AI Medical Compendium Journal:
Spatial and spatio-temporal epidemiology

Showing 1 to 3 of 3 articles

Explaining spatial accessibility to high-quality nursing home care in the US using machine learning.

Spatial and spatio-temporal epidemiology
In this study we measure and map the system-wide spatial accessibility to good quality nursing home care for all counties in the contiguous United States, and use an 'imputed post-lasso' machine learning technique to systematically examine this acces...

Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence.

Spatial and spatio-temporal epidemiology
Maps of disease burden are a core tool needed for the control and elimination of malaria. Reliable routine surveillance data of malaria incidence, typically aggregated to administrative units, is becoming more widely available. Disaggregation regress...

Deep learning for supervised classification of spatial epidemics.

Spatial and spatio-temporal epidemiology
In an emerging epidemic, public health officials must move quickly to contain the spread. Information obtained from statistical disease transmission models often informs the development of containment strategies. Inference procedures such as Bayesian...