2021
Adaptive Policies to Balance Health Benefits and Economic Costs of Physical Distancing Interventions during the COVID-19 Pandemic
Yaesoubi R, Havumaki J, Chitwood MH, Menzies NA, Gonsalves G, Salomon JA, Paltiel AD, Cohen T. Adaptive Policies to Balance Health Benefits and Economic Costs of Physical Distancing Interventions during the COVID-19 Pandemic. Medical Decision Making 2021, 41: 386-392. PMID: 33504258, PMCID: PMC8084913, DOI: 10.1177/0272989x21990371.Peer-Reviewed Original ResearchConceptsAdaptive policiesClear decision rulesSocial costsEconomic costsPolicy makersPhysical distancing policiesDecision toolPolicyPhysical distancing interventionsDistancing policiesModel-based experimentsDecision rulesReal-time surveillance dataCostCOVID-19 pandemicMakersShorter overall durationMore complex modelsHealth benefitsComplex modelsPandemicCurrent pandemicCOVID-19BenefitsRules
2016
Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience
McDougal RA, Morse TM, Carnevale T, Marenco L, Wang R, Migliore M, Miller PL, Shepherd GM, Hines ML. Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. Journal Of Computational Neuroscience 2016, 42: 1-10. PMID: 27629590, PMCID: PMC5279891, DOI: 10.1007/s10827-016-0623-7.Peer-Reviewed Original ResearchConceptsComputational neuroscience modelsHigh performance computationEssential modeling toolUser experienceData-based modelsPerformance computationModelDBGraphical toolUser-friendly databaseModeling toolsResearch topicNeuroscience modelsCollect dataNew challengesNeuron modelingConvenient venueMassive developmentComplex modelsNew technologiesLarge research groupsRunning modelFuture of neuroscienceUsersMultiple scalesModel of interestOFFl Models: Novel Schema for Dynamical Modeling of Biological Systems
Ogbunugafor C, Robinson S. OFFl Models: Novel Schema for Dynamical Modeling of Biological Systems. PLOS ONE 2016, 11: e0156844. PMID: 27270918, PMCID: PMC4896432, DOI: 10.1371/journal.pone.0156844.Peer-Reviewed Original ResearchConceptsWeighted directed graphRelational databaseModels of dynamical systemsSoftware implementationTransformation rulesDynamic models of biological systemsNovel schemaModel schemaModels of biological systemsFlow diagramModel building processDirected graphSystem of ordinary differential equationsSchemaInterpretable modelsEquivalent representationOrdinary differential equationsFormalized versionConsumer-resource modelsDynamical systemsBuilding processChief motivationTarget speciesComplex modelsImplementationFaster permutation inference in brain imaging
Winkler AM, Ridgway GR, Douaud G, Nichols TE, Smith SM. Faster permutation inference in brain imaging. NeuroImage 2016, 141: 502-516. PMID: 27288322, PMCID: PMC5035139, DOI: 10.1016/j.neuroimage.2016.05.068.Peer-Reviewed Original ResearchConceptsGamma distributionPermutation distributionProperties of statisticsReal data exampleInexpensive computing powerLinear modelGeneralised Pareto distributionMatrix theoryTail approximationNegative binomial distributionSymmetric errorsPareto distributionDirect fittingFamily-wise error ratePermutation inferenceReference resultsComplex modelsBinomial distributionReal dataSynthetic dataExact error rateComputing powerGeneral linear modelFamilywise errorNull hypothesis
1990
How bad can it get? bounding worst case endemic heterogenous mixing models of HIV/AIDS
Kaplan E, Lee Y. How bad can it get? bounding worst case endemic heterogenous mixing models of HIV/AIDS. Mathematical Biosciences 1990, 99: 157-180. PMID: 2134517, DOI: 10.1016/0025-5564(90)90002-g.Peer-Reviewed Original ResearchConceptsHIV/AIDSHIV transmissionInfected personsEndemic steady stateMore complex modelsPublic health interventionsUpper boundsSexual activity ratesMaximum numberParameter valuesWorst-case resultsComplex modelsWorst-case numberHealth interventionsCase numbersNumber of personsRandom mixingHeterogeneous mixingSimple modelAIDSSteady stateWorst case
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