1. Cohort profile: follow-up of a household cohort throughout five epidemic waves of SARS-CoV-2 in Rio de Janeiro, Brazil.
- Author
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Silva MFBD, Guaraldo L, Santos HFP, Bastos LS, Pina-Costa A, Penetra SLS, Moraes ICV, Calvet GA, Fuller TL, Silva PCR, Siqueira MAMT, and Brasil P
- Subjects
- Humans, Brazil epidemiology, Adult, Male, Female, Middle Aged, Child, Adolescent, Young Adult, Child, Preschool, Cohort Studies, Incidence, Infant, Antibodies, Viral blood, Seroepidemiologic Studies, Follow-Up Studies, Aged, COVID-19 epidemiology, COVID-19 immunology, SARS-CoV-2 immunology, Family Characteristics
- Abstract
Since May 2020, we have been conducting a comprehensive study to understand the natural history of SARS-CoV-2 infection in Rio de Janeiro, Brazil. Our focus has been on following families, systematically collecting respiratory tract swabs and blood samples, monitoring symptoms, and gathering data on vaccine status. This paper aims to describe the household cohort across five epidemic waves of SARS-CoV-2, providing an overview of the collected data and a description of the epidemiological, clinical, and immunological characteristics and incidence of SARS-CoV-2 infection. Our cohort includes 691 participants from 189 households. During the five epidemic waves, we detected 606 infections. The incidence density of SARS-CoV-2 infection ranged from 4 (Delta) to 56 (B.1.1.33) per 1,000 person-week, with a peak in wave B.1.1.33 in all age groups. The seroprevalence of SARS-CoV-2 antibodies (IgG anti spike protein) varied from 37%, in the pre-VoC period, to 99%, in the Omicron period, progressively increasing after each wave in a similar manner regardless of age. As we have monitored the cohort continuously since the beginning of the pandemic, we were able to collect data across different scenarios according to the predominant lineage in circulation. Via active monitoring of families, we were able to carry out an epidemiological surveillance on SARS-CoV-2, including its variants, persistence of symptoms, and changes in immunity over time in the population, contributing to knowledge of the natural history of SARS-CoV-2 infection.
- Published
- 2024
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