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Professor Adjunct of Biostatistics
Biography
Professor Peter Diggle is currently an EPSRC Senior Fellow, leading a research programme in Spatial and Longitudinal Data Analysis at the University of Lancaster.
Current methodological themes include: geostatistical analysis; spatial and spatio-temporal point processes; joint modelling of repeated measurement and time-to-event outcomes in longitudinal studies. Current areas of application include: real-time disease surveillance; environmental exposure measurement; tropical disease prevalence mapping.
Diggle is founding co-editor of the journal "Biostatistics" and a trustee for the Biometrika Trust.
Last Updated on April 07, 2025.
Appointments
Biostatistics
Professor AdjunctPrimary
Other Departments & Organizations
Education & Training
- PhD
- Newcastle University (1977)
- MSc
- Oxford College (1973)
Research
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Overview
Medical Research Interests
Statistics as Topic
Public Health Interests
Modeling
ORCID
0000-0003-3521-5020
Research at a Glance
Yale Co-Authors
Frequent collaborators of Peter Diggle's published research.
Publications Timeline
A big-picture view of Peter Diggle's research output by year.
Federico Costa, PhD
Albert Icksang Ko, MD
Mitermayer Reis, MD
Jamie Childs, ScD
34Publications
550Citations
Publications
2026
A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
Giorgi E, Fronterre C, Diggle P. A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2026, qnag100. DOI: 10.1093/jrsssa/qnag100.Peer-Reviewed Original ResearchAltmetricEstimates of global burden of snakebite: A literature review and geostatistical modelling study
Ediriweera D, Kasturiratne A, Pathmeswaran A, Stienstra Y, Martín G, Iwamura T, Murray K, de Silva H, Diggle P, Lalloo D. Estimates of global burden of snakebite: A literature review and geostatistical modelling study. PLOS Medicine 2026, 23: e1005201. PMID: 42640884, PMCID: PMC13505955, DOI: 10.1371/journal.pmed.1005201.Peer-Reviewed Original ResearchCitationsAltmetricSpatial Averaging: Estimation or Prediction?
Diggle P, Fronterre C. Spatial Averaging: Estimation or Prediction? Measurement Interdisciplinary Research And Perspectives 2026, ahead-of-print: 1-6. DOI: 10.1080/15366367.2026.2701118.Peer-Reviewed Original ResearchCorrection: Where do they come from and where do they go: Understanding the relationship between deprivation and the geographical journeys of trainee doctors in England
Rowlingson B, Diggle P, Brewster L, Lambert M. Correction: Where do they come from and where do they go: Understanding the relationship between deprivation and the geographical journeys of trainee doctors in England. PLOS ONE 2026, 21: e0352603. PMID: 42348564, PMCID: PMC13298779, DOI: 10.1371/journal.pone.0352603.Commentaries, Editorials and LettersSocial marginalisation, environmental degradation and Toxoplasma gondii exposure in urban informal settlements in Brazil
Eyre M, Wang J, de O. Carneiro I, Reis R, Júnior N, Ribeiro G, Souza F, Santana J, Delight E, Felzemburgh R, Santana F, Mohr S, Melendez A, Queiroz A, Santos A, Cruz J, Owens M, Di Genova B, Reis M, Muñoz-Zanzi C, Diggle P, Costa F, Ko A. Social marginalisation, environmental degradation and Toxoplasma gondii exposure in urban informal settlements in Brazil. PLOS Neglected Tropical Diseases 2026, 20: e0014453. PMID: 42330015, PMCID: PMC13309048, DOI: 10.1371/journal.pntd.0014453.Peer-Reviewed Original ResearchAltmetricWhere do they come from and where do they go: Understanding the relationship between deprivation and the geographical journeys of trainee doctors in England
Rowlingson B, Diggle P, Brewster L, Lambert M. Where do they come from and where do they go: Understanding the relationship between deprivation and the geographical journeys of trainee doctors in England. PLOS ONE 2026, 21: e0345301. PMID: 41911518, PMCID: PMC13035342, DOI: 10.1371/journal.pone.0345301.Peer-Reviewed Original ResearchCitationsAltmetricHealth inequalities in risk of SARS-CoV-2 infection in England’s second wave: population-based cross-sectional analysis from the REACT-1 study
Wang H, Ainslie K, Walters C, Eales O, Haw D, Atchison C, Fronterre C, Diggle P, Ashby D, Cooke G, Barclay W, Ward H, Darzi A, Donnelly C, Riley S, Elliott P. Health inequalities in risk of SARS-CoV-2 infection in England’s second wave: population-based cross-sectional analysis from the REACT-1 study. BMJ Public Health 2026, 4: e002596. DOI: 10.1136/bmjph-2025-002596.Peer-Reviewed Original Research
2025
Topography and environmental deficiencies are associated with chikungunya virus exposure in urban informal settlements in Salvador, Brazil
Travis C, Argibay H, Pellizzaro M, de Oliveira D, Santana R, Palma F, Lustosa R, Santana J, Souza F, López Y, Reis M, Ko A, Diggle P, Ribeiro G, Begon M, Costa F, Khalil H, Eyre M. Topography and environmental deficiencies are associated with chikungunya virus exposure in urban informal settlements in Salvador, Brazil. PLOS Neglected Tropical Diseases 2025, 19: e0013477. PMID: 40911655, PMCID: PMC12440227, DOI: 10.1371/journal.pntd.0013477.Peer-Reviewed Original ResearchUsing Model-Based Geostatistics to Refine Population-Based Estimates of Trachoma Prevalence: Update from a Technical Consultation.
Harte A, Sasanami M, Burgert-Brucker C, Bakhtiari A, Bisanzio D, Jimenez C, Solomon A, Kabona G, Masika M, Ngondi J, Ante-Testard P, Arnold B, Baayenda G, Cuenca P, Diggle P, Edirweera D, Emerson P, Fronterre C, Gass K, Newbury L, Hooper P, Kamau E, Kebede F, Kyomuhangi I, Lietman T, McCracken K, Minnery M, Nash S, Nicholls T, Olobio N, Palmer S, Saeedzai S, Somerville S, Stern C, Stukel D, Szwarcwald C, Talero S, Yevstigneyeva V, Kello A, Harding-Esch E, Giorgi E. Using Model-Based Geostatistics to Refine Population-Based Estimates of Trachoma Prevalence: Update from a Technical Consultation. American Journal Of Tropical Medicine And Hygiene 2025, 113: 930-936. PMID: 40744002, PMCID: PMC12493125, DOI: 10.4269/ajtmh.25-0023.Peer-Reviewed Original ResearchCitationsPeter J Diggle’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al.
Diggle P. Peter J Diggle’s contribution to the Discussion of ‘Some statistical aspects of the COVID-19 response’ by Wood et al. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2025, 189: 67-67. DOI: 10.1093/jrsssa/qnaf078.Peer-Reviewed Original Research
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