Book Chapter
Data Integration for Urban Health

Population wellness and quality of life are the results of complex urban biophysical and socioeconomic dynamics. This article explores this novel domain and introduces a broader context of urban data landscape and health indications. It also provides a specific project narrative as an exemplar—NYC PollenScape—describing its background, data, methods, and findings. A more general discussion of sociotechnical challenges in integrated data analytics for urban health follows. The paper concludes with a summary of key takeaways, current limitations, and future work.

Title
Publication TypeBook Chapter
Year of Publication2020
AuthorsLai Y, Stone DJ
Book TitleLeveraging Data Science for Global Health
Pagination351-363
PublisherSpringer, Cham
ISBN978-3-030-47994-7
Keywordsdata science, urban health, Urban informatics, Urban science
Abstract

Population wellness and quality of life are the results of complex urban biophysical and socioeconomic dynamics. This article explores this novel domain and introduces a broader context of urban data landscape and health indications. It also provides a specific project narrative as an exemplar—NYC PollenScape—describing its background, data, methods, and findings. A more general discussion of sociotechnical challenges in integrated data analytics for urban health follows. The paper concludes with a summary of key takeaways, current limitations, and future work.

URLhttps://link.springer.com/chapter/10.1007/978-3-030-47994-7_21
DOI10.1007/978-3-030-47994-7_21