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

Domaine:

healthcare

Type de record:

paper
Créateur:
VicMcCPedAmu
Éditeur:
Pub
Hôte:avatar
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.

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ora.ox.ac.uk

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