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Info session: CDC Prevention Effectiveness Fellowship – Analytics and Modeling Track

December 14, 2021
online

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DATES:
December 14, 2021
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online
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The MIDAS Coordination Center is hosting an information session on CDC’s Prevention Effectiveness (PE) Fellowship – Analytics and Modeling Track.  Dr. Adam Skelton and colleagues from the CDC will describe the objectives and characteristics of the fellowship, information on the inaugural year of the fellowship, and the application/selection process.  There will be time for Q&A.  Dr. Skelton will also briefly talk about CDC’s new National Center for Forecasting and Outbreak Analytics. 

 

Date: Tuesday December 14th, 2021
Time: 11:00am – 12:00pm EST

CDC Guest Speakers:
Dr. Adam Skelton
Dr. Patrick Clay
Dr. Carlo Davila Payan
Dr. Casey Zipfel

 

CDC Prevention Effectiveness (PE) Fellowship – Analytics and Modeling Track

The track aims to expand CDC’s capacity to employ modeling and other analytical approaches to grow our understanding of existing and emerging diseases, public health strategies, and response activities. This work helps ensure that science informs action to protect people from many health, safety, and security threats. Fellows use the skills learned in this track to assist multiple CDC centers, institutes, and offices (CIOs) on projects such as forecast development and evaluation, intervention assessment, and epidemiological characterization. 

The inaugural class of the Modeling Track began August 2021, with a total number of 21 fellows. The majority of the fellows are assigned to the Atlanta CDC campuses, with the exception of one in Washington, D.C. and another in San Juan, Puerto Rico. The inaugural class is composed of a substantial number of women (67%), ethnic minorities (52%), and non-U.S. citizens (29%).

 

Applications are due January 21, 2022.

https://www.cdc.gov/pef/analytics-and-modeling/index.html

 

 

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