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SARS-CoV-2 Seroprevalence in Tamil Nadu in October-November 2020
Anup Malani; Sabareesh Ramachandran; Vaidehi Tandel; Rajeswari Parasa; S Sudharshini; V. Prakash; Y. Yogananth; S. Raju; T.S. Selvavinayagam.
Affiliation
  • Anup Malani; University of Chicago
  • Sabareesh Ramachandran; University of California San Diego
  • Vaidehi Tandel; Independent
  • Rajeswari Parasa; IDFC Institute
  • S Sudharshini; Directorate of Public Health & Preventative Medicine, Government of Tamil Nadu
  • V. Prakash; Directorate of Public Health & Preventative Medicine, Government of Tamil Nadu
  • Y. Yogananth; Directorate of Public Health & Preventative Medicine, Government of Tamil Nadu
  • S. Raju; Directorate of Public Health & Preventative Medicine, Government of Tamil Nadu
  • T.S. Selvavinayagam; Directorate of Public Health & Preventative Medicine, Government of Tamil Nadu
Preprint in English | medRxiv | ID: ppmedrxiv-21250949
ABSTRACT
A population-representative serological study was conducted in all districts of the state of Tamil Nadu (population 72 million), India, in October-November 2020. State-level seroprevalence was 31.6%. However, this masks substantial variation across the state. Seroprevalence ranged from just 11.1% in The Nilgris to 51.0% in Perambalur district. Seroprevalence in urban areas (36.9%) was higher than in rural areas (26.9%). Females (30.8%) had similar seroprevalence to males (30.3%). However, working age populations (age 40-49 31.6%) have significantly higher seroprevalence than the youth (age 18-29 30.7%) or elderly (age 70+ 25.8%). Estimated seroprevalence implies that at least 22.6 million persons were infected by the end of November, roughly 36 times the number of confirmed cases. Estimated seroprevalence implies an infection fatality rate of 0.052%.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study Language: English Year: 2021 Document type: Preprint
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