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Nov
30

The Future of COVID-19 Epidemiology

Event Date as Display String:

Tuesday, December 8, 2020, 4:00pm - 5:15pm

URL:

https://www.radcliffe.harvard.edu/event/2020-future-covid-19-epidemiology-virtual?utm_source=rias_gazette&utm_medium=calendar&utm_campaign=epidemiology_outreach&utm_term=Gazette_Calendar_CovidandEpidemiology

Event Description:

Gazette Classification: Education,Health
Sciences,Lecture,Science,Social Sciences Organization/Sponsor:
Radcliffe Institute for Advanced Study Speaker(s): <strong>Marc
Lipsitch</strong><br /><em>Professor of epidemiology, Departments of
Epidemiology and of Immunology and Infectious Diseases, Harvard T.H.
Chan School of Public Health</em><br /><strong>Caroline
Buckee</strong><br /><em>Associate professor of epidemiology,
Department of Epidemiology, Harvard T.H. Chan School of Public
Health</em><br /><strong>M&uuml;ge &Ccedil;evik</strong><br
/><em>Clinical lecturer in infectious diseases and medical virology,
Infection and Global Health Division, School of Medicine, University
of St Andrews</em> Cost: Free Contact Info:
events@radcliffe.harvard.edu Harvard Key Required: No Link:
https://www.radcliffe.harvard.edu/event/2020-future-covid-19-epidemiology-virtual?utm_source=rias_gazette&utm_medium=calendar&utm_campaign=epidemiology_outreach&utm_term=Gazette_Calendar_CovidandEpidemiology
To what extent is our future with COVID-19 knowable? As new
information about the transmission, demographics, and treatment of
COVID-19 emerge, epidemiologists continue to address complex data and
generate new predictive models to better understand the dynamics of
the virus. Join leading epidemiologists for a panel discussion as they
assess the current and future state of the epidemic. Register online.

UID:

http://uid.trumba.com/event/149677051

Event Start Date as Date Type:

Tuesday, December 8, 2020 - 16:00 to 17:15

Thumbnail:

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Detail Image:

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Feature Image:

Featured:

No

https://www.harvard.edu/preview/featured/events/future-covid-19-epidemiology



6 comments:
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September 25, 2022 at 4:57 AM  

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the backrooms said...
March 27, 2023 at 6:56 PM  

The concerns you express make good sense. A professional in this field here to tell you all about it.

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Anonymous said...
May 16, 2023 at 11:45 AM  

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Amy B. Vaughan said...
December 12, 2024 at 8:34 PM  

The future of COVID-19 epidemiology hinges on advanced data analysis and AI modeling, much like strategizing in friday night funkin to outsmart opponents. By leveraging technology, we can better track variants and responses, ensuring public health remains a priority while keeping the rhythm of life vibrant.

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Joel E. Bargas said...
January 13, 2025 at 10:10 PM  

This could enhance our response strategies significantly. Additionally, engaging in easy-to-access online activities like the https://slopeunblockedd.github.io game can be a fun way to relieve stress while staying informed about health updates. Balancing mental well-being with awareness is crucial during these times!

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Anna Fairchild said...
February 7, 2025 at 1:23 AM  

As someone monitoring COVID-19 trends, I'd add that predictive modeling is becoming increasingly sophisticated. Similar to how poptropica games use adaptive algorithms, epidemiologists are now utilizing AI and big data to forecast outbreak patterns. The key challenge remains viral mutations, but new surveillance systems are helping us stay ahead.

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