Tessera
Folgen

Chris Banks

@banks.ac

💻 Computer Scientist, 📈 Computational/Mathematical Modeller, 🦠 Infectious Disease Modeller,🔬Research Fellow / Core Scientist, 🐑 Roslin Institute, 🏰 University of Edinburgh, 🌄 Mountaineer, 🚲 Cyclist, 🤓 Geek. 🔗 https://banks.ac/

17 Posts821 Follower1197 Folgt
Dr Roz Eggo@rozeggo.bsky.social · 7mo ago

Launch of the Global Society of Infectious Disease Dynamics. 🎉 2 online webinars on Thursday 26th. Do join to see what it's all about, and get involved in the community as it kicks off! www.gsidd.org/post/join-us...

Join us for the launch event!

We are excited to invite you to the official launch of the Global Society for Infectious Disease Dynamics (GSIDD) on February 26th, 2026.This launch marks an important milestone for our global communi...

gsidd.org

Rowland Kao@rowlandkao.bsky.social · 11mo ago

As one of the "we" very pleased to be part of this initiative. Thanks to @helcecilia.bsky.social @paulineezanno.bsky.social and @gaelbn.bsky.social for taking the lead on this one.

Hélène Cecilia, PhD@helcecilia.bsky.social · 11mo ago

I'm not very active here but I figured this would probably (hopefully?) interest some of you : We recently launched an international consortium of modelers in animal health, called ModAH Hub www.modah-hub.com 🦠💻🐄🐖🐓🦟

@iddconf.bsky.social · last yr.

Jon Read kicking things off at IDDconf 2025 telling us neat things about contact patterns in England during the COVID pandemic.

Bild
@iddconf.bsky.social · last yr.

Fab day at IDDconf 2025 We’ve seen a lot of great talks and just before the poster session and reception, Martin Wolfender from @unibe.ch is telling us about forecasting hospital bed use.

Bild
NetScience@netscience.bsky.social · last yr.

Estimated transmission dynamics of SARS-CoV-2 variants from wastewater are unbiased and robust to differential shedding www.nature.com/articles/s41...

Estimated transmission dynamics of SARS-CoV-2 variants from wastewater are unbiased and robust to differential shedding - Nature Communications

Epidemiological estimates from wastewater are not biased by testing rates but may be subject to other biases. Here, the authors investigate the impact of variable virus shedding profiles for different...

nature.com

Edinburgh Infectious Diseases@uoe-eid.bsky.social · last yr.

New review shows the need to focus on antibiotic resistance in the environment 🌏🔬 Antibiotic resistance in the environment is not well studied, which may have consequences for human health, according to research. edinburgh-infectious-diseases.ed.ac.uk/news/latest-...

New review shows the need to focus on antibiotic resistance in the environment | Edinburgh Infectious Diseases | Edinburgh Infectious Diseases

August 2025: A recent review has found that research into AMR in the environment needs to extend beyond wealhty countries and freshwater settings.

edinburgh-infectious-diseases.ed.ac.uk

Prof Sheena Cruickshank@sheencr.bsky.social · last yr.

Really welcome news as a farmer led program working with scientists to vaccinate badgers for TB rather than cull is to start. There is little evidence that culling reduces TB in cows but vaccine trials reduce TB in badgers from 16 down to 0% in prior trial

Farmers and scientists join forces in Cornwall to vaccinate badgers against TB

The groups have long been at odds over culling of badgers in England as a way to control TB in cattle

theguardian.com

NetScience@netscience.bsky.social · 2y ago

Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations arxiv.org/abs/2307.13798

Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations

Accurate estimates of the reproduction ratio are crucial to project infectious disease epidemic evolution and guide public health response. Here, we prove that estimates of the reproduction ratio base...

arxiv.org

NetScience@netscience.bsky.social · 2y ago

Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios journals.plos.org/ploscompbiol...

Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios

Author summary As human contacts and contact networks are key to the development and prediction of infectious disease spread, travel and commuting activities are important components to be considered ...

journals.plos.org

Dr Edward Hill@edmhill.bsky.social · 2y ago

📣 #fundedPhD in "Modelling salivo-surveillance for detecting population immunity, transmission dynamics & changes in vaccine effectiveness" #IDsky #EpiSky #PhDSky 🧪 👥 Supervised by @3113n.bsky.social + colleagues at Uni. of Bristol & UKHSA 🗓️ Closes 27 Jan 2025. Interviews Mar 2025. Start Sep 2025.

About the Project. Vaccination is a highly effective public health intervention that prevents morbidity and mortality. The UK vaccination programme evolves in response to vaccine developments and emerging evidence. This may include the addition of new vaccines, or removal of old vaccines or booster doses. Following a modification to the vaccine schedule, there is a delay before the impact on key indicators such as diagnosed cases, hospital admissions and deaths is observed. This delay hampers the responsiveness of public health action. We are developing saliva-based tests that will facilitate rapid, repeated sampling to measure both carriage of respiratory pathogens and mucosal immunocorrelates, and thus detect changes in population immunity before disease cases present. The aim of these tests is to develop a surveillance programme that will provide an early warning system for lapses in population-level protection and allow for adaptive management of the UK vaccine schedule.Project aims: The aim of this PhD is to use data analytics, data linkage and mathematical models to inform the use and necessary test characteristics of saliva-based tests for vaccination evaluation. The aims of the project are to: - Develop transmission models for vaccine-preventable respiratory pathogens (Streptococcus pneumoniae and Respiratory Syncytial Virus) and emerging threats (Group A Streptococcus) in the UK. - Identify opportunities for early identification of changes in population immunity that would provide a rapid assessment of vaccine effectiveness and coverage. - Explore the trade-offs involved in detecting population protection. Methods: This PhD will use data analysis, statistical and mathematical modelling to inform the use of a rapid and scalable test to measure changes in vaccine coverage and population protection. The methods will involve data analysis, visualisation and code development using software such as R, describing immunological process of transmission mathematically, reviewing and interpreting the literature and working with and maintaining an inter-disciplinary network of collaborators. In year 1, you will work with immunologists to use immunological data to develop data-driven mathematical models of the dynamics of transmission, carriage and infection for respiratory infectious diseases. In year 2, you will design models that link vaccination, disease transmission, carriage and healthcare usage. In year 3, you will explore the impact of changes to the vaccine schedule on population immunity and subsequently invasive disease and determine the necessary test uptake and characteristics needed to provide an early indication of changes to population immunity. There will be scope for the successful candidate to shape the research.Supervisors: Professor Ellen Brooks-Pollock, Dr Anu Goenka, Dr Mary Ramsay (UKHSA) & Dr Bassam Hallis (UKHSA). Advisory team: Dr Rajeka Lazarus, Dr Clare French, Dr Amy Thomas, Dr Leon Danon, Dr Alice Halliday. Candidate requirements: This is a unique opportunity for a quantitative scientist to join a multi-disciplinary team and work closely with clinicians, lab scientists and policymakers. Applications are sought from high performing individuals who have, or are expected to obtain, at least a 2.1 degree (or equivalent) in a quantitative subject (e.g. maths, statistics, physics, computer science, biological sciences) together with an interest in public health and multi-disciplinary research. Possession of a relevant Master's degree or research experience would be advantageous but is not required. We welcome applications from those with non-standard qualifications who can demonstrate knowledge, experience and skills developed in the workplace, or elsewhere, relevant to the programme of study.How to apply: When applying, candidates must search for and select the ‘Population Health Sciences PhD’ programme and enter supervisor names as listed under the project title for which they are applying. Please state Health Protection Research Unit in Evaluation and Behavioural Science in the funding box. Full details on what to include in your application can be found in the Admissions Statement. Personal statement: Please provide a personal statement that describes your training and experience so far, your motivation for doing a PhD, your motivations for applying to the University of Bristol, and why you think we should select you. We are keen to support applicants from minority and under-represented backgrounds (based on protected characteristics) and those who have experienced other challenges or disadvantages. We encourage you to use your personal statement to ensure we can take these factors into account. Funding Notes: The studentship is fully funded by Health Protection Research Unit in Evaluation and Behavioural Science (HPRU-EBS) for three years. The funding covers tuition fees for home students and a stipend at the UKRI rate (£19,237 in 2024/2025). Overseas students are very welcome to apply, please include in your application if you are able pay the difference between the home and overseas fees. If you are unable to cover these costs, we can look into other options to cover these. Deadline: Applications for this project will close at 16:00 GMT on Monday 27th January 2025. Interviews will be in March 2025 . The anticipated start date is September 2025. Contact: If you have questions about the project, please contact the supervisors. If you need help with your application, contact admissions at fohs-pgadmissions@bristol.ac.uk.
Ellen Brooks Pollock@3113n.bsky.social · 2y ago

We are advertising an exciting PhD position with a super team: Modelling salivo-surveillance for vaccine programmes. Happy to answer questions. With @anu_goenka @leondanon.bsky.social @rajlaz.bsky.social www.findaphd.com/phds/project...

Dr Roz Eggo@rozeggo.bsky.social · 2y ago

Finishing 2024 on a high note: delighted to be appointed Professor at LSHTM. Thanks to many many people for support & advice along the way. 🙏 Looking forward to more exciting research, collaborations with amazing scientists, work with my fantastic team & PPIE colleagues. Exciting times ahead! 🎉

Picture of the London School of Hygiene & Tropical Medicine with Logo on top.
Edinburgh Infectious Diseases@uoe-eid.bsky.social · 2y ago

⭐MONTHLY RESEARCH FOCUS⭐ Every month we highlight new publications from across the network. This month we are delving into cleaning practices of livestock vehicles, behaviours of fruit flies and lots of new COVID-19 discoveries Full article⤵️ edinburgh-infectious-diseases.ed.ac.uk/news-and-eve...

Research Focus: From the cleaning practices of livestock transport vehicles to behaviour in fruit flies

December 2024: A collection of publication highlights from Edinburgh Infectious Diseases over the past month.

edinburgh-infectious-diseases.ed.ac.uk