Article

Google Search Interests and New Cases of COVID-19 in Bangladesh: A Vector Autoregression Analysis for Disease Surveillance

2021-02-22

Abstract excerpt

<h4>Background: </h4> The use of Google search engine has been widely used in public health-related concerns. Previous studies found that Google search trends (GST) can predict influenza, mortality, Zika epidemics, Ebola, etc. This study examines the relationship between the timing of Coronavirus-related Google search trends, lockdown, and new cases of COVID-19 in Bangladesh. <h4>Methods:</h4> We use national-leve...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c17750cf-1f80-5572-a6ae-705c8bf4c758
DOI: 10.22541/au.161403576.61128353/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Google Search Interests and New Cases of COVID-19 in Bangladesh: A Vector Autoregression Analysis for Disease SurveillanceDOI 10.22541/au.161403576.61128353/v1Read

Forecasting the COVID-19 epidemic integrating symptom search behavior: an infodemiology studySemantic proximity Read

Suitability of Google Trends™ for digital surveillance during ongoing COVID-19 epidemic: a case study from IndiaSemantic proximity Read

Trends and prediction in daily incidence and deaths of COVID-19 in the United States: a search-interest based modelSemantic proximity Read

Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational StudySemantic proximity Read

COVID-19 Hospitalizations Forecasts Using Internet Search DataSemantic proximity Read

Monitoring COVID-19 related public Interest and population Health Literacy in South Asia: An Internet Search-Interest Based ModelSemantic proximity Read

PREPRINT: Using digital epidemiology methods to monitor influenza-like illness in the Netherlands in real-time: the 2017-2018 seasonSemantic proximity Read

Real-Time Monitoring of the Trends of GI Symptoms Searched on the Internet Effectively Predicts the COVID-19 OutbreakSemantic proximity Read

Modeling Zika Virus Spread in Colombia Using Google Search Queries and Logistic Power ModelsSemantic proximity Read

Digital Epidemiology for Epidemic Forecasting: Evaluating Twitter Emotion Signals and Google Symptom Searches Using Prophet and SARIMAX ModelsSemantic proximity Read

Second Wave and Pandemic Situation of COVID-(2020-2021) In BangladeshSemantic proximity Read

Analysis on Action Tracking Reports of COVID-19 Informs Control Strategies and Vaccine Delivery in Post-Pandemic EraSemantic proximity Read