دورية أكاديمية

Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon

التفاصيل البيبلوغرافية
العنوان: Bayesian spatio-temporal analysis of malaria prevalence in children between 2 and 10 years of age in Gabon
المؤلفون: Fabrice Mougeni, Bertrand Lell, Ngianga-Bakwin Kandala, Tobias Chirwa
المصدر: Malaria Journal, Vol 23, Iss 1, Pp 1-16 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Arctic medicine. Tropical medicine
LCC:Infectious and parasitic diseases
مصطلحات موضوعية: Small area, Bayesian analysis, Environmental factors, INLA, SPDE, Arctic medicine. Tropical medicine, RC955-962, Infectious and parasitic diseases, RC109-216
الوصف: Abstract Background Gabon still bears significant malaria burden despite numerous efforts. To reduce this burden, policy-makers need strategies to design effective interventions. Besides, malaria distribution is well known to be related to the meteorological conditions. In Gabon, there is limited knowledge of the spatio-temporal effect or the environmental factors on this distribution. This study aimed to investigate on the spatio-temporal effects and environmental factors on the distribution of malaria prevalence among children 2–10 years of age in Gabon. Methods The study used cross-sectional data from the Demographic Health Survey (DHS) carried out in 2000, 2005, 2010, and 2015. The malaria prevalence was obtained by considering the weighting scheme and using the space–time smoothing model. Spatial autocorrelation was inferred using the Moran’s I index, and hotspots were identified with the local statistic Getis-Ord General Gi. For the effect of covariates on the prevalence, several spatial methods implemented in the Integrated Nested Laplace Approximation (INLA) approach using Stochastic Partial Differential Equations (SPDE) were compared. Results The study considered 336 clusters, with 153 (46%) in rural and 183 (54%) in urban areas. The prevalence was highest in the Estuaire province in 2000, reaching 46%. It decreased until 2010, exhibiting strong spatial correlation (P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1475-2875
Relation: https://doaj.org/toc/1475-2875
DOI: 10.1186/s12936-024-04880-8
URL الوصول: https://doaj.org/article/de9e51bd16984d35bab1dd229e763af9
رقم الأكسشن: edsdoj.9e51bd16984d35bab1dd229e763af9
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14752875
DOI:10.1186/s12936-024-04880-8