Predictive Analytics-Lesson(s) Learned from COVID-19 and SARS-CoV-2

Informed public health decision-making, as it relates to a pandemic, requires the collection, curation, and rapid integration of accurate and relevant data. This capability is crucial in developing predictive models to forecast essential data such as the number of newly reported COVID infections and deaths per week, which can be reported in the forecast plots or trends in numbers of future reported infections and deaths.


Join the ATARC Predictive Working Group Webinar to hear the lessons learned from the COVID-19 pandemic on how to address current challenges from the effects of the pandemics on public health, economy, return to work as well as how to more efficiently leverage predictive analytics models to better prepare and address the challenges ahead.

Speaker and Presenter Information


Moderator: Malio West

CEO, Global Accounting


Chakib Chraibi

Chief Data Scientist, NTIS

Relevant Government Agencies

Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, Census Bureau, USAID, National Guard Association, EEOC, Federal Government, State & Local Government, FDA, Foreign Governments/Agencies, NSA, FCC

Event Type

This event has no exhibitor/sponsor opportunities

Wed, Jul 28, 2021, 1:30pm - 2:30pm ET

Complimentary:    $ 0.00

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