Estimation of Seasonal Influenza Attack Rates and Antibody Dynamics in Children Using Cross-Sectional Serological Data.
J Infect Dis
; 225(10): 1750-1754, 2022 05 16.
Article
em En
| MEDLINE
| ID: mdl-32556290
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Influenza Humana
Tipo de estudo:
Incidence_studies
/
Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Child
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Child, preschool
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Humans
Idioma:
En
Revista:
J Infect Dis
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Reino Unido