Public views of covid science - Trust and uncertainty Tables

This document provides the summary statistics from a subset of data collected from a YouGov survey conducted in Nov 2020. The data covers respondents answers to questions about: level of public trust in scientists and scientific information about the coronavirus pandemic in March 2020 and November 2020; views about the communication of scientific uncertainty; views about whether public information is an accurate representation of coronavirus science; views about whether the impact of coronavirus science had had a positive or negative effect on the response; views about confidence in the accuracy of coronavirus science; whether scientists all agreed about coronavirus science; and whether coronavirus science was available and accessible to everyone. The sample comprised 2,025 individuals living in England, with key characteristics of respondents including: age, gender, ethnicity, whether they were a carer, a keyworker, whether they had had advice to shield from the NHS, and whether they believed they had had coronavirus. This data forms the basis of the descriptive statistics paper titled "Public views of coronavirus science and scientists: findings from a cross-sectional survey." The main dataset is also available on request here: https://doi.org/10.5523/bris.dexqujusyqvd2fxm8lxd2w321

本文件呈现了2020年11月开展的YouGov调研中部分采集数据的描述性统计结果。本次数据集涵盖受访者针对以下问题的回答：2020年3月与2020年11月期间，公众对科学家及新冠疫情相关科学信息的信任程度；对科学不确定性传播的看法；对公众信息是否准确呈现新冠相关科学内容的看法；对新冠科学的影响为疫情应对带来正向还是负向作用的看法；对新冠科学内容准确性的信心程度；科学家在新冠相关科学问题上是否达成共识；以及新冠科学信息是否可被全体民众获取。调研样本包含2025名居住在英格兰的受访者，受访者的核心特征包括：年龄、性别、族裔、是否为护理人员、是否为关键岗位工作者、是否收到英国国民保健署（NHS）的居家隔离建议，以及是否曾感染新冠病毒。本数据集为题为"Public views of coronavirus science and scientists: findings from a cross-sectional survey."的描述性统计论文提供了数据基础。完整数据集可根据要求通过以下链接获取：https://doi.org/10.5523/bris.dexqujusyqvd2fxm8lxd2w321