Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China.
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Biomed Res Int. 2021 May 28;2021:6610045. doi: 10.1155/2021/6610045. eCollection 2021.
This study is aimed at confirming the effectiveness of nonpharmaceutical interventions during the COVID-19 outbreak in Hubei, China.
The data are all from the epidemic information released by the National Health Commission of the People's Republic of China and the Health Commission of Hubei Province. We used the multivariable linear regression by the SPSS 19.0 software: the cumulative number of confirmed cases, the cumulative number of cured cases, and the number of daily severe cases were taken as dependent variables, and the six policies, including the Joint Prevention and Control Mechanism of the State Council, lockdown Wuhan city, the first-level response to public health emergencies, the expansion of medical insurance coverage to suspected patients, mobile cabin hospitals, and counterpart assistance in Hubei province, were gradually entered into multiple linear regression models as independent variables.
The factors influencing the cumulative number of diagnosed cases ranged from large to small: mobile cabin hospitals and the expansion of medical insurance coverage to suspected patients. The factors influencing the cumulative number of cured cases ranged from large to small: counterpart support medical teams in Hubei province and mobile cabin hospitals. The factors influencing the number of daily severe cases ranged from large to small: mobile cabin hospitals and the expansion of medical insurance coverage to suspected patients.
The mobile cabin hospital is a major reason for the successfully defeating COVID-19 in China. As COVID-19 pandemic spreads globally, the mobile cabin hospital is a successful experience in formulating policies to defeat COVID-19 for other countries in the outbreak phase.
本研究旨在确认中国湖北省 COVID-19 疫情期间非药物干预措施的有效性。
数据均来自中华人民共和国国家卫生健康委员会和湖北省卫生健康委员会发布的疫情信息。采用 SPSS 19.0 软件的多变量线性回归:将累计确诊病例数、累计治愈病例数和每日重症病例数作为因变量,将国务院联防联控机制、武汉封城、突发公共卫生事件一级响应、扩大疑似患者医疗保险覆盖范围、移动方舱医院和对口支援湖北省等六项政策逐步纳入多变量线性回归模型作为自变量。
影响确诊病例累计数的因素从大到小依次为:移动方舱医院和扩大疑似患者医疗保险覆盖范围。影响累计治愈病例数的因素从大到小依次为:对口支援湖北省医疗队和移动方舱医院。影响每日重症病例数的因素从大到小依次为:移动方舱医院和扩大疑似患者医疗保险覆盖范围。
移动方舱医院是中国成功战胜 COVID-19 的重要原因。随着 COVID-19 疫情在全球范围内蔓延,移动方舱医院是在疫情爆发阶段制定战胜 COVID-19 政策的成功经验。