The Memphis Pandemic Health Informatics System (MEMPHI-SYS)—Creating a Metropolitan COVID-19 Data Registry Linked Directly to Community Testing to Enhance Population Health Surveillance

Author:

Schwartz David L.,Stewart Altha,Harris Laura,Ozdenerol Esra,Thomas Fridtjof,Johnson Karen C.,Davis Robert,Shaban-Nejad Arash

Abstract

Abstract The current coronavirus disease (COVID-19) pandemic has placed unprecedented strain on underfunded public health resources in the Southeastern United States. The Memphis, TN, metropolitan region has lacked infrastructure for health data exchange. This manuscript describes a multidisciplinary initiative to create a community-focused COVID-19 data registry, the Memphis Pandemic Health Informatics System (MEMPHI-SYS). MEMPHI-SYS leverages test result data updated directly from community-based testing sites, as well as a full complement of public health data sets and knowledge-based informatics. It has been guided by relationships with community stakeholders and is managed alongside the largest publicly funded community-based COVID-19 testing response in the Mid-South. MEMPHI-SYS has supported interactive Web-based analytic resources and informs federally funded COVID-19 outreach directed toward neighborhoods most in need of pandemic support. MEMPHI-SYS provides an instructive case study of how to collaboratively establish the technical scaffolding and human relationships necessary for data-driven, health equity-focused pandemic surveillance, and policy interventions.

Publisher

Cambridge University Press (CUP)

Subject

Public Health, Environmental and Occupational Health

Reference40 articles.

1. 17. The Nielsen Dataset. Nielsen and NielsenIQ. Chicagobooth.edu. N.d. Accessed August 26, 2022. https://www.chicagobooth.edu/research/kilts/datasets/nielseniq-nielsen

2. PopHR: a knowledge-based platform to support integration, analysis, and visualization of population health data

3. 33. Neergaard, L , Fingerhut, H. AP-NORC poll. Only half in US want shots as vaccine nears. AP News. Published December 9, 2020. Accessed August 26, 2022. https://apnews.com/article/ap-norc-poll-us-half-want-vaccine-shots-4d98dbfc0a64d60d52ac84c3065dac55

4. 34. KFF COVID-19 Vaccine Monitor. KFF. N.d. Accessed August 26, 2022. https://www.kff.org/coronavirus-covid-19/dashboard/kff-covid-19-vaccine-monitor-dashboard/?gclid=CjwKCAjwnPOEBhA0EiwA609RedLbviGzUHA5Y1aud5rkN2wxjCIqR73shATx8j4dbtVHCb4LZbH17RoCoagQAvD_BwE

5. Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities;Shin;J Am Med Inform Assoc Open.,2019

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3