These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
345 related articles for article (PubMed ID: 29109069)
1. Subregional Nowcasts of Seasonal Influenza Using Search Trends. Kandula S; Hsu D; Shaman J J Med Internet Res; 2017 Nov; 19(11):e370. PubMed ID: 29109069 [TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 25037278 [TBL] [Abstract][Full Text] [Related]
3. Reappraising the utility of Google Flu Trends. Kandula S; Shaman J PLoS Comput Biol; 2019 Aug; 15(8):e1007258. PubMed ID: 31374088 [TBL] [Abstract][Full Text] [Related]
4. Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits. Klembczyk JJ; Jalalpour M; Levin S; Washington RE; Pines JM; Rothman RE; Dugas AF J Med Internet Res; 2016 Jun; 18(6):e175. PubMed ID: 27354313 [TBL] [Abstract][Full Text] [Related]
5. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. Olson DR; Konty KJ; Paladini M; Viboud C; Simonsen L PLoS Comput Biol; 2013; 9(10):e1003256. PubMed ID: 24146603 [TBL] [Abstract][Full Text] [Related]
6. [Using Google Trends to estimate the incidence of influenza-like illness in Argentina]. Orellano PW; Reynoso JI; Antman J; Argibay O Cad Saude Publica; 2015 Apr; 31(4):691-700. PubMed ID: 25945979 [TBL] [Abstract][Full Text] [Related]
7. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. Cook S; Conrad C; Fowlkes AL; Mohebbi MH PLoS One; 2011; 6(8):e23610. PubMed ID: 21886802 [TBL] [Abstract][Full Text] [Related]
8. Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina. Choi SB; Ahn I PLoS One; 2020; 15(7):e0233855. PubMed ID: 32673312 [TBL] [Abstract][Full Text] [Related]
9. What can digital disease detection learn from (an external revision to) Google Flu Trends? Santillana M; Zhang DW; Althouse BM; Ayers JW Am J Prev Med; 2014 Sep; 47(3):341-7. PubMed ID: 24997572 [TBL] [Abstract][Full Text] [Related]
10. 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; 16(11):e250. PubMed ID: 25406040 [TBL] [Abstract][Full Text] [Related]
11. Improved forecasts of influenza-associated hospitalization rates with Google Search Trends. Kandula S; Pei S; Shaman J J R Soc Interface; 2019 Jun; 16(155):20190080. PubMed ID: 31185818 [TBL] [Abstract][Full Text] [Related]
12. Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study. Cheng HY; Wu YC; Lin MH; Liu YL; Tsai YY; Wu JH; Pan KH; Ke CJ; Chen CM; Liu DP; Lin IF; Chuang JH J Med Internet Res; 2020 Aug; 22(8):e15394. PubMed ID: 32755888 [TBL] [Abstract][Full Text] [Related]
13. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. Clemente L; Lu F; Santillana M JMIR Public Health Surveill; 2019 Apr; 5(2):e12214. PubMed ID: 30946017 [TBL] [Abstract][Full Text] [Related]
14. Near-term forecasts of influenza-like illness: An evaluation of autoregressive time series approaches. Kandula S; Shaman J Epidemics; 2019 Jun; 27():41-51. PubMed ID: 30792135 [TBL] [Abstract][Full Text] [Related]
15. Evaluating Google Flu Trends in Latin America: Important Lessons for the Next Phase of Digital Disease Detection. Pollett S; Boscardin WJ; Azziz-Baumgartner E; Tinoco YO; Soto G; Romero C; Kok J; Biggerstaff M; Viboud C; Rutherford GW Clin Infect Dis; 2017 Jan; 64(1):34-41. PubMed ID: 27678084 [TBL] [Abstract][Full Text] [Related]
16. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. Dugas AF; Hsieh YH; Levin SR; Pines JM; Mareiniss DP; Mohareb A; Gaydos CA; Perl TM; Rothman RE Clin Infect Dis; 2012 Feb; 54(4):463-9. PubMed ID: 22230244 [TBL] [Abstract][Full Text] [Related]
17. Using web search queries to monitor influenza-like illness: an exploratory retrospective analysis, Netherlands, 2017/18 influenza season. Schneider PP; van Gool CJ; Spreeuwenberg P; Hooiveld M; Donker GA; Barnett DJ; Paget J Euro Surveill; 2020 May; 25(21):. PubMed ID: 32489174 [TBL] [Abstract][Full Text] [Related]
18. 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; 16(10):e236. PubMed ID: 25331122 [TBL] [Abstract][Full Text] [Related]
19. Google Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010-2014. Martin LJ; Lee BE; Yasui Y Epidemiol Infect; 2016 Jan; 144(2):325-32. PubMed ID: 26135239 [TBL] [Abstract][Full Text] [Related]
20. Forecasting influenza-like illness trends in Cameroon using Google Search Data. Nsoesie EO; Oladeji O; Abah ASA; Ndeffo-Mbah ML Sci Rep; 2021 Mar; 11(1):6713. PubMed ID: 33762599 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]