Cam Zachreson

YouTube video by Jasss Journal A Microsimulation Model of Behaviour Change Calibrated to Reversal Learning Data

What if predicting #behaviorchange was simpler than we thought? Hugo Lyons Keenan, Roben Delos Reyes &
@camzachreson.bsky.social show how just two data-driven parameters in a #microsimulation reveal real #learning and persistence patterns.

youtu.be/71nq_Hg-Ff8?...

Seems to me the problem is that homes are considered 'investments' at all - a concept the authors completely buy into, to the extent that they apply it to home you live in. Doesn't seem very progressive to me.

The government has asked for bold proposals. Maybe it’s time to consider taxing the family home When it comes to improving the fairness of the tax system, this is no time to be squeamish.

This article got featured in the ABC today - but something's fishy about it theconversation.com/the-governme..., isn't this a levelling-down argument? Rent is too much, so let's equalise by making home ownership pricier? Improving inequality by increasing the cost of living?

Modelling the joint effects of single occupancy and N95 respirators on COVID-19 outbreaks in hospital wards Outbreaks of respiratory pathogens on hospital wards present a major challenge for control of hospital-acquired infections. Structural controls such a…

Thanks @thejhi.bsky.social for a thorough and efficient peer-review process and pre-proof pub of our article about how N95s and single-occupancy work together to prevent nosocomial COVID in hospitals www.sciencedirect.com/science/arti... coauthors: @robynschofield3.bsky.social @nicgeard.bsky.social

<i>Behavioural Epidemiology</i> Explore the article collection: Behavioural Epidemiology. Published in Mathematics in Medical and Life Sciences.

1/ I have been a Guest Editor for @mmls-journal.bsky.social Special Issue on Behavioural Epidemiology & it now has a dedicated article collection webpage! #EpiSky #IDSky 🧪

🧵 on the 4️⃣ articles published so far.

📄 Further Special Issue contributions will be added to the article collection webpage👇

Looks great. So much effort has gone into this! The demographic stratification will open up new opportunities to examine disparity mechanisms.

Epicast 2.0: A large-scale, demographically detailed, agent-based model for simulating respiratory pathogen spread in the United States The recent history of respiratory pathogen epidemics, including those caused by influenza and SARS-CoV-2, has highlighted the urgent need for advanced modeling approaches that can accurately capture h...

Epicast 2.0: A large-scale, demographically detailed, agent-based model for simulating respiratory pathogen spread in the United States arxiv.org/abs/2504.03604

Huge effort to map all the stakeholders of avian influenza surveillance in Canada. Potentially useful template for other countries.
👉 onehealthoutlook.biomedcentral.com/articles/10....

Sociodemographic biases in medical decision making by large language models - Nature Medicine A panel of nine LLMs was exposed to simulated clinical cases with switched sociodemographic features exploring ethnic, social, sexual orientation and gender dimensions and showed differences in recomm...

Sociodemographic biases in medical decision making by large language models www.nature.com/articles/s41...

Finally, we have a published version of the paper describing the ontology for capturing information about recipients of interventions. It's out for peer review but open to comments from all interested parties so do have a look and stress test it! wellcomeopenresearch.org/articles/10-...

A Behaviour and Disease Model of Testing and Isolation There has been interest in the interactions between infectious disease dynamics and behaviour for most of the history of mathematical epidemiology. This has included consideration of which mathematica...

New Preprint! There has been a lot of work on models coupling behaviour with disease dynamics, typically (and understandably) agnostic about the exact behaviour. Here we consider specifically testing and isolation, providing mathematical and numerical analyses.

arxiv.org/abs/2504.02488

Optimising Vaccination Outreach Through Epidemiological-Behavioural Modelling and AI Vaccine hesitancy is a complex, time-varying problem leading to suboptimal vaccination coverage for individuals, groups and populations. In turn, this has serious consequences for individuals and popu...

Great PhD opportunity with @edmhill.bsky.social @profbuchan.bsky.social and others, please circulate to anyone interested!

www.liverpool.ac.uk/study/postgr...

Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences During infectious disease outbreaks, the time-dependent reproduction number (Rt) can be estimated to monitor pathogen transmission. In previous work, we developed a simulation-based method for estimating Rt from temporally aggregated disease incidence ...

❓Need a method for estimating the time-dependent reproduction number from temporally aggregated & under-reported disease incidence time series data? #IDSky #EpiSky 🧪

✍️: See research paper by Zak Ogi-Gittins & collaborators

📄 Recently published in Philosophical Transactions of the Royal Society A👇

interesting! It seems like this is a growing area. How did you get socioeconomic data for contacts?

We have a new pre-print out, extending traditional age-stratified contact matrices using Swiss data, w/ Martina Reichmuth and @calthaus.bsky.social

"Individual-based and neighbourhood-based socio-economic factors relevant for contact behaviour and epidemic control" www.medrxiv.org/content/10.1...

PhD position (Melbourne, Australia)
Developing an integrated modelling and health economics approach to understand Strep A transmission and control.
with Rebecca Chisholm, Angela Devine
at La Trobe University
More details: http://iddjobs.org/jobs/2281

A huge thank you to Nefel Tellioglu, Jessica Stockdale, Julie Spencer, Wasiur Rahman Khuda Bukhsh, @joelcmiller.bsky.social and Cameron Zachreson for including me on this @matrix-inst.bsky.social project we just preprinted results from

t.co/9ioaiNWMQa 🤓

I am happy to see that this paper written in collaboration with an amazing team of Australian modelers (@praty1931.bsky.social @camzachreson.bsky.social and others) is finally out in Royal Society Open Science!

royalsocietypublishing.org/doi/10.1098/...

Socioeconomic correlates of urban mobility trends in two Australian cities during transitional periods of the COVID-19 pandemic | Royal Society Open Science During the COVID-19 pandemic, both government-mandated lockdowns and discretionary changes in behaviour combined to produce dramatic and abrupt changes to human mobility patterns. To understand the so...

If you think about how people reacted to lockdowns & omicron wave in Australia, then we have a piping hot piece of research for you, that breaks it down by socioeconomic status: doi.org/10.1098/rsos...

I would like to be added if there's space

the one about previous exposure to H1N1 seems plausible, what do you reckon?

haha, thanks Michele, it was your post that got me here

Interesting series of articles here on integrating human behavior into models of infectious disease dynamics