Romuald Beh Mba

Title : Quality report of infectious disease modeling techniques for point-referenced spatial data: A systematic review

Abstract:

Spatial data modeling can provide significant value to healthcare organizations by improving decision support, resource management and distribution, and clinical outcomes. The aim of this study was to (i) summarize the trends of the modeling techniques used to analyze point-referenced spatial data in epidemiology and (ii) examine if all information required when applying these modeling techniques were properly reported in the published papers. A literature search was limited to journal papers published from January 2010 to June 2022 using PubMed, Scopus, Crossref, and Google Scholar. From 528 articles identified with the defined keywords, 351 were retained for the review. The results revealed that the use of modeling techniques in spatial data for infectious diseases increases exponentially over time. The most common spatial method was Empirical Bayesian Kriging [EBK] (52% of the selected articles), followed by Spatial GLMMs (34%) and Spatial smoothing Kernel Estimation (13%).

Biography:

Romuald BEH MBA is young Gabonese scientist who has a profound interest in science and mathematics with a special focus on biostatistics. To fulfil his dreams of becoming a statistician, He pursued an M.Sc. in biostatistics at the university level. His research interests lie in spatial and environmental statistics and Spatio-environmental epidemiology. This area includes disease mapping, ecological analysis, and statistical modelling. He also has interests in other areas of epidemiology such as directional data analysis, and geostatistical estimation of random fields with applications in geosciences and medical science. He started PhD at University of Abomey Calavi (Benin) where He working on Empirical performance of Generalized linear mixed model for point-referenced spatial data with Application to epidemiological data.: Disease Mapping Upon graduating, He will be able to pass his skills and knowledge on to other young biometrics students.