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
in 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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Influenza, Human
Type of study:
Incidence_studies
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Child
/
Child, preschool
/
Humans
Language:
En
Journal:
J Infect Dis
Year:
2022
Document type:
Article
Affiliation country:
Reino Unido