Google Trends
A Web‐Based Tool for Real‐Time Surveillance of Disease Outbreaks
Dados Bibliográficos
| ID | 23337075 |
|---|---|
| Autores | Herman Anthony Carneiro, Herman Carneiro (0000-0002-0880-3006, Harvard University), Eleftherios Mylonakis (0000-0002-4624-0777, Harvard University, autor correspondente) |
| Ano | 2009 |
| Volume | 49 |
| Fascículo | 10 |
| Páginas | 1557-1564 |
| Data de publicação | 2009-11-15 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Clinical Infectious Diseases (JOURNAL) |
| Identificadores do periódico | ISSN: 1058-4838 • E-ISSN: 1537-6591 |
| Editora | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1086/630200 |
| PMID | 19845471 |
| OpenAlex | W2127519617 |
| Idioma | EN |
| Citações recebidas | 95 |
| Referências citadas | 4 |
Google Flu Trends can detect regional outbreaks of influenza 7-10 days before conventional Centers for Disease Control and Prevention surveillance systems. We describe the Google Trends tool, explain how the data are processed, present examples, and discuss its strengths and limitations. Google Trends shows great promise as a timely, robust, and sensitive surveillance system. It is best used for surveillance of epidemics and diseases with high prevalences and is currently better suited to track disease activity in developed countries, because to be most effective, it requires large populations of Web search users. Spikes in search volume are currently hard to interpret but have the benefit of increasing vigilance. Google should work with public health care practitioners to develop specialized tools, using Google Flu Trends as a blueprint, to track infectious diseases. Suitable Web search query proxies for diseases need to be established for specialized tools or syndromic surveillance. This unique and innovative technology takes us one step closer to true real-time outbreak surveillance.
Blueprint · Communicable disease · Data science · Disease · Disease control · Disease surveillance · Environmental health · Infectious disease (medical specialty) · Outbreak · Pathology · Public health · Public health surveillance · Web application · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Influenza Virus Research Studies · Medicine · Respiratory viral infections research · Virology
Google Big Data
Google Trends and Information Seeking Trend of Covid-19 in Indonesia
Asociación entre los datos de enfermedad y la búsqueda de información en España
Using Google Trends Data to Gauge Interest in Virtual Worlds
Recognizing the importance of near-home contact with nature for mental well-being based on the Covid-19 lockdown experience
A difusão do ethos Nova Era e o declínio de seus estudos acadêmicos no Brasil
Spatiotemporal Mapping of Online Interest in Cannabis and Popular Psychedelics before and during the Covid-19 Pandemic in Poland
Contemporary Developments and Perspectives in International Health Security - Volume 1
Migration Research in a Digitized World
Association between an Internet-Based Measure of Area Racism and Black Mortality
Ten years of research change using Google Trends
The Use of Google Trends in Health Care Research
Big Data and Big Cities
Impact of Sickle Cell Awareness Day on online health information seeking in Africa using Google Trends
Agenda Setting in the Internet Age
When do Indians feel hot? Internet searches indicate seasonality suppresses adaptation to heat
Investigating the utility of Google trends for Zika and Chikungunya surveillance in Venezuela
Get Well
Covid-19, lockdowns and well-being
Impact of the Covid-19 Pandemic on Meal Gathering in China
Google Trends and seasonal patterns of dementia in Taiwan and globally
Assessing the impact of small firm dynamics on public mental health amid the pandemic in Latin America
Deep learning models for hepatitis E incidence prediction leveraging Baidu index
Hospitalisations in Brazil
Monitoring of non-cigarette tobacco use using Google Trends
The correlation between Google trends and salmonellosis
Characterizing Influenza surveillance systems performance
Using “Big Data” Versus Alternative Measures of Aggregate Data to Predict the U.S. 2016 Presidential Election
The Relationship between Searches for Covid-19 Vaccines and Dynamics of Vaccinated People in Poland
Developing predictive models for Covid-19 positive tests based on the XGBoost and random forest algorithms with internet search data
Covid-19 Related Early Google Search Behavior and Health Communication in the United States
Computational Forecasting Methodology for Acute Respiratory Infectious Disease Dynamics
Time windows of opportunities to fight earthquake under-insurance
Evidence of the time-varying impacts of the Covid-19 pandemic on online search activities relating to shopping products in South Korea
Data-driven modeling reveals the Western dominance of global public interest in earthquakes
Online public attention toward allergic rhinitis in Wuhan, China
Web-based surveillance of respiratory infection outbreaks
Spatial and Temporal Comparison of Perceived Risks and Confirmed Cases of Lyme Disease
Spatial Characteristics of the Tourism Flows in China
Estimating E-Cigarette Use Prevalence among US Adolescents UsingVaping-Related Online Search Trends
Online Interest for Electronic Cigarettes Using Google Trends in the UK
Haze blocks the windows to the soul
Covid-19 concerns in cyberspace predict human reduced dispersal in the real world
Selecting sensitive web info via conditional probabilities to model economics and financial variables
Precarious Manhood Predicts Support for Aggressive Policies and Politicians
How do Google searches for symptoms, news and unemployment interact during Covid-19? A Lotka–Volterra analysis of google trends data
Is the Effect of Trust on Risk Perceptions a Matter of Knowledge, Control, and Time? An Extension and Direct-Replication Attempt of Siegrist and Cvetkovich (2000)
Human Thermal Conditions and North Europeans’ Web Searching Behavior (Google Trends) on Mediterranean Touristic Destinations
Did Deadpool Save a City? The Social and Economic Impact of “Welcome to Wrexham”
When do people pay attention? Violence and non-violence in political movements and the differential media attention provided
The Covid‐19 pandemic and residential mobility intentions in the United States
Sentiment mapping
What is the importance of climate research? An innovative web-based approach to assess the influence and reach of climate research programs
Investor attention and abnormal performance of timberland investments in the United States
Sistemas de usuario en la gestión online de contenidos biomédicos
Extrapolating understanding of food risk perceptions to emerging food safety cases
Googling environmental issues
Google, Tell Me. Is He Gay? Masculinity, Heterosexuality, and Gendered Anxieties in Google Search Queries about Sexuality
Information flow and Covid-19 recovery
Using Google Trends to assess the impact of global public health days on online health information seeking behaviour in Central and South America
A review of pornography use research
Correlation between Google Trends on dengue fever and national surveillance report in Indonesia
Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015
The infodemic–pandemic nexus
Media, Digital Engagement, and the Dynamics of Attitude Change Toward Foreigners in Switzerland
Determining the nutritional immunity information-seeking behaviour during the Covid-19 pandemic in India
How long do people stick to a diet resolution? A digital epidemiological estimation of weight loss diet persistence
How Covid-19 has shaken the sharing economy? An analysis using Google trends data
Virtually a drug scare
Confucian” traits, entrepreneurial personality, and entrepreneurship in China
Forecasting Chinese tourist volume with search engine data
Spatial-temporal response patterns of tourist flow under impulse pre-trip information search
New Internet search volume-based weighting method for integrating various environmental impacts
Google Insights and U.S. Senate Elections
Using Internet Search Data to Measure Changes in Social Perceptions
Google Flu Trends” and Emergency Department Triage Data Predicted the 2009 Pandemic H1N1 Waves in Manitoba
The utility of Google Trends as a tool for evaluating flooding in data‐scarce places
Spikes and Variance
Information exposure and economic losses during food safety outbreaks
Using Google Search Data for State Politics Research
Empirical Innovations in Policy Analysis
Large-Scale Computerized Text Analysis in Political Science
The Social Determinants of Conspiratorial Ideation
Using Internet Search Data to Produce State-level Measures
Linking Evangelical Subculture and Phallically Insecure Masculinity Using Google Searches for Male Enhancement
Quantifying Anecdotes
Could Google Trends be a tool for monitoring teens' tobacco-related behavior? An ecological study based on national data in Turkey
Google Trends (GT) related to influenza
O uso do Twitter como minerador de eventos adversos de medicamentos de combate à malária
Uso de la herramienta Google Trends para estimar la incidencia de enfermedades tipo influenza en Argentina
Google Trends as a Predictor of Presidential Elections
Digital Trace Data and Demographic Forecasting
Who is Not Afraid of Richard Dawkins? Using Google Trends to Assess the Reach of Influential Atheists across Canadian Secular Groups
Capuchinmonkeyson Social Media
The Proverbs of a Pandemic
| Obras citantes distintas | 95 |
|---|---|
| Citações por ano | 5,94 |
| Intervalo de citações | 2010 - 2026 (17) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 88 |