A simulation-based method to inform serosurvey designs for estimating the force of infection using existing blood samples

Journal article

The extent to which dengue virus has been circulating globally and especially in Africa is largely unknown. Testing available blood samples from previous cross-sectional serological surveys offers a convenient strategy to investigate past dengue infections, as such serosurveys provide the ideal data to reconstruct the age-dependent immunity profile of the population and to estimate the average per-capita annual risk of infection: the force of infection (FOI), which is a fundamental measure of transmission intensity.
In this study, we present a novel methodological approach to inform the size and age distribution of blood samples to test when samples are acquired from previous surveys. The method was used to inform SERODEN, a dengue seroprevalence survey which is currently being conducted in Ghana among other countries utilizing samples previously collected for a SARS-CoV-2 serosurvey.
The method described in this paper can be employed to determine sample sizes and testing strategies for different diseases and transmission settings.

Authors: Vicco, A; McCormack, CP; Pedrique, B; Amuasi, JH; Afum-Adjei Awuah, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Public Library of Science
• Journal: PLoS Computational Biology
• Volume: 19
• Issue: 11
• Article number: e1011666
• Publication date: 2023-11-27
• Acceptance date: 2023-11-06
• DOI: 10.1371/journal.pcbi.1011666
• EISSN: 1553-7358
• ISSN: 1553-734X
• Language: English