| Literature DB >> 32088333 |
Xingchen Pan1, David M Ojcius2, Tianyue Gao3, Zhongsheng Li4, Chunhua Pan5, Chungen Pan6.
Abstract
Only a month after the outbreak of pneumonia caused by 2019-nCoV, more than forty-thousand people were infected. This put enormous pressure on the Chinese government, medical healthcare provider, and the general public, but also made the international community deeply nervous. On the 25th day after the outbreak, the Chinese government implemented strict traffic restrictions on the area where the 2019-nCoV had originated-Hubei province, whose capital city is Wuhan. Ten days later, the rate of increase of cases in Hubei showed a significant difference (p = 0.0001) compared with the total rate of increase in other provinces of China. These preliminary data suggest the effectiveness of a traffic restriction policy for this pandemic thus far. At the same time, solid financial support and improved research ability, along with network communication technology, also greatly facilitated the application of epidemic prevention measures. These measures were motivated by the need to provide effective treatment of patients, and involved consultation with three major groups in policy formulation-public health experts, the government, and the general public. It was also aided by media and information technology, as well as international cooperation. This experience will provide China and other countries with valuable lessons for quickly coordinating and coping with future public health emergencies.Entities:
Keywords: 2019-nCoV; Government; Public health emergency; Traffic restriction
Mesh:
Year: 2020 PMID: 32088333 PMCID: PMC7102576 DOI: 10.1016/j.micinf.2020.02.004
Source DB: PubMed Journal: Microbes Infect ISSN: 1286-4579 Impact factor: 2.700
Fig. 1The major progress of research and government measures during the SARS-CoV and 2019-nCoV epidemics. A. The rate of increase in cases during the SARS-CoV and 2019-nCoV outbreaks; B. The increase in number of countries that had cases of infection during the outbreak; C. Government measures; D. Major progress of research. The dotted line in A means that the data are unavailable, the numbers in the brackets in C and D represent the number of days after the first reported case.
Fig. 2The effect on the increasing rate of cases with strict travel restrictions. Red arrow indicates the date after which Wuhan was under strict travel restriction. It was the first time in human history that the gates of a city with a population of about 9 million were almost totally closed by a virus. The data on day 19 were unavailable. The number of cases in Hubei increased much faster than in other provinces after the travel restrictions were imposed.
Fig. 3Interactions in society during the 2019-nCoV pandemic. The arrows represent the interactions between the subjects; the broader arrows indicate the more prominent interactions. Information technology (labelled as green) influences all of the subjects, dramatically improving the process of virus identification, new drug screening, and daily care of the public.