{"id":1931,"date":"2020-07-21T07:21:31","date_gmt":"2020-07-21T07:21:31","guid":{"rendered":"https:\/\/repo.epiprev.it\/?p=1931"},"modified":"2021-05-22T10:44:53","modified_gmt":"2021-05-22T10:44:53","slug":"classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy","status":"publish","type":"post","link":"https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/","title":{"rendered":"Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy"},"content":{"rendered":"\n<p class=\"has-small-font-size\"><strong>Publication date:<\/strong> 21\/07\/2020 &#8211;  <strong>E&amp;P Code:<\/strong>  <a aria-label=\" (opens in a new tab)\" rel=\"noreferrer noopener\" href=\"https:\/\/repo.epiprev.it\/1931\" target=\"_blank\">repo.epiprev.it\/1931<\/a>   <br><strong>Authors:<\/strong> Nata\u0161a Kej\u017ear<sup>1<\/sup>, Lara Lusa<sup>1,2<\/sup><img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/06\/sottomessione_ep.png\" alt=\"Sottomesso alla peer review sulla rivista Epidemiologia&amp;Prevenzione\"><\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Abstract<\/strong>: <strong>OBJECTIVES<\/strong>: to provide a time-varying classification of the Italian provinces based on the weekly age and sex-specific relative risks (RR) for overall mortality, obtained comparing the number of deaths from 13 weeks from the beginning of the CoVID epidemics, with the average number of deaths from the same period in 2015-19.<br><strong>DESIGN<\/strong>: population overall mortality data provided by the Italian National Statistical Office (ISTAT).<br><strong>SETTING AND PARTICIPANTS<\/strong>: Italian residents 60 years or older from 7357\/7904 Italian municipalities. For the included municipalities the number of deaths from any cause from January 1st till May 30th was available for each day of the 2015-2020 period. Data were stratified by sex, 4 age categories (60-69, 70-79, 80-89, 90+), week and province.<br><strong>MAIN OUTCOME MEASURES<\/strong>: province and sex-specific weekly RR curves (age category vs RR), obtained for 13 weeks between February 26th and May 30th; excess mortality; time-varying\/weekly classification of provinces.<br><strong>RESULTS<\/strong>: our results provide a weekly classification of the Italian provinces based on their RR curves in 5 groups, 2 of which had high and very high excess mortality during the epidemics. Most of the provinces that appeared at least once in the highest-risk group are neighboring provinces in the northern regions of Lombardia, Emilia Romagna, Piemonte, and Marche (in central Italy), where most of the CoVID cases and deaths were identified. A subanalysis of the provinces with high-incidence of the virus identified three groups, different in the magnitude of the overall RR, but also in the shape of their RR curves, which varied markedly also between men and women and most importantly in the highest-risk group.<br><strong>CONCLUSIONS<\/strong>: our study gives timely reanalysis of the Istat data at weekly level and provides a classification of the geographical and temporal characteristics of the excess mortality in the Italian provinces during the CoVID epidemics. Our results facilitate the presentation of the spatio-temporal mortality patterns of the epidemics and provide evidence of high heterogeneity in the group of provinces that were defined as high-risk groups by others, based on their geographical position or on the observed spread of the virus.<\/p>\n\n\n\n<!--more-->\n\n\n\n<p class=\"has-small-font-size\"><strong>Cite as<\/strong>: Nata\u0161a Kej\u017ear, Lara Lusa (2020). Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy. E&P Repository <a href='https:\/\/repo.epiprev.it\/1931'>https:\/\/repo.epiprev.it\/1931<\/a><button title=\"Copia citazione\" id=\"copyTextCite\"><span class=\"far fa-copy\"><\/span><\/button><\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Topic<\/strong>: <a href='\/index.php\/category\/COVID-19'>COVID-19<\/a><\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Key words<\/strong>: <a href=\"https:\/\/repo.epiprev.it\/index.php\/tag\/classificazione\/\" rel=\"tag\">classificazione<\/a>, <a href=\"https:\/\/repo.epiprev.it\/index.php\/tag\/clustering\/\" rel=\"tag\">clustering<\/a>, <a href=\"https:\/\/repo.epiprev.it\/index.php\/tag\/covid-19\/\" rel=\"tag\">COVID-19<\/a>, <a href=\"https:\/\/repo.epiprev.it\/index.php\/tag\/istat\/\" rel=\"tag\">ISTAT<\/a>, <a href=\"https:\/\/repo.epiprev.it\/index.php\/tag\/mortalita-complessiva\/\" rel=\"tag\">mortalit\u00e0 complessiva<\/a>, <\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>AVVERTENZA. GLI ARTICOLI PRESENTI NEL REPOSITORY NON SONO SOTTOPOSTI A PEER REVIEW.<\/strong><\/p>\n\n\n\n<div class='w3eden'><!-- WPDM Link Template: Default Template -->\n\n\n<div class=\"link-template-default card mb-2\">\n    <div class=\"card-body\">\n        <div class=\"media stack-xs\">\n            <div class=\"media-body\">\n                <div class=\"media\">\n                    <div class=\"mr-3 img-48\"><img decoding=\"async\" class=\"wpdm_icon\" alt=\"Icona\" src=\"https:\/\/repo.epiprev.it\/wp-content\/plugins\/download-manager\/assets\/file-type-icons\/pdf.svg\" onError='this.src=\"https:\/\/repo.epiprev.it\/wp-content\/plugins\/download-manager\/assets\/file-type-icons\/unknown.svg\";' \/><\/div>\n                    <div class=\"media-body\">\n                        <h3 class=\"package-title\"><a href='https:\/\/repo.epiprev.it\/index.php\/download\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/'>Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy<\/a><\/h3>\n                        <div class=\"text-muted text-small\"><i class=\"fas fa-file-download\"><\/i> 61 Download <i class=\"fas fa-hdd ml-3\"><\/i> 4.68 MB<\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n            <div class=\"ml-3 wpdmdl-btn\">\n                <a class='wpdm-download-link btn btn-primary ' rel='nofollow' href='#' onclick=\"location.href='https:\/\/repo.epiprev.it\/index.php\/download\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/?wpdmdl=1929&refresh=69d2de1b6133b1775427099';return false;\">Download<\/a>\n            <\/div>\n        <\/div>\n\t\t\n    <\/div>\n<\/div>\n\n\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Info<\/h4>\n\n\n\n<p class=\"has-small-font-size\"><strong>Affiliations<\/strong>: <br><sup>1 <\/sup>University of Ljubljana, Institute for Biostatistics and Medical Informatics, Slovenia<br><sup>2<\/sup> University of Primorska, Faculty of Natural Sciences, Mathematics and Information Technologies, Koper\/Capodistria, Slovenia<\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Authors&#8217; contributions: <\/strong>NK and LL contributed equally to statistical analysis, data interpretation and writing of the report. LL concieved the study design.<\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Competing interests: <\/strong>None<\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Funding disclosure:<\/strong> Slovenian Research Agency, research core funding No. P3\u20100154.<\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Ethics committee approval: <\/strong>The study was based on publicly available aggregate data. No Ethics committee approval was necessary. <\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Copyright<\/strong>:  Il detentore del copyright \u00e8 l\u2019autore\/finanziatore, che ha concesso a \u201cE&amp;P Repository\u201d una licenza per rendere pubblico questo preprint. The copyright holder for this preprint is the author\/funder, who has granted E&amp;P Repository a license to display the preprint in perpetuity.<\/p>\n\n\n\n<p class=\"has-small-font-size\"><strong>Terms of distribution<\/strong>: <a rel=\"noreferrer noopener\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/deed.it\" target=\"_blank\">CC BY<\/a><\/p>\n\n\n\n<hr \/><img src='https:\/\/repo.epiprev.it\/wp-content\/uploads\/2020\/07\/Fig7_MapsIstatHR-1.jpg' alt=\"Fig7_MapsIstatHR\" class='attachment-post-thumbnail size-post-thumbnail wp-post-image' \/><p class='has-small-font-size'>Figure 7: Classification of the high-incidence provinces (as defined by Istat). Classificazione\ndelle province ad alta incidenza (come definite dall\u2019Istat).<\/p><hr \/>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-background has-small-font-size has-light-gray-background-color\"><strong>References &amp; Citations<\/strong><br><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/scholar.google.com\/scholar?q=Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy\" target=\"_blank\">Google Scholar<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/www.facebook.com\/sharer.php?u=https:\/\/www.repo.epiprev.it\/1931\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Condividi su Facebook\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/04\/icon_facebook.png\"><\/a><a href=\"https:\/\/twitter.com\/intent\/tweet?url=https:\/\/www.repo.epiprev.it\/1931\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Condividi su Twitter\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/04\/icon_twitter.png\"><\/a><a class=\"icon_whatsapp\" href=\"https:\/\/api.whatsapp.com\/send?text=https%3A%2F%2Frepo.epiprev.it\/1931&amp;attribution=AMPhtml&amp;url=https%3A%2F%2Frepo.epiprev.it\/1931\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Invia con WhatsApp\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/04\/icon_whatsapp.png\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our study gives timely reanalysis of the Istat data at weekly level and provides a classification of the geographical and temporal characteristics of the excess mortality in the Italian provinces during the CoVID epidemics. Our results facilitate the presentation of the spatio-temporal mortality patterns of the epidemics and provide evidence of high heterogeneity in the group of provinces that were defined as high-risk groups by others, based on their geographical position or on the observed spread of the virus.<\/p>\n","protected":false},"author":1,"featured_media":1933,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[141,142,16,49,140],"class_list":["post-1931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-covid-19","tag-classificazione","tag-clustering","tag-covid-19","tag-istat","tag-mortalita-complessiva"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy - E&amp;P Repository<\/title>\n<meta name=\"description\" content=\"La figura presenta la classificazione delle province ad alta diffusione CoVID (come definite dall&#039;Istat) in tre gruppi che differiscono sostanzialmente per rischio relativo di morte per tutte le cause rispetto allo stesso periodo del quinquennio precedente. I gruppi differiscono sostanzialmente anchenella relazione tra classe di et\u00e0 e rischio relativo, che varia sostanzialmente tra uomini e donne e, ancor pi\u00f9, nel gruppo ad altissimo rischio. I risultati indicano una forte eteregeneit\u00e0 spaziale e temporale negli effetti sulla mortalit\u00e0 complessiva anche nel gruppo delle province che sono state definite ad alto rischio.(La prima settimana iniza il 26 febbraio, la tredicesima settimana termina il 26 maggio. Le unit\u00e0 di analisi sono le curve di rischio relativo settimanali delle province, specifiche per sesso e i loro intervalli di confidenza, la tecnica utilizzata \u00e8 un metodo di clustering per oggetti simbolici. I dati sono forniti dall&#039;Istat, l&#039;analisi \u00e8 limitata ai residenti con 60 anni o pi\u00f9.)\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy - E&amp;P Repository\" \/>\n<meta property=\"og:description\" content=\"La figura presenta la classificazione delle province ad alta diffusione CoVID (come definite dall&#039;Istat) in tre gruppi che differiscono sostanzialmente per rischio relativo di morte per tutte le cause rispetto allo stesso periodo del quinquennio precedente. I gruppi differiscono sostanzialmente anchenella relazione tra classe di et\u00e0 e rischio relativo, che varia sostanzialmente tra uomini e donne e, ancor pi\u00f9, nel gruppo ad altissimo rischio. I risultati indicano una forte eteregeneit\u00e0 spaziale e temporale negli effetti sulla mortalit\u00e0 complessiva anche nel gruppo delle province che sono state definite ad alto rischio.(La prima settimana iniza il 26 febbraio, la tredicesima settimana termina il 26 maggio. Le unit\u00e0 di analisi sono le curve di rischio relativo settimanali delle province, specifiche per sesso e i loro intervalli di confidenza, la tecnica utilizzata \u00e8 un metodo di clustering per oggetti simbolici. 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Classificazione delle province ad alta incidenza (come definite dall\u2019Istat).\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/repo.epiprev.it\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/repo.epiprev.it\/#website\",\"url\":\"https:\/\/repo.epiprev.it\/\",\"name\":\"E&amp;P Repository\",\"description\":\"- RIVISTA DELL&#039;ASSOCIAZIONE ITALIANA DI EPIDEMIOLOGIA\",\"publisher\":{\"@id\":\"https:\/\/repo.epiprev.it\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/repo.epiprev.it\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/repo.epiprev.it\/#organization\",\"name\":\"Rivista Epiprev\",\"url\":\"https:\/\/repo.epiprev.it\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\/\/repo.epiprev.it\/#\/schema\/logo\/image\/\",\"url\":\"\",\"contentUrl\":\"\",\"caption\":\"Rivista Epiprev\"},\"image\":{\"@id\":\"https:\/\/repo.epiprev.it\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/epiprev\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/repo.epiprev.it\/#\/schema\/person\/2a184e8c4e97508ef5111e78c8d0a59c\",\"name\":\"administrator\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\/\/repo.epiprev.it\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/4ad25646debce6ba00e77ffa65a5e065aa33c5a21571725744bade4c95c9986a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/4ad25646debce6ba00e77ffa65a5e065aa33c5a21571725744bade4c95c9986a?s=96&d=mm&r=g\",\"caption\":\"administrator\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Classification of weekly provincial overall age and sex-specific mortality patterns during the CoVID epidemics in Italy - E&amp;P Repository","description":"La figura presenta la classificazione delle province ad alta diffusione CoVID (come definite dall'Istat) in tre gruppi che differiscono sostanzialmente per rischio relativo di morte per tutte le cause rispetto allo stesso periodo del quinquennio precedente. I gruppi differiscono sostanzialmente anchenella relazione tra classe di et\u00e0 e rischio relativo, che varia sostanzialmente tra uomini e donne e, ancor pi\u00f9, nel gruppo ad altissimo rischio. I risultati indicano una forte eteregeneit\u00e0 spaziale e temporale negli effetti sulla mortalit\u00e0 complessiva anche nel gruppo delle province che sono state definite ad alto rischio.(La prima settimana iniza il 26 febbraio, la tredicesima settimana termina il 26 maggio. Le unit\u00e0 di analisi sono le curve di rischio relativo settimanali delle province, specifiche per sesso e i loro intervalli di confidenza, la tecnica utilizzata \u00e8 un metodo di clustering per oggetti simbolici. 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I dati sono forniti dall'Istat, l'analisi \u00e8 limitata ai residenti con 60 anni o pi\u00f9.)","breadcrumb":{"@id":"https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/"]}]},{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/repo.epiprev.it\/index.php\/2020\/07\/21\/classification-of-weekly-provincial-overall-age-and-sex-specific-mortality-patterns-during-the-covid-epidemics-in-italy\/#primaryimage","url":"https:\/\/repo.epiprev.it\/wp-content\/uploads\/2020\/07\/Fig7_MapsIstatHR-1.jpg","contentUrl":"https:\/\/repo.epiprev.it\/wp-content\/uploads\/2020\/07\/Fig7_MapsIstatHR-1.jpg","width":1200,"height":680,"caption":"Figure 7: Classification of the high-incidence provinces (as defined by Istat). 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