rogel Cancer Center

Publisher

BMJ

Subject

General Medicine

Reference41 articles.

1. Mayo Foundation for Medical Education and Research . Coronavirus disease 2019 (COVID- 19)—Symptoms and causes. Mayo Clinic, 2020. Available: https://www.mayoclinic.org/diseases-conditions/coronavirus/symptoms-causes/syc-20479963

2. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — The latest 2019 novel coronavirus outbreak in Wuhan, China

3. Chauhan N . After Covid-19 lockdown, plan to unlock India in phases, 2020.

4. Government of India, Ministry of Home Affairs . D.O. No. 40-3/2020-DM-I(A); 2020.

5. COVID-19 India . COVID-19 Tracker updates for India for State-wise and District-wise data, 2020. Available: https://www.covid19india.org/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3