John S. Brownstein

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 28

Top Topics

Automatic Extraction

Infectious Disease

Top Venues

PLoS Comput. Biol.

npj Digit. Medicine

Publications

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 (2023)
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)
John S. Brownstein
Digital epidemiology and the COVID-19 pandemic. DigiBiom@MobiSys (2021)
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) (2021)
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
TCube: Domain-Agnostic Neural Time-series Narration. CoRR (2021)
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)
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) (2021)
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
: Domain-Agnostic Neural Time-series Narration. ICDM (2021)
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)
John S. Brownstein, Adam D. Nahari, Ben Y. Reis
Internet search patterns reveal firearm sales, policies, and deaths. npj Digit. Medicine 3 (2020)
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)
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 (2020)
Moritz U. G. Kraemer, Donal Bisanzio, Robert C. Reiner Jr., R. 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) (2018)
Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
What to know before forecasting the flu. PLoS Comput. Biol. 14 (10) (2018)
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) (2018)
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 (2017)
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)
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)
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) (2017)
Nina 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 (2017)
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) (2017)
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM (2016)
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 J. Witbrock, Jie Zhang
Reports of the 2016 AAAI Workshop Program. AI Mag. 37 (3) (2016)
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR (2016)
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)
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 (2016)
Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez
Session Introduction. PSB (2016)
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)
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) (2015)
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)
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)
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)
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) (2015)
Effy Vayena, Marcel Salathé, Lawrence C. Madoff, John S. Brownstein
Ethical Challenges of Big Data in Public Health. PLoS Comput. Biol. 11 (2) (2015)
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) (2014)
Jared B. Hawkins, Jane E. Huston, Florence T. Bourgeois, John S. Brownstein
Thermia: Simplifying Childhood Fevers with Mobile Decision Support. AMIA (2014)
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)
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)
Michael A. Johansson, Oktawia Wojcik, Rumi Chunara, Mark Smolinski, John S. Brownstein
Participatory disease surveillance in Latin America. WWW (Companion Volume) (2013)
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) (2013)
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)
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) (2012)
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) (2012)
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) (2011)
Mikaela Keller, Clark C. Freifeld, John S. Brownstein
Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. 10 (2009)
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) (2008)
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 (2007)
John S. Brownstein, Kenneth D. Mandl
Reengineering Real Time Outbreak Detection Systems for Influenza Epidemic Monitoring. AMIA (2006)
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)