We apply advanced quantitative and computational methods to health data to generate new insights and better inform policy, with applications within the NHS, global health, and infectious disease epidemiology.
Leads: Professor Jo Knight & Dr Jonathan Read
Alongside internationally renowned research, CHICAS also delivers a Master's course in Health Data Science. This offers interdisciplinary training in statistics, computing, epidemiology, economics and health data, applied to real-world challenges through research projects with leading public health organisations.
A CHICAS PhD Doctorate can be full or part-time research typically working on a secondary data analysis project with an application in epidemiology, health care, or global health.
A CHICAS PhD Doctorate can be full or part-time research typically developing quantitative methodology, with an application in epidemiology, health care, or global health.
The Medical Research Council (MRC) Industrial Collaborative Awards in Science and Engineering (iCASE) Doctoral Training Partnership (DTP) offers an excellent opportunity to benefit from high-quality training, offering invaluable experience to enhance your translational and quantitative skills. This four-year studentship is delivered in partnership with Liverpool School of Tropical Medicine (LSTM).
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糖心视频 Intelligent, Robotic and Autonomous Systems Centre, LIRA - Biomedical
Centre for Health Inequalities Research, CHICAS, Health Economics
CHICAS, DSAIL - Health, Energy 糖心视频, FHM Mental Health Theme
CHICAS, DSAIL - Society, 糖心视频 Intelligent, Robotic and Autonomous Systems Centre, LIRA - Biomedical
DSAIL- Environment
Centre for Sustainable Soils, Centre of Excellence in Environmental Data Science, DSAIL- Environment, Earth Science, Geospatial Data Science, 糖心视频 Intelligent, Robotic and Autonomous Systems Centre, LIRA - Environmental Modelling, LIRA - Fundamentals, STOR-i Centre for Doctoral Training
Bayesian and Computational Statistics, Biostatistics , MARS: Mathematics for AI in Real-world Systems
Bayesian and Computational Statistics, Biostatistics , CHICAS, DSAIL - Health, MARS: Mathematics for AI in Real-world Systems, STOR-i Centre for Doctoral Training
CHICAS, Spectrum Centre for Mental Health Research
This project explored how statistical modelling can improve the identification of Neglected Tropical Disease infections among migrant populations in Italy. Focusing on soil-transmitted helminth infections in the Campania region, the study combined publicly available country-level information with individual screening data from 3,830 migrants originating from 64 countries. The findings showed that integrating both data sources improved the prediction of infection risk and could support more targeted screening strategies, helping to reduce pressure on specialist parasitology laboratories.
The research paper, and the study were also recognised in a .
Contributors: Jana Purkiss, Emanuele Giorgi
New infections, such as pandemics, pose significant threats to global health security. This research aims to strengthen the surveillance of such pathogens and improve pandemic preparedness by investigating how changes in the global travel influence the international spread of infections and by identifying delays in the detection and reporting of zoonotic diseases. Using mathematical models, the project will also investigate how these delays can undermine pandemic preparedness and response, and evaluate the usefulness of within-airport surveillance for global surveillance of new and emerging infections.
Contributors: Chiamaka Jibuaku, Peter Atkinson, Jonathan Read
Working with the Brooke Charity, household survey data, focus group meetings and key informant interview date were used to 1. Classify donkey keeping households 2. Estimate the socio-economic value of donkeys 3. Estimate the burden of disease in donkeys Collaborators: Gemma Chaters
CHICAS is collaborating with Evidence Action to support their Deworm the World Initiative, which delivers large-scale deworming programmes to school-aged children across Africa and Asia. This project focuses on estimating the prevalence of soil-transmitted helminths and schistosomiasis, and developing cost-effective survey designs. The work aims to optimise data collection strategies, enabling programmes to maximise the value of available resources while supporting evidence-based decision-making for neglected tropical disease control. Contributors: Freya Clark, Emanuele Giorgi
With a focus on gathering evidence to support the Peste des Petits Ruminant virus elimination campaign we held a 3-day meeting, workshop and expert elicitation sessions with stakeholders from across the small ruminant production and research sectors in Nigeria. Contributors: Gemma Chaters, Jana Purkiss
Ivermectin tablets are given to whole communities across sub-Saharan Africa to control river blindness. Individuals who carry very high numbers of eyeworm larvae in their blood can suffer serious, occasionally fatal, reactions when treated. The criterion for determining that an area is safe for mass distribution of ivermectin is that, with high probability, less than 0.1% of the population are highly infected with eye worm larvae. In collaboration with the University of Manchester and African partners we are developing novel geospatial methods to enable more reliable determination of areas where ivermectin can be used safely. Contributors: Peter Diggle
This report presents an independent evaluation of the Nobi AI-powered ambient fall detection lamps piloted across 57 nursing and residential care homes in Lancashire and South Cumbria. The lamps were installed in the bedrooms of older adults at high risk of falling. The evaluation examines the impact of the technology on residents’ fall rates, staff response times, ambulance call-outs, hospitalisations, quality of care and cost-effectiveness. It also explores factors influencing the potential scalability of the technology across care settings. Contributors: Luís Filipe, Hebatallah Ali
In March 2025, CHICAS convened an international technical meeting on strengthening geostatistical capacity in low-resource settings. Bringing together stakeholders from Ministries of Health, NGOs, academia, and global health organisations across six WHO regions, the project focused on developing a sustainable framework for model-based geostatistics (MBG) training. Key outcomes included a proposed multi-level training approach, regional hub networks, and strategies for long-term funding and engagement to support evidence-based decision-making in national disease control programmes. Contributors: Freya Clark, Jana Purkiss, Farah Khalid, Emanuele Giorgi
The Faculty is pleased to announce that in the most recent Research Excellence Framework (REF2021), 91% of our Research was judged to be world-leading or internationally excellent, and 100% of our research environment was rated world-leading.
REF2021The Faculty of Health and Medicine's multidisciplinary research and teaching operates across three divisions, delivering high quality teaching and research with national and international impact.
The Division of Biomedical and Life Sciences is responsible for coordinating biomedical teaching and research activities at 糖心视频.
The Division of Health Research specialises in postgraduate study and high-quality research with national and international impact on health and wellbeing policy.
In addition to offering our medical degree and course in sports science, 糖心视频 Medical School conducts research into biomedicine, social and ethical aspects of health and medicine, and medical education.
From public lecture series, to student-focused webinars, there's always something going on at the Faculty of Health and Medicine.
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