{"title":"湖北省COVID-19期间感知礼貌和附属耻辱简要测量的网络分析","authors":"Wenjie Duan, Jingying Wang, Zichuan Wang","doi":"10.1080/26408066.2023.2192716","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The current study aims to test perceived affiliate and courtesy stigma in Hubei province China during the early periods of COVID-19 by using network analysis.</p><p><strong>Method: </strong>In this study, 4,591 participants (3,034 female, mean age = 26.64) from the Hubei Province of China were recruited to conduct network analysis.</p><p><strong>Results: </strong>The network analysis found network connections between <i>Estranged</i> - <i>Blamed</i>, <i>Shamed</i> - <i>No Strong Point</i>, and <i>Rejected</i> - <i>Plague</i> were the strongest. The most important stigma features (nodes) of COVID-19 (i.e. <i>Plague</i>, <i>No Strong Point</i>, <i>Discriminated</i>, and <i>Disgusting</i>).</p><p><strong>Discussion and conclusions: </strong>This study uncovered the most central features of perceived affiliate and courtesy stigma on COVID-19, proposing these features (and associations between features) could be prioritized for anti-stigma interventions for the COVID-19 pandemic.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":"20 5","pages":"623-636"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Network Analysis of Brief Measure of Perceived Courtesy and Affiliate Stigma During COVID-19 in Hubei China.\",\"authors\":\"Wenjie Duan, Jingying Wang, Zichuan Wang\",\"doi\":\"10.1080/26408066.2023.2192716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The current study aims to test perceived affiliate and courtesy stigma in Hubei province China during the early periods of COVID-19 by using network analysis.</p><p><strong>Method: </strong>In this study, 4,591 participants (3,034 female, mean age = 26.64) from the Hubei Province of China were recruited to conduct network analysis.</p><p><strong>Results: </strong>The network analysis found network connections between <i>Estranged</i> - <i>Blamed</i>, <i>Shamed</i> - <i>No Strong Point</i>, and <i>Rejected</i> - <i>Plague</i> were the strongest. The most important stigma features (nodes) of COVID-19 (i.e. <i>Plague</i>, <i>No Strong Point</i>, <i>Discriminated</i>, and <i>Disgusting</i>).</p><p><strong>Discussion and conclusions: </strong>This study uncovered the most central features of perceived affiliate and courtesy stigma on COVID-19, proposing these features (and associations between features) could be prioritized for anti-stigma interventions for the COVID-19 pandemic.</p>\",\"PeriodicalId\":73742,\"journal\":{\"name\":\"Journal of evidence-based social work (2019)\",\"volume\":\"20 5\",\"pages\":\"623-636\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of evidence-based social work (2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/26408066.2023.2192716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of evidence-based social work (2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/26408066.2023.2192716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Network Analysis of Brief Measure of Perceived Courtesy and Affiliate Stigma During COVID-19 in Hubei China.
Purpose: The current study aims to test perceived affiliate and courtesy stigma in Hubei province China during the early periods of COVID-19 by using network analysis.
Method: In this study, 4,591 participants (3,034 female, mean age = 26.64) from the Hubei Province of China were recruited to conduct network analysis.
Results: The network analysis found network connections between Estranged - Blamed, Shamed - No Strong Point, and Rejected - Plague were the strongest. The most important stigma features (nodes) of COVID-19 (i.e. Plague, No Strong Point, Discriminated, and Disgusting).
Discussion and conclusions: This study uncovered the most central features of perceived affiliate and courtesy stigma on COVID-19, proposing these features (and associations between features) could be prioritized for anti-stigma interventions for the COVID-19 pandemic.
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