# Risk perceptions of COVID-19 in Beijing: a cross-sectional study

## TL;DR

This study explores how residents in Beijing perceive the risks of COVID-19 and identifies factors like gender and education that influence these perceptions.

## Contribution

The study introduces a new 11-item scale to measure and analyze the structure and predictors of COVID-19 risk perceptions.

## Key findings

- Risk perceptions are significantly influenced by other risk dimensions except perceived societal control.
- Gender, education, and infectious experience are correlated with all risk perception dimensions.
- The study highlights the importance of understanding diverse risk perceptions for public health strategies.

## Abstract

The Chinese government has ended the “dynamic zero-COVID” policy, and residents are now living together with the SARS-CoV-2 virus. Only a limited number of studies have investigated the specific content and structure of COVID-19-related risk perceptions, as well as their underlying determinants. This study measured the residents’ risk perception of COVID-19 and analyzed the predictors of RP.

We conducted a comprehensive questionnaire-based survey among residents mostly in Beijing, using a specially designed scale consisting of 11 items to accurately measure COVID-19 risk perceptions. We then utilized multiple linear regression analysis to investigate the factors associated with risk perceptions.

A total of 60,039 residents participated in the survey. Our study reveals that COVID-19-related worries are significantly influenced by other dimensions of RP (p < 0.001), except for perceived society’s control of the epidemic. Several experiential and socio-demographic factors, including gender, educational level, and infectious experience, are notably correlated with all dimensions of risk perceptions of COVID-19.

This study evaluates the specific content and structure of COVID-19-related risk perceptions, as well as their determinants. It is essential to understand the risk perceptions and health-protective behaviors of residents with diverse educational levels, incomes, and medical histories.