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A Spatio‐temporal analysis of COVID‐19 outbreak in Italy

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  • Pritam Ghosh
  • Alfredo Cartone

Abstract

Within two weeks from the first detection of the SARS‐CoV‐2 positive patient on 21 February, from Lombardy the disease has spread over every region in Italy. The main objective of this study is to identify spatial effects and spatiotemporal patterns of the outbreak of COVID‐19 in different regions of Italy. Spatial indicators for different periods, as Moran's I, local Moran, LISA clusters, Getis and Ord G, and scatterplots are used for this purpose. Results confirm the great presence of spatial effects as well as changes in spatial regimes between the quarantine and the easing phase. The evidence could be of help for policy‐makers to a proper assessments of health strategies aware of local characteristics.

Suggested Citation

  • Pritam Ghosh & Alfredo Cartone, 2020. "A Spatio‐temporal analysis of COVID‐19 outbreak in Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1047-1062, December.
    • Handle: RePEc:bla:rgscpp:v:12:y:2020:i:6:p:1047-1062
    DOI: 10.1111/rsp3.12376
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    References listed on IDEAS

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    1. Laura De Dominicis & Giuseppe Arbia & Henri L.F. De Groot, 2013. "Concentration of Manufacturing and Service Sector Activities in Italy: Accounting for Spatial Dependence and Firm Size Distribution," Regional Studies, Taylor & Francis Journals, vol. 47(3), pages 405-418, March.
    2. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    3. Domenica Panzera & Paolo Postiglione, 2014. "Economic growth in Italian NUTS 3 provinces," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 273-293, August.
    4. Fanelli, Duccio & Piazza, Francesco, 2020. "Analysis and forecast of COVID-19 spreading in China, Italy and France," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    5. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    6. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    7. M. Simona Andreano & Roberto Benedetti & Paolo Postiglione, 2017. "Spatial regimes in regional European growth: an iterated spatially weighted regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2665-2684, November.
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    Cited by:

    1. Boris Nikitin & Maria Zakharova & Alexander Pilyasov & Nadezhda Zamyatina, 2023. "The burden of big spaces: Russian regions and cities in the COVID-19 pandemic," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-22, December.
    2. Kuebart, Andreas & Stabler, Martin, 2023. "Waves in time, but not in space – an analysis of pandemic severity of COVID-19 in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47.

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