Elaine Nsoesie

Assistant Professor




Preferred Pronouns

Personal Academic Website

Research/Topics of Interest

Pathogens/Diseases of Main Interest/Expertise

Countries of Work/Collaboration



Tizzoni M, Nsoesie EO, Gauvin L, Karsai M, Perra N, Bansal S. (2022). Addressing the socioeconomic divide in computational modeling for infectious diseases. Nature communications, 13(1)

Nsoesie EO, Vu C. (2022). Monkeypox: Where are the racial disparities?. Lancet Regional Health. Americas

Hernandez MA, Modi S, Mittal K, Dwivedi P, Nguyen QC, Cesare NL, Nsoesie EO. (2022). Diet During the COVID-19 Pandemic: An Analysis of Twitter Data. Patterns (New York, N.Y.)

Ghassemi M, Nsoesie EO. (2022). In medicine, how do we machine learn anything real?. Patterns (New York, N.Y.), 3(1)

Reyna MA, Nsoesie EO, Clifford GD. (2022). Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine. JAMA

Abdalla SM, Hernandez M, Fazaludeen Koya S, Rosenberg SB, Robbins G, Magana L, Nsoesie EO, Sabin L, Galea S. (2022). What matters for health? Public views from eight countries. BMJ global health, 7(6)

Holtzman GS, A Khoshkhoo N, Nsoesie EO. (2022). The Racial Data Gap: Lack of Racial Data as a Barrier to Overcoming Structural Racism. The American journal of bioethics : AJOB, 22(3)

Oladeji O, Zhang C, Moradi T, Tarapore D, Stokes AC, Marivate V, Sengeh MD, Nsoesie EO. (2021). Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study. JMIR public health and surveillance, 7(4)

Nsoesie EO, Oladeji O, Abah ASA, Ndeffo-Mbah ML. (2021). Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific reports, 11(1)

Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie EO, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein JS, Arcas BAY, Howell MD, Hernandez J. (2021). Privacy-first health research with federated learning. NPJ digital medicine, 4(1)

Maharana A, Amutorine M, Sengeh MD, Nsoesie EO. (2021). COVID-19 and beyond: Use of digital technology for pandemic response in Africa. Scientific African, (14)

Nsoesie EO, Cesare N, Müller M, Ozonoff A. (2020). Characterizing the Spread of COVID-19 Misinformation in Eight Countries Using Exponential Growth Models. Journal of medical Internet research

Zhao N, Charland K, Carabali M, Nsoesie EO, Maheu-Giroux M, Rees E, Yuan M, Garcia Balaguera C, Jaramillo Ramirez G, Zinszer K. (2020). 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 neglected tropical diseases, 14(9)

Cesare N, Oladeji O, Ferryman K, Wijaya D, Hendricks-Muñoz KD, Ward A, Nsoesie EO. (2020). Discussions of miscarriage and preterm births on Twitter. Paediatric and perinatal epidemiology

Parpia AS, Skrip LA, Nsoesie EO, Ngwa MC, Abah Abah AS, Galvani AP, Ndeffo-Mbah ML. (2020). Spatio-temporal dynamics of measles outbreaks in Cameroon. Annals of epidemiology, (42)

Nsoesie EO, Lima Neto AS, Jay J, Wang H, Zinszer K, Saha S, Maharana A, Marinho F, Soares Filho AM. (2020). Mapping disparities in homicide trends across Brazil: 2000-2014. Injury epidemiology, 7(1)

Jay J, Bor J, Nsoesie EO, Lipson SK, Jones DK, Galea S, Raifman J. (2020). Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States. Nature human behaviour

Nsoesie EO, Oladeji O, Sengeh MD. (2020). Digital platforms and non-communicable diseases in sub-Saharan Africa. The Lancet. Digital health, 2(4)

Cesare N, Nguyen QC, Grant C, Nsoesie EO. (2019). Social media captures demographic and regional physical activity. BMJ open sport & exercise medicine, 5(1)

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

Maharana A, Cai K, Hellerstein J, Hswen Y, Munsell M, Staneva V, Verma M, Vint C, Wijaya D, Nsoesie EO. (2019). Detecting reports of unsafe foods in consumer product reviews. JAMIA open, 2(3)

Harris JK, Hinyard L, Beatty K, Hawkins JB, Nsoesie EO, Mansour R, Brownstein JS. (2018). Evaluating the Implementation of a Twitter-Based Foodborne Illness Reporting Tool in the City of St. Louis Department of Health. International journal of environmental research and public health, 15(5)

Mokdad AH, Ballestros K, Echko M, Glenn S, Olsen HE, Mullany E, Lee A, Khan AR, Ahmadi A, Ferrari AJ, Kasaeian A, Werdecker A, Carter A, Zipkin B, Sartorius B, Serdar B, Sykes BL, Troeger C, Fitzmaurice C, Rehm CD, Santomauro D, Kim D, Colombara D, Schwebel DC, Tsoi D, Kolte D, Nsoesie E, Nichols E, Oren E, Charlson FJ, Patton GC, Roth GA, Hosgood HD, Whiteford HA, Kyu H, Erskine HE, Huang H, Martopullo I, Singh JA, Nachega JB, Sanabria JR, Abbas K, Ong K, Tabb K, Krohn KJ, Cornaby L, Degenhardt L, Moses M, Farvid M, Griswold M, Criqui M, Bell M, Nguyen M, Wallin M, Mirarefin M, Qorbani M, Younis M, Fullman N, Liu P, Briant P, Gona P, Havmoller R, Leung R, Kimokoti R, Bazargan-Hejazi S, Hay SI, Yadgir S, Biryukov S, Vollset SE, Alam T, Frank T, Farid T, Miller T, Vos T, Bärnighausen T, Gebrehiwot TT, Yano Y, Al-Aly Z, Mehari A, Handal A, Kandel A, Anderson B, Biroscak B, Mozaffarian D, Dorsey ER, Ding EL, Park EK, Wagner G, Hu G, Chen H, Sunshine JE, Khubchandani J, Leasher J, Leung J, Salomon J, Unutzer J, Cahill L, Cooper L, Horino M, Brauer M, Breitborde N, Hotez P, Topor-Madry R, Soneji S, Stranges S, James S, Amrock S, Jayaraman S, Patel T, Akinyemiju T, Skirbekk V, Kinfu Y, Bhutta Z, Jonas JB, Murray CJL. (2018). The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States. JAMA, 319(14)

Nsoesie EO. (2018). Evaluating Artificial Intelligence Applications in Clinical Settings. JAMA network open, 1(5)

Maharana A, Nsoesie EO. (2018). Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity. JAMA network open, 1(4)

Henly S, Tuli G, Kluberg SA, Hawkins JB, Nguyen QC, Anema A, Maharana A, Brownstein JS, Nsoesie EO. (2017). Disparities in digital reporting of illness: A demographic and socioeconomic assessment. Preventive medicine, (101)

Ghosh S, Chakraborty P, Nsoesie EO, Cohn E, Mekaru SR, Brownstein JS, Ramakrishnan N. (2017). Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Scientific reports, (7)

Harris JK, Hawkins JB, Nguyen L, Nsoesie EO, Tuli G, Mansour R, Brownstein JS. (2017). Using Twitter to Identify and Respond to Food Poisoning: The Food Safety STL Project. Journal of public health management and practice : JPHMP, 23(6)

Quade P, Nsoesie EO. (2017). A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports. JMIR public health and surveillance, 3(3)

Kraemer MUG, Faria NR, Reiner RC Jr., Golding N, Nikolay B, Stasse S, Johansson MA, Salje H, Faye O, Wint GRW, Niedrig M, Shearer FM, Hill SC, Thompson RN, Bisanzio D, Taveira N, Nax HH, Pradelski BSR, Nsoesie EO, Murphy NR, Bogoch II, Khan K, Brownstein JS, Tatem AJ, de Oliveira T, Smith DL, Sall AA, Pybus OG, Hay SI, Cauchemez S. (2017). Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study. The Lancet. Infectious diseases, 17(3)

Nsoesie EO, Kraemer MU, Golding N, Pigott DM, Brady OJ, Moyes CL, Johansson MA, Gething PW, Velayudhan R, Khan K, Hay SI, Brownstein JS. (2016). Global distribution and environmental suitability for chikungunya virus, 1952 to 2015. Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 21(20)

Zinszer K, Morrison K, Brownstein JS, Marinho F, Santos AF, Nsoesie EO. (2017). Reconstruction of Zika Virus Introduction in Brazil. Emerging infectious diseases, 23(1)

Nsoesie EO, Flor L, Hawkins J, Maharana A, Skotnes T, Marinho F, Brownstein JS. (2016). Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It?. PLoS currents, (8)

Ndeffo-Mbah ML, Durham DP, Skrip LA, Nsoesie EO, Brownstein JS, Fish D, Galvani AP. (2016). Evaluating the effectiveness of localized control strategies to curtail chikungunya. Scientific reports, (6)

Hawkins JB, Brownstein JS, Tuli G, Runels T, Broecker K, Nsoesie EO, McIver DJ, Rozenblum R, Wright A, Bourgeois FT, Greaves F. (2016). Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ quality & safety, 25(6)

Nsoesie EO, Ricketts RP, Brown HE, Fish D, Durham DP, Ndeffo Mbah ML, Christian T, Ahmed S, Marcellin C, Shelly E, Owers K, Wenzel N, Galvani AP, Brownstein JS. (2015). Spatial and Temporal Clustering of Chikungunya Virus Transmission in Dominica. PLoS neglected tropical diseases, 9(8)

Nsoesie EO, Butler P, Ramakrishnan N, Mekaru SR, Brownstein JS. (2015). Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Scientific reports, (5)

Nsoesie EO, Brownstein JS. (2015). Computational approaches to influenza surveillance: beyond timeliness. Cell host & microbe, 17(3)

Althouse BM, Scarpino SV, Meyers LA, Ayers JW, Bargsten M, Baumbach J, Brownstein JS, Castro L, Clapham H, Cummings DA, Del Valle S, Eubank S, Fairchild G, Finelli L, Generous N, George D, Harper DR, Hébert-Dufresne L, Johansson MA, Konty K, Lipsitch M, Milinovich G, Miller JD, Nsoesie EO, Olson DR, Paul M, Polgreen PM, Priedhorsky R, Read JM, Rodriguez-Barraquer I, Smith DJ, Stefansen C, Swerdlow DL, Thompson D, Vespignani A, Wesolowski A. (2015). Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ data science, (4)

Santillana M, Nguyen AT, Dredze M, Paul MJ, Nsoesie EO, Brownstein JS. (2015). Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS computational biology, 11(10)

Nsoesie EO, Buckeridge DL, Brownstein JS. (2014). Guess who's not coming to dinner? Evaluating online restaurant reservations for disease surveillance. Journal of medical Internet research, 16(1)

Nsoesie EO, Kluberg SA, Brownstein JS. (2014). Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports. Preventive medicine, (67)

Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. (2014). Using clinicians' search query data to monitor influenza epidemics. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 59(10)

Nsoesie EO, Leman SC, Marathe MV. (2014). A Dirichlet process model for classifying and forecasting epidemic curves. BMC infectious diseases, (14)

Nsoesie EO, Mekaru SR, Ramakrishnan N, Marathe MV, Brownstein JS. (2014). Modeling to predict cases of hantavirus pulmonary syndrome in Chile. PLoS neglected tropical diseases, 8(4)

Nsoesie EO, Brownstein JS, Ramakrishnan N, Marathe MV. (2014). A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza and other respiratory viruses, 8(3)

Yuan Q, Nsoesie EO, Lv B, Peng G, Chunara R, Brownstein JS. (2013). Monitoring influenza epidemics in china with search query from baidu. PLoS One, 8(5)

Nsoesie EO, Beckman RJ, Shashaani S, Nagaraj KS, Marathe MV. (2013). A Simulation Optimization Approach to Epidemic Forecasting. PLoS One, 8(6)

Nsoesie E, Mararthe M, Brownstein J. (2013). Forecasting peaks of seasonal influenza epidemics. PLoS currents, (5)

Nsoesie EO, Beckman RJ, Marathe MV. (2012). Sensitivity analysis of an individual-based model for simulation of influenza epidemics. PLoS One, 7(10)

Nsoesie EO, Beckman R, Marathe M, Lewis B. (2011). Prediction of an Epidemic Curve: A Supervised Classification Approach. Statistical communications in infectious diseases, 3(1)

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