<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rodiah I</submitter><funding>Bundesministerium für Bildung und Forschung</funding><funding>European Research Council</funding><funding>Initiative and Networking Fund of the Helmholtz Association</funding><funding>Helmholtz-Zentrum für Infektionsforschung GmbH (HZI)</funding><funding>Standing Conference of the Ministers of Education and Cultural Affairs</funding><funding>Standing Conference of the Ministers of Education and Cultural Affairs (KMK)</funding><pagination>39-58</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9807433</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>38(1)</volume><pubmed_abstract>Current estimates of pandemic SARS-CoV-2 spread in Germany using infectious disease models often do not use age-specific infection parameters and are not always based on age-specific contact matrices of the population. They also do usually not include setting- or pandemic phase-based information from epidemiological studies of reported cases and do not account for age-specific underdetection of reported cases. Here, we report likely pandemic spread using an age-structured model to understand the age- and setting-specific contribution of contacts to transmission during different phases of the COVID-19 pandemic in Germany. We developed a deterministic SEIRS model using a pre-pandemic contact matrix. The model was optimized to fit age-specific SARS-CoV-2 incidences reported by the German Nati</pubmed_abstract><journal>European journal of epidemiology</journal><pubmed_title>Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany.</pubmed_title><pmcid>PMC9807433</pmcid><funding_grant_id>101003480 (Project CORESMA)</funding_grant_id><funding_grant_id>FKZ: 01KX2021 (Project COVIM: "NaFOUniMedCovid19")</funding_grant_id><funding_grant_id>FKZ: 01KX2021 (Project COVIM: “NaFOUniMedCovid19”)</funding_grant_id><funding_grant_id>Project COVID-SCHULEN</funding_grant_id><pubmed_authors>Kuhlmann A</pubmed_authors><pubmed_authors>Vanella P</pubmed_authors><pubmed_authors>Bock W</pubmed_authors><pubmed_authors>Lange B</pubmed_authors><pubmed_authors>Jaeger VK</pubmed_authors><pubmed_authors>Harries M</pubmed_authors><pubmed_authors>Karch A</pubmed_authors><pubmed_authors>Rodiah I</pubmed_authors><pubmed_authors>Krause G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany.</name><description>Current estimates of pandemic SARS-CoV-2 spread in Germany using infectious disease models often do not use age-specific infection parameters and are not always based on age-specific contact matrices of the population. They also do usually not include setting- or pandemic phase-based information from epidemiological studies of reported cases and do not account for age-specific underdetection of reported cases. Here, we report likely pandemic spread using an age-structured model to understand the age- and setting-specific contribution of contacts to transmission during different phases of the COVID-19 pandemic in Germany. We developed a deterministic SEIRS model using a pre-pandemic contact matrix. The model was optimized to fit age-specific SARS-CoV-2 incidences reported by the German Nati</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-03-18T13:49:58.149Z</modification><creation>2024-11-21T07:53:34.844Z</creation></dates><accession>S-EPMC9807433</accession><cross_references><pubmed>36593336</pubmed><doi>10.1007/s10654-022-00938-6</doi></cross_references></HashMap>