Active Mathematics & Statistics Public Health & Healthcare

MRC International Statistics & Epidemiology Partnership (ISEP): Strengthening capacity in applied medical statisticians in sub-Saharan Africa

In plain English

AI plain-English summary

Across sub-Saharan Africa, a severe shortage of trained medical statisticians is leaving vast amounts of health data—from clinical trials to mobile phone records—unanalysed. This partnership directly tackles that bottleneck by connecting early-to-mid career statisticians at seven African research institutes with peers in the UK, providing them with peer support, mentorship, and practical training they currently lack. The problem is acute: demand for statistical expertise far exceeds supply, and many working statisticians report professional isolation, poor job satisfaction, and few career development opportunities. This leads to high turnover and lost expertise. The partnership addresses these gaps not by offering more degrees, but by building a sustainable professional network. Activities include an online platform for sharing resources like statistical analysis plans, exchange visits between institutes, a pilot mentorship scheme, and training in skills such as serving on Data Safety and Monitoring Boards. If successful, the project will create a self-sustaining community of confident, experienced statisticians across the region. The immediate impact will be higher-quality epidemiological research and clinical trials. Longer-term, this strengthens the entire research infrastructure that underpins public health decisions—from outbreak response to policy-making—by ensuring that the people who analyse the data are well-trained, supported, and retained.

View original technical description
There is an increased demand for expertise in medical statistics and epidemiology in sub-Saharan Africa (SSA). Demand currently exceeds supply due to both a long-standing shortage of trained and experienced statisticians and the ongoing explosion of data relevant and important to human health. This includes both traditional sources of data, such as observational epidemiological studies, intervention trials and surveillance data, and new large-scale data sources including social media, geospatial data, mobile phones, wearable technology, electronic medical records, bioimaging, and genomics. The proposed MRC International Statistics and Epidemiology Partnership (ISEP) will seek to address the shortage in capacity by creating a partnership between applied statisticians ("ISEP statisticians") at several institutions in SSA: African Population Health Research Centre (APHRC), Kenya; The Health Research Unit, Zimbabwe (THRU-ZIM); Mwanza Intervention Trials Unit (MITU), Tanzania; MRC/UVRI & LSHTM Uganda Research Unit; MRC Unit The Gambia; Zambart, Zambia; the London School of Hygiene & Tropical Medicine (LSHTM) and the MRC Clinical Trials Unit, UK. The Partnership complements existing initiatives for strengthening capacity for medical statistics in SSA which focus either on formal training at MSc and PhD levels, or on bilateral partnerships between one Northern and one African institute. We specifically address the needs of early-to-mid career applied medical statisticians who lack career and skills development opportunities, and report isolation which can lead to poor job satisfaction and retention. The Partnership will improve i) The skill set of medical statisticians by focusing on a) peer-support through an online platform, monthly meetings and periodic theme-specific meetings, exchange visits of ISEP statisticians between partner institutions, sharing of resources used by working statisticians such as statistical analysis plans, and facilitating new joint grant applications; b) training in technical and transferrable skills including management training and skills training specific to the needs of working statisticians such as being on a Data Safety and Monitoring Board; and c) creation of a pilot mentorship scheme including training workshops for mentors and ISEP mentees using LSHTM materials, matching and evaluation ii) Training in medical statistics and epidemiology, led by ISEP statisticians, for students and non-statisticians through a) a two-year MSc Medical Statistics Fellowship scheme, b) short course delivery by developing and implementing a package of training resources in statistics, c) training of trainers to deliver short courses, d) PhD supervision. iii) Stakeholder engagement with a) Directors of ISEP partner institutes to reinforce the benefits of statistical leadership at research institutes both for specific projects and to raise the quality of all quantitative research undertaken, and the need for adequate value and funding for statisticians; b) Directors of relevant BSc/MSc programmes at local Universities and African Institute of Mathematical Sciences to raise awareness of medical statistics as a career among young mathematicians and statisticians; c) policy makers to raise awareness of the role of data to guide public health policy and the importance of training and research support and d) youth to encourage consideration of careers in health research and data analysis by visiting schools and universities Through these activities, we aim to create a sustainable network of trained, confident, experienced statisticians in SSA. This will contribute to a culture change in the perception of statisticians and their role in epidemiological research along with complementary initiatives, with an immediate and longer-term impact on the quality of research conducted.

View the original record at the funder ↗

Researchers

Andrew Max Abaasa (Co-Investigator)Elizabeth George (Co-Investigator)Emily Webb (Co-Investigator)Helen Weiss (Principal Investigator)Nuredin Mohammed (Co-Investigator)Philip Ayieko (Co-Investigator)Sian Floyd (Co-Investigator)Thomas Gathogo Gachie (Co-Investigator)Victoria Simms (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Sub-Saharan Africa Advanced Training Programme for Leadership and Excellence in Biostatistics
UK-Africa Postgraduate Advanced Study Institute in Mathematical Sciences (UK-APASI)
African training network for biostatistics, epidemiology and infectious disease modelling
A capacity-building platform for advancing biostatistics in Ethiopia, Kenya and Malawi
A Public Health Modelling & Data Science Fellowship Centre of Excellence in West and Central Africa

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.