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Malaria Prevalence in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: The Ibadan 1996 to 2017 Dataset

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posted on 2020-09-29, 09:27 authored by Biobele J Brown, Petru ManescuPetru Manescu, Olugbemiro Sodeinde, Delmiro Fernandez-ReyesDelmiro Fernandez-Reyes
The Ibadan, Nigeria malaria-prevalence dataset 1996 to 2017.

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

Funding

College of Medicine of University of Ibadan, Nigeria

University College London, Dept. Computer Science

Proteome Wide Study of Host-Parasite Interactions in Malaria Infections

Medical Research Council

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Tackling Malaria Diagnosis in sub-Saharan Africa with Fast, Accurate and Scalable Robotic Automation, Computer Vision and Machine Learning (FASt-Mal)

Department for Business, Energy and Industrial Strategy

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Childhood Malaria Research Group; Dept. of Paediatrics; College of Medicine of University of Ibadan, University College Hospital, Ibadan, Nigeria

History