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

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...

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Published in:PLoS computational biology 2023-11, Vol.19 (11), p.e1011666
Main Authors: Vicco, Anna, McCormack, Clare P, Pedrique, Belen, Amuasi, John H, Awuah, Anthony Afum-Adjei, Obirikorang, Christian, Struck, Nicole S, Lorenz, Eva, May, Jürgen, Ribeiro, Isabela, Malavige, Gathsaurie Neelika, Donnelly, Christl A, Dorigatti, Ilaria
Format: Article
Language:English
Subjects:
Age composition
Age groups
Antibodies, Viral
Binomial distribution
Biology and Life Sciences
Blood
Cross-Sectional Studies
Dengue
Dengue fever
Disease transmission
Earth Sciences
Estimates
Ghana - epidemiology
Health risks
Humans
Infections
Medicine and Health Sciences
Pathogens
People and Places
Population
Research and Analysis Methods
Sample size
SARS-CoV-2
Seroepidemiologic Studies
Serological surveys
Serology
Severe acute respiratory syndrome coronavirus 2
Simulation
Social Sciences
Surveillance
Vector-borne diseases
Viral diseases
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container_issue 11
container_start_page e1011666
container_title PLoS computational biology
container_volume 19
creator Vicco, Anna
McCormack, Clare P
Pedrique, Belen
Amuasi, John H
Awuah, Anthony Afum-Adjei
Obirikorang, Christian
Struck, Nicole S
Lorenz, Eva
May, Jürgen
Ribeiro, Isabela
Malavige, Gathsaurie Neelika
Donnelly, Christl A
Dorigatti, Ilaria
description 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.
doi_str_mv 10.1371/journal.pcbi.1011666
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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. 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source Open Access: PubMed Central; Publicly Available Content (ProQuest); Coronavirus Research Database
subjects Age composition
Age groups
Antibodies, Viral
Binomial distribution
Biology and Life Sciences
Blood
Cross-Sectional Studies
Dengue
Dengue fever
Disease transmission
Earth Sciences
Estimates
Ghana - epidemiology
Health risks
Humans
Infections
Medicine and Health Sciences
Pathogens
People and Places
Population
Research and Analysis Methods
Sample size
SARS-CoV-2
Seroepidemiologic Studies
Serological surveys
Serology
Severe acute respiratory syndrome coronavirus 2
Simulation
Social Sciences
Surveillance
Vector-borne diseases
Viral diseases
title A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples
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