Who does or does not use the ‘Corona-Warn-App’ and why?
Abstract To slow the spread of SARS-CoV-2, the German government released the ‘Corona-Warn-App’, a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the ‘Corona-Warn-App’ is health-relevant behavior, it is essential to...
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| Veröffentlicht in: | European journal of public health 2021-02, Vol.31 (1), p.49-51 |
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| container_title | European journal of public health |
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| creator | Horstmann, Kai T Buecker, Susanne Krasko, Julia Kritzler, Sarah Terwiel, Sophia |
| description | Abstract
To slow the spread of SARS-CoV-2, the German government released the ‘Corona-Warn-App’, a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the ‘Corona-Warn-App’ is health-relevant behavior, it is essential to understand who is (and who is not) using it and why. In N = 1972 German adults, we found that non-users were on average older, female, healthier, in training and had low general trust in others. The most frequently named reasons by non-users were privacy concerns, doubts about the effectiveness of the app and lack of technical equipment. |
| doi_str_mv | 10.1093/eurpub/ckaa239 |
| format | Article |
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To slow the spread of SARS-CoV-2, the German government released the ‘Corona-Warn-App’, a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the ‘Corona-Warn-App’ is health-relevant behavior, it is essential to understand who is (and who is not) using it and why. In N = 1972 German adults, we found that non-users were on average older, female, healthier, in training and had low general trust in others. The most frequently named reasons by non-users were privacy concerns, doubts about the effectiveness of the app and lack of technical equipment.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckaa239</identifier><identifier>PMID: 33340328</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Adults ; Age Factors ; Behavior ; Communicable Disease Control - methods ; Contact tracing ; Contact Tracing - methods ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; Disease Outbreaks - prevention & control ; Epidemics ; Female ; Germany ; Health Status ; Humans ; Mobile applications ; Mobile Applications - statistics & numerical data ; Pandemics ; Population Surveillance - methods ; Psychological aspects ; Public health ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Sex Factors ; Smartphone - statistics & numerical data ; Smartphones ; Surveys ; Surveys and Questionnaires ; User groups</subject><ispartof>European journal of public health, 2021-02, Vol.31 (1), p.49-51</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved. 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-f88d7d9d9ebb47da5c31951cd0222eb31714302613525f486e53ddf17884a9f53</citedby><cites>FETCH-LOGICAL-c518t-f88d7d9d9ebb47da5c31951cd0222eb31714302613525f486e53ddf17884a9f53</cites><orcidid>0000-0003-3224-1880 ; 0000-0003-3443-5400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,1599,27847,27905,27906</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/eurpub/ckaa239$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33340328$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Horstmann, Kai T</creatorcontrib><creatorcontrib>Buecker, Susanne</creatorcontrib><creatorcontrib>Krasko, Julia</creatorcontrib><creatorcontrib>Kritzler, Sarah</creatorcontrib><creatorcontrib>Terwiel, Sophia</creatorcontrib><title>Who does or does not use the ‘Corona-Warn-App’ and why?</title><title>European journal of public health</title><addtitle>Eur J Public Health</addtitle><description>Abstract
To slow the spread of SARS-CoV-2, the German government released the ‘Corona-Warn-App’, a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the ‘Corona-Warn-App’ is health-relevant behavior, it is essential to understand who is (and who is not) using it and why. In N = 1972 German adults, we found that non-users were on average older, female, healthier, in training and had low general trust in others. 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To slow the spread of SARS-CoV-2, the German government released the ‘Corona-Warn-App’, a smartphone application that warns users if they have come into contact with other users tested positive for SARS-CoV-2. Since using the ‘Corona-Warn-App’ is health-relevant behavior, it is essential to understand who is (and who is not) using it and why. In N = 1972 German adults, we found that non-users were on average older, female, healthier, in training and had low general trust in others. The most frequently named reasons by non-users were privacy concerns, doubts about the effectiveness of the app and lack of technical equipment.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33340328</pmid><doi>10.1093/eurpub/ckaa239</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0003-3224-1880</orcidid><orcidid>https://orcid.org/0000-0003-3443-5400</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | European journal of public health, 2021-02, Vol.31 (1), p.49-51 |
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| language | eng |
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| source | Oxford Journals Open Access Collection |
| subjects | Adult Adults Age Factors Behavior Communicable Disease Control - methods Contact tracing Contact Tracing - methods COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control Disease Outbreaks - prevention & control Epidemics Female Germany Health Status Humans Mobile applications Mobile Applications - statistics & numerical data Pandemics Population Surveillance - methods Psychological aspects Public health SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Sex Factors Smartphone - statistics & numerical data Smartphones Surveys Surveys and Questionnaires User groups |
| title | Who does or does not use the ‘Corona-Warn-App’ and why? |
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