A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Underreporting of SARS-CoV-2 infections during the first wave of the 2020 COVID-19 epidemic in Finland-Bayesian inference based on a series of serological surveys
Tekijät: Nieminen Tuomo A, Auranen Kari, Kulathinal Sangita, Härkänen Tommi, Melin Merit, Palmu Arto A, Jokinen Jukka
Kustantaja: PUBLIC LIBRARY SCIENCE
Julkaisuvuosi: 2023
Journal: PLoS ONE
Tietokannassa oleva lehden nimi: PLOS ONE
Lehden akronyymi: PLOS ONE
Artikkelin numero: e0282094
Vuosikerta: 18
Numero: 6
Sivujen määrä: 23
ISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0282094
Verkko-osoite: https://doi.org/10.1371/journal.pone.0282094
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/180643931
In Finland, the first wave of the COVID-19 epidemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took place from March to June 2020, with the majority of COVID-19 cases diagnosed in the Helsinki-Uusimaa region. The magnitude and trend in the incidence of COVID-19 is one way to monitor the course of the epidemic. The diagnosed COVID-19 cases are a subset of the infections and therefore the COVID-19 incidence underestimates the SARS-CoV-2 incidence. The likelihood that an individual with SARS-CoV-2 infection is diagnosed with COVID-19 depends on the clinical manifestation as well as the infection testing policy and capacity. These factors may fluctuate over time and the underreporting of infections changes accordingly. Quantifying the extent of underreporting allows the assessment of the true incidence of infection. To obtain information on the incidence of SARS-CoV-2 infection in Finland, a series of serological surveys was initiated in April 2020. We develop a Bayesian inference approach and apply it to data from the serological surveys, registered COVID-19 cases, and external data on antibody development, to estimate the time-dependent underreporting of SARS-Cov-2 infections during the first wave of the COVID-19 epidemic in Finland. During the entire first wave, there were 1 to 5 (95% probability) SARS-CoV-2 infections for every COVID-19 case. The underreporting was highest before April when there were 4 to 17 (95% probability) infections for every COVID-19 case. It is likely that between 0.5%-1.0% (50% probability) and no more than 1.5% (95% probability) of the adult population in the Helsinki-Uusimaa region were infected with SARS-CoV-2 by the beginning of July 2020.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
