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Ming Tsou

InstitutionSan Diego State University
AddressSan Diego State University
5500 Campanile Drive
San Diego CA 92182
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    Collapse Biography 
    Collapse education and training
    University of Colorado at Boulder, Boulder, COPh.D.08/2001Geography
    State University of New York at Buffalo, Buffalo, NYM.A.05/1996Geography
    National Taiwan University, TaiwanB.S.06/1991Geography
    Collapse awards and honors
    2004Outstanding Faculty Award, San Diego State University
    2010Outstanding Faculty Award, San Diego State University
    2016Excellence in Education Award, California Geographic Information Association (CGIA)
    2018CPGIS Education Excellent Award, The International Association of Chinese Professionals in Geographic Information Science
    2020Research Excellence Award, The College of Arts and Letters, San Diego State University

    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 Research 
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    #1634641     (Tsou)Sep 1, 2016 - Aug 31, 2020
    National Science Foundation
    Integrated Stage-based Evacuation with Social Perception Analysis and Dynamic Population Estimation
    Role Description: Using Big Data-driven techniques, this project will integrate multiple data sources including social media, census survey, geographic information systems (GIS) data layers, volunteer suggestions, and remote sensing data to develop an integrated wildfire evacuation decision support system (IWEDSS). http://decisionsupport.sdsu.edu
    Role: PI

    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. 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:    Fields:    Translation:HumansPHPublic Health
    2. 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: 1     Fields:    Translation:Humans
    3. 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: 5     Fields:    Translation:Humans
    4. Thompson, Caroline A., Sindana Ilango, Joseph Gibbons, Atsushi Nara, and Ming-Hsiang Tsou. Geospatial Approaches to Energy Balance and Breast Cancer (Eds: David Berrigan, Nathan Berger). Systematic Review of Geospatial Approaches to Breast Cancer Epidemiology. 2019; 141-160.
    5. 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: 6     Fields:    Translation:Humans
    6. 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: 19     Fields:    Translation:HumansPHPublic Health
    7. 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: 54     Fields:    Translation:HumansPHPublic Health
    8. 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: 13     Fields:    Translation:HumansPHPublic Health
    9. 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: 1     Fields:    Translation:Humans
    10. 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: 28     Fields:    Translation:HumansPHPublic Health
    11. 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: 18     Fields:    Translation:Humans
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