Casey Middleton, PhD

@caseymiddleton.bsky.social

Infectious disease modeling Views are my own

I'm excited to share a preprint that's been years in the making: the idea took shape during the COVID pandemic. Anecdotally, people would sometimes spread COVID at work but not at home, and vice versa. Why? One explanation would be if infectiousness is fleeting...

How bursty infectiousness shapes epidemic dynamics

An epidemic’s expected course is determined by the magnitude and timing of a typical person’s infectiousness — captured, in turn, by the basic reproduction number and the generation-time distribution....

medrxiv.org

If you’re watching Fauci’s testimony remember that science isn’t an ideology. It doesn’t lie. It evolves. COVID-19 was a once-in-a-century pandemic caused by a brand-new virus, recommendations changed because the evidence changed. That’s not deception. That’s how it works.

Throughout your scientific career, you will read hundreds of dense manuscripts. 📚 As the literature stack piles up, remembering exactly where you saw a specific methodology or finding can be tough. Here is how I use a relational database to keep track of it all (and et al.). 👇

1. A bit of evolutionary biology. I'm really intrigued by a new perspective piece from Steve Frank that explores connections between how natural selection creates systems that generalize and recent work in machine learning about the surprising capabilities of massively overparameterized systems.

Generalization as the great leap in evolvability: insights from machine learning

Abstract. Natural selection encodes learned information in the genome. Learned solutions may be tuned specifically to past challenges, failing in altered e

academic.oup.com

🚨 Disease modelers: Do you use empirical VE estimates interchangeably to inform vaccine effect parameters? Me too, and it’s distorting our predictions. VE estimates often do not align with model parameters. We discuss these pitfalls & solutions in our new preprint: arxiv.org/abs/2605.18571 🧵👇

Incorporating vaccine effects into epidemiological models: common pitfalls and solutions

Incorporating vaccination into mathematical models appears deceptively simple: models integrate vaccine-derived protections, such as reduced susceptibility to infection, using parameters informed by e...

arxiv.org

For years, Jay Bhattacharya has been upset at the MMWR for publishing findings that run contrary to his predetermined conclusions (e.g., on immunity after covid vaccination) and his political agenda. Now he's in a position to prevent those findings from being published.

Tweet from Jay Bhattacharya in February 2022: I've long respected the CDC's MMWR as a source for important epidemiological facts. I am sad to see that the CDC has used the journal to publish articles to support its predetermined conclusions (e.g. on immunity after covid recovery), rather uphold its pre-covid high standards
The Washington Post@washingtonpost.com · 4mo ago

Exclusive: The acting director of the CDC has delayed publication of a report showing the covid-19 vaccine cut the likelihood of ER visits and hospitalizations for healthy adults last winter by about half, according to two scientists.

"This is not reversing the damage. It is spending more than we spent on WHO to create an institution that’s unlikely to survive and will certainly accomplish only a fraction of what we did by working together with the entire world.” - Atul Gawande, @agawande.bsky.social 🎁 wapo.st/4tKRwyM

After leaving WHO, Trump officials propose more expensive replacement to duplicate it

HHS proposes spending $2 billion a year to re-create systems the U.S. accessed through the WHO at a fraction of the cost, according to officials briefed on the matter.

wapo.st

Models can be powerful tools to study associations in data. But do they reliably reveal the truth? 🚨 In our new study, @danlarremore.bsky.social and I show that the model used to estimate VE from test-negative designs (TNDs) may not translate to other correlates of risk. doi.org/10.1093/aje/...

Statistical methods for estimating the protective effects of immune markers using test-negative designs

Abstract. While widely used to study vaccine effectiveness, test-negative designs (TNDs) also provide a platform for identifying and quantifying immunologi

doi.org

6/ This is not a debate. That data is crystal clear. Since the 1996 Port Arthur massacre, Australia’s buyback program and strict licensing have kept mass shootings to ~0–1 per year. The U.S. has about 400–650 mass shootings annually and over 46,000 gun deaths each year. It’s not even close.

Bild

The MIDAS Trainee Executive Committee is recruiting new members for 2026! 🤓 This is a great opportunity for grad students & postdocs in infectious disease modeling to gain experience organizing events & connect with peers. Applications are due by 9am ET on 1/1/2026, link in flyer & alt text.

Advertisement to apply to join the MIDAS Trainee Executive Committee for 2026. Recruiting grad students or post docs doing infectious disease modeling research that are motivated to strengthen the trainee community. Responsibilities of committee members include organizing trainee events, representing trainee perspectives to the broader MIDAS network, and fostering trainee connections.

Applications are due by 9am ET Jan 1, 2026 at: https://forms.gle/16ZuG5oTBFwpnR4W8