Second Edition: Advanced Spatial–Temporal Statistics and Applications for Disease Mapping, Spatial Dependence, and Capacity Building in Biostatistics

Dear Colleagues,

A second edition of the Special Issue on “Advanced Spatial–Temporal Statistics and Applications for Disease Mapping, Spatial Dependence and Capacity Building in Biostatistics” is being organized in the International Journal of Environmental Research and Public Health. For detailed information on the journal, I refer you to https://www.mdpi.com/journal/ijerph.

The burden of health problems and diseases in the sub-Saharan Africa region has long been dominated by communicable diseases such as malaria, tuberculosis, and HIV. However, the region, like most low-income and middle-income regions across the globe, is undergoing epidemiological and demographic transitions leading to the increasing prevalence of non-communicable diseases (NCDs). Data-driven evidence that contributes to the understanding of the geographical and temporal variations of disease burden of NCDs worldwide would be beneficial in resource allocation and planning to address the colliding burden of disease, including maternal and child health; HIV/AIDS and tuberculosis (TB); and non-communicable diseases. Although the analytical capacity could be limited, several initiatives, and specifically the Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB), have enhanced it through collaborative master and doctoral training in biostatistics.

Now, more than before, local biostatisticians perform high-level statistical and spatial analyses of the prominent burden of disease data in high-quality household health surveys. In this issue, we present work resulting in our effort to build capacity in recent developments in disease mapping (both Bayesian and frequentist approaches) to characterize the patterns of communicable and non-communicable disease burdens worldwide to inform global public health policies.

Prof. Dr. Ngianga-Bakwin Kandala
Prof. Dr. Samuel Manda
Dr. Tobias Chirwa
Dr. Thomas N. O. Achia
Guest Editors

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• spatial–temporal statistics
• disease mapping
• spatial dependence
• capacity building in biostatistics