2026-07-19T10:27:59Z https://api.figshare.com/v2/oai
oai:figshare.com:article/12369137 2020-09-29T09:27:03Z category_27073 category_27106 category_24700 category_24466 category_27094 portal_549 item_type_3 month_year_09_2020
10.5522/04/12369137.v1 https://figshare.com/articles/dataset/Malaria_Prevalence_in_Large_Densely-Populated_Urban_Holoendemic_sub-Saharan_West_Africa_The_Ibadan_1996_to_2017_Dataset/12369137 https://ndownloader.figshare.com/files/24824036 https://doi.org/10.1038/s41598-020-72575-6 10.1038/s41598-020-72575-6 Brown, Biobele J Biobele J Brown 0000-0001-6981-9872 Manescu, Petru Petru Manescu Sodeinde, Olugbemiro Olugbemiro Sodeinde Fernandez-Reyes, Delmiro Delmiro Fernandez-Reyes 0000-0001-5070-9198 <![CDATA[Malaria Prevalence in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: The Ibadan 1996 to 2017 Dataset]]> Epidemiology not elsewhere classified Health surveillance Medical parasitology Haematology Health care administration malaria sub-Saharan west africa prevalence prediction machine learning Epidemiology Health Information Systems (incl. Surveillance) Medical Parasitology Haematology Health Care 2020-09-29 2023-05-30 Dataset 2020 University College London
When using the dataset please also cite:
Brown, B.J., Manescu, P., Przybylski, A.A. et al. Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa. Sci Rep 10, 15918 (2020). https://doi.org/10.1038/s41598-020-72575-6

For metadata and supplementary information see:
Brown, B.J., Manescu, P., Przybylski, A.A. et al. Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa. Sci Rep 10, 15918 (2020). https://doi.org/10.1038/s41598-020-72575-6
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