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The purpose of the present study was to collect data about the impact of the COVID-19 crisis on members of the University of Koblenz in order to understand the contextual aspects of a University environment related to COVID-19 infections and the behavior of university members in the pandemic period.<\/p>\n
To ensure privacy, the data was examined for identifiability of individual persons. Anonymization procedures (K-anonymity) have been applied after aggregation. No materially relevant data was omitted.<\/p>\n
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[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/covid-ai.uni-koblenz.de\/wp-content\/uploads\/2024\/03\/web_household_infections.png” title_text=”web_household_infections” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
Finding I: Increasing household size decreases chances of avoiding an infection<\/b><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”2_5,3_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Finding II: Smokers are less susceptible for COVID-19 infections<\/b><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/covid-ai.uni-koblenz.de\/wp-content\/uploads\/2024\/03\/web_smoking_infections.png” title_text=”web_smoking_infections” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/covid-ai.uni-koblenz.de\/wp-content\/uploads\/2024\/03\/web_vaccination_infections.png” title_text=”web_vaccination_infections” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Finding<\/b> III: <\/b>Increasing<\/b> vaccinations<\/b>, <\/b>increases<\/b> the<\/b> chance<\/b> to<\/b> avoid<\/b> an <\/b>infection<\/b><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion_item title=”Conclusions” open=”on” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion_item title=”Literature” open=”on” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n 1. Doenges, P., G\u00f6tz, T., Krueger, T., Niedzielewski, K., Priesemann, V., & Schaefer, M. (2023). SIR-Model for Households. arXiv preprint arXiv:2301.04355.<\/p>\n 2. Paleiron, N., Mayet, A., Marbac, V., Perisse, A., Barazzutti, H., Brocq, F. X., … & Bylicki, O. (2021). Impact of tobacco smoking on the risk of COVID-19: a large scale retrospective cohort study. Nicotine and Tobacco Research, 23(8), 1398-1404.<\/p>\n 3. De Bruin, W. B., & Bennett, D. (2020). Relationships between initial COVID-19 risk perceptions and protective health behaviors: a national survey. American Journal of Preventive Medicine, 59(2), 157-167.<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Risk-Factors and Behavioral Aspects of COVID-19 in Higher Education The purpose of the present study was to collect data about the impact of the COVID-19 crisis on members of the University of Koblenz in order to understand the contextual aspects of a University environment related to COVID-19 infections and the behavior of university members in […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-234456","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=234456"}],"version-history":[{"count":5,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234456\/revisions"}],"predecessor-version":[{"id":234499,"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=\/wp\/v2\/pages\/234456\/revisions\/234499"}],"wp:attachment":[{"href":"https:\/\/covid-ai.uni-koblenz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=234456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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