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Computer vision, causal inference and public health modelling approaches to generate evidence on the impacts of urban planning in non-communicable disease and health inequalities in UK and Australian cities: A proposed collaborative approach

2023-04-19

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Given that the majority of the world’s population live in cities, it is essential to global health efforts that we design them in ways that both reduce non-communicable diseases (NCDs) risk and that facilitate adoption and maintenance of healthy lifestyles. Current approaches tend to focus on the relationship between urban design-related factors that affect health at the local...

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Literature Corpus work: 56d8f1e1-a61a-58f5-8b7c-ef8808beef5b
DOI: 10.1101/2023.04.18.23288757

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Computer vision, causal inference and public health modelling approaches to generate evidence on the impacts of urban planning in non-communicable disease and health inequalities in UK and Australian cities: A proposed collaborative approachDOI 10.1101/2023.04.18.23288757Read

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