Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods

Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods

Abstract Background Model-based geostatistics (MBG) is increasingly used for estimating the prevalence of neglected tropical diseases, including trachoma, in low- and middle-income countries. We sought to investigate the impact of spatially referenced covariates to improve spatial predictions for tr...

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Main Authors: Misaki Sasanami, Ibrahim Almou, Adam Nouhou Diori, Ana Bakhtiari, Nassirou Beidou, Donal Bisanzio, Sarah Boyd, Clara R. Burgert-Brucker, Abdou Amza, Katherine Gass, Boubacar Kadri, Fikreab Kebede, Michael P. Masika, Nicholas P. Olobio, Fikre Seife, Abdoul Salam Youssoufou Souley, Amsayaw Tefera, Amir B. Kello, Anthony W. Solomon, Emma M. Harding-Esch, Emanuele Giorgi
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Global and Public Health
Subjects:
Covariates
Disease mapping
Evaluation unit
Geostatistics
Neglected tropical diseases
Trachoma
Online Access:https://doi.org/10.1186/s44263-025-00161-x
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https://doi.org/10.1186/s44263-025-00161-x

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