RAPID: Trust in Public Health Information During a Pandemic
RAPID: Trust in Public Health Information During a Pandemic
批准号:
2027426
负责人:
Kenneth Fleischmann
金额:
$19.48万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-15 至 2022-04-30
中文摘要
这项危机信息学研究将为普通民众对新冠肺炎疫情的反应提供证据,并与医护人员广泛分享研究结果,以帮助他们限制对社会的负面影响,并鼓励公民采取适当行动,减少疾病的传播。从长远来看,这些结果将有助于改善我们对未来大流行的准备。它将增加我们对社交媒体在公众了解和应对大流行方面所发挥作用的理解,还将推动卫生信息学和卫生传播中的信息框架工作。一些结果可能有助于社会和政府为潜在的突发事件做好准备,例如生物恐怖主义和其他意想不到的大规模紧急情况。在全球卫生危机期间,检疫和隔离等公共卫生干预措施可以限制病毒的传播,降低发病率和死亡率,同时减少对卫生保健系统的影响。健康教育干预,特别是通过社交媒体,对于确保普通公众听取专家的建议至关重要。鉴于老年人的电子健康素养普遍较低,而且流行病对老年人的影响越来越大,新冠肺炎的情况尤其如此,确保老年人及其照顾者理解和信任公共卫生信息对于拯救生命至关重要。这项混合方法研究将允许快速、安全地从目前经历大流行的人群中收集数据,以了解在真实环境中影响对当前公共卫生信息干预措施的信任的因素。它的在线数据收集不会危及研究人员或参与者的健康,寻求包括大量老年人在内的分层样本,并采用强有力的招聘战略。这项工作将分三个严格但迅速的阶段完成:(1)调查,包括一系列以前经过验证的工具,以及针对当前新冠肺炎大流行的开放式问题;(2)比较不同健康信息有效性的实验;以及(3)一套建议,可以指导公共卫生官员根据年龄和电子健康素养等因素决定如何为特定受众定制信息。人类受试者在真实情景和假想情景中的表现不同,因此,评估人们在大流行期间对公共卫生干预措施的反应的最佳时机是在非常重要的大流行正在进行的时候。新冠肺炎提供了一个难得的机会,可以在人们经历被调查的现象时收集他们的数据。该项目将确定影响对公共卫生信息信任的因素,以及如何为不同年龄段的人量身定做公共卫生信息干预措施。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This research in crisis informatics will provide evidence of how the general population is reacting to the COVID-19 pandemic and share the findings broadly with healthcare workers to help them limit the negative effects on society and encourage citizens to take appropriate actions to reduce the spread of the disease. Over the longer term, the results will contribute to improvements in our preparedness for future pandemics. It will increase our understanding of the role that social media plays in public understanding of and response to a pandemic, and also will advance work on message framing within health informatics and health communication. Some of the results could help society and government prepare for potential contingencies such as bioterrorism and other unexpected large-scale emergencies. During a global health crisis, public health interventions such as quarantine and isolation can limit the spread of the virus, reducing morbidity and mortality while reducing the impact on the health care system. Health education interventions, particularly via social media, are critical for ensuring that the general public heeds recommendations from experts. Given the generally low e-health literacy of older adults, and in light of the increased impact that pandemics have on older adults, as is particularly the case for COVID-19, ensuring that older adults and their caregivers understand and trust public health information is critical for saving lives. This mixed-method study will allow quick and safe collection of data from people currently experiencing a pandemic, to understand the factors that influence trust in current public health information interventions in a real setting. Its online data collection will not risk the health of researchers or participants, seeking a stratified sample including a significant number of older adults and employing a robust recruitment strategy. The work will be done in three rigorous but swift stages: (1) a survey, including a battery of previously validated instruments along with open-ended questions specific to the current COVID-19 pandemic; (2) an experiment to compare the effectiveness of different health messages; and (3) a set of recommendations that can guide public health officials in deciding how to tailor messages for particular audiences based on factors such as age and e-health literacy. Human subjects perform differently in real versus hypothetical scenarios, so the best time to evaluate how people react to public health interventions during a pandemic is when a very significant one is in process. COVID-19 represents a rare opportunity to collect data from people while they are experiencing the phenomenon under investigation. This project will identify factors that influence trust in public health information, and how public health information interventions can be tailored to be effective for people of various ages.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
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会议论文
EESE: Collaborative Research: Understanding and Preparing Future Computer Professionals for the Ethical Complexities of a Diverse World
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批准号:1314002
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项目类别:Standard Grant
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资助金额:$8.47万
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财政年份:2012
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负责人:Kenneth Fleischmann
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依托单位:
EESE: Collaborative Research: Understanding and Preparing Future Computer Professionals for the Ethical Complexities of a Diverse World
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批准号:1135192
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项目类别:Standard Grant
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资助金额:$9.5万
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财政年份:2011
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负责人:Kenneth Fleischmann
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依托单位:
Collaborative Research: Educational Simulation for Computing and Information Ethics
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批准号:0734894
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2008
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负责人:Kenneth Fleischmann
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依托单位:
Collaborative Research: Ethical Implications of Values in Computational Modeling
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批准号:0731817
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Kenneth Fleischmann
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依托单位:
SGER: Past Futures and Technoscientific Innovation: Science Fiction in the Lives of Scientists and Engineers
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批准号:0731819
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项目类别:Standard Grant
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资助金额:$0.6万
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财政年份:2007
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负责人:Kenneth Fleischmann
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依托单位:
Collaborative Research: An Exploratory Study of the Ethical Implications of Embedding Values in Computational Models
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批准号:0731818
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项目类别:Standard Grant
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资助金额:$3.44万
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财政年份:2007
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负责人:Kenneth Fleischmann
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依托单位:
Collaborative Research: Ethical Implications of Values in Computational Modeling
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批准号:0646392
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项目类别:Continuing Grant
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资助金额:$10.67万
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财政年份:2007
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负责人:Kenneth Fleischmann
-
依托单位:
Collaborative Research: An Exploratory Study of the Ethical Implications of Embedding Values in Computational Models
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批准号:0650759
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项目类别:Standard Grant
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资助金额:$3.44万
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财政年份:2006
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负责人:Kenneth Fleischmann
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依托单位:
SGER: Past Futures and Technoscientific Innovation: Science Fiction in the Lives of Scientists and Engineers
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批准号:0639897
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2006
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负责人:Kenneth Fleischmann
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依托单位:
SGER: Past Futures and Technoscientific Innovation: Science Fiction in the Lives of Scientists and Engineers
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批准号:0650758
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2006
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负责人:Kenneth Fleischmann
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依托单位:
Collaborative Research: An Exploratory Study of the Ethical Implications of Embedding Values in Computational Models
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批准号:0521117
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项目类别:Standard Grant
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资助金额:$6.05万
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财政年份:2005
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负责人:Kenneth Fleischmann
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依托单位:
海外基金