Time-Series Analysis and Age-Stratified Forecasting of Diarrheal Disease in Rwanda Using SARIMA Models.

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Title: Time-Series Analysis and Age-Stratified Forecasting of Diarrheal Disease in Rwanda Using SARIMA Models.
Authors: Benimana TD; National Health Intelligence Center, Ministry of Health, Kigali P.O. Box 84, Rwanda.; Department of Public Health, Seoul National University, Seoul 08826, Republic of Korea., Habimana M; Centre for Financial Regulation and Inclusion (CENFRI), Kigali P.O. Box 1599, Rwanda., Harerimana JD; Clinton Health Access Initiative, Kigali P.O. Box 6169, Rwanda., Mugabo E; National Health Intelligence Center, Ministry of Health, Kigali P.O. Box 84, Rwanda., Sebakunzi T; National Health Intelligence Center, Ministry of Health, Kigali P.O. Box 84, Rwanda., Niyonshuti P; National Health Intelligence Center, Ministry of Health, Kigali P.O. Box 84, Rwanda., Rwema V; National Health Intelligence Center, Ministry of Health, Kigali P.O. Box 84, Rwanda.; Clinton Health Access Initiative, Kigali P.O. Box 6169, Rwanda., Semakula M; African Centre of Excellence in Data Science, University of Rwanda, Kigali P.O. Box 1514, Rwanda., Hwang SS; Department of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Source: Tropical medicine and infectious disease [Trop Med Infect Dis] 2026 May 11; Vol. 11 (5). Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101709042 Publication Model: Electronic Cited Medium: Internet ISSN: 2414-6366 (Electronic) Linking ISSN: 24146366 NLM ISO Abbreviation: Trop Med Infect Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2414-6366
DOI:10.3390/tropicalmed11050130