John S. Brownstein

According to our database, John S. Brownstein authored at least 47 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare.

Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge

IEEE J. Biomed. Health Informatics, 2021

Privacy-first health research with federated learning.

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

npj Digit. Medicine, 2021

Estimating the incidence of cocaine use and mortality with music lyrics about cocaine.

Yulin Hswen, Amanda Zhang, John S. Brownstein

npj Digit. Medicine, 2021

Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread.

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

npj Digit. Medicine, 2021

TCube: Domain-Agnostic Neural Time-series Narration.

Mandar Sharma, John S. Brownstein, Naren Ramakrishnan

CoRR, 2021

Digital epidemiology and the COVID-19 pandemic.

John S. Brownstein

Proceedings of the DigiBiom@MobiSys '21: Proceedings of the 2021 Workshop on Future of Digital Biomarkers, 2021

T³: Domain-Agnostic Neural Time-series Narration.

Mandar Sharma, John S. Brownstein, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Lymelight: forecasting Lyme disease risk using web search data.

Adam Sadilek, Yulin Hswen, Shailesh Bavadekar, Tomer Shekel, John S. Brownstein, Evgeniy Gabrilovich

npj Digit. Medicine, 2020

Internet search patterns reveal firearm sales, policies, and deaths.

John S. Brownstein, Adam D. Nahari, Ben Y. Reis

npj Digit. Medicine, 2020

Seven pillars of precision digital health and medicine.

Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge

Artif. Intell. Medicine, 2020

2018

What to know before forecasting the flu.

Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

PLoS Comput. Biol., 2018

Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan.

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

EPJ Data Sci., 2018

Predicting social response to infectious disease outbreaks from internet-based news streams.

Shannon Fast, Louis Kim, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Natasha Markuzon

Ann. Oper. Res., 2018

2017

Forecasting rare disease outbreaks from open source indicators.

Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan

Stat. Anal. Data Min., 2017

Advances in using Internet searches to track dengue.

Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana

PLoS Comput. Biol., 2017

Demographics in Social Media Data for Public Health Research: Does it matter?

Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie

CoRR, 2017

Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources.

Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

CoRR, 2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.

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

AI Mag., 2017

GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources.

Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Disease Surveillance on Complex Social Networks.

Jose L. Herrera, Ravi Srinivasan, John S. Brownstein, Alison P. Galvani, Lauren Ancel Meyers

PLoS Comput. Biol., 2016

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks.

Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan

CoRR, 2016

Designing Domain Specific Word Embeddings: Applications to Disease Surveillance.

Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan

CoRR, 2016

Reports of the 2016 AAAI Workshop Program.

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

AI Mag., 2016

Session Introduction.

Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach.

Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter.

Guido Powell, Kate Zinszer, Jahnavi Dhananjay, Chi Bahk, Lawrence C. Madoff, John S. Brownstein, Sabine Bergler, David L. Buckeridge

Proceedings of the World Wide Web and Population Health Intelligence, 2016

2015

Ethical Challenges of Big Data in Public Health.

Effy Vayena, Marcel Salathé, Lawrence C. Madoff, John S. Brownstein

PLoS Comput. Biol., 2015

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein

PLoS Comput. Biol., 2015

Model-Based Forecasting of Significant Societal Events.

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

IEEE Intell. Syst., 2015

Enhancing disease surveillance with novel data streams: challenges and opportunities.

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

EPJ Data Sci., 2015

SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.

Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction.

Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time.

David J. McIver, John S. Brownstein

PLoS Comput. Biol., 2014

Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?

Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein

Computer, 2014

Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions.

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

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Thermia: Simplifying Childhood Fevers with Mobile Decision Support.

Jared B. Hawkins, Jane E. Huston, Florence T. Bourgeois, John S. Brownstein

Proceedings of the AMIA 2014, 2014

2013

The global distribution and burden of dengue.

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

Nat., 2013

Participatory disease surveillance in Latin America.

Michael A. Johansson, Oktawia Wojcik, Rumi Chunara, Mark Smolinski, John S. Brownstein

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

Digital Epidemiology.

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

PLoS Comput. Biol., 2012

Application of change point analysis to daily influenza-like illness emergency department visits.

Taha A. Kass-Hout, Zhiheng Xu, Paul McMurray, Soyoun Park, David L. Buckeridge, John S. Brownstein, Lyn Finelli, Samuel L. Groseclose

J. Am. Medical Informatics Assoc., 2012

Self-reported fever and measured temperature in emergency department records used for syndromic surveillance.

Taha A. Kass-Hout, David L. Buckeridge, John S. Brownstein, Zhiheng Xu, Paul McMurray, Charles K. T. Ishikawa, Julia E. Gunn, Barbara L. Massoudi

J. Am. Medical Informatics Assoc., 2012

2011

Integration and visualization of host-pathogen data related to infectious diseases.

Timothy Driscoll, Joseph L. Gabbard, Chunhong Mao, Oral Dalay, Maulik Shukla, Clark C. Freifeld, Anne Gatewood Hoen, John S. Brownstein, Bruno W. S. Sobral

Bioinform., 2011

2009

Automated vocabulary discovery for geo-parsing online epidemic intelligence.

Mikaela Keller, Clark C. Freifeld, John S. Brownstein

BMC Bioinform., 2009

2008

Model Formulation: HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports.

Clark C. Freifeld, Kenneth D. Mandl, Ben Y. Reis, John S. Brownstein

J. Am. Medical Informatics Assoc., 2008

2007

Automated real time constant-specificity surveillance for disease outbreaks.

Shannon C. Wieland, John S. Brownstein, Bonnie Berger, Kenneth D. Mandl

BMC Medical Informatics Decis. Mak., 2007

2006

Reengineering Real Time Outbreak Detection Systems for Influenza Epidemic Monitoring.

John S. Brownstein, Kenneth D. Mandl

Proceedings of the AMIA 2006, 2006

2005

Reverse Geocoding: Concerns about Patient Confidentiality in the Display of Geospatial Health Data.

John S. Brownstein, Christopher A. Cassa, Isaac S. Kohane, Kenneth D. Mandl

Proceedings of the AMIA 2005, 2005