about
Global disease monitoring and forecasting with WikipediaInternet-based media coverage on dengue in Sri Lanka between 2007 and 2015Global rise in human infectious disease outbreaksInfodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the InternetA review of evaluations of electronic event-based biosurveillance systemsThe Potential of Social Media and Internet-Based Data in Preventing and Fighting Infectious Diseases: From Internet to TwitterDisease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseasesLeveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot StudyMass Media and the Contagion of Fear: The Case of Ebola in AmericaInfluenza-like illness surveillance on Twitter through automated learning of naïve languageData and methods to facilitate delivery system reform: harnessing collective intelligence to learn from positive devianceMeasuring Global Disease with Wikipedia: Success, Failure, and a Research AgendaDo seasons have an influence on the incidence of depression? The use of an internet search engine query data as a proxy of human affectUsing Google Trends for influenza surveillance in South ChinaA research agenda: does geocoding positional error matter in health GIS studies?Use of big data in the surveillance of veterinary diseases: early detection of tick paralysis in companion animals.Infodemiology of alcohol use in Hong Kong mentioned on blogs: infoveillance study.Metagenomics for the discovery of novel human viruses.Measuring the impact of health policies using Internet search patterns: the case of abortionRedefining disease emergence to improve prioritization and macro-ecological analyses.Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games.Guess who's coming to dinner? Emerging foodborne zoonoses.Using search query surveillance to monitor tax avoidance and smoking cessation following the United States' 2009 "SCHIP" cigarette tax increaseGET WELL: an automated surveillance system for gaining new epidemiological knowledge.Monitoring of non-cigarette tobacco use using Google Trends.Mining social media and web searches for disease detection.Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports.Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions.Head lice surveillance on a deregulated OTC-sales market: a study using web query data.Using search queries for malaria surveillance, Thailand.Internet and free press are associated with reduced lags in global outbreak reporting.Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events.Assessing the impact of the national smoking ban in indoor public places in china: evidence from quit smoking related online searchesUsing internet search queries for infectious disease surveillance: screening diseases for suitability.Prediction of dengue incidence using search query surveillanceLandscape of international event-based biosurveillance.Detecting the influence of spreading in social networks with excitable sensor networksSurveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology.Biosurveillance: a review and update.Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks.
P2860
Q21563470-61652B0A-B83B-4E27-BD74-BF5C1097352AQ24273300-BF4D4D65-F2AC-4286-882D-A00B7983B697Q24276928-D86C75BA-1F69-40D2-83F9-E0B2BB61708FQ24652569-CE4F4DF9-C4AA-4B22-8226-077623916D17Q27021495-D4FC09B0-2157-4EAB-A3F7-2670DDE98F6BQ28114662-AD88B221-B562-4D58-A8C4-2DB6745FEFE6Q28585728-6F919F58-9260-4FFE-AACF-2CBA5C05F478Q28596624-F3A9D7B1-50A2-4B51-9879-827821D3355EQ28648511-45D0DF8E-DD17-4724-89C1-126FC0C472CCQ28661279-4369D8F4-0251-4D8A-A525-884CA3928F3BQ28748661-04E59E03-1E69-40F1-9F0A-C78D9641678CQ28859589-2FE3219A-EC67-4F27-88C1-DB25F611577DQ30000962-53D00380-960B-4447-93B5-ACE94EBC75C5Q30426682-8263FC68-E721-42B2-A132-413050B0E0F2Q30485425-CF263F07-327A-4137-A011-3D722C6F55DAQ31100117-83FD311B-2F91-45CA-8202-566FEC5D5B07Q31136862-7AFCB66A-9EE8-468A-9E03-C8A79FD85D34Q33530400-440398EF-8DE5-4731-A985-22F35A6A6E27Q33672326-279BC1E4-0D09-4537-A41A-30F581F48E40Q33718298-7DFFFCD0-0739-4455-90AB-76087385B30BQ33753833-14681C7D-6043-4C42-AD71-8223747FAD26Q33779965-7CB6A0D5-3F48-4E1A-ABF5-C6531E4C6750Q33855411-3EE52B43-E65E-47E3-9ADE-E2804065AD79Q33878959-41605606-E0DD-402A-9B3C-D64CCD104B7EQ34005946-DB187F6B-AB02-49B9-9070-4BC35EF943B9Q34074078-E5ACF7D7-3E83-40D1-A1A5-CB720A3F92C9Q34205304-BF7EF3FD-0764-4565-9396-4366E3A68605Q34344374-0DF2638F-54CF-4B8E-87F0-064AEB185AA6Q34473612-A06242BF-0E8F-4876-AA5E-CD61CFD355A9Q34492415-8CB18841-738B-42E5-B8AB-488CDA384720Q34525323-3568A259-27B3-471E-A0DA-D6868300210BQ34614308-AFCBEE85-58AF-472C-B3ED-EF1B3BC0219DQ34775792-3A954C43-07E8-4E3C-B0F0-5362837A0FD2Q34989267-3CF55C1E-3959-47B1-97FD-9AEAFA1893B2Q35143884-D4D01C8B-950B-494C-B2C8-2D9D444483C8Q35198472-69648FC7-D356-4F10-B39A-25CFA903A3B6Q35623974-8C44B3BF-8068-4035-AFF5-91605CC5B626Q35628776-B8422B4C-81CC-49A0-B1CB-83199BD05211Q35661510-3655B832-4564-44FC-9955-B3C754F246AAQ35979918-C77B8C77-9FF6-4474-A433-DF41A8A34DD3
P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on April 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Early detection of disease outbreaks using the Internet
@en
Early detection of disease outbreaks using the Internet.
@nl
type
label
Early detection of disease outbreaks using the Internet
@en
Early detection of disease outbreaks using the Internet.
@nl
prefLabel
Early detection of disease outbreaks using the Internet
@en
Early detection of disease outbreaks using the Internet.
@nl
P2860
P356
P1476
Early detection of disease outbreaks using the Internet
@en
P2860
P304
P356
10.1503/CMAJ.1090215
P407
P577
2009-04-01T00:00:00Z