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Spatial data analysis addresses the measurement, modelling and interpretation of phenomena that vary across geographic space. Central to this endeavour is the selection of areal units—the discrete ...

Abstract: Region representation learning encodes urban regions into a unified latent vector space, facilitating various urban intelligence tasks. However, existing methods often rely on predetermined ...

Spatial epidemiology, as an important branch of epidemiology, has undergone a significant paradigm shift from infectious disease prevention and control to chronic disease management. This paper ...

The Urban Health Collaborative (UHC) at Drexel University has released an essential new tool for researchers using census data: the 2020 to 2010 Census Tract Crosswalk. This dataset is a valuable ...

Objectives The US Preventive Services Task Force recommends screening of adults aged 35–70 with a body mass index ≥25 kg/m 2 for type 2 diabetes and referral of individuals who screen positive for pre ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The main objective of this study was to evaluate potential ...

Monash Clinical Registries utilise the expertise of senior and experienced statisticians, data scientists and data analysts for all formal reporting and more complex research-related activities.

ABSTRACT: This study aimed at determining the spatial patterns of Road Traffic Crash (RTC) black spots, Federal Road Safety Commission (FRSC) zebra points and emergency health care facilities in ...