Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level

Italy was one of the countries severely affected by the Covid-19 pandemic. An analysis of the factors that played a role in the spread of this epidemic is necessary. However, the assessment of which factors may be specific, and which may contribute the most is complex and involves a high degree of u...

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Egile Nagusiak: Truglia, Francesco Giovanni, Antolini, Fabrizio, Cesarini, Samuele
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Argitaratua: Firenze University Press, Genova University Press 2023
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author Truglia, Francesco Giovanni
Antolini, Fabrizio
Cesarini, Samuele
author_browse Antolini, Fabrizio
Cesarini, Samuele
Truglia, Francesco Giovanni
author_facet Truglia, Francesco Giovanni
Antolini, Fabrizio
Cesarini, Samuele
author_sort Truglia, Francesco Giovanni
collection Directory of Open Access Books
description Italy was one of the countries severely affected by the Covid-19 pandemic. An analysis of the factors that played a role in the spread of this epidemic is necessary. However, the assessment of which factors may be specific, and which may contribute the most is complex and involves a high degree of uncertainty. The main objective of this study is to evaluate and analyse the statistical associations of the spread of Covid-19 infection with identified spatial context variables (density, old-age index, average temperature, and pollution). For this purpose, the developments from the spatial convergence theory were considered, as well as data from the Italian provinces from March 2020 to February 2021, referring to the first, second and third wave. The hypothesis tested in this study is to investigate the contribution of environmental and demographic factors to the convergence of observed infection rates. Based on panel data of 107 Italian provinces from the first to the third wave, this article uses a spatial autoregressive model (SAR) to analyse the conditional β-convergence of Covid-19 infection rates. The empirical results of this paper show that there is spatial conditional β-convergence in the intensity of infection rates. This means that the contagion in neighbouring areas will affect the contagion in the local area. The age structure and population density of the provinces had a certain promoting effect on the transmission of the infection, depending on the wave analysed. Regarding the observed average temperature, the effects are not very significant and inconsistent. For the first and last wave, the level of pollution is significant in explaining the convergence processes of the infection. We demonstrate that accounting for spatial factors is essential to capture key features of the spread of Covid-19 infection.
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spelling doab-20.500.12854ir-1120432025-07-17T10:01:32Z Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level Truglia, Francesco Giovanni Antolini, Fabrizio Cesarini, Samuele Covid-19 Italian provinces Conditional β-convergence SAR model thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Italy was one of the countries severely affected by the Covid-19 pandemic. An analysis of the factors that played a role in the spread of this epidemic is necessary. However, the assessment of which factors may be specific, and which may contribute the most is complex and involves a high degree of uncertainty. The main objective of this study is to evaluate and analyse the statistical associations of the spread of Covid-19 infection with identified spatial context variables (density, old-age index, average temperature, and pollution). For this purpose, the developments from the spatial convergence theory were considered, as well as data from the Italian provinces from March 2020 to February 2021, referring to the first, second and third wave. The hypothesis tested in this study is to investigate the contribution of environmental and demographic factors to the convergence of observed infection rates. Based on panel data of 107 Italian provinces from the first to the third wave, this article uses a spatial autoregressive model (SAR) to analyse the conditional β-convergence of Covid-19 infection rates. The empirical results of this paper show that there is spatial conditional β-convergence in the intensity of infection rates. This means that the contagion in neighbouring areas will affect the contagion in the local area. The age structure and population density of the provinces had a certain promoting effect on the transmission of the infection, depending on the wave analysed. Regarding the observed average temperature, the effects are not very significant and inconsistent. For the first and last wave, the level of pollution is significant in explaining the convergence processes of the infection. We demonstrate that accounting for spatial factors is essential to capture key features of the spread of Covid-19 infection. 2023-08-08T04:47:28Z 2023-08-08T04:47:28Z 2023-08-03T15:05:49Z 2023 chapter ONIX_20230803_9791221501063_87 2704-5846 https://library.oapen.org/handle/20.500.12657/74891 9791221501063 https://directory.doabooks.org/handle/20.500.12854/112043 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74891/1/9791221501063-19.pdf https://library.oapen.org/bitstream/20.500.12657/74891/1/9791221501063-19.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.19 10.36253/979-12-215-0106-3.19 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access
spellingShingle Covid-19
Italian provinces
Conditional β-convergence
SAR model
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
Truglia, Francesco Giovanni
Antolini, Fabrizio
Cesarini, Samuele
Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title_full Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title_fullStr Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title_full_unstemmed Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title_short Chapter Spread of Covid-19 epidemic in Italy between March 2020 and February 2021: empirical evidence at provincial level
title_sort chapter spread of covid 19 epidemic in italy between march 2020 and february 2021 empirical evidence at provincial level
topic Covid-19
Italian provinces
Conditional β-convergence
SAR model
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
topic_facet Covid-19
Italian provinces
Conditional β-convergence
SAR model
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
url ONIX_20230803_9791221501063_87
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