Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

JMIR Public Health and Surveillance - Tập 4 Số 1 - Trang e4
Fred Lu1, Suqin Hou2, Kristin Baltrusaitis3, Manan Shah4, Jure Leskovec5,4, Rok Sosič4, Jared B. Hawkins1,6, John S. Brownstein1,6, Giuseppe Conidi7, Julia Gunn7, Josh Gray8, Anna Zink8, Mauricio Santillana1,6
1Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States
2Harvard Chan School of Public Health, Harvard University, Boston, MA, United States
3Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
4Computer Science Department, Stanford University, Stanford, CA, United States
5Chan Zuckerberg Biohub, San Francisco, CA, United States
6Department of Pediatrics, Harvard Medical School, Boston, MA, United States
7Boston Public Health Commission, Boston, MA, United States
8athenaResearch, athenahealth, Watertown, MA, United States

Tóm tắt

Từ khóa


Tài liệu tham khảo

Centers for Disease Control and Prevention20162017-06-07Seasonal Influenza-Associated Hospitalizations in the United States http://www.cdc.gov/flu/about/qa/hospital.htm

World Health Organization20142017-06-06Influenza (Seasonal): Fact sheet no. 211 http://www.who.int/mediacentre/factsheets/fs211/en/

Centers for Disease Control and Prevention20172017-06-06Influenza (flu) https://www.cdc.gov/flu/

Centers for Disease Control and Prevention20162017-06-06Overview of influenza surveillance in the United States https://www.cdc.gov/flu/weekly/overview.htm

10.1140/epjds/s13688-015-0054-0

10.1089/bsp.2011.0007

10.1073/pnas.1515373112

Eysenbach, G, 2006, AMIA Annu Symp Proc, 244

GoogleGoogle2017-03-24Google Flu Trends https://www.google.org/flutrends/about/

10.1371/journal.pcbi.1003256

Santillana, M, 2017, Clin Infect Dis, 64, 42, 10.1093/cid/ciw660

10.1038/srep12760

10.1371/journal.pone.0176690

10.1038/srep25732

10.1371/journal.pcbi.1004513

10.1073/pnas.1208772109

10.1371/journal.pcbi.1003583

10.2105/AJPH.2015.302696

10.2196/publichealth.7304

10.1111/1469-0691.12477

10.3201/eid1612.100935

10.1016/j.amepre.2014.05.020

10.1371/journal.pcbi.1004382

10.1371/journal.pmed.0040247

10.1016/j.ajem.2014.05.052

10.2196/jmir.3156

10.1371/journal.pcbi.1005201

10.2196/jmir.3416

10.2196/publichealth.4472

10.1186/s12879-017-2424-7

ShahMDisease Propagation in Social Networks: A Novel Study of Infection Genesis and Spread on Twitter20160814Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications2016San Francisco, CA, USAProceedings of Machine Learning Research

10.1016/0306-4573(88)90021-0

Pedregosa, F, 2011, J Mach Learn Res, 12, 2825

10.1080/01621459.1994.10476870

Paladini, M, 2008, AID, 5, 50

10.1371/journal.pntd.0002713

PaulMDredzeMBroniatowskiDGenerousNWorldwide influenza surveillance through Twitter20150125AAAI Workshop on the World Wide Web and Public Health Intelligence2015Austin, Texas, USA

10.1371/journal.pntd.0005295