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).
Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Biomedical
Centre for Health Inequalities Research, CHICAS, Health Economics
CHICAS, DSAIL - Health, FHM Mental Health Theme
CHICAS, DSAIL - Society, Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Biomedical
Centre for Sustainable Soils, Centre of Excellence in Environmental Data Science, DSAIL- Environment, Earth Science, Geospatial Data Science, Lancaster 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, Security Lancaster
Bayesian and Computational Statistics, Biostatistics , CHICAS, DSAIL - Health, MARS: Mathematics for AI in Real-world Systems, STOR-i Centre for Doctoral Training
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 can be accessed here, and the study was also recognised in a PLOS Neglected Tropical Diseases viewpoint article available here.
Contributors: Jana Purkiss, 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 Lancaster.
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, Lancaster 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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