2022
Optimising predictive models to prioritise viral discovery in zoonotic reservoirs
Becker D, Albery G, Sjodin A, Poisot T, Bergner L, Chen B, Cohen L, Dallas T, Eskew E, Fagre A, Farrell M, Guth S, Han B, Simmons N, Stock M, Teeling E, Carlson C. Optimising predictive models to prioritise viral discovery in zoonotic reservoirs. The Lancet Microbe 2022, 3: e625-e637. PMID: 35036970, PMCID: PMC8747432, DOI: 10.1016/s2666-5247(21)00245-7.Peer-Reviewed Original ResearchConceptsSystematic model validationTrait-based modelsHost-virus associationsBat hostsHost ecologyWildlife samplesBat speciesNovel hostsSampling recommendationsBridge hostsWildlifeWildlife reservoirsTarget prioritisationBatsStatistical modelMachine learning modelsModel performanceViral discoveryProcess of predictionAnalytical pipelinePrediction modelBetacoronavirusLearning modelsEcologyEnsemble modelMammal virus diversity estimates are unstable due to accelerating discovery effort
Gibb R, Albery G, Mollentze N, Eskew E, Brierley L, Ryan S, Seifert S, Carlson C. Mammal virus diversity estimates are unstable due to accelerating discovery effort. Biology Letters 2022, 18: 20210427. PMID: 34982955, PMCID: PMC8727147, DOI: 10.1098/rsbl.2021.0427.Peer-Reviewed Original ResearchConceptsViral richnessHost speciesReliability of ecological inferenceGeographic sampling biasEvidence of declineViral diversityHost-virus associationsRearrangement of speciesSampling effortVirus discovery ratesEcological inferenceDiscovery effortsMammal hostsWild mammalsDiversity estimatesSampled hostsVirus diversityShort-term changesRichnessSampling biasSpeciesAssociation dataDiscovery rateDiversityCompare inferences
2021
Data Proliferation, Reconciliation, and Synthesis in Viral Ecology
Gibb R, Albery G, Becker D, Brierley L, Connor R, Dallas T, Eskew E, Farrell M, Rasmussen A, Ryan S, Sweeny A, Carlson C, Poisot T. Data Proliferation, Reconciliation, and Synthesis in Viral Ecology. BioScience 2021, 71: 1148-1156. DOI: 10.1093/biosci/biab080.Peer-Reviewed Original Research