Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health

Lorna E. Thorpe, Rumi Chunara, Tim Roberts, Nicholas Pantaleo, Caleb Irvine, Sarah Conderino, Yuruo Li, Pei Yang Hsieh, Marc N. Gourevitch, Shoshanna Levine, Rebecca Ofrane, Benjamin Spoer

Research output: Contribution to journalReview articlepeer-review

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).

Original languageEnglish (US)
Pages (from-to)1436-1445
Number of pages10
JournalAmerican journal of public health
Volume112
Issue number10
DOIs
StatePublished - Oct 1 2022

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health'. Together they form a unique fingerprint.

Cite this