Elaine Nsoesie

Elaine O. Nsoesie, PhD, MS

Assistant Professor, Global Health - Boston University School of Public Health


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.

Other Positions

  • Founding Assistant Professor, Computing & Data Sciences Administration - Boston University
  • Member, Evans Center for Interdisciplinary Biomedical Research - Boston University


  • 2012 - Virginia Tech, PhD Field of Study: Genetics
  • 2008 - Virginia Tech, MS Field of Study: Statistics
  • 2007 - University of Maryland, BS Field of Study: Mathematics

Classes Taught

  • SPHPH795


  • Published on 12/15/2020

    Nsoesie EO, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. J Med Internet Res. 2020 12 15; 22(12):e24425. PMID: 33264102.

    Read At: PubMed
  • Published on 11/3/2020

    Jay J, Bor J, Nsoesie EO, Lipson SK, Jones DK, Galea S, Raifman J. Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States. Nat Hum Behav. 2020 12; 4(12):1294-1302. PMID: 33144713.

    Read At: PubMed
  • Published on 9/24/2020

    Zhao N, Charland K, Carabali M, Nsoesie EO, Maheu-Giroux M, Rees E, Yuan M, Garcia Balaguera C, Jaramillo Ramirez G, Zinszer K. Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. PLoS Negl Trop Dis. 2020 09; 14(9):e0008056. PMID: 32970674.

    Read At: PubMed
  • Published on 9/7/2020

    Nsoesie EO, Lima Neto AS, Jay J, Wang H, Zinszer K, Saha S, Maharana A, Marinho F, Soares Filho AM. Mapping disparities in homicide trends across Brazil: 2000-2014. Inj Epidemiol. 2020 Sep 07; 7(1):47. PMID: 32892747.

    Read At: PubMed
  • Published on 3/24/2020

    Nsoesie EO, Oladeji O, Sengeh MD. Digital platforms and non-communicable diseases in sub-Saharan Africa. Lancet Digit Health. 2020 04; 2(4):e158-e159. PMID: 33328075.

    Read At: PubMed
  • 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 09; 34(5):544-552. 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. 2020 02; 42:64-72.e3. PMID: 31902625.

    Read At: PubMed
  • Published on 9/17/2019

    Cesare N, Dwivedi P, Nguyen Q, Nsoesie EO. Use of Social Media, Search Queries, and Demographic Data to Assess Obesity Prevalence in the United States. Palgrave Commun. 2019; 5(1). PMID: 32661492.

    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

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