LatiNET, a Multilevel Social Network Model to Examine and Address SARS-CoV-2 Misinformation in Low-Income Latinx Communities.

LatiNET，一种多层次社交网络模型，用于检查和解决低收入拉丁裔社区中的 SARS-CoV-2 错误信息。

• 批准号: 10631361
• 负责人: Mariano Juan Kanamori Nishimura
• 金额: $ 77.78万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-20 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10631361
• 关键词: 2019-nCoV; Address; Adoption; Area; Behavior; Belief; COVID-19 vaccine; Characteristics; Communication; Communities; Contracts; County; Decision Making; Discrimination; Disease; Dose; Economics; Emotional Bonds; Family; Family member; Florida; Frequencies; Friends; Friendships; Fright; Future; Health; Health Services; Individual; Influentials; Intervention; Knowledge; Language; Latinx; Latinx population; Learning; Low income; Medical; Misinformation; National Institute on Minority Health and Health Disparities; Network-based; Participant; Pathway Analysis; Perception; Policies; Political Factor; Politics; Population; Predisposition; Psychological Factors; Public Health; SARS-CoV-2 negative; Science; Seeds; Shapes; Site; Social Network; Source; Structural Racism; Structure; Symptoms; System; Testing; Time; Trust; Vaccinated; Vaccination; Work; cohesion; cultural values; design; economic disparity; experience; health disparity; health inequalities; health services network; intimate partner violence; member; network models; pandemic disease; poor communities; pressure; psychologic; recruit; service providers; social; social disparities; social factors; social stigma; social structure; sociodemographics; theories; therapy design; unvaccinated; vaccine hesitancy

PROJECT SUMMARY/ABSTRACT LatiNET will use a multilevel social network model to examine how SARS-CoV-2 misinformation and Conspiracy Theory (CT) messages are shared across five settings (friends, family, work, health service and influencers), impacting Latinx vaccine hesitancy. Social networks are self-organizing social systems that create and reinforce perceptions, both positive and negative. An important gap in current knowledge relates to the content, context and communication direction about SARS-CoV-2 misinformation and CT messages. By learning how Latinx social network structures hinder or promote SARS-CoV-2 misinformation and CT messages, we will inform the design of interventions that will reduce mistrust/fear and provide correct, timely, and comprehensive information, through multiple social network sources, enabling Latinx to make the best health decisions for themselves and their families. LatiNET will focus on low-income Latinx, which have long struggled with social, economic and health inequalities. Miami-Dade County, Florida will be the site for this study, where almost 100% of residents from in wealthiest areas have received at least one SARS-CoV-2 vaccine dose while fewer than a third of residents in poorer communities, mainly inhabited by Latinx individuals, have been vaccinated.1 We have also identified that misinformation and CT messages are prevalent in Florida.2 We will use Dr. Kanamori’s (PI) K99/R00 social network approaches3-8 and Drs. Uscinski’s and Stoler’s (Co-Is) misinformation and CT message framework2,9-11 to identify how network structures and dynamics introduce and spread misinformation and CT messages that could then influence Latinx vaccine hesitancy. We will also identify network structures and dynamics that promote discussion against SARS-CoV-2 misinformation and CT messages. LatiNET will study: 1) participants’ characteristics, 2) 624 friendship sociocentric networks, 3) 1,872 egocentric networks (family, work and health service), and 4) influencer networks, all of which will be part of our adapted NIMHD framework.12 Our AIMS are: 1) Determine how network structures and dynamics inside Latinx friendship networks shape the spread and adoption of misinformation and CT messages associated with SARS-CoV-2 vaccine hesitancy. 2) Distinguish homophily and dyadic characteristics and dynamics associated with misinformation and CT messages shared with family members, co-workers and health service providers. 3) Identify Latinx affiliations with community, celebrity, public health, political influencer and communication channels that spread CT and anti-CT messages. In all AIMS, we will also study the underlying social and structural factors associated with Latinx health decision-making (e.g., discrimination, stigma, intimate partner violence) and beliefs and behaviors tied to misinformation and CT messages (e.g., individual-level political, psychological, and social factors). LatiNET will provide new information that can inform policy and the design of future interventions to reduce the impact of misinformation and CT messages on SARS-CoV-2 vaccine hesitancy nationwide, and also with different priority populations.

项目摘要/摘要 Latinet将使用多层次的社交网络模型来研究SARS-COV-2未经信息的信息 阴谋论（CT）消息在五个环境（朋友，家人，工作，健康服务和 影响者），影响拉丁疫苗健康。社交网络是创造自我组织的社交系统 并加强正面和负面的看法。当前知识的一个重要差距与 有关SARS-COV-2错觉和CT消息的内容，上下文和通信方向。经过 了解拉丁人社交网络结构如何阻碍或促进SARS-COV-2的失误和CT 消息，我们将告知干预措施的设计，这些干预措施将减少Mildrust/恐惧并及时提供正确的 和全面的信息，通过多个社交网络来源，使拉丁裔能够发挥最佳状态 自己和家人的健康决定。拉丁美洲将专注于长期的低收入拉丁裔 在社会，经济和健康不平等方面挣扎。佛罗里达州迈阿密 - 戴德县将成为此地点 研究，在最富裕地区，近100％的居民至少收到了一个SARS-COV-2 疫苗剂量，而较贫穷社区的居民的疫苗剂量却不到三分之一，主要受拉丁的邀请 个人已经接种疫苗。1我们还确定了错觉和CT消息是 2我们将使用Kanamori博士（PI）K99/R00社交网络方法3-8和Drs。 USCINSKI和Stoler的（共同）的失误和CT消息框架2,9-11，以确定网络的方式 结构和动态介绍和传播错觉和CT消息，可能会影响 拉丁疫苗犹豫。我们还将确定促进讨论的网络结构和动态 反对SARS-COV-2的错觉和CT消息。拉丁美洲将研究：1）参与者的特征，2） 624友谊社会上心网络，3）1,872个以众多的以上为中心的网络（家庭，工作和卫生服务），4） 有影响力的网络，所有这些都将成为我们改编的NIMHD框架的一部分。12我们的目标是：1）确定 Latinx友谊网络中的网络结构和动态如何塑造的传播和采用 与SARS-COV-2疫苗犹豫相关的错误信息和CT消息。 2）均匀区分 以及与家人共享的二二元特征和动态 会员，同事和卫生服务提供者。 3）确定与社区，名人， 公共卫生，政治影响者和沟通渠道，传播CT和反CT信息。所有目标， 我们还将研究与拉丁人健康决策相关的基本社会和结构因素 （例如，歧视，污名，亲密的伴侣暴力）以及与错觉和CT相关的信念和行为 消息（例如个人政治，心理和社会因素）。拉丁美洲将提供新的 可以为政策提供信息的信息和未来干预措施的设计，以减少错觉的影响 以及全国范围内SARS-COV-2疫苗犹豫的CT消息，以及优先人群的不同。