TY - JOUR AU - Molinari, N. A. M. AU - Ortega-Sanchez, I. R. AU - Messonnier, M. L. AU - Thompson, W. W. AU - Wortley, P. M. AU - Weintraub, E. PY - 2007 DA - 2007// TI - The annual impact of seasonal influenza in the US: measuring disease burden and costs JO - Vaccine VL - 25 UR - https://doi.org/10.1016/j.vaccine.2007.03.046 DO - 10.1016/j.vaccine.2007.03.046 ID - Molinari2007 ER - TY - STD TI - Overview of Influenza Surveillance in the United States. Centers for Disease Control and Prevention. https://www.cdc.gov/flu/weekly/overview.htm. Accessed 1 Jan 2017. UR - https://www.cdc.gov/flu/weekly/overview.htm ID - ref2 ER - TY - JOUR AU - Polgreen, P. M. AU - Chen, Y. AU - Pennock, D. M. AU - Nelson, F. D. AU - Weinstein, R. A. PY - 2008 DA - 2008// TI - Using internet searches for influenza surveillance JO - Clin Infect Dis VL - 47 UR - https://doi.org/10.1086/593098 DO - 10.1086/593098 ID - Polgreen2008 ER - TY - JOUR AU - Ginsberg, J. AU - Mohebbi, M. H. AU - Patel, R. S. AU - Brammer, L. AU - Smolinski, M. S. AU - Brilliant, L. PY - 2009 DA - 2009// TI - Detecting influenza epidemics using search engine query data JO - Nature VL - 457 UR - https://doi.org/10.1038/nature07634 DO - 10.1038/nature07634 ID - Ginsberg2009 ER - TY - JOUR AU - Yang, S. AU - Santillana, M. AU - Kou, S. C. PY - 2015 DA - 2015// TI - Accurate estimation of influenza epidemics using Google search data via ARGO JO - Proc Natl Acad Sci VL - 112 UR - https://doi.org/10.1073/pnas.1515373112 DO - 10.1073/pnas.1515373112 ID - Yang2015 ER - TY - STD TI - Eysenbach G. Infodemiology: tracking flu-related searches on the web for syndromic surveillance. AMIA Annu Symp Proc. 2006;:244–8. doi: PMC1839505. ID - ref6 ER - TY - JOUR AU - Yuan, Q. AU - Nsoesie, E. O. AU - Lv, B. AU - Peng, G. AU - Chunara, R. AU - Brownstein, J. S. PY - 2013 DA - 2013// TI - Monitoring influenza epidemics in China with search query from baidu JO - PLoS One VL - 8 UR - https://doi.org/10.1371/journal.pone.0064323 DO - 10.1371/journal.pone.0064323 ID - Yuan2013 ER - TY - JOUR AU - Signorini, A. AU - Segre, A. M. AU - Polgreen, P. M. PY - 2011 DA - 2011// TI - The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic JO - PLoS One VL - 6 UR - https://doi.org/10.1371/journal.pone.0019467 DO - 10.1371/journal.pone.0019467 ID - Signorini2011 ER - TY - JOUR AU - Paul, M. J. AU - Dredze, M. AU - Broniatowski, D. PY - 2014 DA - 2014// TI - Twitter improves influenza forecasting JO - PLoS Curr VL - 6 UR - https://doi.org/10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117 DO - 10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117 ID - Paul2014 ER - TY - STD TI - Chen L, Tozammel Hossain KSM, Butler P, Ramakrishnan N, Prakash BA. Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models. Data Min Knowl Discov. 2015. ID - ref10 ER - TY - JOUR AU - Santillana, M. AU - Nsoesie, E. O. AU - Mekaru, S. R. AU - Scales, D. AU - Brownstein, J. S. PY - 2014 DA - 2014// TI - Using clinicians’ search query data to monitor influenza epidemics JO - Clin Infect Dis VL - 59 UR - https://doi.org/10.1093/cid/ciu647 DO - 10.1093/cid/ciu647 ID - Santillana2014 ER - TY - STD TI - Santillana M, Nguyen AT, Louie T, Zink A, Gray J, Sung I, et al. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep. 2016;6 April:25732. doi:https://doi.org/10.1038/srep25732. ID - ref12 ER - TY - JOUR AU - Carlson, S. J. AU - Dalton, C. B. AU - Durrheim, D. N. AU - Fejsa, J. PY - 2010 DA - 2010// TI - Online Flutracking survey of influenza-like illness during pandemic (H1N1) 2009 JO - Australia Emerg Infect Dis VL - 16 UR - https://doi.org/10.3201/eid1612.100935 DO - 10.3201/eid1612.100935 ID - Carlson2010 ER - TY - JOUR AU - Paolotti, D. AU - Carnahan, A. AU - Colizza, V. AU - Eames, K. AU - Edmunds, J. AU - Gomes, G. PY - 2014 DA - 2014// TI - Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience JO - Clin Microbiol Infect VL - 20 UR - https://doi.org/10.1111/1469-0691.12477 DO - 10.1111/1469-0691.12477 ID - Paolotti2014 ER - TY - JOUR AU - Smolinski, M. S. AU - Crawley, A. W. AU - Baltrusaitis, K. AU - Chunara, R. AU - Olsen, J. M. AU - Wójcik, O. PY - 2015 DA - 2015// TI - Flu near you: crowdsourced symptom reporting spanning 2 influenza seasons JO - Am J Public Health VL - 105 UR - https://doi.org/10.2105/AJPH.2015.302696 DO - 10.2105/AJPH.2015.302696 ID - Smolinski2015 ER - TY - JOUR AU - van Noort, S. P. AU - Codeço, C. T. AU - Koppeschaar, C. E. AU - van Ranst, M. AU - Paolotti, D. AU - Gomes, M. G. M. PY - 2015 DA - 2015// TI - Ten-year performance of Influenzanet: ILI time series, risks, vaccine effects, and care-seeking behaviour JO - Epidemics VL - 13 UR - https://doi.org/10.1016/j.epidem.2015.05.001 DO - 10.1016/j.epidem.2015.05.001 ID - van Noort2015 ER - TY - JOUR AU - Santillana, M. AU - Nguyen, A. T. AU - Dredze, M. AU - Paul, M. J. AU - Nsoesie, E. O. AU - Brownstein, J. S. PY - 2015 DA - 2015// TI - Combining search, social media, and traditional data sources to improve influenza surveillance JO - PLoS Comput Biol VL - 11 UR - https://doi.org/10.1371/journal.pcbi.1004513 DO - 10.1371/journal.pcbi.1004513 ID - Santillana2015 ER - TY - JOUR AU - Shaman, J. AU - Karspeck, A. PY - 2012 DA - 2012// TI - Forecasting seasonal outbreaks of influenza JO - Proc Natl Acad Sci U S A VL - 109 UR - https://doi.org/10.1073/pnas.1208772109 DO - 10.1073/pnas.1208772109 ID - Shaman2012 ER - TY - JOUR AU - Cook, S. AU - Conrad, C. AU - Fowlkes, A. L. AU - Mohebbi, M. H. PY - 2011 DA - 2011// TI - Assessing Google flu trends performance in the United States during the 2009 influenza virus a (H1N1) pandemic JO - PLoS One VL - 6 ID - Cook2011 ER - TY - JOUR AU - Olson, D. R. AU - Konty, K. J. AU - Paladini, M. AU - Viboud, C. AU - Simonsen, L. PY - 2013 DA - 2013// TI - Reassessing Google flu trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales JO - PLoS Comput Biol VL - 9 UR - https://doi.org/10.1371/journal.pcbi.1003256 DO - 10.1371/journal.pcbi.1003256 ID - Olson2013 ER - TY - JOUR AU - Lipsitch, M. AU - Finelli, L. AU - Heffernan, R. T. AU - Leung, G. M. AU - Redd, S. C. PY - 2011 DA - 2011// TI - Group for the 2009 HS. Improving the evidence base for decision making during a pandemic: the example of 2009 influenza a/H1N1 JO - Biosecur Bioterror VL - 9 UR - https://doi.org/10.1089/bsp.2011.0007 DO - 10.1089/bsp.2011.0007 ID - Lipsitch2011 ER - TY - JOUR AU - Althouse, B. M. AU - Scarpino, S. V. AU - Meyers, L. A. AU - Ayers, J. W. AU - Bargsten, M. AU - Baumbach, J. PY - 2015 DA - 2015// TI - Enhancing disease surveillance with novel data streams: challenges and opportunities JO - EPJ Data Sci VL - 4 UR - https://doi.org/10.1140/epjds/s13688-015-0054-0 DO - 10.1140/epjds/s13688-015-0054-0 ID - Althouse2015 ER - TY - STD TI - R Core Team (R Foundation for Statistical Computing). R: A Language and Environment for Statistical Computing. 2016. https://www.r-project.org/. UR - https://www.r-project.org ID - ref23 ER - TY - JOUR AU - Scarpino, S. V. AU - Dimitrov, N. B. AU - Meyers, L. A. PY - 2012 DA - 2012// TI - Optimizing provider recruitment for influenza surveillance networks JO - PLoS Comput Biol VL - 8 UR - https://doi.org/10.1371/journal.pcbi.1002472 DO - 10.1371/journal.pcbi.1002472 ID - Scarpino2012 ER - TY - JOUR AU - Guerrisi, C. AU - Turbelin, C. AU - Blanchon, T. AU - Hanslik, T. AU - Bonmarin, I. AU - Levy-Bruhl, D. PY - 2016 DA - 2016// TI - Participatory syndromic surveillance of influenza in Europe JO - J Infect Dis VL - 214 UR - https://doi.org/10.1093/infdis/jiw280 DO - 10.1093/infdis/jiw280 ID - Guerrisi2016 ER - TY - JOUR AU - Fry, M. AU - Balluz, L. AU - Finelli, L. PY - 2015 DA - 2015// JO - HHS Public Access VL - 210 ID - Fry2015 ER - TY - JOUR AU - Baltrusaitis, K. AU - Santillana, M. AU - Crawley, A. W. AU - Chunara, R. AU - Smolinski, M. AU - Brownstein, J. S. PY - 2017 DA - 2017// TI - Determinants of participants’ follow-up and characterization of representativeness in flu near you, a participatory disease surveillance system JO - JMIR public Heal Surveill VL - 3 UR - https://doi.org/10.2196/publichealth.7304 DO - 10.2196/publichealth.7304 ID - Baltrusaitis2017 ER - TY - STD TI - Dalton C, Carlson SJ, Butler MT, Cassano D, Clarke S, Fejsa J, et al. Insights from Flutracking – 12 tips to growing an online participatory surveillance system. JMIR public Heal Surveill. 2017; ID - ref28 ER -