Matthew Gittins

Matthew Gittins serves as a Lecturer in Biostatistics within the Division of Population Health, Health Services Research & Primary Care at the University of Manchester. His research bridges biostatistical methodology with population health applications, focusing on occupational hazards, environmental exposures, and neurological outcomes. With 70+ research outputs spanning stroke epidemiology, respiratory disease, and pandemic response, he actively contributes to major collaborative initiatives including the Thomas Ashton Institute and Digital Futures research beacon.

His research portfolio demonstrates deep expertise in occupational health statistics and environmental epidemiology. Key contributions include meta-analyses of man-made vitreous fibers' respiratory impacts, VISTA database analyses of stroke recovery patterns, and leadership in the PROTECT consortium for COVID-19 workplace transmission modeling. His methodological strengths encompass cohort analyses, pooled data synthesis, and causal inference frameworks applied to real-world health datasets.

Recent publication trends reveal increasing focus on pandemic occupational health, with 4 of 5 latest papers examining workplace SARS-CoV-2 transmission through innovative pooled cohort approaches. His work consistently addresses critical public health questions through rigorous biostatistical frameworks, particularly regarding industrial exposures and neurological recovery trajectories.

Dr. Gittins has supervised 6 graduate students and secured funding for 4 major projects including the RESPIRE child health study (2021-2026) and the THOR occupational surveillance network (2007-2024). His research directly informs UK health policy through impacts like the PROTECT project's workplace safety guidelines and MyDiabetesMyWay platform evaluation for NHS England.