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Mauricio Santillana, Ph.D. - Publications

Affiliations: 
2008 Institute for Computational Engineering and Sciences University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Mathematics, Fluid and Plasma Physics
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31 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Koplewitz G, Lu F, Clemente L, Buckee C, Santillana M. Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil. Plos Neglected Tropical Diseases. 16: e0010071. PMID 35073316 DOI: 10.1371/journal.pntd.0010071  0.301
2020 Castiñeira D, Schlosser KR, Geva A, Rahmani AR, Fiore G, Walsh BK, Smallwood CD, Arnold JH, Santillana M. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respiratory Care. 65: 1367-1377. PMID 32879034 DOI: 10.4187/Respcare.07561  0.313
2020 Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana M. Real-time estimation of disease activity in emerging outbreaks using internet search information. Plos Computational Biology. 16: e1008117. PMID 32804932 DOI: 10.1371/Journal.Pcbi.1008117  0.384
2020 Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models. Journal of Medical Internet Research. PMID 32730217 DOI: 10.2196/20285  0.35
2020 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. Infectious Diseases and Therapy. PMID 32583334 DOI: 10.1007/S40121-020-00312-7  0.308
2020 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. PMID 32365354 DOI: 10.1038/S41586-020-2293-X  0.316
2019 Tideman S, Santillana M, Bickel J, Reis B. Internet search query data improve forecasts of daily emergency department volume. Journal of the American Medical Informatics Association : Jamia. 26: 1574-1583. PMID 31730701 DOI: 10.1093/Jamia/Ocz154  0.323
2019 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 and Surveillance. 5: e13403. PMID 31579019 DOI: 10.2196/13403  0.36
2019 Lipsitch M, Santillana M. Enhancing Situational Awareness to Prevent Infectious Disease Outbreaks from Becoming Catastrophic. Current Topics in Microbiology and Immunology. PMID 31292726 DOI: 10.1007/82_2019_172  0.319
2019 Clemente L, Lu F, Santillana M. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. Jmir Public Health and Surveillance. 5: e12214. PMID 30946017 DOI: 10.2196/12214  0.397
2019 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. Nature Communications. 10: 147. PMID 30635558 DOI: 10.1038/S41467-018-08082-0  0.387
2018 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. 3: 1-12. PMID 30839910 DOI: 10.1016/J.Idm.2018.03.001  0.318
2018 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 Infectious Diseases. 18: 403. PMID 30111305 DOI: 10.1186/S12879-018-3322-3  0.386
2018 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 and Surveillance. 4: e4. PMID 29317382 DOI: 10.2196/Publichealth.8950  0.38
2017 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 and Surveillance. 3: e83. PMID 29092812 DOI: 10.2196/Publichealth.7344  0.362
2017 Yang S, Kou SC, Lu F, Brownstein JS, Brooke N, Santillana M. Advances in using Internet searches to track dengue. Plos Computational Biology. 13: e1005607. PMID 28727821 DOI: 10.1371/Journal.Pcbi.1005607  0.38
2017 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 Infectious Diseases. 17: 332. PMID 28482810 DOI: 10.1186/S12879-017-2424-7  0.385
2017 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 and Surveillance. 3: e18. PMID 28389417 DOI: 10.2196/Publichealth.7304  0.311
2017 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 Neglected Tropical Diseases. 11: e0005295. PMID 28085877 DOI: 10.1371/Journal.Pntd.0005295  0.346
2016 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. Scientific Reports. 6: 33707. PMID 27665707 DOI: 10.1038/Srep33707  0.322
2016 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 and Surveillance. 2: e30. PMID 27251981 DOI: 10.2196/Publichealth.5814  0.354
2016 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. Scientific Reports. 6: 25732. PMID 27165494 DOI: 10.1038/Srep25732  0.365
2015 Yang S, Santillana M, Kou SC. Accurate estimation of influenza epidemics using Google search data via ARGO. Proceedings of the National Academy of Sciences of the United States of America. PMID 26553980 DOI: 10.1073/Pnas.1515373112  0.391
2015 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 Computational Biology. 11: e1004513. PMID 26513245 DOI: 10.1371/Journal.Pcbi.1004513  0.374
2015 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. American Journal of Public Health. 105: 2124-30. PMID 26270299 DOI: 10.2105/Ajph.2015.302696  0.342
2014 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. Journal of Medical Internet Research. 16: e236. PMID 25331122 DOI: 10.2196/Jmir.3416  0.342
2014 Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. Using clinicians' search query data to monitor influenza epidemics. Clinical Infectious Diseases : An Official Publication of the Infectious Diseases Society of America. 59: 1446-50. PMID 25115873 DOI: 10.1093/Cid/Ciu647  0.378
2014 Santillana M, Zhang DW, Althouse BM, Ayers JW. What can digital disease detection learn from (an external revision to) google flu trends? American Journal of Preventive Medicine. 47: 341-7. PMID 24997572 DOI: 10.1016/J.Amepre.2014.05.020  0.347
2014 Gluskin RT, Johansson MA, Santillana M, Brownstein JS. Evaluation of Internet-based dengue query data: Google Dengue Trends. Plos Neglected Tropical Diseases. 8: e2713. PMID 24587465 DOI: 10.1371/Journal.Pntd.0002713  0.392
2013 Gluskin RT, Santillana M, Brownstein JS. Using Google Dengue Trends to Estimate Climate Effects in Mexico Online Journal of Public Health Informatics. 5. DOI: 10.5210/Ojphi.V5I1.4584  0.314
2010 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. 199: 1424-1436. DOI: 10.1016/J.Cma.2009.11.016  0.506
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