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BACKGROUND: Understanding the age patterns of disease is necessary to target interventions to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives target young children attending routine immunisation services. Here we explore the relationships between age and severity of malaria hospitalisation versus malaria transmission intensity. METHODS: Clinical data from 21 surveillance hospitals in East Africa were reviewed. Malaria admissions aged 1 month to 14 years from discrete administrative areas since 2006 were identified. Each site-time period was matched to a model estimated community-based age-corrected parasite prevalence to provide predictions of prevalence in childhood (PfPR2-10). Admission with all-cause malaria, severe malaria anaemia (SMA), respiratory distress (RD) and cerebral malaria (CM) were analysed as means and predicted probabilities from Bayesian generalised mixed models. RESULTS: 52,684 malaria admissions aged 1 month to 14 years were described at 21 hospitals from 49 site-time locations where PfPR2-10 varied from

Original publication

DOI

10.1186/s12916-021-02224-w

Type

Journal

BMC Med

Publication Date

27/01/2022

Volume

20

Keywords

Age pattern, Anaemia, Cerebral malaria, Malaria, Parasite prevalence, Severe malaria, Adolescent, Africa, Eastern, Bayes Theorem, Child, Child, Preschool, Hospitalization, Humans, Infant, Malaria, Cerebral, Malaria, Falciparum, Phenotype