• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

审视心理社会因素及社区缓解措施以限制新冠病毒传播:来自尼日利亚的证据

Examining Psychosocial Factors and Community Mitigation Practices to Limit the Spread of COVID-19: Evidence from Nigeria.

作者信息

Shittu Ekundayo, Adewumi Funmilayo, Ene Nkemdilim, Keluo-Udeke Somto Chloe, Wonodi Chizoba

机构信息

Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC 20052, USA.

Women Advocates for Vaccine Access (WAVA), 15 Amazon Street, Off Alvan Ikoku Way, Maitama, Abuja 904101, Nigeria.

出版信息

Healthcare (Basel). 2022 Mar 21;10(3):585. doi: 10.3390/healthcare10030585.

DOI:10.3390/healthcare10030585
PMID:35327062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8949232/
Abstract

We examine the psychosocial factors influencing community adoption of non-pharmaceutical interventions (NPI) to limit the spread of COVID-19. Using data from 990 respondents in communities across Nigeria, we examine the correlation of health behaviors and socioeconomic indicators. We conduct logistic regression to estimate the relationship between mask wearing as a health-seeking NPI with demographic and socioeconomic variables. We estimate separate models in the sensitivity robustness checks with other NPIs and control for differences across sex, age, education, number in household, and the presence of a student in the respondent's household. A crucial finding is that health-seeking NPI behaviors are statistically significantly affected in different ways by the menu of socioeconomic indicators. The control for age, sex, education, and household size indicates that there is intersectionality of how these factors influence specific mitigation practices. We find that women are more likely to engage in mask wearing, hand washing, and use of hand sanitizers and tissues than men, and the provision of palliatives and access to family supplies significantly enhances community mitigation. Palliatives and access to family supplies enhance most health-seeking behaviors. The implication for pandemic mitigation policy is that minimizing incidence rates requires having responsive initiatives such as information updates on pandemic progression.

摘要

我们研究了影响社区采用非药物干预措施(NPI)以限制新冠病毒传播的社会心理因素。利用来自尼日利亚各地社区990名受访者的数据,我们研究了健康行为与社会经济指标之间的相关性。我们进行逻辑回归分析,以估计作为寻求健康的非药物干预措施的佩戴口罩行为与人口统计学和社会经济变量之间的关系。在敏感性稳健性检验中,我们针对其他非药物干预措施估计了单独的模型,并控制了性别、年龄、教育程度、家庭人数以及受访者家庭中是否有学生等方面的差异。一个关键发现是,寻求健康的非药物干预措施行为受到社会经济指标组合的不同方式的显著统计影响。对年龄、性别、教育程度和家庭规模的控制表明,这些因素影响特定缓解措施的方式存在交叉性。我们发现,女性比男性更有可能佩戴口罩、洗手、使用洗手液和纸巾,而提供救济物资和获得家庭用品显著增强了社区的缓解措施。救济物资和获得家庭用品增强了大多数寻求健康的行为。对疫情缓解政策的启示是,要将发病率降至最低,需要采取诸如更新疫情进展信息等响应性举措。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/2be9b5918698/healthcare-10-00585-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/394035208e4a/healthcare-10-00585-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/39797ce4956d/healthcare-10-00585-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/2be9b5918698/healthcare-10-00585-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/394035208e4a/healthcare-10-00585-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/39797ce4956d/healthcare-10-00585-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a40/8949232/2be9b5918698/healthcare-10-00585-g011.jpg

相似文献

1
Examining Psychosocial Factors and Community Mitigation Practices to Limit the Spread of COVID-19: Evidence from Nigeria.审视心理社会因素及社区缓解措施以限制新冠病毒传播:来自尼日利亚的证据
Healthcare (Basel). 2022 Mar 21;10(3):585. doi: 10.3390/healthcare10030585.
2
Non-pharmaceutical Interventions for Pandemic COVID-19: A Cross-Sectional Investigation of US General Public Beliefs, Attitudes, and Actions.2019年冠状病毒病大流行的非药物干预措施:美国公众信念、态度和行为的横断面调查
Front Med (Lausanne). 2020 Jul 3;7:384. doi: 10.3389/fmed.2020.00384. eCollection 2020.
3
Survival analysis of factors affecting the timing of COVID-19 non-pharmaceutical interventions by U.S. universities.美国大学影响新冠病毒非药物干预时机因素的生存分析。
BMC Public Health. 2021 Nov 2;21(1):1985. doi: 10.1186/s12889-021-12035-6.
4
Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude, and Four Nonpharmaceutical Interventions During the Late Period of the COVID-19 Epidemic in China: Online Cross-Sectional Survey of 8158 Adults.中国新冠疫情后期新冠病毒感染与风险认知、知识、态度及四项非药物干预措施之间的关系:对8158名成年人的在线横断面调查
J Med Internet Res. 2020 Nov 13;22(11):e21372. doi: 10.2196/21372.
5
Pandemic preparedness: perceptions of vulnerable migrants in Thailand towards WHO-recommended non-pharmaceutical interventions: a cross-sectional study.大流行防范:泰国弱势移民对世卫组织推荐的非药物干预措施的认知:一项横断面研究。
BMC Public Health. 2014 Jun 28;14:665. doi: 10.1186/1471-2458-14-665.
6
Mask use, risk-mitigation behaviours and pandemic fatigue during the COVID-19 pandemic in five cities in Australia, the UK and USA: A cross-sectional survey.在澳大利亚、英国和美国的五个城市进行的一项横断面调查显示,在 COVID-19 大流行期间,口罩使用、风险缓解行为和大流行疲劳情况。
Int J Infect Dis. 2021 May;106:199-207. doi: 10.1016/j.ijid.2021.03.056. Epub 2021 Mar 23.
7
Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data.六个国家公众对COVID-19非药物干预措施的认知与态度:基于推特数据的主题建模分析
J Med Internet Res. 2020 Sep 3;22(9):e21419. doi: 10.2196/21419.
8
COVID-19 Mitigation Behaviors by Age Group - United States, April-June 2020.2020 年 4 月至 6 月美国按年龄组划分的 COVID-19 缓解行为
MMWR Morb Mortal Wkly Rep. 2020 Oct 30;69(43):1584-1590. doi: 10.15585/mmwr.mm6943e4.
9
Heterogeneity in the Effectiveness of Non-pharmaceutical Interventions During the First SARS-CoV2 Wave in the United States.美国在首轮 SARS-CoV2 疫情期间非药物干预措施效果的异质性。
Front Public Health. 2021 Nov 29;9:754696. doi: 10.3389/fpubh.2021.754696. eCollection 2021.
10
Health and Demographic Surveillance System: A Potential Tool for Solving Challenges Associated with Epidemic Surveillance and Social Protection Scheme for COVID-19 Pandemic Response in Nigeria.健康与人口监测系统:应对尼日利亚新冠疫情的一种潜在工具,可用于解决与疫情监测及社会保护计划相关的挑战。
J Prim Care Community Health. 2021 Jan-Dec;12:21501327211000250. doi: 10.1177/21501327211000250.

引用本文的文献

1
Assessing COVID-19 Pandemic-Era Vaccine Uptake and Adherence to Prevention Measures: A Comparative Analysis Among Men and Women Using Lot Quality Assurance Sampling in Central Uganda.评估新冠疫情时期的疫苗接种情况及对预防措施的遵守情况:乌干达中部地区采用批量质量保证抽样法对男性和女性进行的比较分析
Risk Manag Healthc Policy. 2025 Jan 21;18:249-268. doi: 10.2147/RMHP.S493435. eCollection 2025.
2
Impact of Covid -19 incidence rate and government-initiated risk communication measures on individual's NPI practices.新冠发病率和政府启动的风险沟通措施对个人防护措施实践的影响。
PLoS One. 2024 Mar 14;19(3):e0283294. doi: 10.1371/journal.pone.0283294. eCollection 2024.
3

本文引用的文献

1
Globally altered sleep patterns and physical activity levels by confinement in 5056 individuals: ECLB COVID-19 international online survey.5056名个体因隔离导致全球睡眠模式和身体活动水平改变:欧洲COVID-19纵向生物库国际在线调查
Biol Sport. 2021 Oct;38(4):495-506. doi: 10.5114/biolsport.2021.101605. Epub 2020 Dec 23.
2
COVID-19 Lockdowns: A Worldwide Survey of Circadian Rhythms and Sleep Quality in 3911 Athletes from 49 Countries, with Data-Driven Recommendations.COVID-19 封锁期间:49 个国家的 3911 名运动员的全球昼夜节律和睡眠质量调查,以及基于数据的建议。
Sports Med. 2022 Jun;52(6):1433-1448. doi: 10.1007/s40279-021-01601-y. Epub 2021 Dec 8.
3
The effect of non-pharmaceutical interventions on COVID-19 outcomes: A heterogeneous age-related generalisation of the SEIR model.
非药物干预对COVID-19结果的影响:SEIR模型与年龄相关的异质性概括
Infect Dis Model. 2023 Jun 22;8(3):742-68. doi: 10.1016/j.idm.2023.05.009.
Training During the COVID-19 Lockdown: Knowledge, Beliefs, and Practices of 12,526 Athletes from 142 Countries and Six Continents.
新冠疫情封锁期间的训练:来自六大洲 142 个国家的 12526 名运动员的知识、信念和实践。
Sports Med. 2022 Apr;52(4):933-948. doi: 10.1007/s40279-021-01573-z. Epub 2021 Oct 23.
4
COVID-19 risk perception and coping mechanisms: Does gender make a difference?新冠疫情风险认知与应对机制:性别有影响吗?
Int J Disaster Risk Reduct. 2021 Mar;55:102096. doi: 10.1016/j.ijdrr.2021.102096. Epub 2021 Feb 2.
5
Effectiveness of Mask Wearing to Control Community Spread of SARS-CoV-2.佩戴口罩对控制SARS-CoV-2社区传播的有效性。
JAMA. 2021 Mar 9;325(10):998-999. doi: 10.1001/jama.2021.1505.
6
Sex differences in susceptibility, severity, and outcomes of coronavirus disease 2019: Cross-sectional analysis from a diverse US metropolitan area.性别差异在 2019 冠状病毒病的易感性、严重程度和结局中的作用:来自美国多元化大都市地区的横断面分析。
PLoS One. 2021 Jan 13;16(1):e0245556. doi: 10.1371/journal.pone.0245556. eCollection 2021.
7
Inferring the effectiveness of government interventions against COVID-19.推断政府干预 COVID-19 的效果。
Science. 2021 Feb 19;371(6531). doi: 10.1126/science.abd9338. Epub 2020 Dec 15.
8
Nigeria's public health response to the COVID-19 pandemic: January to May 2020.尼日利亚对2019冠状病毒病疫情的公共卫生应对措施:2020年1月至5月
J Glob Health. 2020 Dec;10(2):020399. doi: 10.7189/jogh.10.020399.
9
Public health law and science in the community mitigation strategy for Covid-19.新冠疫情社区缓解策略中的公共卫生法律与科学
J Law Biosci. 2020 May 8;7(1):lsaa019. doi: 10.1093/jlb/lsaa019. eCollection 2020 Jan-Jun.
10
Engaging With Communities - Lessons (Re)Learned From COVID-19.社区参与——从 COVID-19 中汲取的(重新)经验教训。
Prev Chronic Dis. 2020 Jul 16;17:E65. doi: 10.5888/pcd17.200250.