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John S. Brownstein
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2020 – today
- 2024
- [j31]Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein:
Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. npj Digit. Medicine 7(1) (2024) - 2023
- [i6]Marc Lipsitch, Mary T. Bassett, John S. Brownstein, Paul Elliott, David Eyre, M. Kate Grabowski, James A. Hay, Michael A. Johansson, Stephen M. Kissler, Daniel B. Larremore, Jennifer Layden, Justin Lessler, Ruth Lynfield, Duncan MacCannell, Lawrence C. Madoff, C. Jessica E. Metcalf, Lauren Ancel Meyers, Sylvia K. Ofori, Celia Quinn, Ana I. Ramos Bento, Nick Reich, Steven Riley, Roni Rosenfeld, Matthew H. Samore, Rangarajan Sampath, Rachel B. Slayton, David L. Swerdlow, Shaun Truelove, Jay K. Varma, Yonatan H. Grad:
Infectious disease surveillance needs for the United States: lessons from COVID-19. CoRR abs/2311.13724 (2023) - 2021
- [j30]Moritz U. G. Kraemer, Samuel V. Scarpino, Vukosi Marivate, Bernardo Gutierrez, Bo Xu, Graham Lee, Jared B. Hawkins, Caitlin M. Rivers, David M. Pigott, Rebecca Katz, John S. Brownstein:
Data curation during a pandemic and lessons learned from COVID-19. Nat. Comput. Sci. 1(1): 9-10 (2021) - [j29]Sangeeta Bhatia, Britta Lassmann, Emily Cohn, Angel N. Desai, Malwina Carrion, Moritz U. G. Kraemer, Mark Herringer, John S. Brownstein, Lawrence C. Madoff, Anne Cori, Pierre Nouvellet:
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. npj Digit. Medicine 4 (2021) - [j28]Yulin Hswen, Amanda Zhang, John S. Brownstein:
Estimating the incidence of cocaine use and mortality with music lyrics about cocaine. npj Digit. Medicine 4 (2021) - [j27]Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021) - [j26]Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge:
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics 25(7): 2374-2375 (2021) - [c13]Mandar Sharma, John S. Brownstein, Naren Ramakrishnan:
T3: Domain-Agnostic Neural Time-series Narration. ICDM 2021: 1324-1329 - [c12]John S. Brownstein:
Digital epidemiology and the COVID-19 pandemic. DigiBiom@MobiSys 2021: 55 - [i5]Mandar Sharma, John S. Brownstein, Naren Ramakrishnan:
TCube: Domain-Agnostic Neural Time-series Narration. CoRR abs/2110.05633 (2021) - 2020
- [j25]Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge:
Seven pillars of precision digital health and medicine. Artif. Intell. Medicine 103: 101793 (2020) - [j24]John S. Brownstein, Adam D. Nahari, Ben Y. Reis:
Internet search patterns reveal firearm sales, policies, and deaths. npj Digit. Medicine 3 (2020) - [j23]Adam Sadilek, Yulin Hswen, Shailesh Bavadekar, Tomer Shekel, John S. Brownstein, Evgeniy Gabrilovich:
Lymelight: forecasting Lyme disease risk using web search data. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2018
- [j22]Shannon Fast, Louis Kim, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Natasha Markuzon:
Predicting social response to infectious disease outbreaks from internet-based news streams. Ann. Oper. Res. 263(1-2): 551-564 (2018) - [j21]Moritz U. G. Kraemer, Donal Bisanzio, Robert C. Reiner Jr., Rubeena Zakar, Jared B. Hawkins, Clark C. Freifeld, David L. Smith, Simon I. Hay, John S. Brownstein, T. Alex Perkins:
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Sci. 7(1): 16 (2018) - [j20]Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
What to know before forecasting the flu. PLoS Comput. Biol. 14(10) (2018) - 2017
- [j19]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j18]Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana:
Advances in using Internet searches to track dengue. PLoS Comput. Biol. 13(7) (2017) - [j17]Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. 10(2): 136-150 (2017) - [c11]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD 2017: 1477-1485 - [i4]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR abs/1702.06663 (2017) - [i3]Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie:
Demographics in Social Media Data for Public Health Research: Does it matter? CoRR abs/1710.11048 (2017) - 2016
- [j16]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [j15]Jose L. Herrera, Ravi Srinivasan, John S. Brownstein, Alison P. Galvani, Lauren Ancel Meyers:
Disease Surveillance on Complex Social Networks. PLoS Comput. Biol. 12(7) (2016) - [c10]Guido Powell, Kate Zinszer, Jahnavi Dhananjay, Chi Bahk, Lawrence C. Madoff, John S. Brownstein, Sabine Bergler, David L. Buckeridge:
Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c9]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM 2016: 1129-1138 - [c8]Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez:
Session Introduction. PSB 2016: 468-479 - [e2]Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein:
World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-15, AAAI Press 2016 [contents] - [i2]Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR abs/1603.00106 (2016) - [i1]Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan:
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR abs/1606.00411 (2016) - 2015
- [j14]Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski:
Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 4(1): 17 (2015) - [j13]Naren Ramakrishnan, Chang-Tien Lu, Madhav V. Marathe, Achla Marathe, Anil Vullikanti, Stephen G. Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Maria Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak Gupta, David Mares:
Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 30(5): 86-90 (2015) - [j12]Effy Vayena, Marcel Salathé, Lawrence C. Madoff, John S. Brownstein:
Ethical Challenges of Big Data in Public Health. PLoS Comput. Biol. 11(2) (2015) - [j11]Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein:
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11(10) (2015) - [c7]Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan:
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD 2015: 1285-1294 - [c6]Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM 2015: 379-387 - [e1]Arash Shaban-Nejad, David L. Buckeridge, John S. Brownstein:
World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Technical Report WS-15-15, AAAI Press 2015 [contents] - 2014
- [j10]Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein:
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? Computer 47(4): 94-97 (2014) - [j9]David J. McIver, John S. Brownstein:
Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time. PLoS Comput. Biol. 10(4) (2014) - [c5]Jared B. Hawkins, Jane E. Huston, Florence T. Bourgeois, John S. Brownstein:
Thermia: Simplifying Childhood Fevers with Mobile Decision Support. AMIA 2014 - [c4]Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 2014: 262-270 - 2013
- [j8]Samir Bhatt, Peter W. Gething, Oliver J. Brady, Jane P. Messina, Andrew W. Farlow, Catherine L. Moyes, John M. Drake, John S. Brownstein, Anne Gatewood Hoen, Osman Sankoh, Monica F. Myers, Dylan B. George, Thomas Jaenisch, G. R. William Wint, Cameron P. Simmons, Thomas W. Scott, Jeremy J. Farrar, Simon I. Hay:
The global distribution and burden of dengue. Nat. 496(7446): 504-507 (2013) - [c3]Michael A. Johansson, Oktawia Wojcik, Rumi Chunara, Mark Smolinski, John S. Brownstein:
Participatory disease surveillance in Latin America. WWW (Companion Volume) 2013: 695-696 - 2012
- [j7]Taha A. Kass-Hout, David L. Buckeridge, John S. Brownstein, Zhiheng Xu, Paul McMurray, Charles K. T. Ishikawa, Julia E. Gunn, Barbara L. Massoudi:
Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. J. Am. Medical Informatics Assoc. 19(5): 775-776 (2012) - [j6]Taha A. Kass-Hout, Zhiheng Xu, Paul McMurray, Soyoun Park, David L. Buckeridge, John S. Brownstein, Lyn Finelli, Samuel L. Groseclose:
Application of change point analysis to daily influenza-like illness emergency department visits. J. Am. Medical Informatics Assoc. 19(6): 1075-1081 (2012) - [j5]Marcel Salathé, Linus Bengtsson, Todd J. Bodnar, Devon D. Brewer, John S. Brownstein, Caroline O. Buckee, Ellsworth M. Campbell, Ciro Cattuto, Shashank Khandelwal, Patricia L. Mabry, Alessandro Vespignani:
Digital Epidemiology. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j4]Timothy Driscoll, Joseph L. Gabbard, Chunhong Mao, Oral Dalay, Maulik Shukla, Clark C. Freifeld, Anne Gatewood Hoen, John S. Brownstein, Bruno W. S. Sobral:
Integration and visualization of host-pathogen data related to infectious diseases. Bioinform. 27(16): 2279-2287 (2011)
2000 – 2009
- 2009
- [j3]Mikaela Keller, Clark C. Freifeld, John S. Brownstein:
Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. 10: 385 (2009) - 2008
- [j2]Clark C. Freifeld, Kenneth D. Mandl, Ben Y. Reis, John S. Brownstein:
Model Formulation: HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports. J. Am. Medical Informatics Assoc. 15(2): 150-157 (2008) - 2007
- [j1]Shannon C. Wieland, John S. Brownstein, Bonnie Berger, Kenneth D. Mandl:
Automated real time constant-specificity surveillance for disease outbreaks. BMC Medical Informatics Decis. Mak. 7: 15 (2007) - 2006
- [c2]John S. Brownstein, Kenneth D. Mandl:
Reengineering Real Time Outbreak Detection Systems for Influenza Epidemic Monitoring. AMIA 2006 - 2005
- [c1]John S. Brownstein, Christopher A. Cassa, Isaac S. Kohane, Kenneth D. Mandl:
Reverse Geocoding: Concerns about Patient Confidentiality in the Display of Geospatial Health Data. AMIA 2005
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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