Evidence map›Paper›PMID 36424966›Full record

ArticleFrontiers in public health2022

Web search behaviors and infodemic attitudes regarding COVID-19 in Turkey: A framework study for improving response and informing policy on the COVID-19 infodemic.

Cüneyt Çalışkan, Gözde Özsezer, Melek Pay, Gülcan Demir, Ismet Çelebi, Hüseyin Koçak

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 2 countries.

Cüneyt ÇalışkanDepartment of Emergency Aid and Disaster Management, Hamidiye Faculty of Health Sciences, University of Health Sciences, Istanbul, Turkey.
Gözde ÖzsezerDepartment of Public Health Nursing, Nursing Faculty, Ege University, İzmir, Turkey.
Melek PayDepartment of Paramedic, Fethiye Vocational School of Health Services, Muǧla Sıtkı Koçman University, Muǧla, Turkey.
Gülcan DemirVocational School of Health Services, Sinop University, Sinop, Turkey.
Ismet ÇelebiDepartment of Paramedic, Gazi University, Ankara, Turkey.
Hüseyin KoçakDepartment of Emergency Aid and Disaster Management, Faculty of Health Sciences, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Çanakkale Onsekiz Mart Üniversitesi · TREge University · TRGazi University · TRMuğla University · TRSağlık Bilimleri Üniversitesi · TRSinop University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop a framework regarding COVID-19 infodemic response and policy informing through focusing on infodemic concepts circulating on the online search engine in Turkey in relation to the COVID-19 outbreak and comparing the contents of these concepts with Maslow's hierarchy of needs and disaster stages. Materials and methods: The universe of this descriptive epidemiological research consists of internet search activities on COVID-19 circulating online on Google Trends between March 10, 2020, when the first case was seen in Turkey, and June 01, 2020, when the lockdown restrictions were lifted. Findings: There was no internet trend regarding a misinformed attitude within the given date range. While an infodemic attitude toward superficial attitude and racist attitude in the internet environment was detected for 1 week, an infodemic attitude toward definitive attitude was detected for 2 weeks. The non-infodemic concepts were more common than the other infodemic attitudes. The infodemic concepts were able to reach Maslow's physiological, safety, and social need levels. With the infodemic concepts obtained, a COVID-19 development process framework was developed. The framework consists of three domains (COVID-19, applications and outcomes), including disaster phases and health/social impacts, built on seven public health epochs. Results: A systematized COVID-19 development process framework was modeled in order to conceptualize COVID-19 internet searches and to reveal the development processes and outcomes.

Indexed as

COVID-19Communicable Disease ControlHumansPolicySearch EngineTurkeyCOVID-19disastersfears COVID-19-relatedinfodemicMaslow's hierarchy of needspandemicsweb searches

Identifiers

PMID36424966
PMCPMC9679637
OpenAlexW4308595122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.