Kamau, A, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, A, 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. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/CFYACQ
Kamau, A, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, A, 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. Replication Data for: Malaria hospitalisation in East Africa: age, phenotype and transmission intensity [Internet]. Harvard Dataverse; 2021. Available from: https://doi.org/10.7910/DVN/CFYACQ
Kamau, A, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, A, 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. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CFYACQ
Description
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
| Data capture method | Aggregation |
|---|---|
| Date (Date published in a 3rd party system) | 1 December 2021 |
| Language(s) of written materials | English |
| Data Creators | Kamau, A, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, A, 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 |
|---|---|
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 10 Mar 2022 09:22 |
|---|---|
| Last Modified | 02 Feb 2023 10:12 |
| Publisher | Harvard Dataverse |
