Data Science
Shaping Global Population Health
The Population Health Data Science Program promotes the development and quality of health data science research. We aim to create new interdisciplinary research synergies between health data science researchers, provide opportunities for education and training in data science, and ultimately facilitate the generation of new insights from large data sources to advance population health worldwide.
Featured Publications
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Nationwide estimation of daily ambient PM2.5 from 2008 to 2020 at 1 km2 in India using an ensemble approach
Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma Read more
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Opportunities to interrupt transmission of enteropathogens of poultry origin in Maputo, Mozambique: a transmission model analysis
Shioda K, Brouwer AF, Lamar F, Mucache HN, Levy K, Freeman MC. Opportunities to interrupt transmission of enteropathogens of poultry origin Read more
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Use of machine learning methods to understand discussions of female genital mutilation/cutting on social media
Babbs G, Weber SE, Abdalla SM, Cesare N, Nsoesie EO. Use of machine learning methods to understand discussions of female genital mutilation/cutting Read more
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Death by the minute: inequities in trauma care for victims of firearm violence
Poulson M, Jay J, Kenzik K, Torres C, Sanchez SE, Saillant N, Holena D, Galea S, Scantling D. Death by the minute: Read more
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Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: a population-based study
He Y, Martinez L, Ge Y, Feng Y, Chen Y, Tan J, Westbrook A, Li C, Cheng W, Ling F, Cheng Read more
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Tumor radiogenomics in gliomas with Bayesian layered variable selection
Mohammed S, Kurtek S, Bharath K, Rao A, Baladandayuthapani V. Tumor radiogenomics in gliomas with Bayesian layered variable selection. Med Image Anal. Read more
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Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release
Yamkovoy K, Patil P, Dunn D, Erdman E, Bernson D, Swathi PA, Nall SK, Zhang Y, Wang J, Brinkley-Rubinstein L, LeMasters Read more
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Target trial emulation for comparative effectiveness research with observational data: promise and challenges for studying medications for opioid use disorder
Christine PJ, Lodi S, Hsu HE, Bovell-Ammon B, Yan S, Bernson D, Novo P, Lee JD, Rotrosen J, Liebschutz J, Walley Read more
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Graph attention-based fusion of pathology images and gene expression for prediction of cancer survival
Zheng Y, Conrad RD, Green EJ, Burks EJ, Betke M, Beane JE, Kolachalama VB. Graph attention-based fusion of pathology images and gene Read more
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Challenges of COVID-19 case forecasting in the US, 2020-2021
Lopez VK, Cramer EY, Pagano R, Drake JM, O’Dea EB, Adee M, Ayer T, Chhatwal J, Dalgic OO, Ladd MA, Linas Read more