The vulnerability of places in the Covid-19 pandemic. An analysis model based on spatial interaction

Journal title RIVISTA GEOGRAFICA ITALIANA
Author/s Monica Meini, Giuseppe Di Felice, Marco Petrella, Gianfranco Spinelli
Publishing Year 2023 Issue 2023/1 Language Italian
Pages 24 P. 5-28 File size 0 KB
DOI 10.3280/rgioa1-2023oa15435
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The article presents the results of an empirical research that addresses the issue of place vulnerability in the first three waves of the Covid-19 pandemic in Italy, discussing the spatial factors involved in the spread of the virus. Through a re-reading of the literatureon epidemic spatial diffusion, the usefulness of the principle of potential interaction for a strategic geography of public health is verified, assuming a public geography perspective. With reference to the different impact probabilities, the theoretically possibletypes of spatial interaction are discussed,  then the model elaborated is tested by means of experimentation in territories that differ in terms of interaction and spread modes. The results of the application to the territories of two Italian regions (Tuscany and Molise) characterised by a different socio-territorial organisation and differentiated diffusion dynamics, show how the variety of the territorial configurations present in Italy, characterised by the pervasiveness of interaction and by a multiple articulation of short and long networks, conditions epidemic diffusion. The analysis arrives at unexpected conclusions concerning the criticality of peripheral areas, often erroneously perceived as less vulnerable.

Keywords: ; mobility, spatial interaction models, socio-spatial dynamics, Covid-19, Italy

  1. Ali S.H. e Keil R. (2007). Contagious cities. Geography Compass, 1: 1207-1226. DOI: 10.1111/j.1749-8198.2007.00060.x
  2. Ascani A., Faggian A. e Montresor S. (2021). The geography of Covid-19 and the structure of local economies: The case of Italy. Journal of Regional Science, 61: 407-441. DOI: 10.1111/jors.12510
  3. Balducci A., Fedeli V. e Curci F., a cura di (2019). Post-Metropolitan Territories. Looking for a New Urbanity. London: Routledge.
  4. Beck U. (2000). La società del rischio. Roma: Carocci.
  5. Ben-Zion Y., Cohen Y. e Shnerb N.M. (2010). Modeling epidemics dynamics on heterogenous networks. Journal of Theoretical Biology, 264: 197-204. DOI: 10.1016/j.jtbi.2010.01.029
  6. Bidoli E., Toffolutti F., Del Zotto S. e Serraino D. (2022). Risk factors for territorial spreading of SARS-CoV-2 in North-eastern Italy. Nature Scientifc Reports, 12: 2214. DOI: 10.1038/s41598-022-05368-8
  7. Borruso G., Balletto G., Murgante B., Castiglia P. e Dettori M. (2020). Covid-19.
  8. Diffusione spaziale e aspetti ambientali del caso italiano. Semestrale di Studi e Ricerche di Geografia, 32: 39-56. DOI: 10.13133/1125-5218.17031
  9. Boterman W. (2022). Population density and SARS-CoV-2 pandemic: Comparing the geography of different waves in the Netherlands. Urban Studies. DOI: 10.1177/00420980221087165
  10. Bozzato S. (2020). Geografie del Covid-19. Documenti Geografici, 1: 5-18. DOI: 10.19246/DOCUGEO2281-7549/202001_01
  11. Brockmann D. e Helbing D. (2013). The hidden geometry of complex, network-driven contagion phenomena. Science, 342: 1337-1342. DOI: 10.1126/science.1245200
  12. Camagni R.P. e Salone C. (1993). Network urban structures in northern Italy: Elements for a theoretical framework. Urban Studies, 30: 1053-1064. DOI: 10.1080/00420989320080941
  13. Capineri C. (1996). Reti e studi geografici. In: Tinacci Mossello M. e Capineri C., a cura di, Geografia delle comunicazioni. Reti e strutture territoriali. Torino: Giappichelli.
  14. Carozzi F., Provenzano S. e Roth S. (2020). Urban Density and Covid-19. IZA DP Series, 1344.
  15. Castells M. (1996). The Information Age: Economy, Society and Culture. Vol. I: The Rise of the Network Society. Oxford: Blackwell.
  16. Casti E. (2020). Geografia a “vele spiegate”. Analisi territoriale e mapping riflessivo sul Covid-19 in Italia. Documenti Geografici, 1: 61-83. DOI: 10.19246/DOCUGEO2281-7549/202001_03
  17. Ead. e Riggio A., a cura di (2022). Atlante Covid-19. Geografie del contagio in Italia. Roma: AGeI.
  18. Celata F. (2020). Come siamo arrivati fin qui: la sanità pubblica in Italia alla prova del coronavirus. EyesReg, 10(2).
  19. Cheshmehzangi A., Sedrez M., Ren J., Kong D., Shen Y., Bao S., Xu J., Su Z. e Dawodu A. (2021). The Effect of Mobility on the Spread of Covid-19 in Light of Regional Differences in the European Union. Sustainability, 13: 5395. DOI: 10.3390/su13105395
  20. Christaller W. (1933). Die zentralen Orte in Süddeutschland. Jena: Gustav Fischer. Cliff A., Haggett P. (2004). Time, travel and infection. British Medical Bulletin, 69: 87-99. DOI: 10.1093/bmb/ldh011
  21. Cori B. (1994). Urban Networks. In: Dematteis G. e Guarrasi V., a cura di, Urban Networks. Bologna: Pàtron.
  22. Cortesi G. (2012). La Toscana delle città: analisi geografica delle recenti dinamiche urbane. In: Macchia P., a cura di, La Toscana in evoluzione. Scritti per Berardo Cori coordinati da Carlo Da Pozzo. Pisa: ETS.
  23. Cremaschi M., Salone C. e Besana A. (2021). Densità urbana e Covid-19: la diffusione territoriale del virus nell’area di Bergamo. Archivio di studi urbani e regionali, 131: 5-31. DOI: 10.3280/ASUR2021-131001
  24. Cummins S., Curtis S., Diez-Roux A.V. e Macintyre S. (2007). Understanding and representing ‘place’ in health research: A relational approach. Social Science & Medicine, 65: 1825-1838. DOI: 10.1016/j.socscimed.2007.05.036
  25. Dini F. e Zilli S. (2020). Riordino territoriale e autonomia differenziata. Una questione da ridiscutere alla luce dell’epidemia. Documenti Geografici, 1: 155-168. DOI: 10.19246/DOCUGEO2281-7549/202001_09
  26. Franch-Pardo I., Napoletano B.M., Rosete-Verges F. e Billa L. (2020). Spatial analysis and GIS in the study of Covid-19. A review. Science of the Total Environment, 739. DOI: 10.1016/j.scitotenv.2020.140033
  27. Gould P.R. (1969). Spatial Diffusion. Washington DC: Association of American Geographers.
  28. Gross B., Zheng Z., Liu S., Chen X., Sela A., Li J. e Havlin S. (2020). Spatio-temporal propagation of Covid-19 pandemics. Europhysics Letters, 131. DOI: 10.1209/0295-5075/131/58003
  29. Hägerstrand T. (1967). Innovation Diffusion as a Spatial Process. Chicago: The University of Chicago Press.
  30. Haggett P. (2000). The geographical structure of epidemics. Oxford: Oxford University Press.
  31. Hamidi S., Sabouri S. e Ewing R. (2020). Does density aggravate the Covid-19 pandemic?. Journal of the American Planning Association, 86(4): 495-509. DOI: 10.1080/01944363.2020.1777891
  32. Huff D.L. (1964). Defining and Estimating a Trade Area. Journal of Marketing, 28: 34-38. DOI: 10.1177/002224296402800307
  33. Id. (1964). A Probabilistic Analysis of Shopping Center Trade Areas. Land Economics, 39: 81-90. DOI: 10.2307/3144521
  34. Jessop B. (2018). The TPSN Schema: Moving beyond Territories and Regions. In: Paasi A., Harrison J. e Jones M., a cura di, Handbook on the Geographies of Regions and Territories. Cheltenham: Edward Elgar.
  35. Keil R. (2017). Extended urbanization, “disjunct fragments” and global suburbanisms. Environment and Planning D: Society and Space, 36: 494-511. DOI: 0263775817749594
  36. Khanna P. (2016). Connectography. Mapping the Future of Global Civilization. New York: Random House.
  37. Kübert A. e Stabler M. (2020). Infectious diseases as socio-spatial processes. The covid-19 outbreak in Germany. Tijdschrift voor Economische en Sociale Geografie, 111: 482-496. DOI: 10.1111/tesg.12429
  38. Lombardo C. e Mauceri S. (2020). La società catastrofica. Vita e relazioni sociali ai tempi dell’emergenza Covid-19. Milano: FrancoAngeli.
  39. Massey D. (2005). For Space. London: Sage.
  40. Mc Farlane C. (2016). The geographies of urban density: topology, politics and the city. Progress in human geography, 40: 629-648. DOI: 10.1177/0309132515608694
  41. Id. (2021). Repopulating density: COVID-19 and the politics of urban value. Urban Studies. DOI: 10.1177/00420980211014810
  42. Meini M., a cura di (2018). Terre invisibili. Esplorazioni sul potenziale turistico delle aree interne. Soveria Mannelli: Rubbettino.
  43. Morrill R., Gaile G. e Thrall G. (2020). Spatial Diffusion. In: Web Book of Regional Science; Morgantown WV, USA: West Virginia University.
  44. Murgante B., Borruso G., Balletto G., Castiglia P. e Dettori M. (2020). Why Italy First? Health, Geographical and Planning Aspects of the Covid-19 Outbreak. Sustainability, 12. DOI: 10.3390/su12125064
  45. O’Kelly M.E. (2009). Spatial Interaction Models. In: Kitchin R. e Thrift N., a cura di, International Encyclopedia of Human Geography. Amsterdam: Elsevier.
  46. Romano A. (2021). Pandemia e (im)mobilità: gli effetti spaziali del lockdown attraverso i Big Data delle piattaforme digitali. Rivista geografica italiana, 128(4): 5-22. DOI 10.3280/rgioa4-2021oa12956
  47. Savini L., Candeloro L., Calistri P. e Conte A. (2020). A municipality-based approach using commuting census data to characterize the vulnerability to influenza-like epidemic: The Covid-19 application in Italy. Microorganisms, 8(6): 911. DOI: 10.3390/microorganisms8060911
  48. Teller J. (2021). Urban density and Covid-19: towards an adaptive approach. Buildings and Cities, 2(1): 150-165. DOI: 10.5334/bc.89
  49. Trezza D., Punziano G. e De Falco C.C. (2021). Mappare il racconto, raccontare l’emergenza. Voci digitali dai territori. Cambio. Rivista sulle trasformazioni sociali, 11: 163-184. DOI: 10.36253/cambio-10255
  50. Turco A. (2020). Epistemologia della pandemia. Documenti geografici, 1: 19-60. DOI: 10.19246/DOCUGEO2281-7549/202001_02
  51. Wilson A.G. (2000). Complex Spatial Systems: The Modelling Foundations of Urban and Regional Analysis. London: Pearson Education.
  52. Zanetto G. (1979). Il potenziale: da modello a strumento. Rivista geografica italiana, 86(3): 298-320.

Monica Meini, Giuseppe Di Felice, Marco Petrella, Gianfranco Spinelli, La vulnerabilità dei luoghi nella pandemia da Covid-19. Un modello di analisi basato sull’interazione spaziale in "RIVISTA GEOGRAFICA ITALIANA" 1/2023, pp 5-28, DOI: 10.3280/rgioa1-2023oa15435