Spectrum of COVID-19 cases in Arkhangelsk, Northwest Russia: Findings from a population-based study linking serosurvey, registry data, and self-reports of symptoms.

Autor: Krieger E; Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.; International Research Competence Centre, Northern State Medical University, Arkhangelsk, Russian Federation., Kudryavtsev AV; International Research Competence Centre, Northern State Medical University, Arkhangelsk, Russian Federation., Sharashova E; Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway., Samodova O; Department of Infectious diseases, Northern State Medical University, Arkhangelsk, Russian Federation., Kontsevaya A; Department of Public Health, National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russian Federation., Postoev VA; Department of Research Methodology, Northern State Medical University, Arkhangelsk, Russian Federation.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Oct 11; Vol. 19 (10), pp. e0311287. Date of Electronic Publication: 2024 Oct 11 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0311287
Abstrakt: Introduction: The spectrum of COVID-19 manifestations makes it challenging to estimate the exact proportion of people who had the infection in a population, with the proportion of asymptomatic cases likely being underestimated. We aimed to assess and describe the spectrum of COVID-19 cases in a sample of adult population aged 40-74 years in Arkhangelsk, Northwest Russia, a year after the start of the pandemic.
Materials and Methods: A population-based survey conducted between February 24, 2021 and June 30, 2021 with an unvaccinated sample aged 40-74 years (N = 1089) combined a serological survey data, national COVID-19 case registry, and self-reported data on COVID-19 experience and symptoms. Based on the agreement between these sources, we classified the study participants as non-infected and previously infected (asymptomatic, non-hospitalized and hospitalized symptomatic) cases, and compared these groups regarding demographics, lifestyle and health characteristics.
Results: After a year of the pandemic in Arkhangelsk, 59.7% 95% confidence intervals (CI) (56.7; 62.6) of the surveyed population had had COVID-19. Among those who had been infected, symptomatic cases comprised 47.1% 95% CI (43.2; 51.0), with 8.6% 95% CI (6.6; 11.1) of them having been hospitalized. Of the asymptomatic cases, 96.2% were not captured by the healthcare system. Older age was positively associated, while smoking showed a negative association with symptomatic COVID-19. Individuals older than 65 years, and those with poor self-rated health were more likely to be hospitalized.
Conclusion: More than half of the infected individuals were not captured by the healthcare-based registry, mainly those with asymptomatic infections. COVID-19 severity was positively associated with older age and poor self-rated health, and inversely associated with smoking. Combining different sources of surveillance data could reduce the number of unidentified asymptomatic cases and enhance surveillance for emerging infections.
Competing Interests: the authors report there are no competing interests to declare
(Copyright: © 2024 Krieger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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