Evidence map›Paper›PMID 39043714›Full record

ArticleScientific reports2024

COVID-19 risk perceptions in Japan: a cross-sectional study.

Asako Chiba, Taisuke Nakata, Thuy Linh Nguyen, Reo Takaku

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

4 authors.

Asako ChibaTokyo Foundation for Policy Research, 3-2-1 Roppongi, Minato, Tokyo, 106-6234, Japan.
Taisuke NakataGraduate School of Economics, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan.
Thuy Linh NguyenGraduate School of Economics, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan. thuylinh.nguyen@e.u-tokyo.ac.jp.
Reo TakakuGraduate School of Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo, 186-8601, Japan.

Funding

JSPS Grant-in-Aid for Scientific Research (KAKENHI) 22H04927
6 · The paper itself

Abstract

We conducted a large-scale online survey in February 2023 to investigate the public's perceptions of COVID-19 infection and fatality risks in Japan. We identified two key findings. First, univariate analysis comparing perceived and actual risk suggested overestimation and nonnegligible underestimation of COVID-19 risk. Second, multivariate logistic regression analyses revealed that age, income, education levels, health status, information sources, and experiences related to COVID-19 were associated with risk perceptions. Given that risk perceptions are closely correlated with daily socioeconomic activities and well-being, it is important for policy-makers and public health experts to understand how to communicate COVID-19 risk to the public effectively.

Indexed as

COVID-19AdolescentAdultAgedCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedPerceptionSARS-CoV-2Surveys and QuestionnairesYoung Adult

Identifiers

PMID39043714
PMCPMC11266719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.