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Metrics in Urban Health: Current Developments and Future Prospects
Open accessAbstract
The research community has shown increasing interest in developing and using metrics to determine the relationships between urban living and health. In particular, we have seen a recent exponential increase in efforts aiming to investigate and apply metrics for urban health, especially the health impacts of the social and built environments as well as air pollution. A greater recognition of the need to investigate the impacts and trends of health inequities is also evident through more recent literature. Data availability and accuracy have improved through new affordable technologies for mapping, geographic information systems (GIS), and remote sensing. However, less research has been conducted in low- and middle-income countries where quality data are not always available, and capacity for analyzing available data may be limited. For this increased interest in research and development of metrics to be meaningful, the best available evidence must be accessible to decision makers to improve health impacts through urban policies.
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Metadata
- Authors
- Prasad, A., Gray, C. B., Ross, A., & Kano, M.
- Affiliations
- World Health Organization (CH)
- ORCID
- Prasad, Amit
- Venue
- Annual Review of Public Health
- Publisher
- Annual Reviews
- Published
- 2016-03-18
- Volume
- 37
- Issue
- 1
- Pages
- 113-133
- ISSN
- 0163-7525 (ISSN-L)
- 1545-2093
- OpenAlex
- W2262093774
- Cited by
- 49
- References
- 90
- Citations by year
- 2026: 1 · 2024: 7 · 2023: 4 · 2022: 6 · 2021: 8 · 2020: 7 · 2019: 5 · 2018: 7 · 2017: 3 · 2016: 1
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Public Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Urban Studies › Urban Green Space and Health
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- built environment, social environment, air pollution, health disparities, low- and middle-income countries, geographic information systems, remote sensing, urban health policy, data availability
- MeSH terms
- Air Pollution, Climate, Developing Countries, Environment, Epidemiologic Methods, Health Status Indicators, Humans, Poverty Areas, Social Environment, Urban Health, Urbanization, Global Health, Geographic Information Systems, Health Status Disparities
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