Dr Benjamin Atta Owusu

Postdoctoral Research Fellow

I am a health data scientist and epidemiologist at the Exeter Collaboration for Academic Primary Care, University of Exeter. My research follows people with heart failure and COPD: how long one condition goes unrecognised once the other is diagnosed, which long-term conditions accumulate alongside them, and how outcomes differ between patient groups. I work with routinely collected linked health data, connecting primary care records with hospital admissions, death registrations and area deprivation. With clinicians, patients and carers, I am building interpretable machine-learning models that predict falls in people with heart failure, designed so that clinicians can see what drives each prediction.

Research interests

More about my research

Multimorbidity

How heart failure, COPD, cancer and other long-term conditions occur together, in what order, and what that means for patients.

Cardiovascular and respiratory epidemiology

Incidence, timing of diagnosis and outcomes of heart failure and COPD in national linked primary care records.

Interpretable machine learning

Prediction models that are calibrated, checked across patient groups, and explained in ways clinicians and patients helped design.

Digital health

Using routinely collected records for clinical decision support and for digital twins of patient care.

Selected projects

All projects

Heart failure and COPD

How often COPD is recorded before heart failure, how long the gap is between the two diagnoses, and which factors are associated with a longer interval.

  • Multimorbidity
  • CPRD

Falls in heart failure

Interpretable machine-learning models that predict falls in people with heart failure, with risk that updates as the record changes. Healthcare professionals, patients and carers shaped how risk and uncertainty are shown. Funded by an EPSRC LEAP fellowship.

  • Machine learning
  • Heart failure

Respiratory infections in heart failure and COPD

Infection episodes in primary care, infection-related hospital admissions and antibiotic prescribing in people with heart failure, COPD or both, compared with a matched cohort from the general population.

  • Infections
  • Prescribing

Recent research outputs

All research outputs
  1. 2025

    Trend and association between particulate matters and meteorological factors: a prospect for prediction of PM2.5 in Southern Thailand

    Lim A, Owusu BA, Thongrod T, Khurram H, Pongsiri N, Ingviya T, Buya S

    Polish Journal of Environmental Studies, 34(5)

  2. 2025

    Spatiotemporal patterns of leprosy in Southern Thailand: identifying high-burden districts over 25 years

    Muwannasing D, Owusu BA, Tongkumchum P, Pongsiri N, Ammatawiyanon L, Poolsawat P

    Spatial and Spatio-temporal Epidemiology, 55:100766

  3. 2024

    Spatial and temporal patterns of land surface temperature in Greenland from 2000-2019

    Pongsiri N, McNeil R, Saelim R, Owusu BA, Chuai-Aree S

    Mausam, 75(2):543-550

Track record

Funding

8

Published papers

Journal and conference papers

3

First-author papers

As lead author

£55,000

EPSRC LEAP fellowship

Lead applicant, 2024

£14,000

HDR UK South West seedcorn

Co-applicant, 2025