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  • American Public Health Association  (2)
  • 1
    Online Resource
    Online Resource
    American Public Health Association ; 2019
    In:  American Journal of Public Health Vol. 109, No. 4 ( 2019-04), p. 585-592
    In: American Journal of Public Health, American Public Health Association, Vol. 109, No. 4 ( 2019-04), p. 585-592
    Abstract: Objectives. To support efforts to improve urban population health, we created a City Health Dashboard with area-specific data on health status, determinants of health, and equity at city and subcity (census tract) levels. Methods. We developed a Web-based resource that includes 37 metrics across 5 domains: social and economic factors, physical environment, health behaviors, health outcomes, and clinical care. For the largest 500 US cities, the Dashboard presents metrics calculated to the city level and, where possible, subcity level from multiple data sources, including national health surveys, vital statistics, federal administrative data, and state education data sets. Results. Iterative input from city partners shaped Dashboard development, ensuring that measures can be compared across user-selected cities and linked to evidence-based policies to spur action. Reports from early deployment indicate that the Dashboard fills an important need for city- and subcity-level data, fostering more granular understanding of health and its drivers and supporting associated priority-setting. Conclusions. By providing accessible city-level data on health and its determinants, the City Health Dashboard complements local surveillance efforts and supports urban population health improvement on a national scale.
    Type of Medium: Online Resource
    ISSN: 0090-0036 , 1541-0048
    RVK:
    Language: English
    Publisher: American Public Health Association
    Publication Date: 2019
    detail.hit.zdb_id: 2054583-6
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  • 2
    In: American Journal of Public Health, American Public Health Association, Vol. 112, No. 10 ( 2022-10), p. 1436-1445
    Abstract: In response to rapidly changing societal conditions stemming from the COVID-19 pandemic, we summarize data sources with potential to produce timely and spatially granular measures of physical, economic, and social conditions relevant to public health surveillance, and we briefly describe emerging analytic methods to improve small-area estimation. To inform this article, we reviewed published systematic review articles set in the United States from 2015 to 2020 and conducted unstructured interviews with senior content experts in public heath practice, academia, and industry. We identified a modest number of data sources with high potential for generating timely and spatially granular measures of physical, economic, and social determinants of health. We also summarized modeling and machine-learning techniques useful to support development of time-sensitive surveillance measures that may be critical for responding to future major events such as the COVID-19 pandemic. (Am J Public Health. 2022;112(10):1436–1445. https://doi.org/10.2105/AJPH.2022.306917 )
    Type of Medium: Online Resource
    ISSN: 0090-0036 , 1541-0048
    RVK:
    Language: English
    Publisher: American Public Health Association
    Publication Date: 2022
    detail.hit.zdb_id: 2054583-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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