Predicting malaria outbreak in The Gambia using machine learning techniques

• Ousman Khan ,

  Contributed equally to this work with: Ousman Khan, Jimoh Olawale Ajadi

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft

  Affiliation Department of Mathematics, College of Computing and Mathematics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

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• Jimoh Olawale Ajadi ,

  Contributed equally to this work with: Ousman Khan, Jimoh Olawale Ajadi

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Supervision, Writing – review & editing

  * E-mail: jimoh.ajadi@kfupm.edu.sa

  Affiliations Department of Mathematics, College of Computing and Mathematics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Interdisciplinary Research Center for Refining & Advanced Chemicals, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

  https://orcid.org/0000-0001-8445-8155

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• M. Pear Hossain

  Roles Formal analysis, Investigation, Validation, Visualization, Writing – review & editing

  Affiliations WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China, Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China

  https://orcid.org/0000-0001-5247-4820

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