A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples.
PLoS Comput Biol
; 19(11): e1011666, 2023 Nov.
Article
em En
| MEDLINE
| ID: mdl-38011203
ABSTRACT
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Dengue
/
SARS-CoV-2
Limite:
Humans
País como assunto:
Africa
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article