Epidemiology and transmission dynamics of COVID-19 in two Indian states

Author:

Laxminarayan Ramanan123ORCID,Wahl Brian34,Dudala Shankar Reddy5ORCID,Gopal K.6,Mohan B Chandra7ORCID,Neelima S.8ORCID,Jawahar Reddy K. S.9ORCID,Radhakrishnan J.10,Lewnard Joseph A.1112ORCID

Affiliation:

1. Center for Disease Dynamics, Economics and Policy, New Delhi, India.

2. Princeton Environmental Institute, Princeton University, Princeton, NJ, USA.

3. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

4. International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

5. Department of Community Medicine, Government Medical College, Kadapa, Andhra Pradesh, India.

6. Animal Husbandry, Dairying and Fisheries Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.

7. Backward Classes, Most Backward Classes, and Minorities Welfare Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.

8. Department of Community Medicine, Guntur Medical College, Guntur, Andhra Pradesh, India.

9. Department of Health, Family Welfare, and Medical Education, Government of Andhra Pradesh, Amaravati, Andhra Pradesh, India.

10. Health and Family Welfare Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.

11. Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.

12. Center for Computational Biology, College of Engineering, University of California, Berkeley, CA, USA.

Abstract

Epidemiology in southern India By August 2020, India had reported several million cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with cases tending to show a younger age distribution than has been reported in higher-income countries. Laxminarayan et al. analyzed data from the Indian states of Tamil Nadu and Andhra Pradesh, which have developed rigorous contact tracing and testing systems (see the Perspective by John and Kang). Superspreading predominated, with 5% of infected individuals accounting for 80% of cases. Enhanced transmission risk was apparent among children and young adults, who accounted for one-third of cases. Deaths were concentrated in 50- to 64-year-olds. Incidence did not change in older age groups, possibly because of effective stay-at-home orders and social welfare programs or socioeconomic status. As in other settings, however, mortality rates were associated with older age, comorbidities, and being male. Science , this issue p. 691 ; see also p. 663

Funder

National Science Foundation

Centers for Disease Control and Prevention

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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