Machine Learning Techniques for Predicting Malaria: Unpacking Emerging Challenges and Opportunities for Tackling Malaria in Sub-saharan Africa
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35314-7_30
Reference74 articles.
1. Tian, H., et al.: Malaria elimination on Hainan Island despite climate change. Commun. Med. 21(2), 1–9 (2022 ) https://doi.org/10.1038/s43856-022-00073-z
2. Mbunge, E., Ndumiso, N., Kavu, T.D., Dandajena, K., Batani, J., Fashoto, S.G:. Towards QR Code Health Systems Amid COVID-19: Lessons Learnt from Other QR Code Digital Technologies, pp. 129–43 (2022). https://doi.org/10.1007/978-3-031-10031-4_7
3. Kebede, Y., et al.: Primary school students’ poetic malaria messages from Jimma zone, Oromia, Ethiopia: a qualitative content analysis. BMC Public Health 21, 1–16 (2021). https://doi.org/10.1186/S12889-021-11641-8/TABLES/2
4. Mbunge, E., Millham, R., Sibiya, M.N., Takavarasha, S.: Impact of COVID-19 on Malaria Elimination: Juxtaposing Indoor Residual Spraying and Mobile Phones in Buhera Rural District, Zimbabwe (2021). https://doi.org/10.21203/rs.3.rs-173130/v2
5. Tarekegn, M., Tekie, H., Dugassa, S., Wolde-Hawariat, Y.: Malaria prevalence and associated risk factors in Dembiya district North-western Ethiopia. Malar J. 20, 1–11 (2021). https://doi.org/10.1186/S12936-021-03906-9/TABLES/4
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