John S. Brownstein

53 papers A* 3A 3Misc 4Journal 38Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The substance-exposed birthing person-infant/child dyad and health information exchange in the United States. J. Am. Medical Informatics Assoc. Fabienne C. Bourgeois, Amrita Sinha, Gaurav Tuli, Marvin B. Harper, Virginia K. Robbins, Sydney Jeffrey, John S. Brownstein, Shahla M. Jilani
2024	J	`jnl`	Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. npj Digit. Medicine 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
2023	J	`jnl`	Infectious disease surveillance needs for the United States: lessons from COVID-19. CoRR 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
2021	J	`jnl`	Data curation during a pandemic and lessons learned from COVID-19. Nat. Comput. Sci. 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
2021	—	`conf`	Digital epidemiology and the COVID-19 pandemic. DigiBiom@MobiSys John S. Brownstein
2021	J	`jnl`	Estimating the incidence of cocaine use and mortality with music lyrics about cocaine. npj Digit. Medicine Yulin Hswen, Amanda Zhang, John S. Brownstein
2021	J	`jnl`	Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge
2021	J	`jnl`	Privacy-first health research with federated learning. npj Digit. Medicine 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
2021	A*	`conf`	T ICDM Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
2021	J	`jnl`	TCube: Domain-Agnostic Neural Time-series Narration. CoRR Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
2021	J	`jnl`	Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. npj Digit. Medicine 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
2020	J	`jnl`	Internet search patterns reveal firearm sales, policies, and deaths. npj Digit. Medicine John S. Brownstein, Adam D. Nahari, Ben Y. Reis
2020	J	`jnl`	Lymelight: forecasting Lyme disease risk using web search data. npj Digit. Medicine Adam Sadilek, Yulin Hswen, Shailesh Bavadekar, Tomer Shekel, John S. Brownstein, Evgeniy Gabrilovich
2020	J	`jnl`	Seven pillars of precision digital health and medicine. Artif. Intell. Medicine Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge
2018	J	`jnl`	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. 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
2018	J	`jnl`	Predicting social response to infectious disease outbreaks from internet-based news streams. Ann. Oper. Res. Shannon Fast, Louis Kim, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Natasha Markuzon
2018	J	`jnl`	What to know before forecasting the flu. PLoS Comput. Biol. Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	J	`jnl`	Advances in using Internet searches to track dengue. PLoS Comput. Biol. Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana
2017	J	`jnl`	Demographics in Social Media Data for Public Health Research: Does it matter? CoRR Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie
2017	J	`jnl`	Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2017	A*	`conf`	GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	J	`jnl`	Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
2017	J	`jnl`	Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 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
2016	A	`conf`	Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. CIKM Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
2016	J	`jnl`	Designing Domain Specific Word Embeddings: Applications to Disease Surveillance. CoRR Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan
2016	J	`jnl`	Disease Surveillance on Complex Social Networks. PLoS Comput. Biol. Jose L. Herrera, Ravi Srinivasan, John S. Brownstein, Alison P. Galvani, Lauren Ancel Meyers
2016	—	`conf`	Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. AAAI Workshop: WWW and Population Health Intelligence Guido Powell, Kate Zinszer, Jahnavi Dhananjay, Chi Bahk, Lawrence C. Madoff, John S. Brownstein, Sabine Bergler, David L. Buckeridge
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. 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
2016	Misc	`conf`	Session Introduction. PSB Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez
2016	J	`jnl`	Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
2016	—	`ed.`	World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: WWW and Population Health Intelligence Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein
2015	J	`jnl`	Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein
2015	A*	`conf`	Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. KDD Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
2015	J	`jnl`	Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. 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
2015	J	`jnl`	Ethical Challenges of Big Data in Public Health. PLoS Comput. Biol. Effy Vayena, Marcel Salathé, Lawrence C. Madoff, John S. Brownstein
2015	J	`jnl`	Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 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
2015	A	`conf`	SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2015	—	`ed.`	World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Workshop: WWW and Public Health Intelligence Arash Shaban-Nejad, David L. Buckeridge, John S. Brownstein
2014	A	`conf`	Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 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
2014	J	`jnl`	Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? Computer Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein
2014	Misc	`conf`	Thermia: Simplifying Childhood Fevers with Mobile Decision Support. AMIA Jared B. Hawkins, Jane E. Huston, Florence T. Bourgeois, John S. Brownstein
2014	J	`jnl`	Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time. PLoS Comput. Biol. David J. McIver, John S. Brownstein
2013	—	`conf`	Participatory disease surveillance in Latin America. WWW (Companion Volume) Michael A. Johansson, Oktawia Wojcik, Rumi Chunara, Mark Smolinski, John S. Brownstein
2013	J	`jnl`	The global distribution and burden of dengue. Nat. 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
2012	J	`jnl`	Application of change point analysis to daily influenza-like illness emergency department visits. J. Am. Medical Informatics Assoc. Taha A. Kass-Hout, Zhiheng Xu, Paul McMurray, Soyoun Park, David L. Buckeridge, John S. Brownstein, Lyn Finelli, Samuel L. Groseclose
2012	J	`jnl`	Digital Epidemiology. PLoS Comput. Biol. 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
2012	J	`jnl`	Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. J. Am. Medical Informatics Assoc. Taha A. Kass-Hout, David L. Buckeridge, John S. Brownstein, Zhiheng Xu, Paul McMurray, Charles K. T. Ishikawa, Julia E. Gunn, Barbara L. Massoudi
2011	J	`jnl`	Integration and visualization of host-pathogen data related to infectious diseases. Bioinform. Timothy Driscoll, Joseph L. Gabbard, Chunhong Mao, Oral Dalay, Maulik Shukla, Clark C. Freifeld, Anne Gatewood Hoen, John S. Brownstein, Bruno W. S. Sobral
2009	J	`jnl`	Automated vocabulary discovery for geo-parsing online epidemic intelligence. BMC Bioinform. Mikaela Keller, Clark C. Freifeld, John S. Brownstein
2008	J	`jnl`	Model Formulation: HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports. J. Am. Medical Informatics Assoc. Clark C. Freifeld, Kenneth D. Mandl, Ben Y. Reis, John S. Brownstein
2007	J	`jnl`	Automated real time constant-specificity surveillance for disease outbreaks. BMC Medical Informatics Decis. Mak. Shannon C. Wieland, John S. Brownstein, Bonnie Berger, Kenneth D. Mandl
2006	Misc	`conf`	Reengineering Real Time Outbreak Detection Systems for Influenza Epidemic Monitoring. AMIA John S. Brownstein, Kenneth D. Mandl
2005	Misc	`conf`	Reverse Geocoding: Concerns about Patient Confidentiality in the Display of Geospatial Health Data. AMIA John S. Brownstein, Christopher A. Cassa, Isaac S. Kohane, Kenneth D. Mandl