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

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

scientific article published on 16 April 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) artículu científicu espublizáu n'abril de 2020 (ast) наукова стаття, опублікована 16 квітня 2020 (uk) scientific article published on 16 April 2020 (en)
publication date	wds:Q92038339-6194A735-2D2C-4A18-8737-867F7CE415AE
publication date	2020-04-16 00:00:00Z (xsd:dateTime)
cites work	wds:Q92038339-07DB5161-37B8-4AAD-804F-539B97D4C795 wds:Q92038339-33B3DBCF-E947-42ED-A6D5-8D013BA2C0E0 wds:Q92038339-3B31F18F-1643-4E1A-B3DE-3B869B170EB1 wds:Q92038339-4853586C-6628-46A3-849A-AAE8ABC9D850 wds:Q92038339-4DA84BD1-AE19-42BF-B5E6-9438D8C29195 wds:Q92038339-55DAA0E1-9859-4C85-9086-138CAC5865D4 wds:Q92038339-59262691-6365-4A1B-8398-F40E8F6C550B wds:Q92038339-60C300DB-5EAD-4F1B-9F8E-187ADA596F8C wds:Q92038339-6FE99BE8-D7E7-4282-933D-E13CBB86CA99 wds:Q92038339-741AFD9A-FB63-4120-B126-36D1DCB41DF7 wds:Q92038339-77FC5E5D-AA51-424D-9DE4-2C956857B253 wds:Q92038339-80E2B0DC-80F0-4E8C-BECD-64C8C4074C33 wds:Q92038339-83DB576D-B6B4-48A5-A101-241A053B7C33 wds:Q92038339-95B8D139-7A64-42F8-8BB7-13FEDDD1E035 wds:Q92038339-AAFBD586-144A-439A-8EBF-C1886CBDF6C6 wds:Q92038339-B671153C-5DF2-40DC-91AB-E68DB521E60D wds:Q92038339-BD2F9EC0-8763-407B-BF9F-69C26FB324E7 wds:Q92038339-C0F1040C-86AE-406C-BF7E-BF73F4A60FE1 wds:Q92038339-D25F9007-5701-4834-B032-BD8D0B68952F wds:Q92038339-DC73BF04-F995-4780-B6B7-5741CC815504 wds:Q92038339-EE13B876-D117-4A40-B5ED-65FB19FB3B6E wds:Q92038339-FFBC2547-1703-4D3D-A045-CFC2660521FE
cites work	Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic Severe respiratory disease concurrent with the circulation of H1N1 influenza. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet The use of google trends in health care research: a systematic review Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study Characterizing Ebola Transmission Patterns Based on Internet News Reports What can Google and Wikipedia can tell us about a disease? Big Data trends analysis in Systemic Lupus Erythematosus A novel coronavirus outbreak of global health concern COVID-19: what is next for public health? Using Baidu Search Index to Predict Dengue Outbreak in China Correlation between Google Trends on dengue fever and national surveillance report in Indonesia Using Google Trends to investigate global COPD awareness Google Trends in Infodemiology and Infoveillance: Methodology Framework Using Google Trends to assess global public interest in osteoarthritis Google Trends: Opportunities and limitations in health and health policy research Capturing public interest toward new tools for controlling human immunodeficiency virus (HIV) infection exploiting data from Google Trends. Google Search Trends in Oncology and the Impact of Celebrity Cancer Awareness Using "outbreak science" to strengthen the use of models during epidemics The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland Success of Prostate and Testicular Cancer Awareness Campaigns Compared to Breast Cancer Awareness Month According to Internet Search Volumes: A Google Trends Analysis Internet search query analysis can be used to demonstrate the rapidly increasing public awareness of palliative care in the USA. Infodemiology of antiphospholipid syndrome: Merging informatics and epidemiology
author name string	wds:Q92038339-7740CE01-6097-4F0D-917D-F7DDC500C917 wds:Q92038339-8B252778-D71D-4CB3-8CC4-CD4136CA6076 wds:Q92038339-8DB1D818-235D-4554-A54F-032019B4ED0C wds:Q92038339-99307A37-F196-4AFF-8916-BFE34439633F wds:Q92038339-C4E20E05-F473-4154-A61B-947D67A940C1
author name string	Jae Il Shin Paul Perco Herbert Tilg Andreas Kronbichler Maria Effenberger
rdfs:label	Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (en) Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (nl)
skos:prefLabel	Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (en) Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (nl)
name	Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (en) Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (nl)
author	wds:Q92038339-F78A3599-86B0-4E86-A819-5120A43472C2
author	Gert Mayer
title	wds:Q92038339-75D117C4-D069-48F1-9154-1BC089262F06
title	Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis (en)
instance of	wds:Q92038339-1a99253e-82b4-4954-a5a8-5dc9797bfa78 wds:Q92038339-E2408654-0B42-446B-9A4B-B9F5C95B2F83
instance of	review article scholarly article
main subject	wds:Q92038339-05CB29CA-64E1-4296-B071-B4B28489FE95 wds:Q92038339-25EFEEE5-91B9-4C07-89EC-7E30A6B08705 wds:Q92038339-91CAA1EE-2328-4FA2-AAAB-1D86B36652A1 wds:Q92038339-BBB0131C-2404-4A1B-B24C-735BA71ABDE6 wds:Q92038339-BCC7402E-FD56-4711-8280-1A4C4292285F
main subject	SARS-CoV-2 COVID-19 pandemic pandemic COVID-19 mortality Google
PubMed ID	wds:Q92038339-6861BC61-44D9-4830-ADC7-A9E9775EF2F4
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32305520
PubMed ID	32305520
published in	wds:Q92038339-924513E7-EA81-4536-AF10-5D6B005322D1
published in	International Journal of Infectious Diseases
DOI	wds:Q92038339-FC25849A-E81D-46EA-8992-0A3A39BD58EB
DOI	http://dx.doi.org/10.1016/J.IJID.2020.04.033
DOI	10.1016/J.IJID.2020.04.033
describes a project that uses	wds:Q92038339-991C8FC4-872A-4B6B-8689-F4E8ECA26A0A
describes a project that uses	ggplot2
Dimensions Publication ID	wds:Q92038339-5B737B87-9AE5-4381-9DDE-CB18DF292610
Dimensions Publication ID	1126724065
PMCID	wds:Q92038339-1DFB38BC-69EF-4724-8118-6CF6E7A5B70C
PMCID	7162745
COVIDWHO ID	wds:Q92038339-4B466662-CD41-49A1-8AB5-7272792CDAA7

Faceted Search & Find service v1.16.117 as of May 05 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of May 5 2024, on Linux (x86_64-centos_6-linux-gnu), Single-Server Edition (378 GB total memory, 190 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software