Time Series Analysis of Confirmed Malaria Cases Using ARIMA, SARIMA and ARIMAX Models

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Samadou Tchakondo
DOI: 10.5281/zenodo.18637203
Cited by: 0

Abstract

This project applies ARIMA, SARIMA, and ARIMAX models to monthly malaria surveillance data to characterise seasonality and generate forecasts for public health planning.

Fields of Study & Subjects

Malaria Research and Control Data-Driven Disease Surveillance Time Series Analysis and Forecasting

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 February 2026
Language
EN