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. |
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| 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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| ISSN: | 1475-2875 |
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| DOI: | 10.1186/s12936-025-05547-8 |
