Geographically weighted logistic regression model for identifying risk factors for malaria infection among under-5 children in Ghana

Geographically weighted logistic regression model for identifying risk factors for malaria infection among under-5 children in Ghana

Malaria remains a significant public health challenge globally, particularly affecting children under-5 years of age due to their underdeveloped immune systems. Identifying the risk factors associated with malaria infection in this vulnerable group is crucial for improving policy formulation and cre...

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Bibliographic Details
Main Authors: Ernest Konadu Appiah, Eric Nimako Aidoo, Richard Kodzo Avuglah, Simon Kojo Appiah
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Scientific African
Subjects:
Geospatial modeling
Spatial heterogeneity
Statistical model comparison
Logistic regression
Accracy measure
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227624003405
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