Replication Data for: Malaria hospitalisation in East Africa: age, phenotype and transmission intensity

Kamau, AORCID logo, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, AORCID logo, Mturi, N, Mohammed, S, Bigogo, G, Audi, A, Kapisi, J, Sserwanga, A, Namuganga, JF, Kariuki, S, Otieno, NA, Nyawanda, BO, Olotu, A, Salim, N, Athuman, T, Abdulla, S, Mohamed, AF, Mtove, G, Reyburn, H, Gupta, S, Lourenço, J, Bejon, P and Snow, RW (2021). Replication Data for: Malaria hospitalisation in East Africa: age, phenotype and transmission intensity. [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/CFYACQ
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This is a replication dataset for the manuscript in preparation: "Malaria hospitalisation in East Africa: age, phenotype and transmission intensity." These data were obtained from 21 hospitals in East Africa that had a continuous paediatric ward surveillance established for the purposes of monitoring acute febrile illness aetiology, disease burden epidemiology or research settings for improvements in hospital case-management. Each site used malaria diagnostics on all febrile presentations, an electronic medical record form that recorded standardised features of severe malaria and documented residential addresses on all admissions. The data includes the signs and symptoms of the three common paediatric severe malaria phenotypes (severe malaria anaemia, respiratory distress and cerebral malaria) including alternative definitions of these severe pathologies and on all-cause malaria admissions.

Keywords

malaria, age pattern, parasite prevalence, severe malaria, anaemia, cerebral malaria

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