Elaine Nsoesie

Assistant Professor





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

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

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)

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)

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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