2025
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Ye Y, Pandey A, Bawden C, Sumsuzzman D, Rajput R, Shoukat A, Singer B, Moghadas S, Galvani A. Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. Nature Communications 2025, 16: 581. PMID: 39794317, PMCID: PMC11724045, DOI: 10.1038/s41467-024-55461-x.Peer-Reviewed Original ResearchConceptsArtificial intelligenceEffective public health planningPublic health planningMechanistic modelSystematic search strategyCapabilities of artificial intelligenceData-mining capabilitiesReview of opportunitiesFusion of AIPotential of AIHealth plansSpectrum of infectious diseasesDisease dynamics
2024
Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution
Surasinghe S, Kabengele K, Turner P, Ogbunugafor C. Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution. Bulletin Of Mathematical Biology 2024, 86: 88. PMID: 38877355, PMCID: PMC11178639, DOI: 10.1007/s11538-024-01313-0.Peer-Reviewed Original Research
2022
Urban-adapted mammal species have more known pathogens
Albery G, Carlson C, Cohen L, Eskew E, Gibb R, Ryan S, Sweeny A, Becker D. Urban-adapted mammal species have more known pathogens. Nature Ecology & Evolution 2022, 6: 794-801. PMID: 35501480, DOI: 10.1038/s41559-022-01723-0.Peer-Reviewed Original ResearchConceptsParasite richnessIncreased zoonotic disease riskUrban-adapted speciesWildlife disease dynamicsZoonotic disease riskSampling biasUrban mammalsMammal speciesDocumented parasitismFrequent contact with humansAnthropogenic changesGeographic predictorsParasite discoveryRichnessUrban animalsHost-parasite combinationsInvestigated speciesContact with humansDisease dynamicsZoonotic parasitesUrban environmentSpeciesMounting concernMammalsParasites
2020
The Epidemiological Signature of Pathogen Populations That Vary in the Relationship between Free-Living Parasite Survival and Virulence
Gomez L, Meszaros V, Turner W, Ogbunugafor C. The Epidemiological Signature of Pathogen Populations That Vary in the Relationship between Free-Living Parasite Survival and Virulence. Viruses 2020, 12: 1055. PMID: 32971954, PMCID: PMC7551987, DOI: 10.3390/v12091055.Peer-Reviewed Original ResearchConceptsFree-living survivalEvolution of virulenceParasite survivalEcology of infectious diseasesConsequences of variationPathogen populationsPillar of evolutionary theoryHost-parasite systemsInfluence several aspectsVirulenceEvolutionary changesParasite virulenceEpidemiological scaleDisease dynamicsEvolutionary theory
2019
Modeling Approaches Toward Understanding Infectious Disease Transmission
Skrip L, Townsend J. Modeling Approaches Toward Understanding Infectious Disease Transmission. 2019, 227-243. PMCID: PMC7121152, DOI: 10.1007/978-3-030-25553-4_14.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsModern statistical inferenceInfectious disease dynamicsStatistical inferenceMathematical modelData-driven modelsPublic health strategiesDisease dynamicsGlobal health infrastructureInfluenza vaccinationInfectious disease transmissionHealth strategiesDisease trendsBehavioral interventionsHealth infrastructureEbola epidemicPowerful toolDisease transmissionModelDiseaseCommunity-based initiativesIncorporation of dataInferenceFundamental aspectsDynamicsPredictive power
2010
The Impact of Realistic Age Structure in Simple Models of Tuberculosis Transmission
Brooks-Pollock E, Cohen T, Murray M. The Impact of Realistic Age Structure in Simple Models of Tuberculosis Transmission. PLOS ONE 2010, 5: e8479. PMID: 20062531, PMCID: PMC2797602, DOI: 10.1371/journal.pone.0008479.Peer-Reviewed Original ResearchConceptsSimple modelReproductive ratioRealistic age structureSteady-state dynamicsBasic reproductive ratioMathematical descriptionMathematical modelParameter estimationRepresentative of modelsAnalytic argumentsInterpretation of modelsTuberculosis transmissionModelling assumptionsTB modelControl interventionsTB natural historyChronic infectious diseaseDisease dynamicsPublic health interventionsRealistic distributionExponential lifetimesAsymptomatic latent infectionIndividual-based modelPrevalence of infectionActive disease
2003
The effect of drug resistance on the fitness of Mycobacterium tuberculosis
Cohen T, Sommers B, Murray M. The effect of drug resistance on the fitness of Mycobacterium tuberculosis. The Lancet Infectious Diseases 2003, 3: 13-21. PMID: 12505028, DOI: 10.1016/s1473-3099(03)00483-3.Peer-Reviewed Original Research
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