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

Yuki Yamada; Haoqin Xu; Kyoshiro Sasaki

doi:10.12688/f1000research.23713.2

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

Yuki Yamada, Haoqin Xu, Kyoshiro Sasaki

Division for Experimental Natural Science

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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.

Original language	English
Article number	334
Journal	F1000Research
Volume	9
DOIs	https://doi.org/10.12688/f1000research.23713.2
Publication status	Published - 2020

All Science Journal Classification (ASJC) codes

Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Pharmacology, Toxicology and Pharmaceutics(all)

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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.",

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

Abstract

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