RCMI Coordinating Center (RCMI CC) Header Logo

Ming Tsou

TitleDirector of the Center for Human Dynamics in the Mobile Age
Faculty RankProfessor
InstitutionSan Diego State University
DepartmentGeography
AddressSan Diego State University
5500 Campanile Drive
San Diego CA 92182
Phone6195940205
vCardDownload vCard

    Collapse Affiliation 

    Collapse Biography 
    Collapse education and training
    University of Colorado at Boulder, Boulder, COPh.D.08/2001Geography

    Collapse Overview 
    Collapse overview
    Dr. Ming-Hsiang (Ming) Tsou is Professor of Geography, Director of the Center for Human Dynamics at the Mobile Age (HDMA), and the founding Program Director of Big Data Analytics Program (Master of Science) at San Diego State University. His research interests are in human dynamics, social media, big data, public health, visualization, and Web GIS. Dr. Tsou has received over $4.39 million extramural funding, as PI or Co-PI, and $22.25 million funding as Co-Investigators, from NASA, NSF, NIH, USFS, and several state and local government agencies. He has published 91 refereed articles, two books, and one National Research Council Report (co-authored in 2007) since he started his academic career at SDSU in 2000.

    Dr. Tsou has collaborated with researchers at UCSD Moores Cancer Center and City of Hope to develop web-based GIS data visualization tools for studying health disparity of various cancers. He also collaborated with the County of San Diego Office of Emergency Services to develop an integrated wildfire evacuation decision support system (IWEDSS) by integrating social media, census survey, geographic information systems (GIS), real-time traffics, and remote sensing data.

    One of his recent research efforts focus on the development of a research hub for COVID-19 outbreaks and the mapping of medical vulnerable population in San Diego (https://hdma-sdsu.github.io/). He is collaborating with several SDSU faculty from Public Health, Linguistics, Mathematics and Statistics, and Communication to develop a predictive model for COVID-19 spread patterns and to examine the geographic variations in social contexts and their influence on minority population and health disparities in relation to the COVID-19 outbreak.

    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
    Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Martinez LS, Savage MW, Jones E, Mikita E, Yadav V, Tsou MH. Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the COVID-19 Pandemic. Int J Environ Res Public Health. 2022 12 26; 20(1). PMID: 36612674.
      Citations: 2     Fields:    Translation:HumansPHPublic Health
    2. Embury J, Tsou MH, Nara A, Oren E. A Spatio-Demographic Perspective on the Role of Social Determinants of Health and Chronic Disease in Determining a Population's Vulnerability to COVID-19. Prev Chronic Dis. 2022 06 30; 19:E38. PMID: 35772035.
      Citations: 3     Fields:    Translation:HumansPHPublic Health
    3. Fernandez G, Maione C, Yang H, Zaballa K, Bonnici N, Carter J, Spitzberg BH, Jin C, Tsou MH. Social Network Analysis of COVID-19 Sentiments: 10 Metropolitan Cities in Italy. Int J Environ Res Public Health. 2022 06 23; 19(13). PMID: 35805378.
      Citations: 2     Fields:    Translation:HumansPHPublic Health
    4. Ashing KT, Song G, O'Connor T, Obodo U, Abuan F, Dawson CT, Tiep B, Macalintal J, Yeung S, Xie B, Tsou MH. Spatial and Descriptive Analysis of Smoke and Vape Shop Locations Focusing on A Cancer Center Neighboring Catchment Area. Pap Appl Geogr. 2022; 8(1):61-71. PMID: 35664374.
      Citations:    
    5. Obrochta CA, Murphy JD, Tsou MH, Thompson CA. Disentangling Racial, Ethnic, and Socioeconomic Disparities in Treatment for Colorectal Cancer. Cancer Epidemiol Biomarkers Prev. 2021 08; 30(8):1546-1553. PMID: 34108139.
      Citations: 9     Fields:    Translation:Humans
    6. Oren E, Martinez L, Hensley RE, Jain P, Ahmed T, Purnajo I, Nara A, Tsou MH. Twitter Communication During an Outbreak of Hepatitis A in San Diego, 2016-2018. Am J Public Health. 2020 10; 110(S3):S348-S355. PMID: 33001731.
      Citations: 7     Fields:    Translation:HumansPHPublic Health
    7. Liang B, Wang Y, Tsou MH. A "fitness" Theme May Mitigate Regional Prevalence of Overweight and Obesity: Evidence from Google Search and Tweets. J Health Commun. 2019; 24(9):683-692. PMID: 31469057.
      Citations: 2     Fields:    Translation:Humans
    8. Gibbons J, Malouf R, Spitzberg B, Martinez L, Appleyard B, Thompson C, Nara A, Tsou MH. Twitter-based measures of neighborhood sentiment as predictors of residential population health. PLoS One. 2019; 14(7):e0219550. PMID: 31295294.
      Citations: 13     Fields:    Translation:Humans
    9. Martinez LS, Hughes S, Walsh-Buhi ER, Tsou MH. "Okay, We Get It. You Vape": An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. J Health Commun. 2018; 23(6):550-562. PMID: 29979920.
      Citations: 24     Fields:    Translation:Humans
    10. Allen C, Tsou MH, Aslam A, Nagel A, Gawron JM. Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza. PLoS One. 2016; 11(7):e0157734. PMID: 27455108.
      Citations: 39     Fields:    Translation:HumansPHPublic Health
    11. Biggerstaff M, Alper D, Dredze M, Fox S, Fung IC, Hickmann KS, Lewis B, Rosenfeld R, Shaman J, Tsou MH, Velardi P, Vespignani A, Finelli L. Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge. BMC Infect Dis. 2016 07 22; 16:357. PMID: 27449080.
      Citations: 82     Fields:    Translation:HumansPHPublic Health
    12. Jiang W, Wang Y, Tsou MH, Fu X. Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index (AQI): A Geo-Targeted Spatiotemporal Analysis Framework with Sina Weibo (Chinese Twitter). PLoS One. 2015; 10(10):e0141185. PMID: 26505756.
      Citations: 20     Fields:    Translation:HumansPHPublic Health
    13. Han SY, Tsou MH, Clarke KC. Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of U.S. Cities. PLoS One. 2015; 10(7):e0132464. PMID: 26167942.
      Citations: 2     Fields:    Translation:Humans
    14. Aslam AA, Tsou MH, Spitzberg BH, An L, Gawron JM, Gupta DK, Peddecord KM, Nagel AC, Allen C, Yang JA, Lindsay S. The reliability of tweets as a supplementary method of seasonal influenza surveillance. J Med Internet Res. 2014 Nov 14; 16(11):e250. PMID: 25406040.
      Citations: 40     Fields:    Translation:HumansPHPublic Health
    15. Nagel AC, Tsou MH, Spitzberg BH, An L, Gawron JM, Gupta DK, Yang JA, Han S, Peddecord KM, Lindsay S, Sawyer MH. The complex relationship of realspace events and messages in cyberspace: case study of influenza and pertussis using tweets. J Med Internet Res. 2013 Oct 24; 15(10):e237. PMID: 24158773.
      Citations: 27     Fields:    Translation:Humans
    Tsou's Networks
    Click the
    Explore
    buttons for more information and interactive visualizations!
    Concepts (57)
    Explore
    _
    Co-Authors (3)
    Explore
    _
    Similar People (60)
    Explore
    _
    Same Department Expand Description
    Explore
    _
    RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

    For technical support please contact support