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Dagegen ist die altersadjustierte \u00dcbersterblichkeit ein robuster Indikator f\u00fcr Auswirkungen der COVID-19-Pandemie auf die \u00f6ffentliche Gesundheit. Die \u00dcbersterblichkeit spiegelt neben COVID-19-Sterbef\u00e4llen aber potenziell auch negative Folgen der Ma\u00dfnahmen zur Pandemieeind\u00e4mmung wider.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Ziele<\/jats:title>\n                <jats:p>Diese Studie pr\u00fcft, ob es in Deutschland von 01\/2020 bis 07\/2021 eine \u00dcbersterblichkeit gab, die nicht durch COVID-19 erkl\u00e4rbar ist, sondern f\u00fcr indirekte Effekte gesundheitspolitischer Ma\u00dfnahmen auf die Mortalit\u00e4t spricht.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methoden<\/jats:title>\n                <jats:p>\u00dcbersterblichkeitstrends im Zeitraum von 01\/2020 bis 07\/2021, jeweils in den Bundesl\u00e4ndern sowie in den Kreisen von Rheinland-Pfalz, wurden auf Konsistenz mit COVID-19 zugeschriebenen Sterbef\u00e4llen gepr\u00fcft. Die erwarteten monatlichen Sterbef\u00e4lle wurden auf Basis der Daten von 2015 bis 2019 vorhergesagt. Dabei wurden die Bev\u00f6lkerungsstruktur, Lufttemperatur, saisonale Influenzaaktivit\u00e4t sowie zyklische und langfristige Zeittrends ber\u00fccksichtigt.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Ergebnisse<\/jats:title>\n                <jats:p>In 232\/304 (76,3\u202f%) Monat-Bundesland- bzw. in 607\/684 (88,7\u202f%) Monat-Kreis-Kombinationen lag die COVID-19 zugeschriebene Mortalit\u00e4t innerhalb der 95\u202f%-Vorhersageintervalle f\u00fcr die \u00dcbersterblichkeit. Die Rangkorrelation zwischen \u00dcbersterblichkeit und COVID-19-attribuierter Mortalit\u00e4t betrug f\u00fcr die Bundesl\u00e4nder 0,42 (95\u202f%-Konfidenzintervall [0,31; 0,53]) und f\u00fcr die Kreise 0,21 (95\u202f%-Konfidenzintervall [0,13; 0,29]).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Diskussion<\/jats:title>\n                <jats:p>Die gute \u00dcbereinstimmung der r\u00e4umlich-zeitlichen \u00dcbersterblichkeitsmuster mit den COVID-19 zugeschriebenen Sterbef\u00e4llen ist konsistent mit der Annahme, dass die Ma\u00dfnahmen zur Eind\u00e4mmung der COVID-19-Pandemie zwischen 01\/2020 und 07\/2021 nicht wesentlich zur \u00dcbersterblichkeit in Deutschland beigetragen haben.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00103-021-03465-z","type":"journal-article","created":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T12:02:57Z","timestamp":1638619377000},"page":"378-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Erkl\u00e4rbarkeit der altersadjustierten \u00dcbersterblichkeit mit den COVID-19-attribuierten Sterbef\u00e4llen von Januar 2020 bis Juli 2021","Explaining the age-adjusted excess mortality with COVID-19-attributed deaths from January 2020 to July 2021"],"prefix":"10.1007","volume":"65","author":[{"given":"Daniel","family":"Wollschl\u00e4ger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irene","family":"Schmidtmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"F\u00fcckel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Blettner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emilio","family":"Gianicolo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,4]]},"reference":[{"key":"3465_CR1","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1177\/0141076820956802","volume":"113","author":"T Beaney","year":"2020","unstructured":"Beaney\u00a0T, Clarke\u00a0JM, Jain\u00a0V et al (2020) Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide? 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