The burden of COVID-19 infection in a rural Tamil Nadu community

Author:

Isaac R.,Paul B.,Finkel M.,Moorthy M.,Venkateswaran S.,Bachmann T. T.,Pinnock H.,Norrie J.,Ramalingam S.,Minz S.,Hansdak S.,Blythe R.,Keller M.,Muliyil J.,Weller D.

Abstract

Abstract Background There have been over 30 million cases of COVID-19 in India and over 430,000 deaths. Transmission rates vary from region to region, and are influenced by many factors including population susceptibility, travel and uptake of preventive measures. To date there have been relatively few studies examining the impact of the pandemic in lower income, rural regions of India. We report on a study examining COVID-19 burden in a rural community in Tamil Nadu. Methods The study was undertaken in a population of approximately 130,000 people, served by the Rural Unit of Health and Social Affairs (RUHSA), a community health center of CMC, Vellore. We established and evaluated a COVID-19 PCR-testing programme for symptomatic patients—testing was offered to 350 individuals, and household members of test-positive cases were offered antibody testing. We also undertook two COVID-19 seroprevalence surveys in the same community, amongst 701 randomly-selected individuals. Results There were 182 positive tests in the symptomatic population (52.0%). Factors associated with test-positivity were older age, male gender, higher socioeconomic status (SES, as determined by occupation, education and housing), a history of diabetes, contact with a confirmed/suspected case and attending a gathering (such as a religious ceremony, festival or extended family gathering). Amongst test-positive cases, 3 (1.6%) died and 16 (8.8%) suffered a severe illness. Amongst 129 household contacts 40 (31.0%) tested positive. The two seroprevalence surveys showed positivity rates of 2.2% (July/Aug 2020) and 22.0% (Nov 2020). 40 tested positive (31.0%, 95% CI: 23.02 − 38.98). Our estimated infection-to-case ratio was 31.7. Conclusions A simple approach using community health workers and a community-based testing clinic can readily identify significant numbers of COVID-19 infections in Indian rural population. There appear, however, to be low rates of death and severe illness, although vulnerable groups may be under-represented in our sample. It’s vital these lower income, rural populations aren’t overlooked in ongoing pandemic monitoring and vaccine roll-out in India.

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases

Reference47 articles.

1. European Centre for Disease Prevention and Control. COVID-19 situation update worldwide, as of week 4, updated 4 February 2021. https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases (accessed 8th February 2021).

2. Mazumder A, Arora M, Bharadiya V, Berry P, Agarwal M, Behera P, et al. SARS-CoV-2 epidemic in India: epidemiological features and in silico analysis of the effect of. F1000Res. 2020;9:315. https://doi.org/10.12688/f1000research.23496.2.

3. Mahajan P, Kaushal J. Epidemic trend of COVID-19 transmission in India during lockdown-1 phase. J Commun Health. 2020. https://doi.org/10.1007/s10900-020-00863-3.

4. Kumar A, Nayar KR, Koya SF. COVID-19: challenges and its consequences for rural health care in India. Public Health Pract. 2020;1:100009.

5. Indian Council of Medical Research. Media Report on “Briefing on COVID-19“. New Delhi, India: Department of Health Research—Ministry of Health and Family Welfare Government of India; [Last accessed on 2020 Mar 28]. https://www.icmrnicin/sites/default/files/MediaReport_COVID19pdf. [Google Scholar].

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