World's Best Scientists 2026 revealed!
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Mathematics
UK
2026

D-Index & Metrics

Mathematics

D-Index
85
Citations
58810
World Ranking
101
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Mathematics in United Kingdom Leader Award
  • 2025 - Research.com Mathematics in United Kingdom Leader Award
  • 2022 - Research.com Mathematics in United Kingdom Leader Award
  • 2001 - Fellow of the American Statistical Association (ASA)

Overview

Peter J. Diggle is affiliated with Lancaster University in the United Kingdom. Their research primarily focuses on the field of Medicine, with a significant number of publications spanning several related subfields including Infectious Diseases, Modeling and Simulation, Parasitology, Public Health, Environmental and Occupational Health, and Epidemiology.

The scientist's work covers a range of topics, notably:

  • COVID-19 epidemiological studies
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • SARS-CoV-2 detection and testing
  • Parasites and Host Interactions
  • Zoonotic diseases and public health
  • Leptospirosis research and findings

Peter J. Diggle has collaborated frequently with several co-authors, including Claudio Fronterrè, Paul Elliott, Deborah Ashby, Christl A. Donnelly, and William Barclay. These collaborations have contributed to a significant body of work related to infectious disease dynamics and public health research.

The scientist has published extensively in a variety of venues. The most frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS neglected tropical diseases
  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • arXiv (Cornell University)
  • Clinical Infectious Diseases

Recent papers by Peter J. Diggle reflect a focus on infectious diseases and public health challenges. These include:

  • Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: results of pre-COVID and COVID-19 lockdown stakeholder engagements (2020), published in BMJ Global Health
  • Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant (2021), published in Science
  • Population antibody responses following COVID-19 vaccination in 212,102 individuals (2022), published in Nature Communications
  • Rapid increase in Omicron infections in England during December 2021: REACT-1 study (2022), published in Science
  • High residual carriage of vaccine-serotype Streptococcus pneumoniae after introduction of pneumococcal conjugate vaccine in Malawi (2020), published in Nature Communications

Peter J. Diggle was awarded the Fellow of the American Statistical Association (ASA) in 2001, recognizing contributions to the statistical community.

Best Publications

  • Analysis of longitudinal data

    Peter Diggle;Patrick J. Heagerty;Kung-Yee Liang;Scott L. Zeger

  • Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

    Peter J. Diggle

  • Statistical analysis of spatial point patterns

    Peter J. Diggle

  • Model-based Geostatistics

    P. J. Diggle;J. A. Tawn;R. A. Moyeed

  • Informative Drop‐Out in Longitudinal Data Analysis

    P. Diggle;M. G. Kenward

  • Time series : a biostatistical introduction

    Peter J Diggle

  • Joint modelling of longitudinal measurements and event time data.

    Robin Henderson;Peter J. Diggle;Angela Dobson

  • Handbook of spatial statistics

    Alan E. Gelfand;Peter Diggle;Peter Guttorp;Montserrat Fuentes

  • Spatial point pattern analysis and its application in geographical epidemiology

    Anthony C. Gatrell;Trevor C. Bailey;Peter J. Diggle;Barry S. Rowlingson

  • A Kernel Method for Smoothing Point Process Data

    Peter Diggle

  • Simple Monte Carlo Tests for Spatial Pattern

    Julian Besag;Peter J. Diggle

  • An approach to the analysis of repeated measurements.

    Peter J. Diggle

  • Modelling multivariate binary data with alternating logistic regressions

    Vincent Carey;Scott L. Zeger;Peter Diggle

  • Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters

    Scott L. Zeger;Peter J. Diggle

  • Monte Carlo Methods of Inference for Implicit Statistical Models

    Peter J. Diggle;Richard J. Gratton

  • Model-based geostatistics (with discussion).

    Peter Diggle;R. A. Moyeed;J. A. Tawn

  • Informative dropout in longitudinal data analysis (with discussion)

    P J Diggle;M G Kenward

  • Geostatistical inference under preferential sampling

    Peter J. Diggle;Raquel Menezes;Ting li Su

  • SPLANCS: spatial point pattern analysis code in S-Plus

    B. S. Rowlingson;P. J. Diggle

  • Second-order analysis of spatial clustering for inhomogeneous populations.

    Peter J. Diggle;Amanda G. Chetwynd

  • Applied Spatial Statistics for Public Health Data

    Peter Diggle

Frequent Co-Authors

Albert I. Ko
Albert I. Ko Yale University
Mitermayer G. Reis
Mitermayer G. Reis Oswaldo Cruz Foundation
Nigel P. French
Nigel P. French Massey University
Simon Capewell
Simon Capewell University of Liverpool
Margaret Whitehead
Margaret Whitehead University of Liverpool
Tom Solomon
Tom Solomon University of Liverpool
Alan E. Gelfand
Alan E. Gelfand Duke University
Matthew Baylis
Matthew Baylis University of Liverpool
Robert S. Heyderman
Robert S. Heyderman University College London
Steven Jones
Steven Jones Lancaster University

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