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

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