{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:18:07Z","timestamp":1772173087356,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1010146","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T00:00:00Z","timestamp":1654560000000}}],"reference-count":52,"publisher":"Public Library of Science (PLoS)","issue":"5","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["801604"],"award-info":[{"award-number":["801604"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["NIH-R56AI148284"],"award-info":[{"award-number":["NIH-R56AI148284"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["INV006010"],"award-info":[{"award-number":["INV006010"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","award":["Cloud Research Credits program"],"award-info":[{"award-number":["Cloud Research Credits program"]}],"id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    We analyze the effectiveness of the first six months of vaccination campaign against SARS-CoV-2 in Italy by using a computational epidemic model which takes into account demographic, mobility, vaccines data, as well as estimates of the introduction and spreading of the more transmissible Alpha variant. We consider six sub-national regions and study the effect of vaccines in terms of number of averted deaths, infections, and reduction in the Infection Fatality Rate (IFR) with respect to counterfactual scenarios with the actual non-pharmaceuticals interventions but no vaccine administration. Furthermore, we compare the effectiveness in counterfactual scenarios with different vaccines allocation strategies and vaccination rates. Our results show that, as of 2021\/07\/05, vaccines averted 29, 350 (\n                    <jats:italic>IQR<\/jats:italic>\n                    : [16, 454\u201342, 826]) deaths and 4, 256, 332 (\n                    <jats:italic>IQR<\/jats:italic>\n                    : [1, 675, 564\u20136, 980, 070]) infections and a new pandemic wave in the country. During the same period, they achieved a \u221222.2% (\n                    <jats:italic>IQR<\/jats:italic>\n                    : [\u221231.4%; \u221213.9%]) IFR reduction. We show that a campaign that would have strictly prioritized age groups at higher risk of dying from COVID-19, besides frontline workers and the fragile population, would have implied additional benefits both in terms of avoided fatalities and reduction in the IFR. Strategies targeting the most active age groups would have prevented a higher number of infections but would have been associated with more deaths. Finally, we study the effects of different vaccination intake scenarios by rescaling the number of available doses in the time period under study to those administered in other countries of reference. The modeling framework can be applied to other countries to provide a mechanistic characterization of vaccination campaigns worldwide.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1010146","type":"journal-article","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T13:43:46Z","timestamp":1653486226000},"page":"e1010146","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":16,"title":["Anatomy of the first six months of COVID-19 vaccination campaign in Italy"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9996-3194","authenticated-orcid":true,"given":"Nicol\u00f2","family":"Gozzi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5955-1929","authenticated-orcid":true,"given":"Matteo","family":"Chinazzi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0726-1855","authenticated-orcid":true,"given":"Jessica T.","family":"Davis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8150-5363","authenticated-orcid":true,"given":"Kunpeng","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Ana","family":"Pastore y Piontti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1753-4749","authenticated-orcid":true,"given":"Marco","family":"Ajelli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5559-3064","authenticated-orcid":true,"given":"Nicola","family":"Perra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3419-4205","authenticated-orcid":true,"given":"Alessandro","family":"Vespignani","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,5,25]]},"reference":[{"key":"pcbi.1010146.ref001","article-title":"Non-pharmaceutical interventions during the COVID-19 pandemic: A review","author":"N Perra","year":"2021","journal-title":"Physics Reports"},{"issue":"7820","key":"pcbi.1010146.ref002","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1038\/s41586-020-2405-7","article-title":"Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe","volume":"584","author":"S Flaxman","year":"2020","journal-title":"Nature"},{"issue":"1","key":"pcbi.1010146.ref003","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1038\/s41746-021-00451-2","article-title":"Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data","volume":"4","author":"BT Snoeijer","year":"2021","journal-title":"npj Digital Medicine"},{"key":"pcbi.1010146.ref004","article-title":"Ranking the effectiveness of worldwide COVID-19 government interventions","author":"N Haug","year":"2020","journal-title":"Nature Human Behavior"},{"key":"pcbi.1010146.ref005","article-title":"Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study","author":"BJ Cowling","year":"2020","journal-title":"The Lancet Public Health"},{"key":"pcbi.1010146.ref006","unstructured":"EU Vaccination Days; 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