The impact of traffic control measures on the spread of COVID-19 within urban agglomerations based on a modified epidemic model

Xiang, Wang; Chen, Li; Yan, Xuedong; Wang, Bin; Liu, Xiaobing

doi:10.1016/j.cities.2023.104238

Cited by 13 publications

(7 citation statements)

References 52 publications

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“…Some studies have statistically analyzed the tendencies of epidemic transmission before and after the implementation of three typical traffic control measures: road closure within the city, passenger transport outage, and community population mobility control [ 27 ]. With the improved model, one can simulate the epidemic development status of city agglomerations under traffic control measures such as first-level response to a significant public health emergency and traffic barring in epidemic-stricken areas [ 28 ]. The research on traffic control measures for epidemic prevention and control elucidates the regulatory efficacy of various traffic management interventions, thereby furnishing valuable insights to inform epidemic prevention and control efforts.…”

Section: Literature Reviewmentioning

confidence: 99%

The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China

Xiang,

Wang,

Pan

et al. 2024

PLoS ONE

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Selecting an appropriate intensity of epidemic prevention and control measures is of vital significance to promoting the two-way dynamic coordination of epidemic prevention and control and economic development. In order to balance epidemic control and economic development and suggest scientific and reasonable traffic control measures, this paper proposes a SEIQR model considering population migration and the propagation characteristics of the exposed and the asymptomatic, based on the data of COVID-19 cases, Baidu Migration, and the tourist economy. Further, the factor traffic control intensity is included in the model. After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. With Xi’an City as an example. The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. With the continuous rise of traffic control intensity in different simulation scenarios, the cumulative number of cases decreases by a significant amplitude. While balancing the requirements for epidemic prevention and control and for tourist economy development, the model works out the control intensity to be 0.68, under which some traffic control measures are suggested. The model presented in this paper can be used to analyze the impacts of different traffic control intensities on epidemic transmission. The research results in this paper reveal the traffic control measures balancing the requirements for epidemic prevention and control and for economic development.

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Section: Literature Reviewmentioning

confidence: 99%

The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China

Xiang,

Wang,

Pan

et al. 2024

PLoS ONE

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“…Brazilian Journal of Health Review, Curitiba, v. 7, n. 2, p. 01-23, mar./apr., 2024 A pandemia do COVID-19 teve um enorme impacto no desenvolvimento e funcionamento das cidades em todo o mundo e na vida das pessoas [Xiang et al 2023]. A última pandemia que a humanidade enfrentou antes da COVID-19 foi a pandemia de H1N1/gripe em 2009 [Kim and Bae 2023], e mesmo com todos os avanços tecnológicos da última década, não estávamos preparados para esta doença.…”

Section: Introductionunclassified

“…A prevenção e o controle de pandemias requerem novas tecnologias, e projetos para cidades inteligentes têm sido usados para isso. [Xiang et al 2023].…”

Section: Introductionunclassified

CityHealth: otimizando a gestão hospitalar em cidades inteligentes através da técnica de elasticidade e análise de sinais vitais

Fischer,

Costa,

Righi

2024

Braz. J. Hea. Rev.

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As cidades inteligentes podem melhorar a qualidade de vida dos cidadãos, otimizando a utilização dos recursos. Em um ambiente conectado, a saúde das pessoas pode ser monitorada em tempo real para detectar situações que exijam suporte médico. No entanto, hospitais superlotados podem levar a longos tempos de espera para os pacientes receberem tratamento. A pandemia de COVID-19 agravou o problema da superlotação hospitalar. Neste contexto, propomos o modelo CityHealth, baseado no conceito de elasticidade em Cloud Computing, onde é possível adicionar, migrar ou remover recursos humanos de acordo com a necessidade. Ele monitora o uso dos ambientes de saúde e adapta a capacidade de atendimento de acordo com a demanda. Através de uma abordagem preditiva, o CityHealth antecipa a sobrecarga de ambientes de saúde propõe ações para movimentção dos recursos humanos e otimizar o atendimento. Utilizando dados de uma policlínica como base para emulção de uma cidade inteligente com dois hospitais resultou em redução de até 95,6% no tempo de espera.

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“…The Coronavirus Disease (COVID-19) pandemic outbreak had a huge impact on the development and operation of cities around the world and the daily lives of people [21]. The last pandemic humanity faced before COVID-19 was the H1N1/influenza pandemic in 2009 [22], and even with all the technological advances of the last decade, we were not prepared for this disease.…”

Section: Introductionmentioning

confidence: 99%

“…Even with the end of COVID-19 as a global health emergency declared by the World Health Organization (WHO) [23], the impact we had with this last pandemic showed us the importance of preparing for the next pandemics, epidemics, and outbreaks that may arise in the future. The prevention and control of pandemics require the implementation and management of new technologies [21].…”

Section: Introductionmentioning

confidence: 99%

Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

Fischer,

Ramos,

Costa

et al. 2024

IoT

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Smart cities can improve the quality of life of citizens by optimizing the utilization of resources. In an IoT-connected environment, people’s health can be constantly monitored, which can help identify medical problems before they become serious. However, overcrowded hospitals can lead to long waiting times for patients to receive treatment. The literature presents alternatives to address this problem by adjusting care capacity to demand. However, there is still a need for a solution that can adjust human resources in multiple healthcare settings, which is the reality of cities. This work introduces HealCity, a smart-city-focused model that can monitor patients’ use of healthcare settings and adapt the allocation of health professionals to meet their needs. HealCity uses vital signs (IoT) data in prediction techniques to anticipate when the demand for a given environment will exceed its capacity and suggests actions to allocate health professionals accordingly. Additionally, we introduce the concept of multilevel proactive human resources elasticity in smart cities, thus managing human resources at different levels of a smart city. An algorithm is also devised to automatically manage and identify the appropriate hospital for a possible future patient. Furthermore, some IoT deployment considerations are presented based on a hardware implementation for the proposed model. HealCity was evaluated with four hospital settings and obtained promising results: Compared to hospitals with rigid professional allocations, it reduced waiting time for care by up to 87.62%.

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The impact of traffic control measures on the spread of COVID-19 within urban agglomerations based on a modified epidemic model

Cited by 13 publications

References 52 publications

The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China

The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China

CityHealth: otimizando a gestão hospitalar em cidades inteligentes através da técnica de elasticidade e análise de sinais vitais

Multi-Hospital Management: Combining Vital Signs IoT Data and the Elasticity Technique to Support Healthcare 4.0

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