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Predicting social distancing index during COVID-19 outbreak through online search engines trends

https://doi.org/10.1101/2020.05.28.20115816

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/alr.22580openalex-snapshot

Use of Google Trends to investigate loss‐of‐smell‒related searches during the COVID‐19 outbreak

inferredcites →https://doi.org/10.1016/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.ijid.2020.04.033openalex-snapshot

Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis

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.tmaid.2020.101703openalex-snapshot

Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia

inferredcites →https://doi.org/10.1016/s0140-6736(20)31095-3openalex-snapshot

COVID-19 in Brazil: “So what?”

inferredcites →https://doi.org/10.1016/s1473-3099(20)30129-8openalex-snapshot

Can we contain the COVID-19 outbreak with the same measures as for SARS?

inferredcites →https://doi.org/10.1017/s0950268818002078openalex-snapshot

Prediction of Zika-confirmed cases in Brazil and Colombia using Google Trends

inferredcites →https://doi.org/10.1038/srep20612openalex-snapshot

Individual Differences in Rhythmic Cortical Entrainment Correlate with Predictive Behavior in Sensorimotor Synchronization

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/10.1073/pnas.1708856115openalex-snapshot

Forecasting the spatial transmission of influenza in the United States

inferredcites →https://doi.org/10.1093/jtm/taaa020openalex-snapshot

Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak

inferredcites →https://doi.org/10.1111/eci.13222openalex-snapshot

Coronavirus disease 2019: The harms of exaggerated information and non‐evidence‐based measures

inferredcites →https://doi.org/10.1111/eci.13223openalex-snapshot

Coronavirus disease 2019: the harms of exaggerated information and non-evidence-based measures

inferredcites →https://doi.org/10.1136/bmjgh-2020-002604openalex-snapshot

YouTube as a source of information on COVID-19: a pandemic of misinformation?

inferredcites →https://doi.org/10.15698/cst2020.04.216openalex-snapshot

Coronavirus infections: Epidemiological, clinical and immunological features and hypotheses

inferredcites →https://doi.org/10.2196/12891openalex-snapshot

Impact of Physician-Patient Communication in Online Health Communities on Patient Compliance: Cross-Sectional Questionnaire Study

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/10.2196/18807openalex-snapshot

Preventive Behaviors Conveyed on YouTube to Mitigate Transmission of COVID-19: Cross-Sectional Study

inferredcites →https://doi.org/10.2196/18828openalex-snapshot

Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study

inferredcites →https://doi.org/10.2196/19128openalex-snapshot

Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study

inferredcites →https://doi.org/10.2196/19145openalex-snapshot

The Role of YouTube and the Entertainment Industry in Saving Lives by Educating and Mobilizing the Public to Adopt Behaviors for Community Mitigation of COVID-19: Successive Sampling Design Study

inferredcites →https://doi.org/10.2196/19601openalex-snapshot

Correction: Preventive Behaviors Conveyed on YouTube to Mitigate Transmission of COVID-19: Cross-Sectional Study

inferredcites →https://doi.org/10.2196/19702openalex-snapshot

Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study

inferredcites →https://doi.org/10.2196/jmir.9364openalex-snapshot

Relationship Between Internet Health Information and Patient Compliance Based on Trust: Empirical Study

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/10.2807/1560-7917.es.2020.25.13.2000280openalex-snapshot

Only strict quarantine measures can curb the coronavirus disease (COVID-19) outbreak in Italy, 2020

inferredcites →https://doi.org/10.34172/aim.2020.08openalex-snapshot

Efficacy of Mass Quarantine as Leverage of Health System Governance During COVID-19 Outbreak: A Mini Policy Review

inferredcites →https://doi.org/10.3906/sag-2004-146openalex-snapshot

COVID-19: Prevention and control measures in community

inferredcites →https://doi.org/10.3934/publichealth.2019.1.1openalex-snapshot

Predicting emerging and re-emerging disease outbreaks through internet search trends: An analysis from India

inferredcites →https://doi.org/10.4258/hir.2018.24.4.300openalex-snapshot

Google Search Trends Predicting Disease Outbreaks: An Analysis from India

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.berh.2021.101663openalex-snapshot

COVID-19 pandemic management and the rheumatology patient

inferred← citeshttps://doi.org/10.1080/00222216.2022.2148144openalex-snapshot

COVID-19, mobility, leisure, and travel around the world

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