This is actually fairly normal for measles, with countries often coming in and out of elimination status (figure from the paper showing those dynamics). It's important now to redouble vaccination efforts to get elimination status back on track!
06.11.2025 15:32 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Canada Is About to Lose Its Status as Having Eliminated Measles
In the NYT today, a discussion of how Canada will lose their measles elimination status. www.nytimes.com/2025/11/06/w...
This was predictable and preventable, something Amy Winter and I discussed in our disease watch piece 4 months ago: www.nature.com/articles/s41...
06.11.2025 15:32 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
Multi-model approach to understand and predict past and future dengue epidemic dynamics
royalsocietypublishing.org/doi/10.1098/...
Brilliant work by @cathalmills.bsky.social + many others
05.11.2025 14:28 โ ๐ 12 ๐ 7 ๐ฌ 0 ๐ 1
Check out our new paper @nejm.org. RSV, COVID-19 & Influenza vaccines continue to show consistent effectiveness & safety based on a review & synthesis of 500+ research studies๐! We worked hard to evaluate the evidence so you can be confident about getting vaccinated this fall!
31.10.2025 14:54 โ ๐ 10 ๐ 7 ๐ฌ 0 ๐ 0
The Fox Lab
Statistical and computational epidemiology
Took some time to update the lab website with a couple new posts and lab news! Check it out to hear about some lab changes and recent fun things we've been up to! thefoxlab.wordpress.com
29.10.2025 20:27 โ ๐ 4 ๐ 0 ๐ฌ 0 ๐ 0
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
Just published! Our new work on a method to add epi info to any forecast model. We showed that it improved the performance of all forecast models we tested including ensembles. Now we hope to deploy it in real-time to see how well it works: www.pnas.org/doi/10.1073/...
27.10.2025 17:58 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
A New Tool for Healthcare Gives Better Outbreak Forecasts
Pinpointing an outbreakโs peak, the approach can boost health systemsโ preparedness and risk communication.
A new approach called โepimodulationโ โ developed by UT Austin researchers & collaborators โ predicts epidemic peaks better than current models and could boost health care preparations in future outbreaks.
#Epidemiology #PublicHealth @texas-ib.bsky.social
cns.utexas.edu/news/researc...
27.10.2025 15:03 โ ๐ 2 ๐ 2 ๐ฌ 0 ๐ 0
John talks about the route of exposure with ingestion leading to high viral counts, and an inverse of this has been the possible low viral load when people have gotten eye-based infections. I think that could also contribute to the lower mortality seen in the US
14.10.2025 21:02 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Understanding avian influenza mortality
Three theories could explain why the North American H5N1 epidemic has not been more deadly
Why has H5N1 not been as deadly as we were expecting so far? Really liked this summary of the evidence and possible explanations by @jdrakephd.bsky.social
www.science.org/doi/10.1126/...
14.10.2025 21:02 โ ๐ 2 ๐ 1 ๐ฌ 1 ๐ 0
Today my @nytimes.com colleagues and I are launching a new series called Lost Science. We interview US scientists who can no longer discover something new about our world, thanks to this yearโs cuts. Here is my first interview with a scientist who studied bees and fires. Gift link: nyti.ms/3IWXbiE
08.10.2025 23:29 โ ๐ 4740 ๐ 1838 ๐ฌ 142 ๐ 83
Modeling the Health Impact of Discontinuing COVID-19 Vaccination During Pregnancy in the US
This decision analytical model study estimates the number of avertable COVID-19 hospitalizations in US infants younger than 6 months and pregnant persons with vaccinations during pregnancy.
What is the impact of the HHS decision to no longer recommend COVID-19 vaccination during pregnancy? In our new research letter in @jamapediatrics.com, we provide estimates on the number of infant hospitalizations under different vaccine scenarios here. @mathewkiang.com, @peterhotezmdphd.bsky.social
29.09.2025 23:30 โ ๐ 12 ๐ 6 ๐ฌ 2 ๐ 0
Texas Dashboard
An example from our now-defunct COVID-19 forecast dashboard: covid-19.tacc.utexas.edu/dashboards/t...
25.09.2025 23:51 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
How to Read Spaghetti Models During Hurricane Season | Weather.com
Understanding this delicious-sounding term will help you this hurricane season.
Was excited to see an explanation for spaghetti models for hurricane forecasts. We use these for infectious disease forecasting too! weather.com/science/weat...
25.09.2025 23:51 โ ๐ 14 ๐ 3 ๐ฌ 1 ๐ 0
No university will pay $100k for an H-1B visa. These visas are primarily used for postdocs, and nobody can justify paying an extra $100k for that type of position. That's an entire additional year of postdoc funding. 1/2
25.09.2025 23:15 โ ๐ 34 ๐ 9 ๐ฌ 4 ๐ 0
The Legionnaire's Disease cluster in Central Harlem has now grown to 58 cases. 21 hospitalized.
Tragically there has been a 2nd death.
If you live or work in zip codes 10027, 10030, 10035, 10037 or 10039 and you develop flu-like symptoms, contact a health care provider immediately.
05.08.2025 01:49 โ ๐ 129 ๐ 99 ๐ฌ 2 ๐ 9
From Senator @murray.senate.gov: the Senate's proposed NIH budget would reject 40% cuts, increase funding by $400M.
"We're not going to give up the fight against cancer, Alzheimer's or rare diseases."
Message to scientists: "we support you. We need you to stay here & keep this research going."
31.07.2025 13:52 โ ๐ 37 ๐ 16 ๐ฌ 1 ๐ 0
1 dead, multiple people sickened in Legionnaires' disease cluster in New York City
New York City officials said they are investigating a cluster of Legionnaires' disease that has caused one death and nearly two dozen illnesses.
โThe Legionnaires' disease cluster is in Central Harlem. According to NYC Health, the following zip codes are affected:
10027
10030
10035
10037
10039
People who live or work around these ZIP codes and develop flu-like symptoms should see a health care provider right away, the agency said.โ
31.07.2025 15:46 โ ๐ 79 ๐ 56 ๐ฌ 3 ๐ 3
Wow! Iโm actually surprised we havenโt seen more of this unfortunatelyโฆ hoping federal funding stabilizes soon ๐ค
30.07.2025 22:37 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
I will be part of the School of Informatics, Computing, and Cyber Systems (SICCS) and the center for Community Health and Engaged Research (CHER) there and will soon post announcements for postdoc and graduate student positions. Feel free to reach out to me beforehand if youโre interested!
30.07.2025 21:35 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
I announced it at SISMID so now to make it official. In August the Fox lab will be moving to NAU in Flagstaff AZ. I am so sad to leave all my wonderful UGA colleagues, but am excited to settle permanently in the Southwest near these mountains and the desert.
30.07.2025 21:35 โ ๐ 5 ๐ 0 ๐ฌ 1 ๐ 0
Thank you to the authors for such a nice contribution to the field and giving me an easy thing to cite when these issues crop up ๐ ๐ ๐
30.07.2025 15:00 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
I think it has large implications for seasonal diseases like flu, covid, and RSV. Since initial susceptibility is so hard to pin down and reporting rates change every season, it means we need auxiliary data sets (e.g. serological data) at the beginning of the season to make predictions.
30.07.2025 14:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
To get around this problem in practice we typically assume that everyone in the population is susceptible or fix the reporting rate at some reasonable value, but this paper is a reminder that those decisions wholly determine the parameters we estimate, so we need to be very careful
30.07.2025 14:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
Identifiability in epidemic models with prior immunity and under-reporting
Identifiability is the property in mathematical modelling that determines if model parameters can be uniquely estimated from data. For infectious disease models, failure to ensure identifiability can ...
Been thinking about this preprint a lot the past couple of weeks: arxiv.org/abs/2506.07825
It says that for an outbreak you cannot estimate a transmission rate, initial susceptibility pool, and reporting rate together. This makes sense intuitively but itโs nice to have the proof
30.07.2025 14:59 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
This will be Qianying and my second time teaching the course and we have a bunch of updated and new material for everyone
22.07.2025 20:55 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
This is so cool to play with!
01.07.2025 15:24 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
Great way to stay in touch with all of the amazing infectious disease modeling work happening these days:
01.07.2025 15:23 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Pediatric infectious disease doc | global health researcher | modelling disease burden and intervention coverage from local to global scales | #vaccines, #VPDs, #NTDs, #malaria, #anemia, #hemoglobinopathies, #geospatial analysis | he/him | opinions my own
Infectious disease modeller. Lecturer in stats at University of Bristol.
Assistant Professor NUS. Infectious diseases, virus evolution, AI for Public Good, Human Behaviour and Bayesian Inference
Fritz Family Postdoctoral fellow in Epidemiology at Georgetown University | infectious disease modeling.
My website: https://giuliapullano.weebly.com/
Lecturer and Eric and Wendy Schmidt AI in Science Fellow @mrc-outbreak.bsky.social @ Imperial College London. Mathematical modelling of malaria, COVID-19 & humanitarian response.
Phylo, dynamics, epidemiology, data sci, computational biology
University of Auckland
PhD candidate at Wageningen University and Research | Viral modeler ๐ฆ ๐ฅ๏ธ | Interested in anticipating future outbreaks of infectious diseases ๐ฎ
Associate Professor at University of Washington, Seattle.
Demographer who studies Pop Health, Pop Environment, and Infectious disease dynamics. Data Visualization Enthusiast. ๐ญ๐น
Infectious disease modeller
Main interest in aborvirures
Public Health Analytics and Modeling fellow at CDC
Working at the dengue branch, San Juan, Puerto Rico
The network based at the University of Edinburgh for infectious disease researchers.
https://edinburgh-infectious-diseases.ed.ac.uk/
Infectious disease modeler. Interested in: social drivers of infectious disease, evolution of abx resistance, math models. He/him.
Postdoc @Cambridge_Uni doing infectious disease modelling | Interested in arboviral dynamics, immunity, climate & forecasting | Previously @LSHTM
PhD student @ CMMID LSHTM | Field Epidemiologist FETP/EPIET c2016 | mathematical modelling, vaccines, electronic health records, outbreaks
Infectious disease modeller (MD PhD). Asst Prof at Saw Swee Hock School of Public Health, National University of Singapore / School of Tropical Medicine and Global Health, Nagasaki University
Twitter: @_akiraendo
Epidemiology, biophysics, data science & modelling. Working at Mahidol University, Thailand. Views are my own.
More info: https://www.modchang.me
PhD student in infectious disease epidemiology - Max Planck Institute for Infection Biology & Charitรฉ Berlin. Interested in vaccine-preventable diseases and mathematical modeling.
A research group at @mpiib.bsky.social, led by Matthieu Domenech de Cellรจs, focused on vaccines, interactions, and the seasonality of infectious diseases.
Website: https://www.mpiib-berlin.mpg.de/1953092/Infectious-Disease-Epidemiology
Disease Ecologist, Infectious Disease Modeler, public health, Research Assistant Professor, Clemson University | Former CDC fellow
#episky
#IDSky
Medical student, working on mathematical modelling of infectious diseases, epidemiology. Julia & R user
Website: https://hiroaki-murayama.github.io