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Traffic control and social distancing evidence from COVID-19 in China.
Lin, Shanlang; Lin, Ruofei; Yan, Na; Huang, Junpei.
  • Lin S; School of Economics and Management, Tongji University, Shanghai, China.
  • Lin R; School of Economics and Management, Tongji University, Shanghai, China.
  • Yan N; School of Economics and Management, Tongji University, Shanghai, China.
  • Huang J; School of Economics and Management, Tongji University, Shanghai, China.
PLoS One ; 16(6): e0252300, 2021.
Article in English | MEDLINE | ID: covidwho-1256038
ABSTRACT
We collected COVID-19 epidemiological and epidemic control measures-related data in mainland China during the period January 1 to February 19, 2020, and empirically tested the practical effects of the epidemic control measures implemented in China by applying the econometrics approach. The results show that nationally, both traffic control and social distancing have played an important role in controlling the outbreak of the epidemic, however, neither of the two measures have had a significant effect in low-risk areas. Moreover, the effect of traffic control is more successful than that of social distancing. Both measures complement each other, and their combined effect achieves even better results. These findings confirm the effectiveness of the measures currently in place in China, however, we would like to emphasize that control measures should be more tailored, which implemented according to each specific city's situation, in order to achieve a better epidemic prevention and control.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Motor Vehicles / Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0252300

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Motor Vehicles / Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0252300