JDushoff @jdushoff.bsky.social

@jd_mathbio@mstdn.science
109 Followers
42 Following
125 Posts
Using dynamical and statistical approaches to study the spread of infectious diseases, including rabies, HIV, influenza and COVID-19.

Thanks to the success of #STFUfriday, all suspects now reply “Am I free to go?" whenever Columbo asks if he can ask them one more question.

#ModernProblemsForOldTVCharacters
#HashTagGames

Imagine if Joe Biden, newly in office, had launched a company with Hunter Biden and used his social media to recruit financial backers.

Then promised the most generous among them would earn an invitation to a private dinner with him ... Trump just did that.
https://trib.al/9vmvtK8
Trump Just Did the Most Corrupt Thing Any President Has Ever Done

He’s using the White House to get rich from anonymous investors—and it’s hardly even a news story.

The New Republic
Getting excited about #MMED2025. We are unfortunately not able to accept open applications this year, but hope to resume that for next year. Materials online at www.ici3d.org/MMED/

Come learn about disease data in Cape Town! 17-29 Jun, applications due 10 April.

https://drive.google.com/file/d/1k_XLzAQLUI4lXA_IQ-1mnHGCzFJPTTbH/view

https://ici3d.org/mmed/apply

MMED_2024_RFA.pdf

Google Docs
Applications are now open for
#MMED2024: ICI3D's Clinic on Meaningful Modelling of Epidemiological Data. 17-29 June in South Africa, a 2‐week modelling clinic that emphasizes the use of data in understanding infectious disease dynamics. https://ici3d.org/mmed/apply
Jonathan Dushoff (@jdushoff.bsky.social)

We published a fun, math-y analysis of epidemic "burnout" in #PNAS recently. It's stuff I've been thinking about for decades, but #ToddParsons and #DavidJDEarn made it happen. Also with @bbolker.bsky.social. Inspired to some extent by #JulietPulliam. https://www.pnas.org/eprint/VGKAKXZ4BQFDAYPJYPES/full

Bluesky Social

New preprint with the alternative title "What I wish I had known about delay distribution estimation in January 2020"

https://samabbott.co.uk/posts/2024-01-15-estimating-epidemiological-delay-distributions-for-infectious-diseases/

Featuring Poppy the puppy as a guest contributor!

Great collab w/ @sangwoopark, Andrei Akhmetzhanov, Kelly Charniga, Anne Cori, Nick Davies, @jd_mathbio, @sbfnk, Katie Gostic, Brian Grenfell, @nlinton_epi, @mlipsitch, Adrian Lison, Chris Overton, and Thomas Ward

Sam Abbott: Estimating epidemiological delay distributions for infectious diseases

I summarise our research on refining delay distribution estimates in epidemic modeling, a journey prompted by my general confusion. We explore and compare various approaches, drawing insights from simulations and Ebola virus disease outbreak data, and suggest paths for future improvements. Also featuring Poppy, the puppy, who is currently gnawing on my hand and occasionally archiving my emails.

Sam Abbott

At tomorrows #epinowcast community seminar (3pm GMT) we have Rebecca Borchering speaking on "Informing short-term forecasts of categorical trends in confirmed influenza hospital admissions in the US using real-time effective reproduction number estimates"

More here: https://www.epinowcast.org/seminars/2023-12-06-rebecca-borchering/

See the community post for async questions and the recording: https://community.epinowcast.org/t/community-seminar-2023-12-06-rebecca-borchering-informing-short-term-forecasts-of-categorical-trends-in-confirmed-influenza-hospital-admissions-in-the-us-using-real-time-effective-reproduction-number-estimates/209

Epinowcast - Rebecca Borchering - Informing short term forecasts of categorical trends in confirmed influenza hospital admissions in the US using real-time effective reproduction number estimates

#git out

The breakthrough class of GLP-1 and G-Agonist Drugs are exceeding lofty expectations beyond weight loss. Why?

https://erictopol.substack.com/p/when-the-breakthrough-g-agonists

When the Breakthrough Obesity G-Agonist Drugs Exceed Expectations

The expanding GLP-1 family of drugs and their expanded potential use cases

Ground Truths