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Mauricio Santillana, Ph.D.

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Overview
My current research utilizes mathematical concepts of machine learning for:
(a) the design and implementation of novel ways to track epidemic outbreaks around the Globe in real-time, using data from: Google searches, Twitter microblogs, Electronic Health Records, and news reports, and
(b) to improve patient outcomes and reduce hospital costs in Critical Care Medicine.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Kogan NE, Clemente L, Liautaud P, Kaashoek J, Link NB, Nguyen AT, Lu FS, Huybers P, Resch B, Havas C, Petutschnig A, Davis J, Chinazzi M, Mustafa B, Hanage WP, Vespignani A, Santillana M. An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time. ArXiv. 2020 Jul 01. PMID: 32676518.
    Citations:    
  2. Chevalier-Cottin EP, Ashbaugh H, Brooke N, Gavazzi G, Santillana M, Burlet N, Tin Tin Htar M. Communicating Benefits from Vaccines Beyond Preventing Infectious Diseases. Infect Dis Ther. 2020 Jun 24. PMID: 32583334.
    Citations:    
  3. Lu FS, Nguyen AT, Link NB, Lipsitch M, Santillana M. Estimating the Early Outbreak Cumulative Incidence of COVID-19 in the United States: Three Complementary Approaches. medRxiv. 2020 Jun 18. PMID: 32587997.
    Citations:    
  4. Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, Floyd JR, Wesolowski A, Santillana M, Zhang C, Du X, Yu H, Tatem AJ. Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature. 2020 May 04. PMID: 32365354.
    Citations:    
  5. 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. Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak. Cancer Discov. 2020 06; 10(6):783-791. PMID: 32345594.
    Citations:    
  6. Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M. 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. 2020 Apr 08. PMID: 32550248.
    Citations:    
  7. 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. Aggregated mobility data could help fight COVID-19. Science. 2020 04 10; 368(6487):145-146. PMID: 32205458.
    Citations:    
  8. Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, Floyd JR, Wesolowski A, Santillana M, Zhang C, Du X, Yu H, Tatem AJ. Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China. medRxiv. 2020 Mar 06. PMID: 32511601.
    Citations:    
  9. Tideman S, Santillana M, Bickel J, Reis B. Internet search query data improve forecasts of daily emergency department volume. J Am Med Inform Assoc. 2019 12 01; 26(12):1574-1583. PMID: 31730701.
    Citations:    
  10. Schlosser KR, Fiore GA, Smallwood CD, Griffin JF, Geva A, Santillana M, Arnold JH. Noninvasive Ventilation Is Interrupted Frequently and Mostly Used at Night in the Pediatric Intensive Care Unit. Respir Care. 2020 Mar; 65(3):341-346. PMID: 31551282.
    Citations:    
  11. Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR Public Health Surveill. 2019 Sep 14; 5(4):e13403. PMID: 31579019.
    Citations:    
  12. Clemente L, Lu F, Santillana M. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. JMIR Public Health Surveill. 2019 Apr 04; 5(2):e12214. PMID: 30946017.
    Citations:    
  13. 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. Genomic, epidemiological and digital surveillance of Chikungunya virus in the Brazilian Amazon. PLoS Negl Trop Dis. 2019 03; 13(3):e0007065. PMID: 30845267.
    Citations:    
  14. Lu FS, Hattab MW, Clemente CL, Biggerstaff M, Santillana M. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Nat Commun. 2019 01 11; 10(1):147. PMID: 30635558.
    Citations:    Fields:    
  15. Lipsitch M, Santillana M. Enhancing Situational Awareness to Prevent Infectious Disease Outbreaks from Becoming Catastrophic. Curr Top Microbiol Immunol. 2019; 424:59-74. PMID: 31292726.
    Citations:    
  16. Majumder MS, Cohn EL, Santillana M, Brownstein JS. Estimation of Pneumonic Plague Transmission in Madagascar, August-November 2017. PLoS Curr. 2018 Nov 01; 10. PMID: 30450266.
    Citations:    
  17. Baltrusaitis K, Brownstein JS, Scarpino SV, Bakota E, Crawley AW, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infect Dis. 2018 08 15; 18(1):403. PMID: 30111305.
    Citations: 1     Fields:    
  18. Santillana M, Tuite A, Nasserie T, Fine P, Champredon D, Chindelevitch L, Dushoff J, Fisman D. . Relatedness of the Incidence Decay with Exponential Adjustment (IDEA) Model," Farr's Law" and SIR Compartmental Difference Equation Models. Infectious Disease Modelling. 2018; 3(1):1-12. View Publication.
  19. MacFadden DR, McGough SF, Fisman D, Santillana M, Brownstein JS. Antibiotic Resistance Increases with Local Temperature. Nature Climate Change. 2018; (8):510-514. View Publication.
  20. MacFadden DR, McGough SF, Fisman D, Santillana M, Brownstein JS. Antibiotic Resistance Increases with Local Temperature. Nat Clim Chang. 2018 Jun; 8(6):510-514. PMID: 30369964.
    Citations:    
  21. Santillana M, Tuite A, Nasserie T, Fine P, Champredon D, Chindelevitch L, Dushoff J, Fisman D. Relatedness of the incidence decay with exponential adjustment (IDEA) model, "Farr's law" and SIR compartmental difference equation models. Infect Dis Model. 2018; 3:1-12. PMID: 30839910.
    Citations:    
  22. 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. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health Surveill. 2018 Jan 09; 4(1):e4. PMID: 29317382.
    Citations: 2     
  23. 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. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health Surveill. 2017 Nov 01; 3(4):e83. PMID: 29092812.
    Citations: 2     
  24. Kluberg SA, McGinnis DP, Hswen Y, Majumder MS, Santillana M, Brownstein JS. County-level assessment of United States kindergarten vaccination rates for measles mumps rubella (MMR) for the 2014-2015 school year. Vaccine. 2017 11 07; 35(47):6444-6450. PMID: 29037574.
    Citations:    Fields:    Translation:Humans
  25. Yang S, Kou SC, Lu F, Brownstein JS, Brooke N, Santillana M. Advances in using Internet searches to track dengue. PLoS Comput Biol. 2017 Jul; 13(7):e1005607. PMID: 28727821.
    Citations: 1     Fields:    Translation:HumansPHPublic Health
  26. Yang S, Santillana M, Brownstein JS, Gray J, Richardson S, Kou SC. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017 05 08; 17(1):332. PMID: 28482810.
    Citations: 6     Fields:    Translation:HumansPHPublic Health
  27. Baltrusaitis K, Santillana M, Crawley AW, Chunara R, Smolinski M, Brownstein JS. Determinants of Participants' Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR Public Health Surveill. 2017 Apr 07; 3(2):e18. PMID: 28389417.
    Citations: 5     
  28. McGough SF, Brownstein JS, Hawkins JB, Santillana M. Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data. PLoS Negl Trop Dis. 2017 01; 11(1):e0005295. PMID: 28085877.
    Citations: 9     Fields:    Translation:HumansCellsPHPublic Health
  29. Schlosser K, Smallwood C, Arnold J, Lee G, Priebe G, Walsh B, Santillana M. 1015: IDENTIFICATION OF PEDIATRIC VENTILATOR-ASSOCIATED CONDITIONS USING CONTINUOUS VENTILATOR DATA. Crit Care Med. 2016 Dec; 44(12 Suppl 1):330. PMID: 27850653.
    Citations:    
  30. Smallwood C, Walsh B, Rettig J, Thompson J, Santillana M, Arnold J. 955: A MACHINE-LEARNING ALGORITHM FOR OXYGENATION RESPONSE PREDICTION IN MECHANICALLY VENTILATED CHILDREN. Crit Care Med. 2016 Dec; 44(12 Suppl 1):315. PMID: 27850593.
    Citations:    
  31. Walsh B, Smallwood C, Rettig J, Santillana M, Arnold J. 949: DEVELOPMENT OF HEART, RESPIRATORY RATE, AND OXYGEN SATURATION PERCENTILE CURVES IN CHILDREN. Crit Care Med. 2016 Dec; 44(12 Suppl 1):313. PMID: 27850587.
    Citations:    
  32. Santillana M. Editorial Commentary: Perspectives on the Future of Internet Search Engines and Biosurveillance Systems. Clin Infect Dis. 2017 01 01; 64(1):42-43. PMID: 27678086.
    Citations: 1     Fields:    Translation:HumansPHPublic Health
  33. Johansson MA, Reich NG, Hota A, Brownstein JS, Santillana M. Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico. Sci Rep. 2016 Sep 26; 6:33707. PMID: 27665707.
    Citations: 8     Fields:    
  34. Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR Public Health Surveill. 2016 Jun 01; 2(1):e30. PMID: 27251981.
    Citations: 13     
  35. Santillana M, Nguyen AT, Louie T, Zink A, Gray J, Sung I, Brownstein JS. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016 05 11; 6:25732. PMID: 27165494.
    Citations: 8     Fields:    Translation:HumansPHPublic Health
  36. Yang S, Santillana M, Kou SC. Accurate estimation of influenza epidemics using Google search data via ARGO. Proc Natl Acad Sci U S A. 2015 Nov 24; 112(47):14473-8. PMID: 26553980.
    Citations: 20     Fields:    Translation:HumansPHPublic Health
  37. Santillana M, Nguyen AT, Dredze M, Paul MJ, Nsoesie EO, Brownstein JS. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput Biol. 2015 Oct; 11(10):e1004513. PMID: 26513245.
    Citations: 34     Fields:    Translation:HumansPHPublic Health
  38. Smolinski MS, Crawley AW, Baltrusaitis K, Chunara R, Olsen JM, Wójcik O, Santillana M, Nguyen A, Brownstein JS. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. Am J Public Health. 2015 Oct; 105(10):2124-30. PMID: 26270299.
    Citations: 21     Fields:    Translation:HumansPHPublic Health
  39. Majumder MS, Kluberg S, Santillana M, Mekaru S, Brownstein JS. 2014 ebola outbreak: media events track changes in observed reproductive number. PLoS Curr. 2015 Apr 28; 7. PMID: 25992303.
    Citations: 9     
  40. Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. J Med Internet Res. 2014 Oct 20; 16(10):e236. PMID: 25331122.
    Citations: 19     Fields:    Translation:HumansPHPublic Health
  41. Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis. 2014 Nov 15; 59(10):1446-50. PMID: 25115873.
    Citations: 15     Fields:    Translation:HumansPHPublic Health
  42. Santillana M, Zhang DW, Althouse BM, Ayers JW. What can digital disease detection learn from (an external revision to) Google Flu Trends? Am J Prev Med. 2014 Sep; 47(3):341-7. PMID: 24997572.
    Citations: 40     Fields:    Translation:HumansCellsPHPublic Health
  43. Gluskin RT, Johansson MA, Santillana M, Brownstein JS. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis. 2014 Feb; 8(2):e2713. PMID: 24587465.
    Citations: 18     Fields:    Translation:HumansPHPublic Health
  44. Calo VM, Collier N, Gehre M, Jin B, Radwan H, Santillana M. Gradient-based estimation of Manning’s friction coefficient from noisy data. Journal of Computational and Applied Mathematics. 2013; (238):1–13. View Publication.
  45. Santillana M. Quantifying the loss of information in source attribution problems using the adjoint method in global models of atmospheric chemical transport. arXiv preprint arXiv:1311.6315. 2013. View Publication.
  46. Santillana M, Dawson C. A numerical approach to study the properties of solutions of the diffusive wave approximation of the shallow water equations. Computational Geosciences. 2010; 1(14):31-53. View Publication.
  47. Santillana M, Dawson C. A local discontinuous Galerkin method for a doubly nonlinear diffusion equation arising in shallow water modeling. Computer Methods in Applied Mechanics and Engineering. 2010; 23(199):1424–1436.. View Publication.
  48. Zhan BF, Tapia Silva FO, Santillana M. Estimating small-area population growth using geographic-knowledge-guided cellular automata. International Journal of Remote Sensing. 2010; 21(31):5689–5707. View Publication.
  49. Santillana M, Le Sager P, Jacob DJ, Brenner MP. An adaptive reduction algorithm for efficient chemical calculations in global atmospheric chemistry models. Atmospheric Environment. 2010; 35(44):4426–4431. View Publication.
  50. Alonso R, Santillana M, Dawson C. On the diffusive wave approximation of the shallow water equations. European Journal of Applied Mathematics. 2008; 05(19):575–606. View Publication.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.