Abstract
Background This study is aimed at confirming the effectiveness of nonpharmaceutical interventions during the COVID-19 outbreak in Hubei, China. Methods 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. Results 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. Conclusion 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.
Highlights
COVID-19 continues to spread around the world
In order to contain the ongoing outbreak of COVID-19 in Hubei province, from January 20 to February 12, the Hubei government has adopted a series of prevention and control policies, which are summarized in the following six items (Table 1): Hubei Province New Coronavirus Infection Pneumonia Prevention and Control Headquarters, lockdown Wuhan city, first-level response to public health emergencies, the expansion of medical insurance coverage to suspected patients, mobile cabin hospitals, and the counterpart assistance in Hubei province
We used the multivariable linear regression by the SPSS 19.0 software: the cumulative number of confirmed cases and the cumulative number of cured cases were taken as dependent variables, and the six policies adopted by Hubei government were gradually entered into multiple linear regression models as independent variables
Summary
COVID-19 continues to spread around the world. According to WHO, as of 31 March 2021, there were 128,540,982 confirmed cases and 2,808,308 deaths worldwide [1]. 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 number of daily severe cases ranged from large to small: mobile cabin hospitals and the expansion of medical insurance coverage to suspected patients. 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
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