Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Scenario-based assessment of emergency management of urban infectious disease outbreaks

Datos Bibliográficos

ID22066596
AutoresPengwei Yuan (0000-0003-3172-5752, University of Jinan, autor de correspondencia), Huifang Liu (0000-0001-5357-4938, Tianjin University), Xiaoqing Dong (0000-0002-3965-0655, University of Jinan)
Año2024
Volumen12
Páginas1368154-1368154
Fecha de publicación2024-04-24
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1368154
PMID38721540
OpenAlexW4395079436
IdiomaEN
Citas recibidas1
Referencias citadas62

Infectious diseases pose a severe threat to human health and are accompanied by significant economic losses. Studies of urban outbreaks of infectious diseases are diverse. However, previous studies have neglected the identification of critical events and the evaluation of scenario-based modeling of urban infectious disease outbreak emergency management mechanisms. In this paper, we aim to conduct an empirical analysis and scenario extrapolation using a questionnaire survey of 18 experts, based on the CIA-ISM method and scenario theory, to identify the key factors influencing urban infectious disease outbreaks. Subsequently, we evaluate the effectiveness of urban infectious disease outbreak emergency management mechanisms. Finally, we compare and verify the actual situation of COVID-19 in China, drawing the following conclusions and recommendations. (1) The scenario-based urban infectious disease emergency management model can effectively replicate the development of urban infectious diseases. (2) The establishment of an emergency command center and the isolation and observation of individuals exposed to infectious diseases are crucial factors in the emergency management of urban outbreaks of infectious disease

Bioinformatics · Biology · Disease · Economic growth · Emergency management · Environmental health · Medical emergency · Outbreak · COVID-19 epidemiological studies · Disaster Management and Resilience · Medicine · Viral Infections and Outbreaks Research · Virology

  • Research on Scenario Evolution and Emergency Decision-Making Analysis for Earthquake Disaster Chain

    L Zhang, Wei Wang et al.•Natural Hazards Review•2026

  • The epidemiology and pathogenesis of coronavirus disease (Covid-19) outbreak

    Open Access•Hussin A Rothan, Siddappa N Byrareddy•Journal of Autoimmunity•2020

  • Targeted Social Distancing Designs for Pandemic Influenza

    Open Access•Robert J Glass, Laura M Glass et al.•Emerging infectious diseases•2006

  • A longitudinal study on the mental health of general population during the Covid-19 epidemic in China

    Open Access•Cuiyan Wang, Riyu Pan et al.•Brain, Behavior, and Immunity•2020

  • Mobility network models of Covid-19 explain inequities and inform reopening

    Open Access•Serina Chang, Kelly Nutter et al.•Nature•2021

  • Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China

    Open Access•Joseph T Wu, Kathy Leung et al.•The Lancet•2020

  • Economic uncertainty before and during the Covid-19 pandemic

    Open Access•Dave Altig, Scott Baker et al.•Journal of Public Economics•2020

  • Early dynamics of transmission and control of Covid-19

    Open Access•Adam J Kucharski, Timothy Russell et al.•The Lancet Infectious Diseases•2020

  • The effect of travel restrictions on the spread of the 2019 novel coronavirus (Covid-19) outbreak

    Open Access•Matteo Chinazzi, Jessica T Davis et al.•Science•2020

  • The socio-economic implications of the coronavirus pandemic (Covid-19)

    Open Access•Maria Nicola, Zaid Alsafi et al.•International Journal of Surgery•2020

  • Knowledge, Attitude and Practices Toward Coronavirus Disease (Covid- 19) in Southeast and South Asia

    Open Access•Mohammad Meshbahur Rahman, Roy Rillera Marzo et al.•Frontiers in Public Health•2022

  • What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework

    Open Access•Xue Li, Yusheng Zhou et al.•International Journal of Disaster…•2021

  • Corona Virus (Covid-19) “Infodemic” and Emerging Issues through a Data Lens

    Open Access•Jinling Hua, Rajib Shaw•International Journal of…•2020

  • What Caused the Outbreak of Covid-19 in China

    Open Access•Ziheng Shangguan, Mark Wang et al.•International Journal of…•2020

  • Impact of Hospital Bed Shortages on the Containment of Covid-19 in Wuhan

    Open Access•Weike Zhou, Aili Wang et al.•International Journal of…•2020

  • Using social and behavioural science to support Covid-19 pandemic response

    Open Access•Jay Joseph Van Bavel, Katherine Baicker et al.•Nature Human Behaviour•2020

  • Re-Thinking the Role of Government Information Intervention in the Covid-19 Pandemic

    Open Access•Lu Yao, Zheng Ji et al.•International Journal of…•2020

Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae