Estimation of Seasonal Influenza Attack Rates and Antibody Dynamics in Children Using Cross-Sectional Serological Data.
Bayesian model
The Gambia
childhood infection
influenza
serology
Journal
The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675
Informations de publication
Date de publication:
16 05 2022
16 05 2022
Historique:
received:
21
01
2020
accepted:
13
06
2020
pubmed:
20
6
2020
medline:
20
5
2022
entrez:
20
6
2020
Statut:
ppublish
Résumé
Directly measuring evidence of influenza infections is difficult, especially in low-surveillance settings such as sub-Saharan Africa. Using a Bayesian model, we estimated unobserved infection times and underlying antibody responses to influenza A/H3N2, using cross-sectional serum antibody responses to 4 strains in children aged 24-60 months. Among the 242 individuals, we estimated a variable seasonal attack rate and found that most children had ≥1 infection before 2 years of age. Our results are consistent with previously published high attack rates in children. The modeling approach highlights how cross-sectional serological data can be used to estimate epidemiological dynamics.
Identifiants
pubmed: 32556290
pii: 5859586
doi: 10.1093/infdis/jiaa338
pmc: PMC9113438
doi:
Substances chimiques
Antibodies, Viral
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1750-1754Subventions
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206250/Z/17/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 200861/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/J008761/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.
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