Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016–2021

• Published in: Malaria Journal
• Main Authors: Justice Moses K. Aheto, Lynette J. Menezes, Wisdom Takramah, Liwang Cui
• Format: Article in Journal/Newspaper
• Language: English
• Published: BMC 2024
• Subjects: Malaria; Under-five malaria; Mapping malaria risk; Bayesian methods; Spatio-temporal methods; Integrated Nested Laplace Approximation; Arctic medicine. Tropical medicine; RC955-962; Infectious and parasitic diseases; RC109-216; Arctic; Keta; Laplace
• Online Access: https://doi.org/10.1186/s12936-024-04918-x; https://doaj.org/article/358831ffe93e450c988053b7501d7744

Abstract Background Ghana is among the top 10 highest malaria burden countries, with about 20,000 children dying annually, 25% of which were under five years. This study aimed to produce interactive web-based disease spatial maps and identify the high-burden malaria districts in Ghana. Methods The s...