Imperial College London
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Professor Christl Donnelly CBE FMedSci FRS

Faculty of Medicine, School of Public Health

Visiting Professor
 
 
 
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Contact

 

c.donnelly Website

 
 
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Location

 

School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Vicco:2023:10.1371/journal.pcbi.1011666,
author = {Vicco, A and McCormack, CP and Pedrique, B and Amuasi, JH and Awuah, AA-A and Obirikorang, C and Struck, NS and Lorenz, E and May, J and Ribeiro, I and Malavige, GN and Donnelly, CA and Dorigatti, I},
doi = {10.1371/journal.pcbi.1011666},
journal = {PLoS Comput Biol},
title = {A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples.},
url = {http://dx.doi.org/10.1371/journal.pcbi.1011666},
volume = {19},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Vicco,A
AU  - McCormack,CP
AU  - Pedrique,B
AU  - Amuasi,JH
AU  - Awuah,AA-A
AU  - Obirikorang,C
AU  - Struck,NS
AU  - Lorenz,E
AU  - May,J
AU  - Ribeiro,I
AU  - Malavige,GN
AU  - Donnelly,CA
AU  - Dorigatti,I
DO  - 10.1371/journal.pcbi.1011666
PY  - 2023///
TI  - A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples.
T2  - PLoS Comput Biol
UR  - http://dx.doi.org/10.1371/journal.pcbi.1011666
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38011203
VL  - 19
ER  -
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