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dc.contributor.author | Asgary, Ali | es_ES |
dc.contributor.author | Solis, Adriano | es_ES |
dc.contributor.author | Khan, Nawar | es_ES |
dc.contributor.author | Wimaladasa, Janithra | es_ES |
dc.contributor.author | Sabet, Maryam | es_ES |
dc.coverage.spatial | east=-79.5085383; north=43.8563158; name=City of Vaughan, Canadà | es_ES |
dc.date.accessioned | 2022-11-10T08:04:12Z | |
dc.date.available | 2022-11-10T08:04:12Z | |
dc.date.issued | 2022-09-20 | |
dc.identifier.isbn | 9788413960180 | |
dc.identifier.uri | http://hdl.handle.net/10251/189544 | |
dc.description.abstract | [EN] The COVID-19 pandemic has required governments to introduce various public health measures in order to contain and manage the pandemic’s unprecedented impacts in terms of illnesses and deaths. This study analyzes the spatiotemporal distribution of emergency incidents in Vaughan, a medium-sized city in the Canadian province of Ontario, comparing occurrences prior to and during the pandemic. Emergency calls received and responded to by the Vaughan Fire and Rescue Service were examined using spatial density and emerging hotspot analysis based on 11 periods of various public health measures and restrictions set in place from 17 March 2020 to 15 July 2021, as compared with corresponding pre-pandemic periods in the preceding three years (2017-2019). The resulting analyses show significant spatiotemporal changes in emergency incident patterns, particularly during periods of more stringent public health measures such as ‘stay at home’ orders or lockdowns of nonessential business establishments. Results of the study could provide useful insights for managing emergency service resources and operations during public health emergencies. | es_ES |
dc.description.sponsorship | This research has been conducted with financial support from the Social Sciences and Humanities Research Council of Canada (SSHRC) as part of its Partnership Engage Grants (PEG) COVID-19 Special Initiative. The Vaughan Fire and Rescue Service is the partner organization of the York University research team in this effort. The research work has been also supported by ADERSIM, funded by Ontario Research Fund (ORF). | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022) | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Spatiotemporal analysis | es_ES |
dc.subject | COVID-19 pandemic | es_ES |
dc.subject | Emergency calls | es_ES |
dc.subject | Kernel density | es_ES |
dc.subject | Emerging hot spot analysis | es_ES |
dc.subject | City of Vaughan | es_ES |
dc.title | Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2022.2022.15087 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Asgary, A.; Solis, A.; Khan, N.; Wimaladasa, J.; Sabet, M. (2022). Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 197-204. https://doi.org/10.4995/CARMA2022.2022.15087 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 29-Julio 01, 2022 | es_ES |
dc.relation.conferenceplace | Valencia, España | |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15087 | es_ES |
dc.description.upvformatpinicio | 197 | es_ES |
dc.description.upvformatpfin | 204 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\15087 | es_ES |
dc.contributor.funder | Social Sciences and Humanities Research Council of Canada | es_ES |
dc.contributor.funder | Ontario Research Foundation | es_ES |