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 …

Optimal control analysis of a mathematical model for recurrent malaria dynamics

S Olaniyi, OA Ajala, SF Abimbade - Operations Research Forum, 2023 - Springer
Recurrence of malaria symptoms after treatment constitutes one of the major factors affecting
malaria control in the population. The transmission of malaria will persist in the population, if …

Combining clinical symptoms and patient features for malaria diagnosis: machine learning approach

M Mariki, E Mkoba, N Mduma - Applied Artificial Intelligence, 2022 - Taylor & Francis
Presumptive treatment and self-medication for malaria have been used in limited-resource
countries. However, these approaches have been considered unreliable due to the …

AI-based epidemic and pandemic early warning systems: A systematic scoping review

C El Morr, D Ozdemir, Y Asdaah… - Health Informatics …, 2024 - journals.sagepub.com
Background: Timely detection of disease outbreaks is critical in public health. Artificial
Intelligence (AI) can identify patterns in data that signal the onset of epidemics and …

Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities

JM Tshimula, M Kalengayi, D Makenga… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) is revolutionizing various fields, including public health
surveillance. In Africa, where health systems frequently encounter challenges such as …

Machine Intelligence in Africa: a survey

AA Tapo, A Traoré, S Danioko, H Tembine - arXiv preprint arXiv …, 2024 - arxiv.org
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Application of machine learning models to predict malaria using malaria cases and environmental risk factors

E Mbunge, RC Millham, MN Sibiya… - 2022 Conference on …, 2022 - ieeexplore.ieee.org
Malaria remains a significant cause of deaths and illness especially in sub-Saharan Africa
(SSA). The efforts to eliminate malaria include the use of intermittent preventive prophylaxis …

Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random …

G Nduwayezu, P Zhao, C Kagoyire, L Eklund… - Geospatial …, 2023 - geospatialhealth.net
As found in the health studies literature, the levels of climate association between
epidemiological diseases have been found to vary across regions. Therefore, it seems …

[HTML][HTML] Information and Communication Technology to Enhance the Implementation of the Integrated Management of Childhood Illness: A Systematic Review and …

A Bernasconi, M Landi, CS Yah… - Mayo Clinic Proceedings …, 2024 - Elsevier
Objective To evaluate the impact of Information and Communication Technology (ICT) on
the implementation of Integrated Management of Childhood Illness (IMCI) and Integrated …

Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar

JD Pourtois, K Tallam, I Jones, E Hyde… - PLOS Global Public …, 2023 - journals.plos.org
While much progress has been achieved over the last decades, malaria surveillance and
control remain a challenge in countries with limited health care access and resources. High …