Early public adherence with and support for stay-at-home COVID-19 mitigation strategies despite adverse life impact: a transnational cross-sectional survey study in the United States and Australia.
Early public adherence with and support for stay-at-home COVID-19 mitigation strategies despite adverse life impact: a transnational cross-sectional survey study in the United States and Australia.
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DOI：
10.1186/s12889-021-10410-x
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发表时间：
2021-03-15
影响因子：
4.5
通讯作者：
Czeisler CA
中科院分区：
文献类型：
--
作者：
Czeisler MÉ;Howard ME;Robbins R;Barger LK;Facer-Childs ER;Rajaratnam SMW;Czeisler CA
世界各国政府建议采取前所未有的措施，以遏制由严重急性呼吸系统综合征冠状病毒2（SARS-CoV-2）引起的2019年冠状病毒病（COVID-19）大流行。随着缩减措施的压力越来越大，了解公共优先事项至关重要。我们评估了在SARS-CoV-2感染率和COVID-19死亡率不同的国家和城市中，公众最初对居家令的遵守和支持情况。对2020年4月2日至8日期间来自不同SARS-CoV-2流行地区的≥18岁成年人代表性样本进行了横断面调查。地区包括两个国家[美国（美国-高患病率）和澳大利亚（澳大利亚-低患病率）]和两个美国城市[纽约市（纽约-高患病率）和洛杉矶（洛杉矶-低患病率）]。截至2020年4月8日，区域SARS-CoV-2和COVID-19患病率（累计SARS-CoV-2感染，COVID-19死亡）：US（363，321，10，845），Au（5956，45），NY（81，803，4571），LA（7530，198）。在8718名合格的潜在受访者中，有5573人（回复率为63.9%）完成了调查。中位年龄为47岁（范围：18-89岁）; 3039例（54.5%）为女性。在5573名受访者中，4560名（81.8%）报告遵守了建议的隔离或呆在家里的政策（样本范围，75.5%-88.2%）。此外，29.1%的受访者对焦虑或抑郁症状的筛查呈阳性（样本范围，28.6-32.0%），与那些没有报告这些行为的人相比，年轻人、女性和大部分时间被隔离或呆在家里的人的患病率更高。尽管不良心理健康症状和严重生活中断的患病率升高，但5022名受访者（90.1%）支持政府实施的呆在家里的命令（样本范围，88.9-93.1%）。其中，90.8%的人认为订单应至少持续三周或直到公共卫生或政府官员建议，支持跨越政治光谱。在受影响程度较高的地区（美国、纽约）和受影响程度较低的地区（Au、LA），公众普遍遵守COVID-19缓解政策。尽管受访者的生活受到干扰，但绝大多数人支持继续延长居家令。尽管有共同的支持，但这两个国家在严格的减排实施方面存在分歧，这可能有助于随后的结果。这些结果揭示了在COVID-19大流行期间和未来传染病爆发期间监测公众对这些政策的支持和遵守的重要性。在线版本包含补充材料，可通过10.1186/s12889-021-10410-x获得。
Governments worldwide recommended unprecedented measures to contain the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As pressure mounted to scale back measures, understanding public priorities was critical. We assessed initial public adherence with and support for stay-at-home orders in nations and cities with different SARS-CoV-2 infection and COVID-19 death rates. Cross-sectional surveys were administered to representative samples of adults aged ≥18 years from regions with different SARS-CoV-2 prevalences from April 2–8, 2020. Regions included two nations [the United States (US—high prevalence) and Australia (AU—low prevalence)] and two US cities [New York City (NY—high prevalence) and Los Angeles (LA—low prevalence)]. Regional SARS-CoV-2 and COVID-19 prevalence (cumulative SARS-CoV-2 infections, COVID-19 deaths) as of April 8, 2020: US (363,321, 10,845), AU (5956, 45), NY (81,803, 4571), LA (7530, 198). Of 8718 eligible potential respondents, 5573 (response rate, 63.9%) completed surveys. Median age was 47 years (range, 18–89); 3039 (54.5%) were female. Of 5573 total respondents, 4560 (81.8%) reported adherence with recommended quarantine or stay-at-home policies (range of samples, 75.5–88.2%). Additionally, 29.1% of respondents screened positive for anxiety or depression symptoms (range of samples, 28.6–32.0%), with higher prevalences among those of younger age, female gender, and those in quarantine or staying at home most of the time versus those who did not report these behaviours. Despite elevated prevalences of adverse mental health symptoms and significant life disruptions, 5022 respondents (90.1%) supported government-imposed stay-at-home orders (range of samples, 88.9–93.1%). Of these, 90.8% believed orders should last at least three more weeks or until public health or government officials recommended, with support spanning the political spectrum. Public adherence with COVID-19 mitigation policies was highly prevalent, in both highly-affected (US, NY) and minimally-affected regions (AU, LA). Despite disruption of respondents’ lives, the vast majority supported continuation of extended stay-at-home orders. Despite common support, these two countries diverged in stringent mitigation implementation, which may have contributed to subsequent outcomes. These results reveal the importance of surveillance of public support for and adherence with such policies during the COVID-19 pandemic and for future infectious disease outbreaks. The online version contains supplementary material available at 10.1186/s12889-021-10410-x.
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影响因子：
4.5
作者：
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通讯作者：
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影响因子：
13.8
作者：
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影响因子：
11.8
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影响因子：
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通讯作者：
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影响因子：
56.9
作者：
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通讯作者：
Lipsitch, Marc