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Comparison of ARIMA and FB-Prophet time series models for the prediction of national and regional malaria incidence in Uganda.

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Title: Comparison of ARIMA and FB-Prophet time series models for the prediction of national and regional malaria incidence in Uganda.
Authors: Fuller B; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA. qth5jr@uvahealth.org., Ssekitoleko R; World Health Organization-Uganda, Kampala, Uganda., Kyozira C; Surveillance and Public Health Department, Ministry of Health, Kampala, Uganda., Colston JM; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA., Makumbi I; Uganda Ministry of Health National Emergency Operations Center, Kampala, Uganda., Bakainaga A; World Health Organization-Uganda, Kampala, Uganda., Moore CC; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA., Kiirya HI; Uganda Ministry of Health National Emergency Operations Center, Kampala, Uganda.; Infectious Diseases Institute, IDI-McKinnell Knowledge Centre, Kampala, Uganda.
Source: Malaria journal [Malar J] 2025 Sep 24; Vol. 24 (1), pp. 289. Date of Electronic Publication: 2025 Sep 24.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101139802 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2875 (Electronic) Linking ISSN: 14752875 NLM ISO Abbreviation: Malar J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Comparison of ARIMA and FB-Prophet time series models for the prediction of national and regional malaria incidence in Uganda.
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  Data: <searchLink fieldCode="AU" term="%22Fuller+B%22">Fuller B</searchLink>; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA. qth5jr@uvahealth.org.<br /><searchLink fieldCode="AU" term="%22Ssekitoleko+R%22">Ssekitoleko R</searchLink>; World Health Organization-Uganda, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Kyozira+C%22">Kyozira C</searchLink>; Surveillance and Public Health Department, Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Colston+JM%22">Colston JM</searchLink>; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA.<br /><searchLink fieldCode="AU" term="%22Makumbi+I%22">Makumbi I</searchLink>; Uganda Ministry of Health National Emergency Operations Center, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Bakainaga+A%22">Bakainaga A</searchLink>; World Health Organization-Uganda, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Moore+CC%22">Moore CC</searchLink>; Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, USA.<br /><searchLink fieldCode="AU" term="%22Kiirya+HI%22">Kiirya HI</searchLink>; Uganda Ministry of Health National Emergency Operations Center, Kampala, Uganda.; Infectious Diseases Institute, IDI-McKinnell Knowledge Centre, Kampala, Uganda.
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  Data: <searchLink fieldCode="JN" term="%22101139802%22">Malaria journal</searchLink> [Malar J] 2025 Sep 24; Vol. 24 (1), pp. 289. <i>Date of Electronic Publication: </i>2025 Sep 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101139802 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-2875 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214752875%22">14752875 </searchLink><i>NLM ISO Abbreviation: </i>Malar J <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12936-025-05547-8
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              Text: 2025 Sep 24
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