Evidence map›Paper›PMID 35018341›Full record

ArticleTransportation research interdisciplinary perspectives2022

Construct validation of the COVID-19 Cavalier Scale: Analysis of indirect effects with optimism on likelihood to travel.

Stephen Bok, Daniel E Martin, Erik Acosta, Maria Lee, James Shum

Abstract read
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Stephen BokDepartment of Marketing, College of Business and Economics, California State University East Bay, United States.
Daniel E MartinDepartment of Marketing, College of Business and Economics, California State University East Bay, United States.
Erik AcostaDepartment of Management, College of Business and Economics, California State University East Bay, United States.
Maria LeeUniversity of California, Irvine, United States.
James ShumLoyola Marymount University, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a highly contagious disease that killed hundreds of thousands of people and crippled the tourism industry. Despite potential death, many people resumed life as if there was no pandemic. The obscure nature of diseases and overly optimistic beliefs about personal health fostered a unique COVID-19 cavalier phenomenon. These people professed, "It's just like the flu." Many engaged in passive (e.g., ignoring mask policies) and active (e.g., COVID parties) behaviors that risked exposure, believing it will generate safe immunity. The COVID-19 cavalier believe they are invulnerable to major adverse complications and communal exposure results in immunity. Identifying and understanding caviler individuals will help control the spread of diseases and reopen society for tourism. The design and validation of the 9-item COVID-19 cavalier scale (CCS) provided a tool for researchers to study these individuals. The economical measure demonstrated discriminant validity with practical public health traveling implications.

Indexed as

CavalierOptimismReliabilitySARS-CoV-2Travel likelihood

Identifiers

PMID35018341
PMCPMC8739015

What OpenQuestion holds

Textmetadata
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.