课题基金 / 基金详情

RAPID: Collection and Archiving of Vital Data on COVID-19 Vaccine Distribution

RAPID: Collection and Archiving of Vital Data on COVID-19 Vaccine Distribution
RAPID:收集和归档有关 COVID-19 疫苗分发的重要数据
批准号:
2124825
负责人:
Ali Hajbabaie
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-06-01 至 2023-05-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
有效预防COVID-19的疫苗于二零二零年十二月首次在美国获批紧急使用。 此后,随着疫苗供应稳步增加,疫苗通过医院、药店、养老院、公共卫生部门、大规模疫苗接种点等多种渠道分阶段分发到各州,力求为尽可能多的公民接种疫苗,降低发病率和死亡率。 在短时间内大规模分发和施用疫苗,特别是在特殊的冷藏要求下,是一个具有挑战性和复杂的后勤问题。这项快速反应研究(RAPID)拨款支持从疾病控制和预防中心(CDC)和一些州公共卫生部门收集有关COVID-19疫苗分配和管理的时间敏感数据。 收集和存档美国疫苗接种工作的时间敏感数据将有助于研究人员研究分布情况,并能够更有效地应对未来的大流行病或自然或人为灾害。该项目将收集有关COVID-19疫苗分配、分发和运输、管理和库存的数据,以量化疫苗接种绩效指标,如前置时间、性别或种族/民族的公平性以及疫苗变质。此外,该项目将收集各州制定的与疫苗分配/管理相关的政策和决策的数据,包括资格扩展的日期和类型、分配网络、用于管理疫苗分配的信息系统、在选定时间点使用的供应商地点数量、数据跟踪中是否存在种族/民族因素以及全州呼叫中心或等候名单的使用。所有收集的数据将被去识别,存储和管理在一个集中的系统中,最终提供给研究人员(根据隐私规则允许)。该项目将开发一个在线疫苗接种门户网站,其主要目标是提供对收集的数据、图形和数据下载功能的高层次分析。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值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
Vaccines that are effective at protecting against COVID-19 were first approved for emergency use in the United States in December, 2020. Since that time, as vaccine supply has steadily increased, vaccines have been distributed to states in phases through a variety of channels, including hospitals, pharmacies, nursing homes, public health departments, and mass vaccination sites in an effort to vaccinate as many citizens as possible to reduce morbidity and mortality. Distributing and administering a vaccine on a large scale over a short time period, particularly under extraordinary cold storage requirements, is a challenging and complex logistical problem. This Rapid Response Research (RAPID) grant supports the collection of time-sensitive data on COVID-19 vaccine distribution and administration from the Centers for Disease Control and Prevention (CDC) and a select number of state public health departments. The collection and archiving of time-sensitive data on the vaccination effort in the US will assist researchers in studying the distribution and enable a more efficient response to future pandemics or natural or man-made disasters. This project will collect data on COVID-19 vaccine allocation, distribution and shipment, administration, and inventory to quantify vaccination performance measures such as lead-times, equity with respect to gender or race/ethnicity, and vaccine spoilage. In addition, the project will collect data on policies and decisions made by states that relate to vaccine distribution/administration including the date and type of eligibility expansion, distribution network, the information system used for managing vaccine distribution, number of provider sites in use at select points in time, existence of race/ethnicity elements in the data tracking, and use of state-wide call center or waiting list. All collected data will be de-identified, stored, and managed in a centralized system eventually to make available (as allowable per privacy rules) to researchers. The project will develop an online vaccination portal, whose main goal is to provide a high-level analysis of the collected data, graphics, and data downloading capabilities.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)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1287/trsc.2022.1134
发表时间: 2022-04-01
期刊: TRANSPORTATION SCIENCE
影响因子: 4.6
作者: [Hajibabai, Leila, Hajbabaie, Ali, Vergano, Dan]
通讯作者: Vergano, Dan
海外基金