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.
182 related articles for article (PubMed ID: 29317382)
1. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. Lu FS; Hou S; Baltrusaitis K; Shah M; Leskovec J; Sosic R; Hawkins J; Brownstein J; Conidi G; Gunn J; Gray J; Zink A; Santillana M JMIR Public Health Surveill; 2018 Jan; 4(1):e4. PubMed ID: 29317382 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Using electronic health records and Internet search information for accurate influenza forecasting. Yang S; Santillana M; Brownstein JS; Gray J; Richardson S; Kou SC BMC Infect Dis; 2017 May; 17(1):332. PubMed ID: 28482810 [TBL] [Abstract][Full Text] [Related]
4. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. Baltrusaitis K; Brownstein JS; Scarpino SV; Bakota E; Crawley AW; Conidi G; Gunn J; Gray J; Zink A; Santillana M BMC Infect Dis; 2018 Aug; 18(1):403. PubMed ID: 30111305 [TBL] [Abstract][Full Text] [Related]
5. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. Santillana M; Nguyen AT; Dredze M; Paul MJ; Nsoesie EO; Brownstein JS PLoS Comput Biol; 2015 Oct; 11(10):e1004513. PubMed ID: 26513245 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Accurate estimation of influenza epidemics using Google search data via ARGO. Yang S; Santillana M; Kou SC Proc Natl Acad Sci U S A; 2015 Nov; 112(47):14473-8. PubMed ID: 26553980 [TBL] [Abstract][Full Text] [Related]
9. 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; 1(1):e5. PubMed ID: 27014744 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. Brownstein JS; Chu S; Marathe A; Marathe MV; Nguyen AT; Paolotti D; Perra N; Perrotta D; Santillana M; Swarup S; Tizzoni M; Vespignani A; Vullikanti AKS; Wilson ML; Zhang Q JMIR Public Health Surveill; 2017 Nov; 3(4):e83. PubMed ID: 29092812 [TBL] [Abstract][Full Text] [Related]
12. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Lu FS; Hattab MW; Clemente CL; Biggerstaff M; Santillana M Nat Commun; 2019 Jan; 10(1):147. PubMed ID: 30635558 [TBL] [Abstract][Full Text] [Related]
13. Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities. Choi D; Sumner SA; Holland KM; Draper J; Murphy S; Bowen DA; Zwald M; Wang J; Law R; Taylor J; Konjeti C; De Choudhury M JAMA Netw Open; 2020 Dec; 3(12):e2030932. PubMed ID: 33355678 [TBL] [Abstract][Full Text] [Related]
14. Optimal multi-source forecasting of seasonal influenza. Ertem Z; Raymond D; Meyers LA PLoS Comput Biol; 2018 Sep; 14(9):e1006236. PubMed ID: 30180212 [TBL] [Abstract][Full Text] [Related]
15. [Meta-analysis of the Italian studies on short-term effects of air pollution]. Biggeri A; Bellini P; Terracini B; Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188 [TBL] [Abstract][Full Text] [Related]
16. Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. Poirier C; Hswen Y; Bouzillé G; Cuggia M; Lavenu A; Brownstein JS; Brewer T; Santillana M PLoS One; 2021; 16(5):e0250890. PubMed ID: 34010293 [TBL] [Abstract][Full Text] [Related]
17. Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level. Marques-Toledo CA; Degener CM; Vinhal L; Coelho G; Meira W; Codeço CT; Teixeira MM PLoS Negl Trop Dis; 2017 Jul; 11(7):e0005729. PubMed ID: 28719659 [TBL] [Abstract][Full Text] [Related]
18. Accurate regional influenza epidemics tracking using Internet search data. Ning S; Yang S; Kou SC Sci Rep; 2019 Mar; 9(1):5238. PubMed ID: 30918276 [TBL] [Abstract][Full Text] [Related]
19. Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset. Caldwell WK; Fairchild G; Del Valle SY J Med Internet Res; 2020 Jul; 22(7):e14337. PubMed ID: 32437327 [TBL] [Abstract][Full Text] [Related]
20. Influenza forecasting with Google Flu Trends. Dugas AF; Jalalpour M; Gel Y; Levin S; Torcaso F; Igusa T; Rothman RE PLoS One; 2013; 8(2):e56176. PubMed ID: 23457520 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]