2023
Trends in mosquito species distribution modeling: insights for vector surveillance and disease control
Lippi C, Mundis S, Sippy R, Flenniken J, Chaudhary A, Hecht G, Carlson C, Ryan S. Trends in mosquito species distribution modeling: insights for vector surveillance and disease control. Parasites & Vectors 2023, 16: 302. PMID: 37641089, PMCID: PMC10463544, DOI: 10.1186/s13071-023-05912-z.Peer-Reviewed Original ResearchConceptsSpecies distribution modelsSpecies distribution modelling methodsSpecies distribution modelling literatureDisease vectorsDistribution modelMosquito-borne disease riskInfectious disease vectorsGlobal changeMosquito speciesSpeciesMethodological focusNorth AmericaOutbreak riskDisease riskGeographyMosquitoesModeling effortsRegional modelSystematic reviewEcology
2022
insectDisease: programmatic access to the Ecological Database of the World's Insect Pathogens
Dallas T, Carlson C, Stephens P, Ryan S, Onstad D. insectDisease: programmatic access to the Ecological Database of the World's Insect Pathogens. Ecography 2022, 2022 DOI: 10.1111/ecog.06152.Peer-Reviewed Original ResearchInsect host-pathogen interactionsInsect pathogensHost-pathogen associationsSpatial distribution of speciesEcological databasesHost-pathogen interactionsDistribution of speciesBiotic interactionsSpecies interactionsCurated databaseInsect hostsProgrammatic accessCuration effortsR packagePathogensInfection outcomesEcologyDistribution dataSpatial distributionSpeciesInoculationCurationHostInteractionOptimising 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 model
2021
The science of the host–virus network
Albery G, Becker D, Brierley L, Brook C, Christofferson R, Cohen L, Dallas T, Eskew E, Fagre A, Farrell M, Glennon E, Guth S, Joseph M, Mollentze N, Neely B, Poisot T, Rasmussen A, Ryan S, Seifert S, Sjodin A, Sorrell E, Carlson C. The science of the host–virus network. Nature Microbiology 2021, 6: 1483-1492. PMID: 34819645, DOI: 10.1038/s41564-021-00999-5.Peer-Reviewed Original Research
2018
The Ecology of Pathogen Spillover and Disease Emergence at the Human-Wildlife-Environment Interface
Alexander K, Carlson C, Lewis B, Getz W, Marathe M, Eubank S, Sanderson C, Blackburn J. The Ecology of Pathogen Spillover and Disease Emergence at the Human-Wildlife-Environment Interface. Advances In Environmental Microbiology 2018, 5: 267-298. PMCID: PMC7123968, DOI: 10.1007/978-3-319-92373-4_8.Peer-Reviewed Original ResearchProcess of spilloverAbiotic environmentPathogen spilloverDisease emergencePathogen life cycleHuman populationLife cycleHuman-to-human transmissionInfectious diseasesSpillover processWildlifeEcologistsPublic healthEcologyNovel diseaseTransmission pathwaysLivestockDiseaseGlobal burdenSpillover rateDiversityEcological metrics and methods for GPS movement data
Seidel D, Dougherty E, Carlson C, Getz W. Ecological metrics and methods for GPS movement data. International Journal Of Geographical Information Science 2018, 32: 2272-2293. PMID: 30631244, PMCID: PMC6322554, DOI: 10.1080/13658816.2018.1498097.Peer-Reviewed Original ResearchMovement ecologySpace-use patternsGPS movement dataAnimal movement dataMovement dataIndividual foraging decisionsConservation planningEcological metricsAnimal ecologistsForaging decisionsMovement metricsEcologyAnimal behaviorInter alia</i>,EcologistsPublic healthConservationLandscapeAnalytical methodGeographical analysisGeographic information scienceCommunityAvailabilityGeographicallyMetricsGoing through the motions: incorporating movement analyses into disease research
Dougherty E, Seidel D, Carlson C, Spiegel O, Getz W. Going through the motions: incorporating movement analyses into disease research. Ecology Letters 2018, 21: 588-604. PMID: 29446237, DOI: 10.1111/ele.12917.Peer-Reviewed Original ResearchConceptsMovement ecologyMovement-based methodsQuantify individual heterogeneityHost-pathogen dynamicsEcological processesPatterns of disease burdenWildlife diseasesHost movementMovement behaviorDisease researchEcologySpread pathogensPopulation scaleWildlifeHuman diseasesSpatiotemporal patternsPredictive capacityEcologistsIndividual heterogeneityAnalytical techniquesPathogensReproductionPopulationHostHeterogeneity
2017
Lazarus ecology: Recovering the distribution and migratory patterns of the extinct Carolina parakeet
Burgio K, Carlson C, Tingley M. Lazarus ecology: Recovering the distribution and migratory patterns of the extinct Carolina parakeet. Ecology And Evolution 2017, 7: 5467-5475. PMID: 28770082, PMCID: PMC5528215, DOI: 10.1002/ece3.3135.Peer-Reviewed Original ResearchCarolina parakeetExtinct speciesNatural history of speciesHistory of speciesSpecies distribution modelsCollecting occurrence dataNiche comparisonsClimatic nicheSubspecific variationWestern subspeciesEastern subspeciesAutecological knowledgeDistribution limitParrot speciesMigratory habitsOccurrence dataGeographic separationIconic speciesParakeetsSpeciesSubspeciesMigratory patternsMuseum collectionsEcologyDistribution model