{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T06:42:44Z","timestamp":1777963364140,"version":"3.51.4"},"reference-count":36,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T00:00:00Z","timestamp":1609977600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>COVID-19 has had a significant impact on a global scale. Evident signs of spatial-explicit characteristics have been noted. Nevertheless, publicly available data are scarce, impeding a complete picture of the locational impacts of COVID-19. This paper aimed to assess, confirm, and validate several geographical attributes of the geography of the pandemic. A spatial modeling framework defined whether there was a clear spatial profile to COVID-19 and the key socio-economic characteristics of the distribution in Toronto. A stepwise backward regression model was generated within a geographical information systems framework to establish the key variables influencing the spread of COVID-19 in Toronto. Further to this analysis, spatial autocorrelation was performed at the global and local levels, followed by an error and lag spatial regression to understand which explanatory framework best explained disease spread. The findings support that COVID-19 is strongly spatially explicit and that geography matters in preventing spread. Social injustice, infrastructure, and neighborhood cohesion are evident characteristics of the increasing spread and incidence of COVID-19. Mitigation of incidents can be carried out by intertwining local policies with spatial monitoring strategies at the neighborhood level throughout large cities, ensuring open data and adequacy of information management within the knowledge chain.<\/jats:p>","DOI":"10.3390\/su13020498","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T01:06:50Z","timestamp":1609981610000},"page":"498","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["COVID-19 in Toronto: A Spatial Exploratory Analysis"],"prefix":"10.3390","volume":"13","author":[{"given":"Eric","family":"Vaz","sequence":"first","affiliation":[{"name":"Department of Geography and Environmental Studies, Ryerson University, Toronto, ON M5B 2K3, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1002\/bjs.11627","article-title":"COVID-19 pandemic: Perspectives on an unfolding crisis","volume":"107","author":"Spinelli","year":"2020","journal-title":"Br. J. Surg."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Atkeson, A. (2020). What Will Be the Economic Impact of Covid-19 in the Us? Rough Estimates of Disease Scenarios, National Bureau of Economic Research.","DOI":"10.3386\/w26867"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Fernandes, N. (2020, July 10). Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy. Available online: http:\/\/dx.doi.org\/10.2139\/ssrn.3557504.","DOI":"10.2139\/ssrn.3557504"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Park, M., Cook, A.R., Lim, J.T., Sun, Y., and Dickens, B.L. (2020). A systematic review of COVID-19 epidemiology based on current evidence. J. Clin. Med., 9.","DOI":"10.3390\/jcm9040967"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.molmed.2020.02.008","article-title":"COVID-19: Epidemiology, evolution, and cross-disciplinary perspectives","volume":"26","author":"Sun","year":"2020","journal-title":"Trends Mol. Med."},{"key":"ref_6","first-page":"483","article-title":"COVID-19 and Italy: What next?","volume":"26","author":"Remuzzi","year":"2020","journal-title":"Lancet"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/S1473-3099(20)30120-1","article-title":"An interactive web-based dashboard to track COVID-19 in real time","volume":"20","author":"Dong","year":"2020","journal-title":"Lancet Infect. Dis."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e261","DOI":"10.1016\/S2468-2667(20)30073-6","article-title":"The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: A modelling study","volume":"5","author":"Prem","year":"2020","journal-title":"Lancet Public Health"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s12942-020-00202-8","article-title":"Geographical tracking and mapping of coronavirus disease COVID-19\/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: How 21st century GIS technologies are supporting the global fight against outbr 2020","volume":"19","author":"Boulos","year":"2020","journal-title":"Int. J. Health Geogr."},{"key":"ref_10","unstructured":"World Health Organization (2020, July 10). Preparedness, Prevention and Control of Coronavirus Disease (COVID-19) for Refugees and Migrants in Non-Camp Settings: Interim Guidance, 17 April 2020. Available online: https:\/\/apps.who.int\/iris\/handle\/10665\/331777."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.ijsu.2020.04.018","article-title":"The socio-economic implications of the coronavirus and COVID-19 pandemic: A review","volume":"78","author":"Nicola","year":"2020","journal-title":"Int. J. Surg."},{"key":"ref_12","unstructured":"Walker, P., Whittaker, C., Watson, O., Baguelin, M., Ainslie, K., Bhatia, S., Bhatt, S., Boonyasiri, A., Boyd, O., and Cattarino, L. (2020). Report 12: The Global Impact of COVID-19 and Strategies for Mitigation and Suppression, Imperial College London."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1001\/jama.2020.3151","article-title":"Response to COVID-19 in Taiwan: Big data analytics, new technology, and proactive testing","volume":"323","author":"Wang","year":"2020","journal-title":"JAMA"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Graham, A.J., Atkinson, P.M., and Danson, F.M. (2004). Spatial Analysis for Epidemiology, Oxford University Press.","DOI":"10.1016\/j.actatropica.2004.05.001"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Ganem, F., Mendes, F.M., Oliveira, S.B., Porto, V.B.G., Araujo, W., Nakaya, H., Diaz-Quijano, F.A., and Croda, J. (2020). The impact of early social distancing at COVID-19 Outbreak in the largest Metropolitan Area of Brazil. medRxiv.","DOI":"10.1101\/2020.04.06.20055103"},{"key":"ref_16","first-page":"9","article-title":"Not all maps are equal: GIS and spatial analysis in epidemiology","volume":"63","year":"2004","journal-title":"Int. J. Circumpolar Health"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s10708-015-9688-5","article-title":"Towards a geocomputational landscape epidemiology: Surveillance, modelling, and interventions","volume":"82","author":"Robertson","year":"2017","journal-title":"GeoJournal"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"71","DOI":"10.3808\/jei.201500299","article-title":"Predicting Urban Growth of the Greater Toronto Area\u2014Coupling a Markov Cellular Automata with Document Meta-Analysis","volume":"25","author":"Vaz","year":"2015","journal-title":"J. Environ. Inform."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.habitatint.2016.12.001","article-title":"The geography of environmental injustice","volume":"59","author":"Vaz","year":"2017","journal-title":"Habitat Int."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/10630732.2018.1558573","article-title":"Examining Open Data at the Urban Level: An Exploration of \u201cWellbeing Toronto\u201d","volume":"26","author":"Barber","year":"2019","journal-title":"J. Urban Technol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"139984","DOI":"10.1016\/j.scitotenv.2020.139984","article-title":"Modifiable areal unit problem and environmental factors of COVID-19 outbreak","volume":"740","author":"Wang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.isprsjprs.2017.10.012","article-title":"Breaking new ground in mapping human settlements from space\u2014The Global Urban Footprint","volume":"134","author":"Esch","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Vaz, E., Taubenb\u00f6ck, H., Kotha, M., and Arsanjani, J.J. (2017). Urban change in Goa, India. Habitat Int.","DOI":"10.1016\/j.habitatint.2017.07.010"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"111353","DOI":"10.1016\/j.rse.2019.111353","article-title":"A new ranking of the world\u2019s largest cities\u2014Do administrative units obscure morphological realities?","volume":"232","author":"Weigand","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1109\/LGRS.2013.2272953","article-title":"Urban footprint processor\u2014Fully automated processing chain generating settlement masks from global data of the TanDEM-X mission","volume":"10","author":"Esch","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1186\/s13031-019-0234-9","article-title":"Beyond mapping: A case for geospatial analytics in humanitarian health","volume":"13","author":"Greenough","year":"2019","journal-title":"Confl. Health"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Vaz, E., Zhao, Y., and Cusimano, M. (2016). Urban habitats and the injury landscape. Habitat Int., 56.","DOI":"10.1016\/j.habitatint.2016.04.006"},{"key":"ref_28","first-page":"35","article-title":"Area-based socioeconomic disparities in mortality due to unintentional injury and youth suicide in British Columbia, 2009\u20132013","volume":"39","author":"Zandy","year":"2019","journal-title":"Health Promot. Chronic Dis. Prev. Canada Res. Policy Pract."},{"key":"ref_29","first-page":"241","article-title":"The Spatial Business Landscape of India","volume":"1","author":"Vaz","year":"2013","journal-title":"J. Spat. Organ. Dyn."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1016\/S0140-6736(99)03057-3","article-title":"The epidemiology of chronic pain in the community","volume":"354","author":"Elliott","year":"1999","journal-title":"Lancet"},{"key":"ref_31","first-page":"37","article-title":"Spatial Assessment of Road Traffic Injuries in the Greater Toronto Area (GTA): Spatial Analysis Framework","volume":"5","author":"Vaz","year":"2017","journal-title":"J. Spat. Organ. Dyn."},{"key":"ref_32","unstructured":"Gleditsch, K.S., and Ward, M.D. (2008). Spatial Regression Models. Quantitative Applications in the Social Sciences, Sage Publications."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1177\/2399808320926912","article-title":"The Coronavirus crisis: What will the post-pandemic city look like?","volume":"47","author":"Batty","year":"2020","journal-title":"Environ. Plan. B Urban Anal. City Sci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Fischer, M.M., and Getis, A. (2009). Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications, Springer Science & Business Media.","DOI":"10.1007\/978-3-642-03647-7"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Vaz, E. (2020). Regional Intelligence, Springer.","DOI":"10.1007\/978-3-030-36479-3"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.habitatint.2014.06.025","article-title":"Framing urban habitats: The small and medium towns in the peripheries","volume":"45","author":"Vaz","year":"2015","journal-title":"Habitat Int."}],"container-title":["Sustainability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2071-1050\/13\/2\/498\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:07:55Z","timestamp":1760159275000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2071-1050\/13\/2\/498"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,7]]},"references-count":36,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["su13020498"],"URL":"https:\/\/doi.org\/10.3390\/su13020498","relation":{"has-preprint":[{"id-type":"doi","id":"10.32920\/24171438.v1","asserted-by":"object"},{"id-type":"doi","id":"10.32920\/24171438","asserted-by":"object"}]},"ISSN":["2071-1050"],"issn-type":[{"value":"2071-1050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,7]]}}}