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Contribution of infection and vaccination to population-level seroprevalence through two COVID waves in Tamil Nadu, India.
Selvavinayagam, T S; Somasundaram, Anavarathan; Selvam, Jerard Maria; Sampath, P; Vijayalakshmi, V; Kumar, C Ajith Brabhu; Subramaniam, Sudharshini; Kumarasamy, Parthipan; Raju, S; Avudaiselvi, R; Prakash, V; Yogananth, N; Subramanian, Gurunathan; Roshini, A; Dhiliban, D N; Imad, Sofia; Tandel, Vaidehi; Parasa, Rajeswari; Sachdeva, Stuti; Ramachandran, Sabareesh; Malani, Anup.
  • Selvavinayagam TS; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Somasundaram A; Institute of Community Medicine, Madras Medical College, Chennai, Tamil Nadu, India.
  • Selvam JM; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Sampath P; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Vijayalakshmi V; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Kumar CAB; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Subramaniam S; Institute of Community Medicine, Madras Medical College, Chennai, Tamil Nadu, India.
  • Kumarasamy P; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Raju S; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Avudaiselvi R; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Prakash V; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Yogananth N; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Subramanian G; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Roshini A; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Dhiliban DN; Directorate of Public Health and Preventative Medicine, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
  • Imad S; Artha Global, Mumbai, Maharashtra, India.
  • Tandel V; University of Manchester, Manchester, UK.
  • Parasa R; Artha Global, Mumbai, Maharashtra, India.
  • Sachdeva S; World Bank, Washington D.C., USA.
  • Ramachandran S; University of California, San Diego, CA, USA.
  • Malani A; University of Chicago, Chicago, IL, USA. amalani@uchicago.edu.
Sci Rep ; 14(1): 2091, 2024 01 24.
Article en En | MEDLINE | ID: mdl-38267448
ABSTRACT
This study employs repeated, large panels of serological surveys to document rapid and substantial waning of SARS-CoV-2 antibodies at the population level and to calculate the extent to which infection and vaccination separately contribute to seroprevalence estimates. Four rounds of serological surveys were conducted, spanning two COVID waves (October 2020 and April-May 2021), in Tamil Nadu (population 72 million) state in India. Each round included representative populations in each district of the state, totaling ≥ 20,000 persons per round. State-level seroprevalence was 31.5% in round 1 (October-November 2020), after India's first COVID wave. Seroprevalence fell to 22.9% in round 2 (April 2021), a roughly one-third decline in 6 months, consistent with dramatic waning of SARS-Cov-2 antibodies from natural infection. Seroprevalence rose to 67.1% by round 3 (June-July 2021), with infections from the Delta-variant induced second COVID wave accounting for 74% of the increase. Seroprevalence rose to 93.1% by round 4 (December 2021-January 2022), with vaccinations accounting for 63% of the increase. Antibodies also appear to wane after vaccination. Seroprevalence in urban areas was higher than in rural areas, but the gap shrunk over time (35.7 v. 25.7% in round 1, 89.8% v. 91.4% in round 4) as the epidemic spread even in low-density rural areas.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans País como asunto: Asia Idioma: En Año: 2024 Tipo del documento: Article