RAPID: Availability and Utilization of Key Healthcare Resources during the COVID-19 Pandemic in Rural Texas
RAPID:德克萨斯州农村地区 COVID-19 大流行期间关键医疗资源的可用性和利用
基本信息
- 批准号:2030511
- 负责人:
- 金额:$ 5.75万
- 依托单位:
- 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
- 起止时间:2020-05-01 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The COVID-19 pandemic has affected urban and rural populations quite differently. Because of the high degree of community transmission, large, densely populated urban centers have experienced the vast majority of casualties in the early phases of the pandemic, but rural hospitals have also been affected as the pandemic spreads across the country. This Rapid Response Research (RAPID) grant will support the collection of time-sensitive data to document preparedness levels at rural hospitals over the course of the pandemic. Through a collaboration with the Texas Department of State Health Services (DSHS), this project will collect and archive data from four trauma regions (two rural, two urban) to identify unique challenges and opportunities faced by rural hospitals. COVID-19 is expected to eventually reach rural communities before an effective vaccine is available and the project has the potential to provide decision support to public health administrators to better manage critical resources during a pandemic or other mass casualty event. Working with the Center for Health Statistics of the Texas DSHS, this project will collect longitudinal data regarding COVID-19 testing, case reports, staffed hospital and ICU beds, deidentified admission and discharge data, and outpatient procedures for hospitals in four regions of the state of Texas. The project will also collect valuable subjective data by interviewing hospital decision-makers about their operational decisions. By collecting these data from regions supporting both rural and urban healthcare systems, the project will provide useful information on differences in urban and rural healthcare system response to the COVID-19 pandemic.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.
新冠肺炎疫情对城市和农村人口的影响截然不同。由于社区传播程度很高,人口稠密的大型城市中心在疫情初期经历了绝大多数的伤亡,但随着疫情在全国蔓延,农村医院也受到了影响。这笔快速反应研究(RAPID)赠款将支持收集时间敏感的数据,以记录乡村医院在大流行期间的防备水平。通过与德克萨斯州卫生服务部的合作,该项目将收集和存档四个创伤地区(两个农村,两个城市)的数据,以确定乡村医院面临的独特挑战和机遇。新冠肺炎预计最终将在有效疫苗问世之前覆盖农村社区,该项目有可能为公共卫生管理者提供决策支持,以便在大流行或其他大规模伤亡事件期间更好地管理关键资源。该项目将与德克萨斯州医疗卫生统计中心合作,收集德克萨斯州四个地区医院的新冠肺炎测试、病例报告、医院和重症监护病房床位、身份识别的入院和出院数据以及门诊程序的纵向数据。该项目还将通过采访医院决策者的操作决策来收集有价值的主观数据。通过从同时支持农村和城市医疗体系的地区收集这些数据,该项目将提供关于城市和农村医疗体系对新冠肺炎大灾难响应的差异的有用信息。该奖项反映了美国国家科学基金会的法定使命,并已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。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Planning the Trauma Hospital Network Expansion to Increase Access in Rural Communities
规划创伤医院网络扩建以增加农村社区的就诊机会
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Holly, Streber;Streber, Kayla;Van, Mary;Pérez, Eduardo
- 通讯作者:Pérez, Eduardo
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Eduardo Perez其他文献
Active reduction of high-level acoustic noise on a fMRI test-bed using labview and FPGA platforms
使用 Labview 和 FPGA 平台主动降低 fMRI 测试台上的高水平噪声
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
V. R. Ramachandran;I. Panahi;Eduardo Perez - 通讯作者:
Eduardo Perez
PERCUTANEOUS INTERVENTION OF THE SAPHENOUS VENOUS GRAFT ARISING FROM DESCENDING AORTA TO THE LEFT CIRCUMFLEX: A RARE, TECHNICALLY COMPLICATED BUT FEASIBLE INTERVENTION
- DOI:
10.1016/s0735-1097(20)34007-9 - 发表时间:
2020-03-24 - 期刊:
- 影响因子:
- 作者:
Jose Sleiman;Morvarid Zandiyeh;Rafael Miret;Hardik M. Bhansali;Mileydis Alonso;Diana Miranda Ruiz;Eduardo Perez;Nader Hanna;Luis Alonso Hernandez Mejia;Kevin Leung;Nicholas Ghiloni;Howard S. Bush - 通讯作者:
Howard S. Bush
Sensitivity of HfO<sub>2</sub>-based RRAM Cells to Laser Irradiation
- DOI:
10.1016/j.micpro.2021.104376 - 发表时间:
2021-11-01 - 期刊:
- 影响因子:
- 作者:
Dmytro Petryk;Zoya Dyka;Eduardo Perez;Ievgen Kabin;Jens Katzer;Jan Schäffner;Peter Langendörfer - 通讯作者:
Peter Langendörfer
Methodology for the Identification of Dust Accumulation Levels in Photovoltaic Panels Based in Heuristic-Statistical Techniques
基于启发式统计技术的光伏电池板灰尘积累水平识别方法
- DOI:
10.3390/electronics11213503 - 发表时间:
2022 - 期刊:
- 影响因子:2.9
- 作者:
Eduardo Perez;D. A. Elvira;R. Osornio;J. Antonino - 通讯作者:
J. Antonino
CHRONIC TOTAL OCCLUSION OF THE LEFT MAIN CORONARY ARTERY IN AN UN-BYPASSED PATIENT PRESENTING WITH MINIMAL EXERTIONAL ANGINA
- DOI:
10.1016/s0735-1097(20)33397-0 - 发表时间:
2020-03-24 - 期刊:
- 影响因子:
- 作者:
Luis Alonso Hernandez Mejia;Hardik M. Bhansali;Nader Hanna;Kevin Leung;Nicholas Ghiloni;Diana Miranda Ruiz;Jose Sleiman;Eduardo Perez;Elsy Navas;Kenneth Fromkin - 通讯作者:
Kenneth Fromkin
Eduardo Perez的其他文献
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{{ truncateString('Eduardo Perez', 18)}}的其他基金
RAPID: Identification and Analysis of Key Dynamics Required for Sustainable Operations of Texas Food Banks after Hurricane Disasters
RAPID:飓风灾难后德克萨斯州食品银行可持续运营所需的关键动态的识别和分析
- 批准号:
1805721 - 财政年份:2018
- 资助金额:
$ 5.75万 - 项目类别:
Standard Grant
EAGER-DynamicData: Minimizing Wind Farm Operation and Maintenance Cost Using Data-Driven Models
EAGER-DynamicData:使用数据驱动模型最大限度地降低风电场运营和维护成本
- 批准号:
1462291 - 财政年份:2015
- 资助金额:
$ 5.75万 - 项目类别:
Standard Grant
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