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A Survey of the Use of Modeling, Simulation, Visualization, and Mapping in Public Health Emergency Operations Centers during the Covid-19 Pandemic

Dados Bibliográficos

ID15499233
AutoresAli Asgary (0000-0002-6253-1021, York University, autor correspondente), Mahbod Aarabi (York University), Shelly Dixit (York University), He Wen (0009-0005-4612-2518, University of Alberta), Mariah Ahmed (York University), Jian Wu (0000-0002-2297-3335), Jianhong Wu (0000-0002-3037-7154, York Emergency Mitigation, Engagement, Response, and Governance Institute & Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON M3J 1P3, Canada), Jiayue Wu (0000-0002-3394-1507, York University)
Ano2024
Volume21
Fascículo3
Páginas295-295
Data de publicação2024-03-02
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph21030295
PMID38541295
OpenAlexW4392375686
IdiomaEN
Referências citadas19

The COVID-19 pandemic has significantly changed life and work patterns and reshaped the healthcare industry and public health strategies. It posed considerable challenges to public health emergency operations centers (PHEOCs). In this period, digital technologies such as modeling, simulation, visualization, and mapping (MSVM) emerged as vital tools in these centers. Despite their perceived importance, the potential and adaptation of digital tools in PHEOCs remain underexplored. This study investigated the application of MSVM in the PHEOCs during the pandemic in Canada using a questionnaire survey. The results show that digital tools, particularly visualization and mapping, are frequently used in PHEOCs. However, critical gaps, including data management issues, technical and capacity issues, and limitations in the policy-making sphere, still hinder the effective use of these tools. Key areas identified in this study for future investigation include collaboration, interoperability, and various supports for information sharing and capacity building

Adaptation (eye · Coronavirus disease 2019 (COVID-19 · Data mining · Data science · Data visualization · Health care · Interoperability · Pandemic · Political science · Public health · Visualization · Work (physics · World Wide Web · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Engineering · Medicine · Nursing · Psychology · Trauma and Emergency Care Studies

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  • The need for GIScience in mapping Covid-19

    Open Access•Leah Rosenkrantz, Nadine Schuurman et al.•Health & Place•2020

  • Incorporating Social Determinants of Health into Modelling of Covid-19 and other Infectious Diseases

    Open Access•Giorgos Galanis, Adam Hanieh•Social Science & Medicine•2021

Velocidade de citaçãohistorical
Altamente citadoNão
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