About
Titles
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.
Appointments
Biostatistics
Professor AdjunctPrimary
Other Departments & Organizations
- Biostatistics
- Biostatistics
- Yale School of Public Health
- Yale School of Public Health - NEW
Education & Training
- PhD
- Newcastle University (1977)
- MSc
- Oxford College (1973)
Research
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 Ko, MD
Jamie Childs, ScD
Mitermayer Reis, MD
18Publications
32Citations
Publications
2024
Cost-effectiveness of comparative survey designs for helminth control programs: Post-hoc cost analysis and modelling of the Kenyan national school-based deworming program.
Minnery M, Okoyo C, Morgan G, Wang A, Johnson O, Fronterre C, Montresor A, Campbell S, Mwandawiro C, Diggle P. Cost-effectiveness of comparative survey designs for helminth control programs: Post-hoc cost analysis and modelling of the Kenyan national school-based deworming program. PLOS Neglected Tropical Diseases 2024, 18: e0011583. PMID: 39621813, DOI: 10.1371/journal.pntd.0011583.Peer-Reviewed Original ResearchAltmetricUnderstanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya
Puranik A, Diggle P, Odiere M, Gass K, Kepha S, Okoyo C, Mwandawiro C, Wakesho F, Omondi W, Sultani H, Giorgi E. Understanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya. BMC Medical Research Methodology 2024, 24: 294. PMID: 39614175, PMCID: PMC11606136, DOI: 10.1186/s12874-024-02420-1.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPredictive inferenceRemotely sensed covariatesSimulation studyModel-based geostatisticsGeostatistical modelImpact of covariatesSpatially referenced covariatesSample sizeModern statistical methodsModel-based geostatistical methodsCross-sectional surveyCovariatesReduced sample sizeClassification of areasPrevalence predictionsInferenceDisease riskMethodsThis studyPrevalenceSub-countyPrevalence levelsDisentangling the influence of reservoir abundance and pathogen shedding on zoonotic spillover of the Leptospira agent in urban informal settlements
Soni N, Eyre M, Souza F, Diggle P, Ko A, Begon M, Pickup R, Childs J, Khalil H, Carvalho-Pereira T, Pertile A, Carvalho M, de Oliveira D, Nery N, Giorgi E, Costa F. Disentangling the influence of reservoir abundance and pathogen shedding on zoonotic spillover of the Leptospira agent in urban informal settlements. Frontiers In Public Health 2024, 12: 1447592. PMID: 39360250, PMCID: PMC11445007, DOI: 10.3389/fpubh.2024.1447592.Peer-Reviewed Original ResearchConceptsRat abundanceReservoir abundanceAbundance of ratsEnvironmentally transmitted diseasesVegetation land coverInfection riskSexually mature ratsHuman infection riskLive trapsUrban informal settlementsZoonotic spilloverLand coverSpatial variationHydrological factorsValley bottomTrack plateAbundanceHuman riskShedding rateMature ratsEco-epidemiological studiesLeptospira infectionSpillover transmissionSpatial distributionInformal settlementsFactors associated with differential seropositivity to Leptospira interrogans and Leptospira kirschneri in a high transmission urban setting for leptospirosis in Brazil
de Oliveira D, Khalil H, Palma F, Santana R, Nery N, Quintero-Vélez J, Zeppelini C, do Sacramento G, Cruz J, Lustosa R, Ferreira I, Carvalho-Pereira T, Diggle P, Wunder E, Ko A, Lopez Y, Begon M, Reis M, Costa F. Factors associated with differential seropositivity to Leptospira interrogans and Leptospira kirschneri in a high transmission urban setting for leptospirosis in Brazil. PLOS Neglected Tropical Diseases 2024, 18: e0011292. PMID: 38758957, PMCID: PMC11139309, DOI: 10.1371/journal.pntd.0011292.Peer-Reviewed Original ResearchAltmetricConceptsYears of ageResidents of low-income areasMultinomial logistic regression modelWork-related exposureEpidemiological patternsLow-income areasLogistic regression modelsInformal urban communitiesFactors associated with seropositivityCity of SalvadorPathogenic species of bacteriaUrban settingsUrban communitiesLongitudinal Data Analysis
Diggle P, Taylor-Robinson D. Longitudinal Data Analysis. 2024, 1-34. DOI: 10.1007/978-1-4614-6625-3_75-1.Peer-Reviewed Original ResearchCitationsConceptsTime-to-event outcomesBinary responsesTreatment of missing valuesClinical trials of drug therapyJoint modelTrials of drug therapyCystic fibrosis patientsLongitudinal studyLinear modelCross-sectional studySchizophrenia patientsFibrosis patientsLong-term progressionDrug therapyClinical trialsLung functionObservational studyNon-independencePatientsOutcome variablesStatistical methodsImproving the Cost-efficiency of Preventive Chemotherapy: Impact of New Diagnostics on Stopping Decisions for Control of Schistosomiasis
Coffeng L, Graham M, Browning R, Kura K, Diggle P, Denwood M, Medley G, Anderson R, de Vlas S. Improving the Cost-efficiency of Preventive Chemotherapy: Impact of New Diagnostics on Stopping Decisions for Control of Schistosomiasis. Clinical Infectious Diseases 2024, 78: s153-s159. PMID: 38662699, PMCID: PMC11045014, DOI: 10.1093/cid/ciae020.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsHow Does the Proportion of Never Treatment Influence the Success of Mass Drug Administration Programs for the Elimination of Lymphatic Filariasis?
Kura K, Stolk W, Basáñez M, Collyer B, de Vlas S, Diggle P, Gass K, Graham M, Hollingsworth T, King J, Krentel A, Anderson R, Coffeng L. How Does the Proportion of Never Treatment Influence the Success of Mass Drug Administration Programs for the Elimination of Lymphatic Filariasis? Clinical Infectious Diseases 2024, 78: s93-s100. PMID: 38662701, PMCID: PMC11045024, DOI: 10.1093/cid/ciae021.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMass drug administrationElimination of lymphatic filariasisEfficacious treatment regimensLymphatic filariasisLevels of NTMass drug administration programmesYears of annual treatmentTreatment regimensDrug combinationsTransmission settingsMass drug administration programsDrug AdministrationTreatment coveragePrevalenceTransmission areasMDA coverageBaselineProportion of peopleTreatmentPrevalence thresholdImpact of NTAlbendazoleDiethylcarbamazineHighest infection prevalenceHighest proportionA Comparison of Markov and Mechanistic Models for Soil-Transmitted Helminth Prevalence Projections in the Context of Survey Design
Eyre M, Bulstra C, Johnson O, de Vlas S, Diggle P, Fronterrè C, Coffeng L. A Comparison of Markov and Mechanistic Models for Soil-Transmitted Helminth Prevalence Projections in the Context of Survey Design. Clinical Infectious Diseases 2024, 78: s146-s152. PMID: 38662703, PMCID: PMC11045013, DOI: 10.1093/cid/ciae022.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsOptimal survey designImpact assessment surveysSurvey designProjected prevalenceGeostatistical methodsPrevalence surveySampling designSchool-aged childrenPreventive chemotherapySoil-transmitted helminthsPrevalence projectionsControl programsWorld Health OrganizationAssessment surveyPrevalence dataSub-Saharan AfricaMechanistic modelTarget of PCSoutheast AsiaHealth OrganizationMechanistic methodsPrevalenceBillion peopleSub-SaharanInadequate sanitationIntegrating wastewater and randomised prevalence survey data for national COVID surveillance
Li G, Diggle P, Blangiardo M. Integrating wastewater and randomised prevalence survey data for national COVID surveillance. Scientific Reports 2024, 14: 5124. PMID: 38429366, PMCID: PMC10907376, DOI: 10.1038/s41598-024-55752-9.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPrevalence dataPrevalence surveySurveillance systemCollection of health dataDisease prevalenceMeasures of prevalenceLocal disease prevalenceWastewaterSpatial resolutionWastewater dataPrevalence survey dataHealth dataReduced scaleDisease metricsCoarser spatial resolutionDisease-agnosticPrevalenceCOVID-19 pandemicSurveillance toolPost-pandemic settingEarly detectionNon-epidemic periodsCost-effective mannerSurveyDetect outbreaksAudio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Coppock H, Nicholson G, Kiskin I, Koutra V, Baker K, Budd J, Payne R, Karoune E, Hurley D, Titcomb A, Egglestone S, Tendero Cañadas A, Butler L, Jersakova R, Mellor J, Patel S, Thornley T, Diggle P, Richardson S, Packham J, Schuller B, Pigoli D, Gilmour S, Roberts S, Holmes C. Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. Nature Machine Intelligence 2024, 6: 229-242. DOI: 10.1038/s42256-023-00773-8.Peer-Reviewed Original ResearchCitationsAltmetric
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