Cam Zachreson
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camzachreson.bsky.social
Cam Zachreson
@camzachreson.bsky.social
Researcher in infectious disease modelling
Reposted by Cam Zachreson
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?...
A Microsimulation Model of Behaviour Change Calibrated to Reversal Learning Data
YouTube video by Jasss Journal
youtu.be
August 22, 2025 at 11:34 AM
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?
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.
theconversation.com
August 12, 2025 at 11:25 PM
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
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…
www.sciencedirect.com
July 2, 2025 at 5:41 AM
Reposted by Cam Zachreson
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👇
<i>Behavioural Epidemiology</i>
Explore the article collection: Behavioural Epidemiology. Published in Mathematics in Medical and Life Sciences.
www.tandfonline.com
May 28, 2025 at 7:21 PM
Reposted by Cam Zachreson
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
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...
arxiv.org
April 8, 2025 at 7:45 AM
Reposted by Cam Zachreson
Huge effort to map all the stakeholders of avian influenza surveillance in Canada. Potentially useful template for other countries.
👉 onehealthoutlook.biomedcentral.com/articles/10....
April 8, 2025 at 4:49 AM
Reposted by Cam Zachreson
Reposted by Cam Zachreson
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-...
wellcomeopenresearch.org
March 5, 2025 at 4:55 PM
Reposted by Cam Zachreson
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
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...
arxiv.org
April 4, 2025 at 3:18 PM
Reposted by Cam Zachreson
❓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👇
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 ...
doi.org
April 2, 2025 at 11:03 PM
Reposted by Cam Zachreson
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...
March 25, 2025 at 9:03 AM
Reposted by Cam Zachreson
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
February 28, 2025 at 9:59 PM
Reposted by Cam Zachreson
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 🤓
https://doi.org/10.48550/arXiv.2502.00071
t.co
February 6, 2025 at 5:57 PM
Reposted by Cam Zachreson
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/...
January 30, 2025 at 10:36 AM
Reposted by Cam Zachreson
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...
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...
doi.org
January 21, 2025 at 2:52 AM
Reposted by Cam Zachreson
Interesting series of articles here on integrating human behavior into models of infectious disease dynamics
November 29, 2024 at 9:13 PM