17.Spatial analysis03.Spatio temporal analysis

Potential applications to patient-centered research (use cases)

• Track outcomes over time - see Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000-17: a spatial and temporal modeling study, Evolution and epidemic spread of SARS-CoV-2 in Brazil
• Track the association of geolocalized risk factors and outcomes over time - see Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study, Diseases, Injuries, and Risk Factors in Child and Adolescent Health, 1990 to 2017: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2017 Study
• Track spatial movement and corresponding outcomes - see Population flow drives spatio-temporal distribution of COVID-19 in China

Prerequisites

• Dataset with geolocation-related outcomes over time

Results

Data science packages

• Common packages
• tmap - R package for thematic maps