Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns

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Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns is …
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scholarly articleQ13442814

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P356DOI10.1001/JAMAOPHTHALMOL.2016.2267
P932PMC publication ID5227006
P698PubMed publication ID27416554

P50authorMichael S DeinerQ88547081
James ChodoshQ90193691
Stephen McLeodQ86596327
Travis C. PorcoQ87281091
Thomas M LietmanQ87281221
P2860cites workGlobal disease monitoring and forecasting with WikipediaQ21563470
The use of google trends in health care research: a systematic reviewQ24288677
Influenza A (H1N1) virus, 2009--online monitoringQ24630915
Bacterial conjunctivitisQ26823285
An overview of internet biosurveillanceQ27024052
Detecting influenza epidemics using search engine query dataQ27700189
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza SurveillanceQ28608315
Digital Disease Detection — Harnessing the Web for Public Health SurveillanceQ29302361
Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaksQ30217180
Reengineering real time outbreak detection systems for influenza epidemic monitoring.Q30359306
Social media and internet-based data in global systems for public health surveillance: a systematic reviewQ30770756
Estimate of the direct and indirect annual cost of bacterial conjunctivitis in the United StatesQ30917738
Conjunctivitis: a systematic review of diagnosis and treatmentQ33726882
New twists to an old story: novel concepts in the pathogenesis of allergic eye diseaseQ34529798
The epidemiology of ocular and nasal allergy in the United States, 1988-1994.Q34624103
Electronic event-based surveillance for monitoring dengue, Latin AmericaQ36037806
Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.Q36115640
Epidemic keratoconjunctivitis: the current situation and recommendations for prevention and treatmentQ37911296
Epidemiology of allergic conjunctivitis: clinical appearance and treatment patterns in a population-based studyQ38563739
A Polymerase Chain Reaction-Based Algorithm to Detect and Prevent Transmission of Adenoviral Conjunctivitis in Hospital EmployeesQ40181172
Frequency and seasonal variation of ophthalmology-related internet searchesQ44956336
Infectious disease surveillance and modelling across geographic frontiers and scientific specialties.Q51449676
Google unveils a glimpse of allergic rhinitis in the real world.Q51455718
Social media use by patients with glaucoma: what can we learn?Q51462194
HealthMap: the development of automated real-time internet surveillance for epidemic intelligence.Q53224582
P433issue9
P407language of work or nameEnglishQ1860
P921main subjectsocial mediaQ202833
eye diseaseQ3041498
P304page(s)1024-1030
P577publication date2016-07-14
P1433published inJAMA OphthalmologyQ4787301
P1476titleSurveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns
P478volume134

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