ReviewAmerican journal of public health2022
Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health.
Review in American journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Prevalence of diagnosed mental health conditions among US children with public and commercial insurance.BMC public health · 2025Article
- Disease Burden of 30 Cancer Groups in Taiwan from 2000 to 2021.Journal of epidemiology and global health · 2025Article
- Objectively-measured Environmental Support for Physical Activity, Healthy Eating, and Breastfeeding in the Rural United States: A Scoping Review to Inform Opportunities for Public Health Surveillance.Journal of healthy eating and active living · 2025Article
- Integrating Behavioral Health Into Monitoring and Surveillance During Public Health Emergencies: Challenges and Opportunities.Disaster medicine and public health preparedness · 2024Review
- A scoping review of policies to encourage breastfeeding, healthy eating, and physical activity among rural people and places in the United States.BMC public health · 2024Article
- Racial and ethnic minorities disproportionately exposed to extreme daily temperature variation in the United States.PNAS nexus · 2024Article
- Innovations in public health surveillance: An overview of novel use of data and analytic methods.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024Article
- Data Democratization for Health Equity: A Public Health of Consequence, August 2023.American journal of public health · 2023Article
- Using Longitudinal Surveillance of Unemployment Claims During Public Health Emergencies to Provide Timely and Granular Data on the Social Determinants of Health.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
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. (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.