Evidence map›Paper›PMID 32934802›Full record

ArticleF1000Research2020

A dataset for the perceived vulnerability to disease scale in Japan before the spread of COVID-19.

Yuki Yamada, Haoqin Xu, Kyoshiro Sasaki

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Yuki YamadaFaculty of Arts and Science, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-1431-568X
Haoqin XuGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
Kyoshiro SasakiFaculty of Informatics, Kansai University, Takatsuki, Japan.ORCID 0000-0002-5496-3748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak is a worldwide medical and epidemiological catastrophe, and the number of psychological studies concerning COVID-19 is growing daily. Such studies need baseline data from before the COVID-19 outbreak for comparison, but such datasets have not yet been accumulated and shared. Here, we provide a dataset on the perceived vulnerability to disease scale for 1382 Japanese participants obtained through an online survey conducted in 2018 that will be useful for comparison with current or post-COVID-19 perceived vulnerability to disease data.

Indexed as

Coronavirus InfectionsDisease SusceptibilityPneumonia, ViralAdultBetacoronavirusCOVID-19Datasets as TopicFemaleHumansJapanMalePandemicsSARS-CoV-2coronavirusdisgustemotiongerm aversionJapaneseperceived infectability

Identifiers

PMID32934802
PMCPMC7468562

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.