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Items: 1 to 20 of 183

1.

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

Kass-Hout TA, Xu Z, McMurray P, Park S, Buckeridge DL, Brownstein JS, Finelli L, Groseclose SL.

J Am Med Inform Assoc. 2012 Nov-Dec;19(6):1075-81. doi: 10.1136/amiajnl-2011-000793. Epub 2012 Jul 3.

2.

Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska.

Araz OM, Bentley D, Muelleman RL.

Am J Emerg Med. 2014 Sep;32(9):1016-23. doi: 10.1016/j.ajem.2014.05.052. Epub 2014 Jun 12.

PMID:
25037278
3.

Syndromic surveillance for influenza in the emergency department-A systematic review.

Hiller KM, Stoneking L, Min A, Rhodes SM.

PLoS One. 2013 Sep 13;8(9):e73832. doi: 10.1371/journal.pone.0073832. eCollection 2013. Review.

4.
5.

Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models.

Chan TC, Teng YC, Hwang JS.

BMC Public Health. 2015 Feb 21;15:168. doi: 10.1186/s12889-015-1500-4.

6.

Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system.

Schirmer P, Lucero C, Oda G, Lopez J, Holodniy M.

PLoS One. 2010 Mar 4;5(3):e9533. doi: 10.1371/journal.pone.0009533.

7.

Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza.

Thompson LH, Malik MT, Gumel A, Strome T, Mahmud SM.

Epidemiol Infect. 2014 Nov;142(11):2397-405. doi: 10.1017/S0950268813003464. Epub 2014 Jan 20.

PMID:
24480399
8.

"Google flu trends" and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba.

Malik MT, Gumel A, Thompson LH, Strome T, Mahmud SM.

Can J Public Health. 2011 Jul-Aug;102(4):294-7.

PMID:
21913587
9.

The reliability of tweets as a supplementary method of seasonal influenza surveillance.

Aslam AA, Tsou MH, Spitzberg BH, An L, Gawron JM, Gupta DK, Peddecord KM, Nagel AC, Allen C, Yang JA, Lindsay S.

J Med Internet Res. 2014 Nov 14;16(11):e250. doi: 10.2196/jmir.3532.

10.

Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance.

Savard N, Bédard L, Allard R, Buckeridge DL.

J Am Med Inform Assoc. 2015 May;22(3):688-96. doi: 10.1093/jamia/ocu002. Epub 2015 Feb 26.

PMID:
25725005
11.

Rapid detection of pandemic influenza in the presence of seasonal influenza.

Singh BK, Savill NJ, Ferguson NM, Robertson C, Woolhouse ME.

BMC Public Health. 2010 Nov 24;10:726. doi: 10.1186/1471-2458-10-726.

12.

Impact of the H1N1 influenza pandemic in two rural emergency departments.

Falconer E, Keddy M, Milne WK.

Rural Remote Health. 2012;12:2063. Epub 2012 Sep 13.

13.

[Application of EARS in early-warning of influenza pandemic in Beijing].

Zhang DT, Yang P, Zhang Y, Zhang L, Peng XM, Shi WX, Lu GL, Liang HJ, Liu YM, Liu M, Wang QY.

Beijing Da Xue Xue Bao. 2012 Jun 18;44(3):412-5. Chinese.

14.

Comparison of syndromic surveillance and a sentinel provider system in detecting an influenza outbreak--Denver, Colorado, 2003.

Ritzwoller DP, Kleinman K, Palen T, Abrams A, Kaferly J, Yih W, Platt R.

MMWR Suppl. 2005 Aug 26;54:151-6.

PMID:
16177707
15.

Probabilistic daily ILI syndromic surveillance with a spatio-temporal Bayesian hierarchical model.

Chan TC, King CC, Yen MY, Chiang PH, Huang CS, Hsiao CK.

PLoS One. 2010 Jul 16;5(7):e11626. doi: 10.1371/journal.pone.0011626.

16.

Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan.

Wu TS, Shih FY, Yen MY, Wu JS, Lu SW, Chang KC, Hsiung C, Chou JH, Chu YT, Chang H, Chiu CH, Tsui FC, Wagner MM, Su IJ, King CC.

BMC Public Health. 2008 Jan 18;8:18. doi: 10.1186/1471-2458-8-18.

17.

Influenza-like illness in a Vietnamese province: epidemiology in correlation with weather factors and determinants from the surveillance system.

Minh An DT, Ngoc NT, Nilsson M.

Glob Health Action. 2014 Dec 8;7:23073. doi: 10.3402/gha.v7.23073. eCollection 2014.

18.

Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US.

Viboud C, Charu V, Olson D, Ballesteros S, Gog J, Khan F, Grenfell B, Simonsen L.

PLoS One. 2014 Jul 29;9(7):e102429. doi: 10.1371/journal.pone.0102429. eCollection 2014.

19.

Automated data extraction from general practice records in an Australian setting: trends in influenza-like illness in sentinel general practices and emergency departments.

Liljeqvist GT, Staff M, Puech M, Blom H, Torvaldsen S.

BMC Public Health. 2011 Jun 6;11:435. doi: 10.1186/1471-2458-11-435.

20.

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