Influenza Forecasting with Google Flu Trends

PLoS ONE - Tập 8 Số 2 - Trang e56176
Andrea Dugas1, Mehdi Jalalpour2, Yulia R. Gel3,2, Scott Levin1,2, Fred Torcaso2, Takeru Igusa2, Richard E. Rothman1
1Department of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
2Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
3University of Waterloo, Waterloo, Ontario, Canada

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World Health Organization (2009) Influenza (Seasonal); Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.who.int/mediacentre/factsheets/fs211/en/" xlink:type="simple">http://www.who.int/mediacentre/factsheets/fs211/en/</ext-link>.Accessed April 5th, 2012.

WM McDonnell, 2012, Should we fear “flu fear” itself? Effects of H1N1 influenza fear on ED use, Am J Emerg Med, 30, 275, 10.1016/j.ajem.2010.11.027

2006, The future of emergency care in the United States health system, Ann Emerg Med, 48, 115, 10.1016/j.annemergmed.2006.06.015

CA Glaser, 2002, Medical care capacity for influenza outbreaks, Los Angeles, Emerg Infect Dis, 8, 569, 10.3201/eid0806.010370

MJ Schull, 2004, Community influenza outbreaks and emergency department ambulance diversion, Ann Emerg Med, 44, 61, 10.1016/j.annemergmed.2003.12.008

MT Osterholm, 2005, Preparing for the next pandemic, N Engl J Med, 352, 1839, 10.1056/NEJMp058068

SL Bernstein, 2009, The effect of emergency department crowding on clinically oriented outcomes, Acad Emerg Med, 16, 1, 10.1111/j.1553-2712.2008.00295.x

JM Pines, 2006, The association between emergency department crowding and hospital performance on antibiotic timing for pneumonia and percutaneous intervention for myocardial infarction, Acad Emerg Med, 13, 873, 10.1111/j.1553-2712.2006.tb01741.x

JM Pines, 2009, The association between emergency department crowding and adverse cardiovascular outcomes in patients with chest pain, Acad Emerg Med, 16, 617, 10.1111/j.1553-2712.2009.00456.x

JM Pines, 2010, The effect of emergency department crowding on analgesia in patients with back pain in two hospitals, Acad Emerg Med, 17, 276, 10.1111/j.1553-2712.2009.00676.x

Centers for Disease Control and Prevention (Overview of Influenza Surveillance in the United States). Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.cdc.gov/flu/weekly/overview.htm" xlink:type="simple">http://www.cdc.gov/flu/weekly/overview.htm</ext-link>. Accessed April 5th, 2012.

Google (2012) Google Flu Trends. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.google.org/flutrends" xlink:type="simple">http://www.google.org/flutrends</ext-link>. Accessed April 5th, 2012.

J Ginsberg, 2009, Detecting influenza epidemics using search engine query data, Nature, 2009, 7232

AF Dugas, 2012, Google Flu Trends: correlation with emergency department influenza rates and crowding metrics, Clin Infect Dis, 54, 463, 10.1093/cid/cir883

IM Longini, 1986, Predicting the global spread of new infectious agents, Am J Epidemiol, 123, 383, 10.1093/oxfordjournals.aje.a114253

IM Hall, 2007, Real-time epidemic forecasting for pandemic influenza, Epidemiol Infect, 135, 372, 10.1017/S0950268806007084

PJ Birrell, 2011, Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London, Proc Natl Acad Sci U S A, 108, 18238, 10.1073/pnas.1103002108

C Viboud, 2003, Prediction of the spread of influenza epidemics by the method of analogues, Am J Epidemiol, 158, 996, 10.1093/aje/kwg239

MJ Kim, 2011, A syndromic surveillance system for clinical and non-clinical health data, IIE Transactions on Healthcare Systems Engineering, 1, 37, 10.1080/19488300.2011.555877

JR Boyle, 2011, Prediction and surveillance of influenza epidemics, Med J Aust, 194, S28, 10.5694/j.1326-5377.2011.tb02940.x

Ackerman SA, Knox JA (2002) Meteorology: Understanding the Atmosphere: Brooks/Cole Publishing Company.

VM Dukic, 2012, Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model, J Am Stat Assoc, 107, 1410, 10.1080/01621459.2012.713876

H Nishiura, 2011, Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1–2009), Biomed Eng Online, 10, 15, 10.1186/1475-925X-10-15

DF Stroup, 1988, Application of multiple time series analysis to the estimation of pneumonia and influenza mortality by age 1962–1983, Stat Med, 7, 1045, 10.1002/sim.4780071006

P Quénel, 1998, Influenza A and B epidemic criteria based on time-series analysis of health services surveillance data, Eur J Epidemiol, 14, 275, 10.1023/A:1007467814485

RP Soebiyanto, 2010, Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters, PLoS One, 5, e9450, 10.1371/journal.pone.0009450

M Benjamin, 2003, Generalized Autoregressive Moving Average Models, J Am Stat Assoc, 98, 214, 10.1198/016214503388619238

AC Lowen, 2007, Influenza virus transmission is dependent on relative humidity and temperature, PLoS Pathog, 3, 1470, 10.1371/journal.ppat.0030151

C Sloan, 2011, Impact of pollution, climate, and sociodemographic factors on spatiotemporal dynamics of seasonal respiratory viruses, Clin Transl Sci, 4, 48, 10.1111/j.1752-8062.2010.00257.x

Weather Underground (2012) Weather Underground. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.wunderground.com/history/" xlink:type="simple">http://www.wunderground.com/history/</ext-link>. Accessed April 5th, 2012.

Kedem B, Fokianos K (2005) Regression Models for Time Series Analysis: Wiley.

Jalalpour M (2012) GARMA ToolKit. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://jshare.johnshopkins.edu/mjalalp1/public_html/MehdiJalalpour.htm" xlink:type="simple">https://jshare.johnshopkins.edu/mjalalp1/public_html/MehdiJalalpour.htm</ext-link>. Accessed October 30, 2012.

JW Buehler, 2009, Situational uses of syndromic surveillance, Biosecur Bioterror, 7, 165, 10.1089/bsp.2009.0013

B Reeder, 2011, Perceived usefulness of a distributed community-based syndromic surveillance system: a pilot qualitative evaluation study, BMC Res Notes, 14, 187, 10.1186/1756-0500-4-187

2009, APIC State-of-the-Art Report: the role of the infection preventionist in emergency management, Am J Infect Control, 37, 271, 10.1016/j.ajic.2008.12.002

DR Farias, 2010, Data for decision making: strategic information tools for hospital management during a pandemic, Disaster Med Public Health Prep, 4, 207, 10.1001/dmp.2010.29

S Cook, 2011, Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic, PLoS One, 6, e23610, 10.1371/journal.pone.0023610

JR Ortiz, 2011, Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends, PLoS One, 6, e18687, 10.1371/journal.pone.0018687