ArticleAmerican journal of public health2017
Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015-2016.
Abstract read
In one paragraph
Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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
23 citing papers in PubMed.
- Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.Journal of medical Internet research · 2025Article
- Novel indices of state- and county-level social disadvantage in older Americans and disparities in mortality.Health & place · 2025Article
- Structural racism and homophobia evaluated through social media sentiment combined with activity spaces and associations with mental health among young sexual minority men.Social science & medicine (1982) · 2023Article
- Examination of the Public's Reaction on Twitter to the Over-Turning of Roe v Wade and Abortion Bans.Healthcare (Basel, Switzerland) · 2022Article
- Diet during the COVID-19 pandemic: An analysis of Twitter data.Patterns (New York, N.Y.) · 2022Article
- The Associations Between Racially/Ethnically Stratified COVID-19 Tweets and COVID-19 Cases and Deaths: Cross-sectional Study.JMIR formative research · 2022Article
- Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets.Frontiers in psychiatry · 2022Article
- Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources.Frontiers in sociology · 2022Article
- Spatial Analysis of COVID-19 Vaccination: A Scoping Review.International journal of environmental research and public health · 2021Article
- Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.Journal of medical Internet research · 2021Article
- A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects.SSM - population health · 2021Article
- The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis.International journal of environmental research and public health · 2021Article
- Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review.Online journal of public health informatics · 2021Article
- Starter Kit for Geotagging and Geovisualization in Health Care: Resource Paper.JMIR formative research · 2020Article
- Conversational topics of social media messages associated with state-level mental distress rates.Journal of mental health (Abingdon, England) · 2020Article
- Cultural Differences in Tweeting about Drinking Across the US.International journal of environmental research and public health · 2020Article
- Digital Segmentation of Priority Populations in Public Health.Health education & behavior : the official publication of the Society for Public Health Education · 2019Article
- Space and Place in Alcohol Research.Current epidemiology reports · 2019Article
- Social determinants of health in mental health care and research: a case for greater inclusion.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Using social media to assess the consumer nutrition environment: comparing Yelp reviews with a direct observation audit instrument for grocery stores.Public health nutrition · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Quynh C NguyenQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Matt McCulloughQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Hsien-Wen MengQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Debjyoti PaulQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Dapeng LiQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Suraj KathQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Geoffrey LoomisQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Elaine O NsoesieQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Ming WenQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Ken R SmithQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Feifei LiQuynh C. Nguyen is with the Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park. Hsien-wen Meng and Geoffrey Loomis are with the Department of Health, Kinesiology, and Recreation; University of Utah College of Health; Salt Lake City. Matt McCullough and Dapeng Li are with the Department of Geography, University of Utah. Debjyoti Paul, Suraj Kath, and Feifei Li are with the School of Computing, University of Utah. Elaine O. Nsoesie is with Institute for Health Metrics and Evaluation, University of Washington, Seattle. Ming Wen is with the Department of Sociology, University of Utah. Ken R. Smith is with the Department of Family and Consumer Studies and Population Science, Huntsman Cancer Institute, University of Utah.
Funding
HashtagHealth: A Social Media Big Data Resource for Neighborhood Effects ResearchK01ES025433 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, QUYNH · 2014 to 2018
$816kNIEHS NIH HHS K01 ES025433
Abstract
objectivesTo leverage geotagged Twitter data to create national indicators of the social environment, with small-area indicators of prevalent sentiment and social modeling of health behaviors, and to test associations with county-level health outcomes, while controlling for demographic characteristics.
methodsWe used Twitter's streaming application programming interface to continuously collect a random 1% subset of publicly available geo-located tweets in the contiguous United States. We collected approximately 80 million geotagged tweets from 603 363 unique Twitter users in a 12-month period (April 2015-March 2016).
resultsAcross 3135 US counties, Twitter indicators of happiness, food, and physical activity were associated with lower premature mortality, obesity, and physical inactivity. Alcohol-use tweets predicted higher alcohol-use-related mortality.
conclusionsSocial media represents a new type of real-time data that may enable public health officials to examine movement of norms, sentiment, and behaviors that may portend emerging issues or outbreaks-thus providing a way to intervene to prevent adverse health events and measure the impact of health interventions.
Indexed as
Health BehaviorDiet, HealthyExerciseFemaleHealth StatusHumansMaleSocial MediaUnited States
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
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.