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Items: 1 to 20 of 68


OMG U got flu? Analysis of shared health messages for bio-surveillance.

Collier N, Son NT, Nguyen NM.

J Biomed Semantics. 2011 Oct 6;2 Suppl 5:S9. doi: 10.1186/2041-1480-2-S5-S9.


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.


"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A.

JMIR Public Health Surveill. 2016 Oct 24;2(2):e162.


A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives.

Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS.

J Med Internet Res. 2014 Oct 20;16(10):e236. doi: 10.2196/jmir.3416.


The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic.

Signorini A, Segre AM, Polgreen PM.

PLoS One. 2011 May 4;6(5):e19467. doi: 10.1371/journal.pone.0019467.


Twitter mining for fine-grained syndromic surveillance.

Velardi P, Stilo G, Tozzi AE, Gesualdo F.

Artif Intell Med. 2014 Jul;61(3):153-63. doi: 10.1016/j.artmed.2014.01.002. Epub 2014 Jan 31.


Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.

Alvaro N, Conway M, Doan S, Lofi C, Overington J, Collier N.

J Biomed Inform. 2015 Dec;58:280-287. doi: 10.1016/j.jbi.2015.11.004. Epub 2015 Nov 7.


Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates.

Mowery J.

Online J Public Health Inform. 2016 Dec 28;8(3):e198. doi: 10.5210/ojphi.v8i3.7011. eCollection 2016.


Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Kagashe I, Yan Z, Suheryani I.

J Med Internet Res. 2017 Sep 12;19(9):e315. doi: 10.2196/jmir.7393.


Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak.

Chew C, Eysenbach G.

PLoS One. 2010 Nov 29;5(11):e14118. doi: 10.1371/journal.pone.0014118.


The complex relationship of realspace events and messages in cyberspace: case study of influenza and pertussis using tweets.

Nagel AC, Tsou MH, Spitzberg BH, An L, Gawron JM, Gupta DK, Yang JA, Han S, Peddecord KM, Lindsay S, Sawyer MH.

J Med Internet Res. 2013 Oct 24;15(10):e237. doi: 10.2196/jmir.2705.


Analysing Twitter and web queries for flu trend prediction.

Santos JC, Matos S.

Theor Biol Med Model. 2014 May 7;11 Suppl 1:S6. doi: 10.1186/1742-4682-11-S1-S6. Epub 2014 May 7.


Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study.

Broniatowski DA, Dredze M, Paul MJ, Dugas A.

JMIR Public Health Surveill. 2015 Jan-Jun;1(1):e5. Epub 2015 May 29.


Modeling the impact of twitter on influenza epidemics.

Pawelek KA, Oeldorf-Hirsch A, Rong L.

Math Biosci Eng. 2014 Dec;11(6):1337-56. doi: 10.3934/mbe.2014.11.1337.


Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

Allen C, Tsou MH, Aslam A, Nagel A, Gawron JM.

PLoS One. 2016 Jul 25;11(7):e0157734. doi: 10.1371/journal.pone.0157734. eCollection 2016.


Influenza-like illness surveillance on Twitter through automated learning of naïve language.

Gesualdo F, Stilo G, Agricola E, Gonfiantini MV, Pandolfi E, Velardi P, Tozzi AE.

PLoS One. 2013 Dec 4;8(12):e82489. doi: 10.1371/journal.pone.0082489. eCollection 2013.


Tweeting for and against public health policy: response to the Chicago Department of Public Health's electronic cigarette Twitter campaign.

Harris JK, Moreland-Russell S, Choucair B, Mansour R, Staub M, Simmons K.

J Med Internet Res. 2014 Oct 16;16(10):e238. doi: 10.2196/jmir.3622.


Twitter: a good place to detect health conditions.

Prieto VM, Matos S, Álvarez M, Cacheda F, Oliveira JL.

PLoS One. 2014 Jan 29;9(1):e86191. doi: 10.1371/journal.pone.0086191. eCollection 2014.


Social media and flu: Media Twitter accounts as agenda setters.

Yun GW, Morin D, Park S, Joa CY, Labbe B, Lim J, Lee S, Hyun D.

Int J Med Inform. 2016 Jul;91:67-73. doi: 10.1016/j.ijmedinf.2016.04.009. Epub 2016 Apr 22.


A Scalable Framework to Detect Personal Health Mentions on Twitter.

Yin Z, Fabbri D, Rosenbloom ST, Malin B.

J Med Internet Res. 2015 Jun 5;17(6):e138. doi: 10.2196/jmir.4305.

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