Mauricio Santillana Guzman

Assistant Professor





National Institutes of Health, National Institute of General Medical Sciences
People: Laura White, Ted Cohen, William Hanage, Rene Niehus, Ben Cowling, Tyler Brown, Joseph Wu, Mauricio Santillana Guzman, Joseph Lewnard, Aimee Taylor, Pablo Martinez de Salazar, Lerato Magosi, Edward Goldstein, Christine Tedijanto, Tigist Menkir, Sze Man Leung, Hsiao-Han Chang, Caroline Buckee, Pamela Martinez, Marc Lipsitch
2009 – 2020

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Dai M, Liu D, Liu M, Zhou F, Li G, Chen Z, Zhang Z, You H, Wu M, Zheng Q, Xiong Y, Xiong H, Wang C, Chen C, Xiong F, Zhang Y, Peng Y, Ge S, Zhen B, Yu T, Wang L, Wang H, Liu Y, Chen Y, Mei J, Gao X, Li Z, Gan L, He C, Li Z, Shi Y, Qi Y, Yang J, Tenen DG, Chai L, Mucci LA, Santillana M, Cai H. (2020). Patients with cancer appear more vulnerable to SARS-COV-2: a multi-center study during the COVID-19 outbreak. Cancer discovery

Chevalier-Cottin EP, Ashbaugh H, Brooke N, Gavazzi G, Santillana M, Burlet N, Tin Tin Htar M. (2020). Communicating Benefits from Vaccines Beyond Preventing Infectious Diseases. Infectious diseases and therapy

Buckee CO, Balsari S, Chan J, Crosas M, Dominici F, Gasser U, Grad YH, Grenfell B, Halloran ME, Kraemer MUG, Lipsitch M, Metcalf CJE, Meyers LA, Perkins TA, Santillana M, Scarpino SV, Viboud C, Wesolowski A, Schroeder A. (2020). Aggregated mobility data could help fight COVID-19. Science (New York, N.Y.)

Lu FS, Nguyen AT, Link NB, Lipsitch M, Santillana M. (2020). Estimating the Early Outbreak Cumulative Incidence of COVID-19 in the United States: Three Complementary Approaches. medRxiv : the preprint server for health sciences

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M. (2020). A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. ArXiv

Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, Floyd JR, Wesolowski A, Santillana M, Zhang C, Du X, Yu H, Tatem AJ. (2020). Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature

Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. (2019). Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR public health and surveillance, 5(4)

Lipsitch M, Santillana M. (2019). Enhancing Situational Awareness to Prevent Infectious Disease Outbreaks from Becoming Catastrophic. Current topics in microbiology and immunology

Clemente L, Lu F, Santillana M. (2019). Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. JMIR public health and surveillance, 5(2)

Naveca FG, Claro I, Giovanetti M, de Jesus JG, Xavier J, Iani FCM, do Nascimento VA, de Souza VC, Silveira PP, Lourenço J, Santillana M, Kraemer MUG, Quick J, Hill SC, Thézé J, Carvalho RDO, Azevedo V, Salles FCDS, Nunes MRT, Lemos PDS, Candido DDS, Pereira GC, Oliveira MAA, Meneses CAR, Maito RM, Cunha CRSB, Campos DPS, Castilho MDC, Siqueira TCDS, Terra TM, de Albuquerque CFC, da Cruz LN, Abreu AL, Martins DV, Simoes DSMV, Aguiar RS, Luz SLB, Loman N, Pybus OG, Sabino EC, Okumoto O, Alcantara LCJ, Faria NR. (2019). Genomic, epidemiological and digital surveillance of Chikungunya virus in the Brazilian Amazon. PLoS neglected tropical diseases, 13(3)

Lu FS, Hou S, Baltrusaitis K, Shah M, Leskovec J, Sosic R, Hawkins J, Brownstein J, Conidi G, Gunn J, Gray J, Zink A, Santillana M. (2018). Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR public health and surveillance, 4(1)

Majumder MS, Cohn EL, Santillana M, Brownstein JS. (2018). Estimation of Pneumonic Plague Transmission in Madagascar, August-November 2017. PLoS currents, (10)

MacFadden DR, McGough SF, Fisman D, Santillana M, Brownstein JS. (2018). Antibiotic Resistance Increases with Local Temperature. Nature climate change, 8(6)

Kluberg SA, McGinnis DP, Hswen Y, Majumder MS, Santillana M, Brownstein JS. (2017). County-level assessment of United States kindergarten vaccination rates for measles mumps rubella (MMR) for the 2014-2015 school year. Vaccine, 35(47)

Baltrusaitis K, Santillana M, Crawley AW, Chunara R, Smolinski M, Brownstein JS. (2017). Determinants of Participants' Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR public health and surveillance, 3(2)

Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR public health and surveillance, 3(4)

Yang S, Kou SC, Lu F, Brownstein JS, Brooke N, Santillana M. (2017). Advances in using Internet searches to track dengue. PLoS computational biology, 13(7)

Johansson MA, Reich NG, Hota A, Brownstein JS, Santillana M. (2016). Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico. Scientific reports, (6)

Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS. (2016). Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR public health and surveillance, 2(1)

Majumder MS, Kluberg S, Santillana M, Mekaru S, Brownstein JS. (2015). 2014 ebola outbreak: media events track changes in observed reproductive number. PLoS currents, (7)

Smolinski MS, Crawley AW, Baltrusaitis K, Chunara R, Olsen JM, Wójcik O, Santillana M, Nguyen A, Brownstein JS. (2015). Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. American journal of public health, 105(10)

Yang S, Santillana M, Kou SC. (2015). Accurate estimation of influenza epidemics using Google search data via ARGO. Proceedings of the National Academy of Sciences of the United States of America, 112(47)

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)

Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. (2014). A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. Journal of medical Internet research, 16(10)

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)

Gluskin RT, Johansson MA, Santillana M, Brownstein JS. (2014). Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS neglected tropical diseases, 8(2)