Elaine O. Nsoesie, PhD, MS

Assistant Professor, Global Health
Elaine Nsoesie
617-358-3120onelaine@bu.edu
Crosstown Center
View full profile at BUMC

Biography

Dr. Nsoesie applies data science methodologies to global health problems, using digital data and technology to improve health, particularly in the realm of surveillance of chronic and infectious diseases. She has also been appointed as a BU Data Science Faculty Fellow, as part of the BU Data Science Initiative at the Hariri Institute for Computing. The Data Science Faculty Fellows program assembles a cluster of uniquely talented faculty whose expertise transcends traditional disciplinary boundaries to enable fundamental advances in data science. Dr. Nsoesie completed her PhD in Computational Epidemiology from the Genetics, Bioinformatics and Computational Biology program at Virginia Tech, and her PhD dissertation, Sensitivity Analysis and Forecasting in Network Epidemiology Models, at the Network Dynamics and Simulations Science Lab at Virginia Tech BioComplexity Institute. After postdoctoral associate positions at Harvard Medical School and Boston Children’s Hospital, Dr. Nsoesie joined the faculty of the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.

Education

  • Virginia Tech, PhD
  • Virginia Tech, MS
  • University of Maryland, BS

Publications

  • Published on 1/8/2020

    Cesare N, Oladeji O, Ferryman K, Wijaya D, Hendricks-Muñoz KD, Ward A, Nsoesie EO. Discussions of miscarriage and preterm births on Twitter. Paediatr Perinat Epidemiol. 2020 Jan 08. PMID: 31912544.

    Read at: PubMed
  • Published on 11/6/2019

    Parpia AS, Skrip LA, Nsoesie EO, Ngwa MC, Abah Abah AS, Galvani AP, Ndeffo-Mbah ML. Spatio-temporal dynamics of measles outbreaks in Cameroon. Ann Epidemiol. 2019 Nov 06. PMID: 31902625.

    Read at: PubMed
  • Published on 8/5/2019

    Maharana A, Cai K, Hellerstein J, Hswen Y, Munsell M, Staneva V, Verma M, Vint C, Wijaya D, Nsoesie EO. Detecting reports of unsafe foods in consumer product reviews. JAMIA Open. 2019 Oct; 2(3):330-338. PMID: 31984365.

    Read at: PubMed
  • Published on 7/14/2019

    Cesare N, Nguyen QC, Grant C, Nsoesie EO. Social media captures demographic and regional physical activity. BMJ Open Sport Exerc Med. 2019; 5(1):e000567. PMID: 31423323.

    Read at: PubMed
  • Published on 1/1/2019

    Maharana A, Cai K, Hellerstein J, Hswen Y, Munsell M, Staneva V, Verma M, Vint C, Wijaya D, Nsoesie EO . Detecting Reports of Unsafe Foods in Consumer Product Reviews. JAMIA Open. 2019; (ooz030):https://doi.org/10.1093/jamiao.

  • Published on 1/1/2019

    Jalal M, Wang K, Jefferson S, Zheng Y, Nsoesie EO, and Betke M. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. In Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management. 2019; 50-59.

    Read at: Custom
  • Published on 1/1/2019

    Cesare, N., Dwivedi, P., Nguyen, Q.C. and Nsoesie, E.O. Use of social media, search queries, and demographic data to assess obesity prevalence in the United States. Palgrave Communications. 2019; 1(5):1-9.

  • Published on 11/10/2018

    Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1859-1922. PMID: 30415748.

    Read at: PubMed
  • Published on 11/8/2018

    Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1923-1994. PMID: 30496105.

    Read at: PubMed
  • Published on 11/8/2018

    Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 11 10; 392(10159):1789-1858. PMID: 30496104.

    Read at: PubMed

View 39 more publications:View full profile at BUMC

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