G2TT
来源类型Project
规范类型研究项目
COVID -19 Services: Developing an Evidence-Informed Response to the COVID-19 Pandemic
Aparna Keshaviah; Alex Bohl; Sule Gerovich
开始日期2020
结束日期2020
资助机构Mathematica
语种英语
概述Mathematica is drawing on its diverse capabilities to offer a suite of services and solutions to minimize the threat of COVID-19 as we work together to re-open our communities, businesses, schools, and other institutions.",
摘要

Until a vaccine or effective antiviral treatment is available, managing the response to COVID-19 means moving beyond social distancing and testing in small numbers to include a variety of evidence-informed solutions that can help minimize the virus’s resurgence, reduce mortality rates, relieve overloaded health systems, safely re-open schools and businesses, facilitate economic recovery, and restore vibrant community connections.

As an overarching response to these needs, we released a Curated Data, Modeling, and Policy Resources page to help all of those in the fight against COVID-19 locate the most valuable and trusted data and policy resources in the massive amount of available information. In addition, our COVID-19 Data Primer helps researchers, data scientists, and others looking to uncover insights from health care data better understand, track, and contain COVID-19. These materials are free to access and continually updated by our experts.

Mathematica is also drawing on its diverse capabilities to offer a suite of services and solutions to minimize the threat of COVID-19 as we work together to re-open our communities, businesses, schools, and other institutions. Together, these services and solutions are designed to:

  • Response: Monitor the pandemic and offer early outbreak detection.
  • Recovery: Prevent the spread of the virus and guide those at risk of infection.
  • Resiliency: Inform responsible re-opening practices for communities and employers.

Contact us to progress together against COVID-19.

URLhttps://www.mathematica.org/our-publications-and-findings/projects/covid-19-services
来源智库Mathematica Policy Research (United States)
资源类型智库项目
条目标识符http://119.78.100.153/handle/2XGU8XDN/491208
推荐引用方式
GB/T 7714
Aparna Keshaviah,Alex Bohl,Sule Gerovich. COVID -19 Services: Developing an Evidence-Informed Response to the COVID-19 Pandemic. 2020.
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