Predicting malaria outbreak in The Gambia using machine learning techniques

O Khan, JO Ajadi, MP Hossain - Plos one, 2024 - journals.plos.org
Malaria is the most common cause of death among the parasitic diseases. Malaria continues
to pose a growing threat to the public health and economic growth of nations in the tropical …

Machine learning techniques for predicting malaria: Unpacking emerging challenges and opportunities for tackling malaria in sub-saharan Africa

E Mbunge, RC Milham, MN Sibiya… - Computer Science On …, 2023 - Springer
Malaria resurgence significantly threatens progress made towards malaria elimination in the
past years and consequently increases socioeconomic and public health burden, especially …

Predicting malaria epidemics in Burkina Faso with machine learning

D Harvey, W Valkenburg, A Amara - PLoS One, 2021 - journals.plos.org
Accurately forecasting the case rate of malaria would enable key decision makers to
intervene months before the onset of any outbreak, potentially saving lives. Until now …

Africa's Malaria epidemic predictor: Application of machine learning on malaria incidence and climate data

M Masinde - Proceedings of the 2020 4th International Conference …, 2020 - dl.acm.org
The 2019 World Malaria Report confirms that Africa continue to bear the burden of malaria
morbidity. The continent accounted for over 93% of the global malaria incidence reported in …

PA-478 Machine learning based modeling of Malaria: a systematic review

MV Sesay, KV Salako, RG Kakaï - 2023 - gh.bmj.com
Background Malaria remains a major global health challenge, with millions of people
affected annually. Traditional methods for predicting malaria outbreaks are limited by factors …

Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa

GJ Gbaguidi, N Topanou, WL Filho, GK Ketoh - BMC Public Health, 2024 - Springer
Background Malaria is one of the major vector-borne diseases most sensitive to climatic
change in West Africa. The prevention and reduction of malaria are very difficult in Benin …

Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model

MT Pillay, N Minakawa, Y Kim, N Kgalane… - Scientific Reports, 2023 - nature.com
Climatic factors influence malaria transmission via the effect on the Anopheles vector and
Plasmodium parasite. Modelling and understanding the complex effects that climate has on …

[HTML][HTML] Exploring predictive frameworks for malaria in Burundi

LD Mfisimana, E Nibayisabe, K Badu… - Infectious Disease …, 2022 - Elsevier
In Burundi, malaria infection has been increasing in the last decade despite efforts to
increase access to health services, and several intervention programs. The use of …

[HTML][HTML] Prediction of malaria incidence using climate variability and machine learning

O Nkiruka, R Prasad, O Clement - Informatics in medicine Unlocked, 2021 - Elsevier
Malaria remains a serious obstacle to socio-economic development in Africa. It was
estimated that about 90% of the deaths occurred in Africa, where various factors such as …

Predicting malaria dynamics in Burundi using deep Learning Models

D Sakubu, KJG Sinigirira, D Niyukuri - arXiv preprint arXiv:2306.02685, 2023 - arxiv.org
Malaria continues to be a major public health problem on the African continent, particularly
in Sub-Saharan Africa. Nonetheless, efforts are ongoing, and significant progress has been …