Forecasting malaria cases using climate variability in Sierra Leone

Forecasting malaria cases using climate variability in Sierra Leone

Abstract Background Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA) have traditionally been employed for dise...

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Bibliographic Details
Main Authors: Saidu Wurie Jalloh, Boniface Malenje, Herbert Imboga, Mary H. Hodges
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Malaria Journal
Subjects:
Malaria
Sierra Leone
Time series forecasting
Seasonal autoregressive integrated moving average
Artificial neural network
Public health
Online Access:https://doi.org/10.1186/s12936-025-05389-4
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https://doi.org/10.1186/s12936-025-05389-4

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