How Effective Is a Traffic Control Policy in Blocking the Spread of Covid-19? A Case Study of Changsha, China

Datos Bibliográficos

ID15464653
AutoresWang Xiang (0000-0001-9815-1277, Changsha University of Science and Technology), Li Chen (0000-0002-8432-3338, Changsha University of Science and Technology), Qunjie Peng (Shenzhen Transportation Design & Research Institute Co., Ltd., Shenzhen 518003, China), Bing Wang (0000-0001-5106-6681, China Nonferrous Metals Changsha Investigation Design Institute), Xiaobing Liu (0000-0003-1142-5816, Beijing Jiaotong University, autor de correspondencia)
Año2022
Volumen19
Número13
Páginas7884-7884
Fecha de publicación2022-06-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19137884
PMID35805541
OpenAlexW4283643710
IdiomaEN
Citas recibidas3
Referencias citadas31

(1) Background: COVID-19 is still affecting people's daily lives. In the past two years of epidemic control, a traffic control policy has been an important way to block the spread of the epidemic. (2) Objectives: To delve into the blocking effects of different traffic control policies on COVID-19 transmission. (3) Methods: Based on the classical SIR model, this paper designs and improves the coefficient of the infectious rate, and it builds a quantitative SEIR model that considers the infectivity of the exposed for traffic control policies. Taking Changsha, a typical city of epidemic prevention and control, as a study case, this paper simulates the epidemic trends under three traffic control policies adopted in Changsha: home quarantine, road traffic control, and public transport suspension. Meanwhile, to explore the time sensitivity of all traffic control policies, this paper sets four distinct scenarios where the traffic control policies were implemented at the first medical case, delayed by 3, 5, and 7 days, respectively. (4) Results: The implementation of the traffic control policies has decreased the peak value of the population of the infective in Changsha by 66.03%, and it has delayed the peak period by 58 days; with the home-quarantine policy, the road traffic control policy, and the public transport suspension policy decreasing the peak value of the population of the infective by 56.81%, 39.72%, and 45.31% and delaying the peak period by 31, 18, and 21 days, respectively; in the four scenarios where the traffic control policies had been implemented at the first medical case, delayed by 3, 5, and 7 days, respectively, the variations of both the peak value and the peak period timespan of confirmed cases under the home-quarantine policy would have been greater than under the road traffic control and the public transport suspension policies. (5) Conclusions: The implementation of traffic control policies is significantly effective in blocking the epidemic across the city of Changsha. The home-quarantine policy has the highest time sensitivity: the earlier this policy is implemented, the more significant its blocking effect on the spread of the epidemic

2019-20 coronavirus outbreak · Blocking (statistics · China · Computer network · Coronavirus disease 2019 (COVID-19 · Geography · Outbreak · Pandemic · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Computer Science · COVID-19 and Mental Health · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Internal Medicine · Virology