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SCI."],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, a preliminary data analytics study on the spread of COVID-19 in Italy and Lombardy Region is reported to understand how the COVID-19 spread from a geographical point-of-view. Understanding the rules followed by the virus in its spread in Italy and Lombardy Region is fundamental to act properly to reduce and isolate the contagious promptly. The paper investigates the possible correlation between the goods and transport routes and the citizen travels with the spread of the COVID-19 from a geographical perspective. Moreover, in the paper, an empirical discussion is reported on how the actions and decrees, which have been imposed by the Italian Government over time, impacted actually on the spread of COVID-19. This discussion can highlight important aspects that can be taken into account in future pandemic waves, to better balance the policies and actions imposed by the Government and by the Regions.<\/jats:p>","DOI":"10.1007\/s42979-021-00597-6","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T16:02:34Z","timestamp":1617984154000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Understanding the Geographical Spread of COVID-19 in Relation with Goods Regional Routes and Governmental Decrees: The Lombardy Region Case Study"],"prefix":"10.1007","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3815-2512","authenticated-orcid":false,"given":"Davide","family":"Tosi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Chiappa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,9]]},"reference":[{"key":"597_CR1","unstructured":"Coronavirus COVID-19 global cases by the center for systems science and engineering (CSSE). 2021;3. https:\/\/gisanddata.maps.arcgis.com\/apps\/opsdashboard\/index.html#\/bda7594740fd40299423467b48e9ecf6. Accessed Mar 2021."},{"key":"597_CR2","unstructured":"World Health Organization (2020). Novel coronavirus (2019-ncov) situation reports. Technical report. https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019\/situation-reports. Accessed Mar 2021."},{"key":"597_CR3","unstructured":"Department of the Italian Civil Protection. http:\/\/protezionecivile.gov.it. Accessed Mar 2021."},{"key":"597_CR4","unstructured":"Regione Lombardia COVID-19 Dataset. GitHub Dataset Civil Protection, Regional Data. https:\/\/github.com\/pcm-dpc\/COVID-19. Accessed Sept 2020."},{"issue":"4","key":"597_CR5","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s41060-017-0061-2","volume":"4","author":"D Tosi","year":"2018","unstructured":"Tosi D. Cell phone big data to compute mobility scenarios for future smart cities. Int J Data Sci Anal. 2018;4(4):265\u201384.","journal-title":"Int J Data Sci Anal"},{"key":"597_CR6","doi-asserted-by":"crossref","unstructured":"Tosi D, Marzorati S (2016) Big data from cellular networks: real mobility scenarios for future smart cities. In: Proceedings of the IEEE BigDataService conference, Oxford, UK.","DOI":"10.1109\/BigDataService.2016.20"},{"key":"597_CR7","doi-asserted-by":"crossref","unstructured":"Modoni G, Tosi D (2016) Correlation of weather and moods of the Italy residents through an analysis of their tweets. In: Proceedings of the third IEEE international symposium on social networks analysis, management and security (SNAMS\u20142016). Vienna\u2014Austria. 2016.","DOI":"10.1109\/W-FiCloud.2016.53"},{"key":"597_CR8","doi-asserted-by":"crossref","unstructured":"Tosi D, LaRosa M, Marzorati S, Dondossola G, Terruggia R (2015) Big data from cellular networks: how to estimate energy demand at real-time. In: Proceedings of the IEEE international conference on data science and advanced analytics (DSAA 2015). Special session on environmental and geo-spatial data analytics. Paris\u2014France.","DOI":"10.1109\/DSAA.2015.7344881"},{"issue":"1","key":"597_CR9","doi-asserted-by":"publisher","first-page":"e21081","DOI":"10.2196\/21081","volume":"22","author":"D Tosi","year":"2020","unstructured":"Tosi D, Campi A. How data analytics and big data can help scientists in managing COVID-19 diffusion: modeling study to predict the COVID-19 diffusion in Italy and the Lombardy region. J Med Internet Res 2020;22(10):e21081. https:\/\/doi.org\/10.2196\/21081.","journal-title":"J Med Internet Res"},{"key":"597_CR10","doi-asserted-by":"crossref","unstructured":"Tosi D, Verde A, Verde M (2020) Clarification of misleading perceptions of COVID-19 fatality and testing rates in Italy: data analysis. Int J Med Internet Res 22(6).","DOI":"10.2196\/19825"},{"key":"597_CR11","unstructured":"Regione Lombardia Open Data Portal. http:\/\/www.dati.lombardia.it."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00597-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-021-00597-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-021-00597-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T22:52:05Z","timestamp":1671835925000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-021-00597-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,9]]},"references-count":11,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["597"],"URL":"https:\/\/doi.org\/10.1007\/s42979-021-00597-6","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"value":"2662-995X","type":"print"},{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,9]]},"assertion":[{"value":"10 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"203"}}