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Items: 1 to 20 of 68

1.

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.

2.

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.

3.

"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.

4.

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.

5.

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.

6.

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.

PMID:
24613716
7.

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.

8.

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.

9.

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.

10.

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.

11.

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.

12.

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.

13.

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.

14.

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.

PMID:
25365604
15.

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.

16.

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.

17.

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.

18.

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.

19.

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.

PMID:
27185510
20.

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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