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Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2020.6637openalex-snapshot
Symptom Screening at Illness Onset of Health Care Personnel With SARS-CoV-2 Infection in King County, Washington
inferredcites →https://doi.org/10.1001/jamaneurol.2020.1127openalex-snapshot
Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China
inferredcites →https://doi.org/10.1002/alr.22580openalex-snapshot
Use of Google Trends to investigate loss‐of‐smell‒related searches during the COVID‐19 outbreak
inferredcites →https://doi.org/10.1002/asi.23201openalex-snapshot
Data mining from web search queries: A comparison of google trends and baidu index
inferredcites →https://doi.org/10.1007/978-3-319-29854-2openalex-snapshot
Introduction to Time Series and Forecasting
inferredcites →https://doi.org/10.1016/j.ijid.2020.03.021openalex-snapshot
Applications of Google Search Trends for risk communication in infectious disease management: A case study of the COVID-19 outbreak in Taiwan
inferredcites →https://doi.org/10.1016/j.jchf.2020.04.001openalex-snapshot
End-Stage Heart Failure With COVID-19
inferredcites →https://doi.org/10.1016/j.jegh.2017.06.001openalex-snapshot
Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
inferredcites →https://doi.org/10.1016/j.yebeh.2013.11.020openalex-snapshot
Why do people Google epilepsy?
inferredcites →https://doi.org/10.1016/s0140-6736(20)30185-9openalex-snapshot
A novel coronavirus outbreak of global health concern
inferredcites →https://doi.org/10.1038/srep32920openalex-snapshot
High correlation of Middle East respiratory syndrome spread with Google search and Twitter trends in Korea
inferredcites →https://doi.org/10.1056/nejmoa2002032openalex-snapshot
Clinical Characteristics of Coronavirus Disease 2019 in China
inferredcites →https://doi.org/10.1080/16549716.2018.1552652openalex-snapshot
Correlation between Google Trends on dengue fever and national surveillance report in Indonesia
inferredcites →https://doi.org/10.1093/biomet/65.2.297openalex-snapshot
On a Measure of Lack of Fit in Time Series Models
inferredcites →https://doi.org/10.1177/0194599820922992openalex-snapshot
COVID‐19 Anosmia Reporting Tool: Initial Findings
inferredcites →https://doi.org/10.1371/journal.pcbi.1007258openalex-snapshot
Reappraising the utility of Google Flu Trends
inferredcites →https://doi.org/10.1631/jzus.c0910371openalex-snapshot
Notifiable infectious disease surveillance with data collected by search engine
inferredcites →https://doi.org/10.1684/epd.2017.0897openalex-snapshot
Temporal lobe epilepsy? Things are not always what they seem
inferredcites →https://doi.org/10.2196/13680openalex-snapshot
The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review
inferredcites →https://doi.org/10.2196/jmir.1157openalex-snapshot
Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
inferredcites →https://doi.org/10.2196/jmir.2740openalex-snapshot
Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation
inferredcites →https://doi.org/10.2196/jmir.5.2.e14openalex-snapshot
SARS and Population Health Technology
inferredcites →https://doi.org/10.2196/jmir.9366openalex-snapshot
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review
inferredcites →https://doi.org/10.2196/publichealth.5814openalex-snapshot
Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak
inferredcites →https://doi.org/10.2307/2291607openalex-snapshot
Straightforward Statistics for the Behavioral Sciences.
inferredcites →https://doi.org/10.2807/1560-7917.es.2017.22.17.30522openalex-snapshot
Written reminders increase vaccine coverage in Danish children - evaluation of a nationwide intervention using The Danish Vaccination Register, 2014 to 2015
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.10.2000199openalex-snapshot
Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
inferredcites →https://doi.org/10.2807/ese.14.44.19386-enopenalex-snapshot
Interpreting “Google Flu Trends” data for pandemic H1N1 influenza: The New Zealand experience
inferredcites →https://doi.org/10.3758/s13428-015-0611-2openalex-snapshot
Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models
inferredcites →https://doi.org/10.7416/ai.2019.2300openalex-snapshot
Digital epidemiology: assessment of measles infection through Google Trends mechanism in Italy.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Effects of Online Health Information-Seeking Behavior on Sexually Transmitted Disease in China: An Infodemiology Study Based on the Baidu Index
inferred← citeshttps://doi.org/10.1001/jama.2020.6637openalex-snapshot
Symptom Screening at Illness Onset of Health Care Personnel With SARS-CoV-2 Infection in King County, Washington
inferred← citeshttps://doi.org/10.1002/acr2.11207openalex-snapshot
Rise and Fall: Hydroxychloroquine and COVID‐19 Global Trends: Interest, Political Influence, and Potential Implications
inferred← citeshttps://doi.org/10.1002/ajhb.24105openalex-snapshot
The value of publicly engaged podcasting in human biology
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Use of Google Trends to investigate anosmia: power and pitfalls of infodemiology
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Does money motivate prospective foster parents? Are responses from high vs. low‐income towns different? Evidence from Google advertising
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Infoveillance and bibliometric analysis of COVID‐19 in Nigeria
inferred← citeshttps://doi.org/10.1007/978-3-030-91261-1_99-1openalex-snapshot
Sustainably Driven Telemedicine for Chronic Illness Patient Satisfaction: Pre and Post Pandemic
inferred← citeshttps://doi.org/10.1007/978-3-031-13698-6_6openalex-snapshot
The Covid-19 Pandemic in Canadian Newspapers: An Analysis of the Journalistic Articles as Risk and Crisis Messages
inferred← citeshttps://doi.org/10.1007/978-3-031-17461-2_99openalex-snapshot
Sustainably Driven Telemedicine for Chronic Illness Patient Satisfaction: Pre and Post Pandemic
inferred← citeshttps://doi.org/10.1007/978-3-031-17601-2_31openalex-snapshot
Surveying Search Terms for COVID-19 Disease Surveillance
inferred← citeshttps://doi.org/10.1007/s00405-020-06362-4openalex-snapshot
Peaks in online inquiries into pharyngitis-related symptoms correspond with annual incidence rates
inferred← citeshttps://doi.org/10.1007/s11192-021-04066-yopenalex-snapshot
COVID-19 pandemic in the Middle East countries: coronavirus-seeking behavior versus coronavirus-related publications
inferred← citeshttps://doi.org/10.1007/s40797-024-00285-3openalex-snapshot
Unravelling the Web: The Internet’s Double-Edged Impact on COVID-19 Dynamics
inferred← citeshttps://doi.org/10.1016/b978-0-443-15299-3.00010-5openalex-snapshot
Early warning for emerging infectious disease outbreaks: Digital disease surveillance for public health preparedness and response
inferred← citeshttps://doi.org/10.1016/j.ctim.2021.102682openalex-snapshot
The Popularity of the Biologically-Based Therapies During Coronavirus Pandemic Among the Google Users in the USA, UK, Germany, Italy and France
inferred← citeshttps://doi.org/10.1016/j.heliyon.2021.e08499openalex-snapshot
Anosmia-Related Internet Search and the Course of the First Wave of the COVID-19 Pandemic in the United States
inferred← citeshttps://doi.org/10.1016/j.infpip.2024.100382openalex-snapshot
Digital epidemiology: harnessing big data for early detection and monitoring of viral outbreaks
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102654openalex-snapshot
Do you see what I see? Images of the COVID-19 pandemic through the lens of Google
inferred← citeshttps://doi.org/10.1016/j.jchf.2020.04.001openalex-snapshot
End-Stage Heart Failure With COVID-19
inferred← citeshttps://doi.org/10.1016/j.med.2020.12.012openalex-snapshot
Aplicaciones médicas de las redes sociales. Aspectos específicos de la pandemia de la COVID-19
inferred← citeshttps://doi.org/10.1016/j.obmed.2021.100374openalex-snapshot
Increased global online interest in diabetes during the COVID-19 pandemic: An infodemiology study
inferred← citeshttps://doi.org/10.1016/j.vaccine.2020.06.069openalex-snapshot
Silver lining of COVID-19: Heightened global interest in pneumococcal and influenza vaccines, an infodemiology study
inferred← citeshttps://doi.org/10.1017/dmp.2021.249openalex-snapshot
Suitability of Google Trends™ for Digital Surveillance During Ongoing COVID-19 Epidemic: A Case Study from India
inferred← citeshttps://doi.org/10.1021/acs.estlett.5c00851openalex-snapshot
Utilizing Wastewater-Based Surveillance to Monitor Borrelia sp. for the Detection of Lyme Disease in a Nonendemic Region of the United States
inferred← citeshttps://doi.org/10.1038/s41598-021-93836-yopenalex-snapshot
The relationship between Google search interest for pulmonary symptoms and COVID-19 cases using dynamic conditional correlation analysis
inferred← citeshttps://doi.org/10.1038/s41598-024-67146-yopenalex-snapshot
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
inferred← citeshttps://doi.org/10.1075/jaic.25024.pagopenalex-snapshot
Large Language Models, argumentation, and healthcare
inferred← citeshttps://doi.org/10.1080/23737484.2026.2630073openalex-snapshot
Vector autoregression model using behavioral data successfully forecasts COVID-19 cases: An application of big data
inferred← citeshttps://doi.org/10.1080/23744235.2020.1856406openalex-snapshot
The association between COVID-19 cases and deaths and web-based public inquiries
inferred← citeshttps://doi.org/10.1080/23744235.2024.2311281openalex-snapshot
Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking
inferred← citeshttps://doi.org/10.1093/jac/dkac382openalex-snapshot
Outpatient purchasing patterns of hydroxychloroquine and ivermectin in the USA and Canada during the COVID-19 pandemic: an interrupted time series analysis from 2016 to 2021
inferred← citeshttps://doi.org/10.1093/postmj/qgad012openalex-snapshot
Google Trends as a predictive tool in the era of COVID-19: a scoping review
inferred← citeshttps://doi.org/10.1101/2020.05.28.20115816openalex-snapshot
Predicting social distancing index during COVID-19 outbreak through online search engines trends
inferred← citeshttps://doi.org/10.1101/2022.06.26.22276919openalex-snapshot
Explanation of Hand, Foot, and Mouth Disease Cases in Japan Using Google Trends Before and During the COVID-19: Infodemiology Study
inferred← citeshttps://doi.org/10.1108/gkmc-09-2021-0155openalex-snapshot
Comparing health consumer search behavior and scientific research productivity related to COVID-19 vaccines in the USA: an infodemiology study
inferred← citeshttps://doi.org/10.1108/jec-12-2021-0175openalex-snapshot
A review on unprecedented influence of COVID-19 on stock market: what communities should know?
inferred← citeshttps://doi.org/10.1109/bigdataservice55688.2022.00023openalex-snapshot
SoBigDemicSys: A Social Media based Monitoring System for Emerging Pandemics with Big Data
inferred← citeshttps://doi.org/10.1109/iccd59681.2023.10420598openalex-snapshot
The Prediction of Hand, Foot and Mouth Disease (HFMD) with Multi-type Historical Data Based on LSTM
inferred← citeshttps://doi.org/10.1109/menacomm50742.2021.9678227openalex-snapshot
Google Searches and COVID-19 Cases in Saudi Arabia: A Correlation Study
inferred← citeshttps://doi.org/10.1109/tem.2022.3147375openalex-snapshot
Analyzing Cyberchondriac Google Trends Data to Forecast Waves and Avoid Friction: Lessons From COVID-19 in India
inferred← citeshttps://doi.org/10.1111/jdv.19989openalex-snapshot
Burden of atopic dermatitis in Europe: A population‐centred approach leveraging web search data in 21 European countries
inferred← citeshttps://doi.org/10.1111/tgis.13016openalex-snapshot
Revealing the spatiotemporal characteristics of the general public's panic levels during the pandemic crisis in China
inferred← citeshttps://doi.org/10.1136/bmjopen-2021-056716openalex-snapshot
Online queries as a criterion for evaluating epidemiological status and effectiveness of COVID-19 control measures in Russia: results from Yandex.Wordstat analysis
inferred← citeshttps://doi.org/10.1140/epjds/s13688-021-00263-0openalex-snapshot
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1145/3494531openalex-snapshot
A High-resolution Global-scale Model for COVID-19 Infection Rate
inferred← citeshttps://doi.org/10.1159/000527150openalex-snapshot
Online Search Patterns about Vaccination: A National Study
inferred← citeshttps://doi.org/10.1177/0165551521989531openalex-snapshot
Impact of COVID-19 on search in an organisation
inferred← citeshttps://doi.org/10.1177/10105395211030126openalex-snapshot
Public Awareness as a Line of Defense Against COVID-19 in Taiwan
inferred← citeshttps://doi.org/10.1177/20552076231173220openalex-snapshot
Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review
inferred← citeshttps://doi.org/10.1177/22799036261474138openalex-snapshot
Evaluation of Google search trends for COVID-19 vaccination administration efforts within an urban department of public health
inferred← citeshttps://doi.org/10.1177/2473974x20970176openalex-snapshot
COVID‐19 Status Differentially Affects Olfaction: A Prospective Case‐Control Study
inferred← citeshttps://doi.org/10.1186/s12874-021-01338-2openalex-snapshot
Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity
inferred← citeshttps://doi.org/10.1186/s12879-022-07790-9openalex-snapshot
Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study
inferred← citeshttps://doi.org/10.1186/s12879-026-13089-wopenalex-snapshot
A COVID-19 prediction Model based on symptomatology google trends and its optimization
inferred← citeshttps://doi.org/10.1186/s12889-025-25569-wopenalex-snapshot
Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data
inferred← citeshttps://doi.org/10.1186/s13601-020-00352-9openalex-snapshot
Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.1371/journal.pntd.0008758openalex-snapshot
Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system
inferred← citeshttps://doi.org/10.1371/journal.pone.0237277openalex-snapshot
Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers
inferred← citeshttps://doi.org/10.1371/journal.pone.0266276openalex-snapshot
Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia
inferred← citeshttps://doi.org/10.1371/journal.pone.0266299openalex-snapshot
Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020
inferred← citeshttps://doi.org/10.1371/journal.pone.0267818openalex-snapshot
Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran
inferred← citeshttps://doi.org/10.1371/journal.pone.0294261openalex-snapshot
Online search interest in long-term symptoms of coronavirus disease 2019 during the COVID-19 pandemic in Japan: Infodemiology study using the most visited search engine in Japan
inferred← citeshttps://doi.org/10.1590/0102-311x00270720openalex-snapshot
Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends
inferred← citeshttps://doi.org/10.1590/1678-4324-2022210648openalex-snapshot
Correlations between Web Searches and COVID-19 Epidemiological Indicators in Brazil
inferred← citeshttps://doi.org/10.17576/islamiyyat-2023-4501-22openalex-snapshot
Supply and Demand of Quranic Information in the Web Environment: A Decade of Infodemiology Study in Iran
inferred← citeshttps://doi.org/10.18235/0004914openalex-snapshot
Implementación de inteligencia artificial para mejorar la atención de la retinopatía diabética en el Estado de Jalisco, México
inferred← citeshttps://doi.org/10.20517/ohir.2022.01openalex-snapshot
The use and applicability of Internet search queries for infectious disease surveillance in low- to middle-income countries
inferred← citeshttps://doi.org/10.21037/atm-22-3064openalex-snapshot
An online longitudinal study about search index reflexing public attention of vaccinate against COVID-19
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4456499/v1openalex-snapshot
Systematic review of health research using internet search data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-504124/v1openalex-snapshot
A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques
inferred← citeshttps://doi.org/10.2196/100492openalex-snapshot
Multisource Early Warning Framework Integrating Regional Pathogen Surveillance and Baidu Index Data for Respiratory Infectious Disease Prediction in Beijing: Retrospective Time-Series Modeling Study
inferred← citeshttps://doi.org/10.2196/19354openalex-snapshot
Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/19791openalex-snapshot
Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study
inferred← citeshttps://doi.org/10.2196/20426openalex-snapshot
Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/20914openalex-snapshot
The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
inferred← citeshttps://doi.org/10.2196/21817openalex-snapshot
Online Search Trends Influencing Anticoagulation in Patients With COVID-19: Observational Study
inferred← citeshttps://doi.org/10.2196/23098openalex-snapshot
Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index
inferred← citeshttps://doi.org/10.2196/23518openalex-snapshot
COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study
inferred← citeshttps://doi.org/10.2196/24285openalex-snapshot
Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation
inferred← citeshttps://doi.org/10.2196/24445openalex-snapshot
Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation
inferred← citeshttps://doi.org/10.2196/26644openalex-snapshot
Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries
inferred← citeshttps://doi.org/10.2196/32127openalex-snapshot
Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/32386openalex-snapshot
Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/43046openalex-snapshot
The Effects of Online Health Information–Seeking Behavior on Sexually Transmitted Disease in China: Infodemiology Study of the Internet Search Queries
inferred← citeshttps://doi.org/10.2196/43253openalex-snapshot
Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data
inferred← citeshttps://doi.org/10.2196/46357openalex-snapshot
Vector Autoregression for Forecasting the Number of COVID-19 Cases and Analyzing Behavioral Indicators in the Philippines: Ecologic Time-Trend Study
inferred← citeshttps://doi.org/10.2196/47154openalex-snapshot
Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review
inferred← citeshttps://doi.org/10.2196/49185openalex-snapshot
Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review
inferred← citeshttps://doi.org/10.2196/52306openalex-snapshot
Web-Based Search Volume for HIV Tests and HIV-Testing Preferences During the COVID-19 Pandemic in Japan: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/63476openalex-snapshot
Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study
inferred← citeshttps://doi.org/10.2196/preprints.20866openalex-snapshot
An evolutionary clustering analysis of the social media content and global infection rate during the COVID-19 pandemic (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.20868openalex-snapshot
Epistemic responsibilities in the age of COVID-19: Is Google a friend or a foe? (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.21390openalex-snapshot
Web searches related to insomnia correlate with the escalation/de-escalation measures enforced during the COVID-19-induced quarantine and lockdown in Italy: insights from a Big Data-based infodemiological survey (Preprint)
inferred← citeshttps://doi.org/10.2196/preprints.25985openalex-snapshot
Suitability of Google Trends™ for digital surveillance during ongoing COVID-19 epidemic: a case study from India (Preprint)
inferred← citeshttps://doi.org/10.22323/2.19070206openalex-snapshot
YouTube as a source of information on chloroquine and hydroxychloroquine during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.23750/abm.v91i3.10030openalex-snapshot
Google search volume predicts the emergence of COVID-19 outbreaks.
inferred← citeshttps://doi.org/10.26441/rc21.2-2022-a11openalex-snapshot
Twitter como herramienta de comunicación institucional: la Casa Real Británica y la Casa Real Española en el contexto postpandémico
inferred← citeshttps://doi.org/10.26559/mersinsbd.842118openalex-snapshot
Google arama motoru Türkiye’de Covid-19 salgınının yayılımının izlenmesinde ve tahmininde kullanılabilir mi?
inferred← citeshttps://doi.org/10.2807/1560-7917.es.2020.25.10.2000199openalex-snapshot
Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
inferred← citeshttps://doi.org/10.3145/epi.2021.ene.19openalex-snapshot
Uso institucional de Twitter para combatir la infodemia causada por la crisis sanitaria de la Covid-19
inferred← citeshttps://doi.org/10.31893/multirev.2023017openalex-snapshot
Use of Google Trends database during the COVID-19 pandemic: systematic review
inferred← citeshttps://doi.org/10.33667/2078-5631-2020-34-47-53openalex-snapshot
Infodemiological study of coronavirus epidemic using Google Trends in Central Asian Republics of Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan
inferred← citeshttps://doi.org/10.3389/fpubh.2022.1025658openalex-snapshot
Construction and validation of a COVID-19 pandemic trend forecast model based on Google Trends data for smell and taste loss
inferred← citeshttps://doi.org/10.3389/fpubh.2023.1098066openalex-snapshot
Did the COVID-19 pandemic impact urticaria information-seeking behavior in China? A retrospective longitudinal study
inferred← citeshttps://doi.org/10.3390/app11093872openalex-snapshot
Modelling The Degree Of Emotional Concern: COVID-19 Response In Social Media
inferred← citeshttps://doi.org/10.3390/bdcc5030030openalex-snapshot
Big Data Research in Fighting COVID-19: Contributions and Techniques
inferred← citeshttps://doi.org/10.3390/bs15101404openalex-snapshot
The Impact of Noise Pollution on Cognitive Function in Middle-Aged and Older Adults: Empirical Evidence from the CHARLS
inferred← citeshttps://doi.org/10.3390/e27070686openalex-snapshot
A Forecast Model for COVID-19 Spread Trends Using Blog and GPS Data from Smartphones
inferred← citeshttps://doi.org/10.3390/ijerph191912394openalex-snapshot
Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
inferred← citeshttps://doi.org/10.3390/microorganisms14102253openalex-snapshot
When Testing Went Quiet, the Sewers Kept Talking: A Five-Year SARS-CoV-2 Wastewater Surveillance from Munich
inferred← citeshttps://doi.org/10.3390/nu15173773openalex-snapshot
Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study
inferred← citeshttps://doi.org/10.3390/pathogens14070658openalex-snapshot
Wastewater Surveillance for Group A Streptococcus pyogenes in a Small City
inferred← citeshttps://doi.org/10.3390/soc13040091openalex-snapshot
Official Information on Twitter during the Pandemic in Spain
inferred← citeshttps://doi.org/10.36512/rcics.v31i3.1631openalex-snapshot
Análisis exploratorio de las tendencias de búsqueda en internet durante el brote de la COVID-19
inferred← citeshttps://doi.org/10.37838//unicen/est.28-059openalex-snapshot
El fenómeno de mortalidad por suicidio en México: patrones territoriales a partir de 20 años de información
inferred← citeshttps://doi.org/10.4103/pjog.pjog_49_23openalex-snapshot
Regional differences in online interest in COVID-19 infection and COVID-19 vaccine in pregnancy: A Google Trends analysis
inferred← citeshttps://doi.org/10.4185/rlcs-2023-1874openalex-snapshot
La Moncloa en Twitter: un análisis cuantitativo en la era post COVID
inferred← citeshttps://doi.org/10.47582/jompac.870310openalex-snapshot
COVID-19 salgınıyla ilişkili semptomların Türkiye’den gerçekleştirilen internet arama motoru sorgularının incelenmesi
inferred← citeshttps://doi.org/10.51645/khj.2021.m39openalex-snapshot
In Covid-19 Era, STEMI Decreasing may Predicted with Google-Trend Data by Time-series Model
inferred← citeshttps://doi.org/10.52704/bssocialscience.980738openalex-snapshot
Determining the Global Corona Agenda via Google Trends
inferred← citeshttps://doi.org/10.6084/m9.figshare.13181554openalex-snapshot
Additional file 1 of Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.6084/m9.figshare.13710908openalex-snapshot
Additional file 1 of Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.6084/m9.figshare.15001323openalex-snapshot
Additional file 1 of Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity
inferred← citeshttps://doi.org/10.6084/m9.figshare.15001326openalex-snapshot
Additional file 2 of Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity
inferred← citeshttps://doi.org/10.7249/rhq-11-01-08openalex-snapshot
Syndromic Surveillance 2.0: Emerging Global Surveillance Strategies for Infectious Disease Epidemics
inferred← citeshttps://doi.org/10.7759/cureus.10487openalex-snapshot
Global Interest in Telehealth During COVID-19 Pandemic: An Analysis of Google Trends™
inferred← citeshttps://doi.org/10.7759/cureus.25574openalex-snapshot
Language Barriers to Online Search Interest for COVID-19: A Global Infodemiological Study
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