Time Series Analysis of Malaria Cases at Redeemer’s University Health Centre (2014–2022)

• Authors: Oyindamola Olubusola Alalade , Oluwaferanmi Oladipupo Alalade , Semiu Alayande
• Languages of publication: EN

Abstracts

EN

Planning for public health effectively requires an awareness of the temporal dynamics of malaria, which continues to be a major worldwide health concern. The study aimed at analysing the trend of malaria cases by investigating the factors associated with these cases, also to forecast future occurrences in Redeemer’s University. The time series data was modelled using the Autoregressive Integrated Moving Average (ARIMA) approach. The parameters for the ARIMA model were selected through the Box-Jenkins method, a systematic technique for identifying the optimal model parameters. Analysis showed a seasonal pattern in malaria cases, rainfall emerged as the most important factor with a strong statistical association indicating that higher rainfall levels lead to increased malaria incidence. The dry season also significantly influenced malaria cases, although its impact was less pronounced compared to rainfall. The result of this study predicted that there will be a downward trend of malaria cases in Redeemer’s University for the next five years (2023 – 2027). This study recommended that Redeemer’s University should provide more preventive measures and effective intervention strategies such as vaccines, mosquito nets, insecticides to control malaria fever.

Keywords

EN

Climatic; forecasting; patient; time series; treatment; trend

Discipline

• BIOLOGY: BIOLOGY

• Publisher: Scientific Publishing House „DARWIN”
• Journal: World News of Natural Sciences
• Year: 2025
• Volume: 60
• Pages: 332-347

Contributors

author

Oyindamola Olubusola Alalade

• Department of Mathematics and Statistics, Faculty of Natural Science, Redeemer’s University, Ede, Osun State, Nigeria

author

Oluwaferanmi Oladipupo Alalade

• Faculty of Mathematics, Natural Science, Economics and Computer Science, University of Hildesheim, Universitätsplatz 1, 31141 Hildesheim, Germany

author

Semiu Alayande

• Department of Mathematics and Statistics, Faculty of Natural Science, Redeemer’s University, Ede, Osun State, Nigeria

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• Document Type: article