A Survey of the Use of Modeling, Simulation, Visualization, and Mapping in Public Health Emergency Operations Centers during the Covid-19 Pandemic
Bibliographic Data
| ID | 15499233 |
|---|---|
| Authors | Ali Asgary (0000-0002-6253-1021, York University, corresponding author), 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) |
| Year | 2024 |
| Volume | 21 |
| Issue | 3 |
| Pages | 295-295 |
| Publication date | 2024-03-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph21030295 |
| PMID | 38541295 |
| OpenAlex | W4392375686 |
| Language | EN |
| References cited | 19 |
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
| Citation velocity | historical |
|---|---|
| Highly cited | No |