Geospatial based model for malaria risk prediction in Kilombero valley, South-eastern, Tanzania

• Stephen P. Mwangungulu ,

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

  * E-mail: mwastevie@gmail.com

  Affiliations Department of Geospatial Science and Technology, Ardhi University, Dar es Salaam, United Republic of Tanzania, Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Ifakara, United Republic of Tanzania

  https://orcid.org/0009-0007-7704-6356

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• Deus Dorothea,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Geospatial Science and Technology, Ardhi University, Dar es Salaam, United Republic of Tanzania

  https://orcid.org/0000-0003-1370-4691

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• Zakaria R. Ngereja,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Geospatial Science and Technology, Ardhi University, Dar es Salaam, United Republic of Tanzania

  https://orcid.org/0000-0003-4123-7795

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• Emmanuel W. Kaindoa

  Roles Writing – review & editing

  Affiliations Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Ifakara, United Republic of Tanzania, The Nelson Mandela, African Institution of Science and Technology, School of Life Sciences and Bio Engineering, Tengeru, Arusha, United Republic of Tanzania, Wits Research Institute for Malaria, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the Centre for Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa

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