Data analysis and mapping for monitoring health risk. What has the spread of the Covid-19 pandemic in northern Italy taught us?
The construction of the knowledge framework is a fundamental phase in the territorial governance process and data analyses, together with their mapping using GIS software, provide a fundamental basis for the structuring of a system for making decisions. With reference to the issue of risk management, monitoring of spatial and temporal evolution of the phenomena is equally fundamental. The aim of the paper is to address these issues in relation to health risk, starting from the pandemic situation that affected northern Italy in the early months of 2020. The paper presents an ex-post statistical analysis of the ISTAT data on mortality in the Italian provinces, comparing the currently available 2020 data to previous years. A territorial analysis is then presented, using a GIS, regarding the spread of the Covid-19 infection in the 205 municipalities of the province of Brescia. The paper also proposes a comparison with analysis conducted for other territories outside Italy. Finally, a reflection is offered on what we have learned from this pandemic regarding the need to have a monitoring system for phenomena related to health risk, in order to reduce the vulnerability of the health system.
Amato, F., Pontrandolfi, P., & Murgante, B. (2015). Supporting planning activities with the assessment and the prediction of urban sprawl using spatio-temporal analysis, Ecological Informatics, 30, 365–378. https://doi.org/10.1016/j.ecoinf.2015.07.004
Arcidiacono, A., & Ronchi, S. (2019). Adopting an Ecosystem Services-Based Approach for Flood Resilient. The case of Rocinha Favela (Brazil), Sustainability, 11(1), 4. https://doi.org/10.3390/su11010004
Ascione, F., De Masi, R. F., de Rossi, F., Fistola, R., Sasso, M., & Vanoli, G. P. (2013). Analysis and diagnosis of the energy performance of buildings and districts: Methodology, validation and development of Urban Energy Maps, Cities, 35, 270–283. https://doi.org/10.1016/j.cities.2013.04.012
Campagna, M. (2016). Metaplanning: About designing the Geodesign process. Landscape and Urban Planning, 156, 118–128. https://doi.org/10.1016/j.landurbplan.2015.08.019
Campagna, M., & Craglia, M. (2012). The socioeconomic impact of the spatial data infrastructure of Lombardy. Environment and Planning B: Planning and Design, 39(6), 1069–1083. https://doi.org/10.1068/b38006
Environmental Systems Resource Institute (ESRI). (2020a). Geographic Information Systems for Coronavirus Planning and Response [online].
Environmental Systems Resource Institute (ESRI). (2020b). Facility Mapping Solutions for COVID-19 Response cGIS Location Tracking Privacy Best Practices [online]. Retrieved from https://coronavirus-resources.esri.com/datasets/7ccaf0d0be7149629c305fbf9d369dad
Environmental Systems Resource Institute (ESRI). (2020c). ArcGIS Location Tracking Privacy Best Practices [online]. Retrivied from https://downloads.esri.com/resources/enterprisegis/Esri%20Whitepaper%20-%20ArcGIS%20Location%20Tracking%20Privacy%20Best%20Practices.pdf
Fistola, R. (2011). The unsustainable city. Urban entropy and social capital: The needing of a new urban planning. Procedia Engineering, 21, 976–984. https://doi.org/10.1016/j.proeng.2011.11.2102
Fistola, R., Gallo, M., Rocca, R. A. La, & Russo, F. (2020). The effectiveness of urban cycle lanes: From dyscrasias to potential solutions, Sustainability, 12(6), 1–22. https://doi.org/10.3390/su12062321
Foster, H. (1980). Disaster Planning: The Preservation of Life and Property. New York: Springer Verlag.
Gargiulo, C.; Sforza, A.; Sterle, C.; & Zucaro, F. (2018). An Optimization Model Fitting the Neighborhood Sustainability Assessment Tools, Sustainability,10, 3365. https://doi.org/10.3390/su10103365www.mdpi.com/journal/sustainability
Geraghty, E., & Lanclos, R. (2020). COVID-19: Dedicated Scientist in Florida Made Quick Moves to Map the Disease. Retrieved from https://www.esri.com/about/newsroom/blog/scientist-maps-florida-covid19-cases/
Giuliani, F., De Falco, A., & Cutini, V. (2020). The role of urban configuration during disasters. A scenario-based methodology for the post-earthquake emergency management of Italian historic centres, Safety Science, 127, 104700. https://doi.org/10.1016/j.ssci.2020.104700
Greco A, Pluchino A, Barbarossa L, Barreca G, Caliò I, Martinico F, Rapisarda A. (2019) A New Agent-Based Methodology for the Seismic Vulnerability Assessment of Urban Areas. ISPRS International Journal of Geo-Information, 8(6) 274. https://doi.org/10.3390/ijgi8060274
La Rosa, D., Privitera, R., Martinico, F., & La Greca, P. (2013). Measures of Safeguard and Rehabilitation for landscape protection planning: A qualitative approach based on diversity indicators, Journal of Environmental Management, 127, S73-S83. https://doi.org/10.1016/j.jenvman.2012.12.033
Manganelli, B., Di Palma, F., Amato, F., Nolè, G., & Murgante, B. (2016). The Effects of Socio-Economic Variables in Urban Growth Simulations, Procedia - Social and Behavioral Sciences, 223, 371–378. https://doi.org/10.1016/j.sbspro.2016.05.247
Martellozzo, F., Amato, F., Murgante, B., & Clarke, K. C. (2018). Modelling the impact of urban growth on agriculture and natural land in Italy to 2030, Applied Geography, 91, 156–167. https://doi.org/10.1016/j.apgeog.2017.12.004
Murgante, B., Borruso, G., Balletto, G., Castiglia, P., & Dettori, M. (2020). Why Italy First ? Health , Geographical and Planning aspects of the Covid-19 outbreak, Preprints, 2020050075. https://doi.org/10.20944/preprints202005.0075.v1
Scorza, F., Pilogallo, A., Saganeiti, L., Murgante, B., & Pontrandolfi, P. (2020). Comparing the territorial performances of renewable energy sources’ plants with an integrated ecosystem services loss assessment: A case study from the Basilicata region (Italy), Sustainable Cities and Society, 56, 102082. https://doi.org/10.1016/j.scs.2020.102082
Snowden, F. M. (2019). Epidemics and society: from the black death to the present. Yale University Press.
Tiboni, M. (2007). Natural Risk Assessment And Management. In N. Munier (editor), Handbook on Urban Sustainability, pp.567-605, Dordrecht: Springer. ISBN:978-1-4020-5350-4,
Tiboni, M., & Tira, M. (1997). Land-use dynamics and environmental hazards caused by ageing population in low density peripheral regions, Proceeding of the 37th Congress of European Regional Science Association, Roma
Tira, M., Tiboni, M., Badiani, B., Confortini, C. (2006). Urban infrastructures and physical hazards: a challenge for planning, In: V. Popov & C.A. Brebbia (Eds.). Risk Analysis. Simulation and hazard mitigation, pp. 153-161, Southampton:WIT Press. ISBN: 9781845641726
Tira, M. (1997). Pianificare la città sicura. Bari: Edizioni Librerie Dedalo.
Tira, M., & Zazzi, M. (2012). Pianificazione territoriale e difesa del suolo: quarant’anni dopo la relazione De Marchi . Atti del Convegno nazionale, Roma, 2-3 dicembre 2010. Gangemi.
Torrisi, V., Ignaccolo, M., & Inturri, G. (2017). Estimating travel time reliability in urban areas through a dynamic simulation model. Transportation Research Procedia, 27, 857-864.
Varnes, D.J. & IAEG Commission on Landslides (1984). Landslides Hazard Zonation – a review of principles and practice. Paris: UNESCO.
Zoppi, C., & Lai, S. (2011). Urban development and expenditure efficiency in the 2000-2006 regional operational program of Sardinia, Land Use Policy, 28(3), 472–485. https://doi.org/10.1016/j.landusepol.2010.10.001
Zoppi, C., & Lai, S. (2014). Land-taking processes: An interpretive study concerning an Italian region, Land Use Policy, 36, 369–380. https://doi.org/10.1016/j.landusepol.2013.09.011
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