Class Hierarchy

CPP API: Class Hierarchy
Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
 Cmio::ABMMobilityEdge< History >Represents the mobility between two nodes
 Cmio::ABMSimulationNode< History >Represents the ABM simulation in one node of the ABM graph model
 Cmio::AbstractParameterDistributionThis class represents an arbitrary ParameterDistribution
 Cad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER >
 Cad::internal::active_type_of< T >
 Cad::internal::active_type_of< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::internal::active_type_of< ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::internal::active_type_of< ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::internal::active_type_of< ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::internal::active_type_of< ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::operations::ad_acos< AD_TAPE_REAL >
 Cad::operations::ad_acosh< AD_TAPE_REAL >
 Cad::operations::ad_add_aa< AD_TAPE_REAL >
 Cad::operations::ad_add_ap< AD_TAPE_REAL >
 Cad::operations::ad_add_pa< AD_TAPE_REAL >
 Cad::operations::ad_asin< AD_TAPE_REAL >
 Cad::operations::ad_asinh< AD_TAPE_REAL >
 Cad::operations::ad_atan< AD_TAPE_REAL >
 Cad::operations::ad_atan2_aa< AD_TAPE_REAL >
 Cad::operations::ad_atan2_ap< AD_TAPE_REAL >
 Cad::operations::ad_atan2_pa< AD_TAPE_REAL >
 Cad::operations::ad_atanh< AD_TAPE_REAL >
 Cad::operations::ad_cos< AD_TAPE_REAL >
 Cad::operations::ad_cosh< AD_TAPE_REAL >
 Cad::operations::ad_div_aa< AD_TAPE_REAL >
 Cad::operations::ad_div_ap< AD_TAPE_REAL >
 Cad::operations::ad_div_pa< AD_TAPE_REAL >
 Cad::operations::ad_erf< AD_TAPE_REAL >
 Cad::operations::ad_erfc< AD_TAPE_REAL >
 Cad::operations::ad_exp< AD_TAPE_REAL >
 Cad::operations::ad_expm1< AD_TAPE_REAL >
 Cad::operations::ad_fabs< AD_TAPE_REAL >
 Cad::operations::ad_hypot_aa< AD_TAPE_REAL >
 Cad::operations::ad_hypot_ap< AD_TAPE_REAL >
 Cad::operations::ad_hypot_pa< AD_TAPE_REAL >
 Cad::operations::ad_log< AD_TAPE_REAL >
 Cad::operations::ad_log10< AD_TAPE_REAL >
 Cad::operations::ad_log1p< AD_TAPE_REAL >
 Cad::operations::ad_minus< AD_TAPE_REAL >
 Cad::operations::ad_mul_aa< AD_TAPE_REAL >
 Cad::operations::ad_mul_ap< AD_TAPE_REAL >
 Cad::operations::ad_mul_pa< AD_TAPE_REAL >
 Cad::operations::ad_plus< AD_TAPE_REAL >
 Cad::operations::ad_pow_aa< AD_TAPE_REAL >
 Cad::operations::ad_pow_ap< AD_TAPE_REAL >
 Cad::operations::ad_pow_pa< AD_TAPE_REAL >
 Cad::operations::ad_sin< AD_TAPE_REAL >
 Cad::operations::ad_sinh< AD_TAPE_REAL >
 Cad::operations::ad_sqrt< AD_TAPE_REAL >
 Cad::operations::ad_sub_aa< AD_TAPE_REAL >
 Cad::operations::ad_sub_ap< AD_TAPE_REAL >
 Cad::operations::ad_sub_pa< AD_TAPE_REAL >
 Cad::operations::ad_tan< AD_TAPE_REAL >
 Cad::operations::ad_tanh< AD_TAPE_REAL >
 Cad::ad_type_constructable_from< T, T2 >
 Cmio::AdoptionRate< FP, Status, Region >Struct defining a possible status adoption in a Model based on Poisson Processes
 Cmio::smm::AdoptionRates< FP, Status, Region >A vector of AdoptionRates, see mio::AdoptionRate
 Cmio::abm::AerosolTransmissionRatesAerosol transmission rates
 Cmio::abm::AgeGroupGotoSchoolThe set of AgeGroups that can go to school
 Cmio::abm::AgeGroupGotoWorkThe set of AgeGroups that can go to work
 CQuadWell< InfectionState >::AgentStruct defining an agent for the diffusive ABM
 CSingleWell< InfectionState >::Agent
 Cmio::details::AllOf< Pred, Tail >
 Cmio::details::AllOf< Pred, Head, Tail... >
 Cmio::details::AnyOf< Pred, Tail >
 Cmio::details::AnyOf< Pred, Head, Tail... >
 Cmio::timing::AutoTimer< Name, Scope >Timer that automatically starts when it is created, and stops when it is destroyed
 Cmio::back_inserter_second_element< Container, Pair >Back inserter that ignores the first element of pairs given to it
 CBase
 Cmio::oseirv::BaselineTransmissibility< FP >Baseline transmissibility R_e (dimensionless)
 CBaseT
 Cmio::omseirs4::BaseTransmissionRate< FP >
 Cmio::abm::BasicShoppingRateParameter for the exponential distribution to decide if a Person goes shopping
 Cmio::timing::BasicTimerA minimal timer class
 Cmio::omseirs4::Beta2Factor< FP >
 Cmio::omseirs4::Beta3Factor< FP >
 Cmio::omseirs4::Beta4Factor< FP >
 Cad::internal::binary_intermediate_aa< AD_TAPE_REAL, AD_ARG1, AD_ARG2, AD_OPERATION >
 Cad::internal::binary_intermediate_ap< AD_TAPE_REAL, AD_ARG1, AD_OPERATION >
 Cad::internal::binary_intermediate_pa< AD_TAPE_REAL, AD_ARG2, AD_OPERATION >
 Cmio::details::BindHead< F, Head >
 Cmio::details::BindTail< F, Tail >
 Cmio::BlendingFactorLocal< FP >Blending factor for local ICU occupancy
 Cmio::BlendingFactorRegional< FP >Blending factor for regional ICU occupancy
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >
 Cmio::ByteStreamIn-memory stream of bytes
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::CALLBACK_DATA_POINTER< EXT_DATA >
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::CALLBACK_FCN_HANDLER_BASE
 Cad::helper::callback_object_base< AD_TAPE >
 Cmio::abm::CellThe Location can be split up into several Cells
 Cmio::abm::CellCapacityCellCapacity describes the size of a Cell
 Cmio::oseirv::ClusteringExponent< FP >Clustering/concavity parameter ρ (dimensionless)
 Cmio::ColumnVectorShape< FP >Shape of a column vector
 Cmio::CompartmentalModel< FP, Comp, Pop, Params >CompartmentalModel is a template for a compartmental model for an array of initial populations and a parameter set
 Cmio::CompartmentalModel< FP, Comp, mio::Populations< FP, PopulationIndex< Comp, mio::regions::Region > >, ParametersBase< FP, Comp, mio::regions::Region > >
 Cmio::CompartmentalModel< FP, InfectionState, LctPopulations< FP, LctStates... >, Parameters< FP > >
 Cmio::CompartmentalModel< FP, InfectionState, mio::Populations< FP, AgeGroup, InfectionState >, Parameters< FP > >
 Cmio::CompartmentalModel< FP, InfectionState, mio::Populations< FP, InfectionState >, Parameters< FP > >
 Cmio::CompartmentalModel< FP, LctInfectionState< FP, InfectionState, 1, NumExposed, NumInfectedNoSymptoms, NumInfectedSymptoms, NumInfectedSevere, NumInfectedCritical, 1, 1 >, mio::Populations< FP, LctInfectionState< FP, InfectionState, 1, NumExposed, NumInfectedNoSymptoms, NumInfectedSymptoms, NumInfectedSevere, NumInfectedCritical, 1, 1 > >, Parameters< FP > >
 Cmio::CompartmentalModel< ScalarType, InfectionState, mio::Populations< ScalarType, InfectionState >, Parameters< ScalarType > >
 Cstd::conditional_t
 Cstd::conditional_t<(details::index_of_impl< sizeof...(Types), Type, Types... >()< sizeof...(Types)), std::true_type, std::false_type >
 Cmio::ConstVisitor< Types >
 Cmio::ConstVisitor< T >
 Cmio::ConstVisitor< Types... >
 Cmio::iseir::ContactFrequencyThe contact frequency is modeled using an UncertainContactMatrix
 Cmio::glsecir::ContactPatterns< FP >The contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::isecir::ContactPatternsThe contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::lsecir2d::ContactPatterns< FP >The contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::lsecir::ContactPatterns< FP >The contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::osecir::ContactPatterns< FP >Contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::osecirts::ContactPatterns< FP >The contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::osecirvvs::ContactPatterns< FP >Contact patterns within the society are modelled using an UncertainContactMatrix
 Cmio::oseir::ContactPatterns< FP >Contact patterns within the society are modelled using a ContactMatrix
 Cmio::oseirdb::ContactPatterns< FP >Contact patterns within the society are modelled using a ContactMatrix
 Cmio::osir::ContactPatterns< FP >Contact patterns within the society are modelled using a ContactMatrix
 Cmio::sseirvv::ContactPatterns< FP >The contact patterns within the society are modelled using a ContactMatrix
 Cmio::ssir::ContactPatterns< FP >Contact patterns within the society are modelled using a ContactMatrix
 Cmio::ssirs::ContactPatterns< FP >Contact patterns within the society are modelled using a ContactMatrix
 Cmio::oseirv::ContactPatternsHealthy< FP >Contact patterns of healthy people (age-structured contact frequencies)
 Cmio::oseirv::ContactPatternsSick< FP >Contact patterns of symptomatically sick people (age-structured contact frequencies)
 Cmio::abm::ContactRatesContact rates
 Cmio::ContactReductionMax< FP >Maximum allowed contact reduction factors per location
 Cmio::ContactReductionMin< FP >Minimum allowed contact reduction factors per location
 Cmio::abm::CriticalPerInfectedSeverePercentage of ICU cases per hospitalized cases
 Cmio::lsecir::CriticalPerSevere< FP >The percentage of ICU patients per hospitalized patients for each group in the SECIR model
 Cmio::osecir::CriticalPerSevere< FP >Percentage of ICU patients per hospitalized patients in the SECIR model
 Cmio::osecirts::CriticalPerSevere< FP >The percentage of ICU patients per hospitalized patients in the SECIRTS model
 Cmio::osecirvvs::CriticalPerSevere< FP >Percentage of ICU patients per hospitalized patients in the SECIR model
 Cmio::lsecir2d::CriticalPerSevere_a< FP >The percentage of ICU patients per hospitalized patients for disease a for each group
 Cmio::lsecir2d::CriticalPerSevere_b< FP >The percentage of ICU patients per hospitalized patients for disease b for each group
 Cmio::CustomIndexArray< Typ, Tags >A class template for an array with custom indices
 Cmio::CustomIndexArray< int, mio::AgeGroup >
 Cmio::CustomIndexArray< mio::abm::TestResult, TestType >
 Cmio::CustomIndexArray< ScalarType, mio::AgeGroup >
 Cmio::CustomIndexArray< std::vector< ScalarType >, mio::AgeGroup >
 Cmio::CustomIndexArray< std::vector< std::vector< ScalarType > >, mio::AgeGroup >
 Cmio::CustomIndexArray< UncertainValue< FP >, Categories... >
 Cmio::CVPlainMatrix< M >Helper to get the matrix type from an eigen expression with correct const volatile qualitfications
 Cmio::CVPlainMatrix< Eigen::Ref< const M > >
 Cmio::osecirts::DailyBoosterVaccinations< FP >Total number of booster vaccinations up to the given day
 Cmio::osecirts::DailyFullVaccinations< FP >Total number of full vaccinations up to the given day
 Cmio::osecirvvs::DailyFullVaccinations< FP >Total number of full vaccinations up to the given day
 Cmio::osecirts::DailyPartialVaccinations< FP >Total number of first vaccinations up to the given day
 Cmio::osecirvvs::DailyPartialVaccinations< FP >Total number of first vaccinations up to the given day
 Cmio::DampingMatrixExpression< FP, D >Coefficient wise matrix (or vector) expression B - D * M where B is a baseline, M is a minimum and D is some time dependent complex damping factor
 Cmio::DampingMatrixExpression< FP >
 Cmio::DampingMatrixExpression< FP, SquareDampings< FP > >
 Cmio::DampingMatrixExpressionGroup< FP, E >Collection of DampingMatrixExpressions that are summed up
 Cmio::DampingMatrixExpressionGroup< FP >
 Cmio::DampingMatrixExpressionGroup< FP, ContactMatrix< FP > >
 Cmio::Dampings< FP, D >Collection of dampings at different time points
 Cmio::DampingSampling< FP >Randomly sample dampings for e.g
 Cmio::DataWriterToMemory< Loggers >This class writes data retrieved from loggers to memory
 Cmio::abm::DataWriterToMemoryDelta< Loggers >This class writes data retrieved from loggers to memory
 Cmio::DateSimple date representation as year, month, and day
 Cmio::osecirts::DaysUntilEffectiveBoosterImmunity< FP >Time in days until booster vaccine dose takes full effect
 Cmio::osecirvvs::DaysUntilEffectiveImprovedImmunity< FP >Time in days until second vaccine dose takes full effect
 Cmio::osecirts::DaysUntilEffectiveImprovedVaccination< FP >Time in days until second vaccine dose takes full effect
 Cmio::osecirvvs::DaysUntilEffectivePartialImmunity< FP >Time in days until first vaccine dose takes full effect
 Cmio::osecirts::DaysUntilEffectivePartialVaccination< FP >Time in days until first vaccine dose takes full effect
 Cmio::oseair::DeathRate< FP >Death Rate
 Cmio::lsecir::DeathsPerCritical< FP >The percentage of dead patients per ICU patients for each group in the SECIR model
 Cmio::osecir::DeathsPerCritical< FP >Percentage of dead patients per ICU patients in the SECIR model
 Cmio::osecirts::DeathsPerCritical< FP >The percentage of dead patients per ICU patients in the SECIRTS model
 Cmio::osecirvvs::DeathsPerCritical< FP >Percentage of dead patients per ICU patients in the SECIR model
 Cmio::lsecir2d::DeathsPerCritical_a< FP >The percentage of dead patients per ICU patients for disease a for each group
 Cmio::lsecir2d::DeathsPerCritical_b< FP >The percentage of dead patients per ICU patients for disease b for each group
 Cmio::abm::DeathsPerInfectedCriticalPercentage of dead cases per ICU cases
 Cmio::abm::DeathsPerInfectedSeverePercentage of dead cases per hospitalized cases
 Cboost::numeric::odeint::default_step_adjuster
 Cmio::DefaultFactory< T >Creates an instance of T for later initialization
 Cmio::DefaultFactory< abm::Mask >Creates an instance of abm::Mask for default serialization
 Cmio::DefaultFactory< abm::Person >Creates an instance of abm::Person for default serialization
 Cmio::DefaultFactory< abm::ProtectionEvent >Creates an instance of abm::ProtectionEvent for default serialization
 Cmio::DefaultFactory< abm::Trip >Creates an instance of abm::Trip for default serialization
 Cmio::geo::DistanceRepresents a distance
 Cmio::DynamicNPIs< FP >Non-pharmaceutical interventions (NPI) that are activated during the simulation if some value (e.g
 Cmio::osecir::DynamicNPIsImplementationDelay< FP >The delay with which DynamicNPIs are implemented and enforced after exceedance of threshold
 Cmio::osecirts::DynamicNPIsImplementationDelay< FP >The delay with which DynamicNPIs are implemented and enforced after exceedance of threshold
 Cmio::osecirvvs::DynamicNPIsImplementationDelay< FP >The delay with which DynamicNPIs are implemented and enforced after exceedance of threshold
 Cmio::osecir::DynamicNPIsInfectedSymptoms< FP >NPIs that are enforced if certain infection thresholds are exceeded
 Cmio::osecirts::DynamicNPIsInfectedSymptoms< FP >The NPIs that are enacted if certain infection thresholds are exceeded
 Cmio::osecirvvs::DynamicNPIsInfectedSymptoms< FP >NPIs that are enforced if certain infection thresholds are exceeded
 Cmio::details::Empty
 Cstd::error_category
 Cmio::dabm::Simulation< Implementation >::EventStruct defining an adoption event for an agent and target infection state
 Cad::exception
 CF
 Cstd::false_type
 Cmio::FeedbackGraphSimulation< FP, Graph >
 Cmio::FeedbackSimulation< FP, Sim, ContactPatterns >A generic feedback simulation extending existing simulations with a feedback mechanism
 Cmio::details::FlattenIOResult< T >
 Cmio::details::FlattenIOResult< IOResult< T > >
 Cmio::Flow< Source, Target >A Flow defines a possible transition between two Compartments in a FlowModel
 Cad::ga1s< T >
 Cad::ga1s< AD_TAPE_REAL >
 Cmio::GammaCutOffNumber of days in the past considered for the gamma distribution
 Cmio::GammaScaleParameter< FP >Scale parameter of the gamma distribution
 Cmio::GammaShapeParameter< FP >Shape parameter of the gamma distribution
 CGenericNumTraits
 Cmio::geo::GeographicalLocationClass representing a geographical location on the Earth's surface
 Cmio::abm::GotoSchoolTimeMaximumLatest time that a Person can go to school
 Cmio::abm::GotoSchoolTimeMinimumEarliest time that a Person can go to school
 Cmio::abm::GotoWorkTimeMaximumLatest time that a Person can go to work
 Cmio::abm::GotoWorkTimeMinimumEarliest time that a Person can go to work
 Cmio::GraphBuilder< NodePropertyT, EdgePropertyT >A builder class for constructing graphs
 Cmio::GraphSimulationBase< GraphT, Timepoint, Timespan, edge_f, node_f >Abstract simulation on a graph with alternating node and edge actions
 Cmio::GraphSimulationBase< Graph, FP, FP, std::function< void(Graph::EdgeProperty &, size_t, Graph::NodeProperty &, Graph::NodeProperty &)>, std::function< void(FP, FP, Graph::NodeProperty &)> >
 Cmio::GraphSimulationBase< Graph, Timepoint, Timespan, void(*)(Timepoint, Timespan, typename Graph::EdgeProperty &, typename Graph::NodeProperty &, typename Graph::NodeProperty &), void(*)(Timepoint, Timespan, typename Graph::NodeProperty &) >
 Cad::gt1s< T >
 Cad::gt1s< AD_TAPE_REAL >
 Cad::gvalue< VALUE_T >
 Cad::gvalue< DcoT >
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::handler_base
 Cmio::has_duplicates< Types >Tests whether the list Types contains any type multiple times
 Cmio::abm::HighViralLoadProtectionFactorPersonal protective factor against high viral load, which depends on ProtectionType, #AgeGroup and VirusVariant
 Cmio::History< Writer, Loggers >History class that handles writers and loggers
 Cmio::History< mio::abm::TimeSeriesWriter, mio::abm::LogInfectionState >
 Cmio::abm::HouseholdA Household represented by a vector with HouseholdMembers
 Cmio::abm::HouseholdGroupA HouseholdGroup represented by different Households
 Cmio::abm::HouseholdMemberA HouseholdMember represented by a weighted age distribution
 Cmio::osecir::ICUCapacity< FP >Icu capacity in the SECIR model
 Cmio::osecirts::ICUCapacity< FP >Represents the icu capacity in the SECIRTS model
 Cmio::osecirvvs::ICUCapacity< FP >Icu capacity in the SECIR model
 Cmio::ICUOccupancyHistory< FP >Daily local ICU occupancy per age group
 Cad::internal::IF< condition, Then, Else >
 Cad::internal::IF< false, Then, Else >
 Cmio::omseirs4::ImmunityWaningRate< FP >
 CImplementation
 Cmio::Index< CategoryTag >An Index with more than one template parameter combines several Index objects
 Cmio::Index< AgeGroup >
 Cmio::Index< CellIndex >
 Cmio::Index< Region >
 Cmio::Index< SimulationDay >
 Cmio::Index< Tags... >
 Cmio::index_of_type< Type, Types >Finds the index of a Type in the list Types
 Cmio::index_of_type< Index< CategoryTags... >, Index< CategoryTags... > >Specialization of index_of_type for Index. Resolves ambiguity when using Indexs as items
 Cmio::index_of_type< Tag, CategoryTags... >
 Cmio::index_of_type< Type, Types... >
 Cmio::index_of_type< TypeList< Types... >, TypeList< Types... > >Specialization of index_of_type for TypeList. Resolves ambiguity when using TypeLists as items
 Cmio::InEdgeBase
 Cmio::abm::Infection
 Cmio::abm::InfectionProtectionFactorPersonal protection factor against #Infection% after #Infection and vaccination, which depends on ProtectionType, #AgeGroup and VirusVariant
 Cmio::abm::InfectionRateFromViralShedDetermines the infection rate by viral shed
 Cmio::osecirts::InfectiousnessNewVariant< FP >Represents the relative infectiousness of a new variant
 Cmio::osecirvvs::InfectiousnessNewVariant< FP >Represents the relative infectiousness of a new variant
 Cmio::iseir::InfectiousTimeThe infectious time used in the IDE SEIR model
 Cmio::Influence< FP, Status >Struct defining an influence for a second-order adoption
 Cmio::lsecir::Initializer< FP, Model >Class that can be used to compute an initialization vector out of flows for an LCT Model with division in groups
 Cmio::IntegratorCore< FP, Integrands >Interface class defining the integration step used in a SystemIntegrator
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::interpretation_settings
 Cmio::IOStatusIOStatus represents the result of an operation
 Cstd::is_base_of
 Cad::internal::is_not_ad_type< T >
 Cad::internal::is_not_ad_type< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::internal::is_not_ad_type< ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::internal::is_not_ad_type< ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::internal::is_not_ad_type< ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::internal::is_not_ad_type< ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cmio::CustomIndexArray< Typ, Tags >::Slice< Tag, iter_type >::Iterator< T >
 Cmio::iseir::LatencyTimeThe time of latency used in the IDE SEIR model
 Cmio::LctInfectionState< FP, InfectionStates, Ns >Provides the functionality to be able to work with subcompartments in an LCT model
 Cmio::LctPopulations< FP, LctStates >A class template for compartment populations of LCT models
 Cmio::Limits< FP >Type specific limits for floating-points
 Cmio::Limits< ad::internal::active_type< FP, DataHandler > >
 Cmio::Limits< double >
 Cmio::Limits< float >
 Cmio::abm::TestingStrategy::LocalStrategyVector of testing schemes used as an entry for either LocationId or LocationType in TestingStrategy
 Cmio::abm::LocationAll Locations in the simulated Model where Persons gather
 Cmio::abm::LockdownDateStarting date of interventions
 Cmio::LogAlways
 Cmio::LogOnceLogOnce and LogAlways can be used as a base class to write a logger for History
 Cmio::omseirs4::LossMaternalImmunityRate< FP >
 Cmio::abm::MaskReduces the probability that a Person becomes infected
 Cmio::abm::MaskProtectionEffectiveness of a Mask of a certain MaskType% against an Infection%
 Cmio::abm::MaximumContactsMaximum number of Persons an infectious Person can infect at the respective Location
 Cmio::osecir::MaxRiskOfInfectionFromSymptomatic< FP >Risk of infection from symptomatic cases increases as test and trace capacity is exceeded
 Cmio::osecirts::MaxRiskOfInfectionFromSymptomatic< FP >Risk of infection from symptomatic cases increases if test and trace capacity is exceeded
 Cmio::osecirvvs::MaxRiskOfInfectionFromSymptomatic< FP >Risk of infection from symptomatic cases increases as test and trace capacity is exceeded
 Cmio::Members< ValueTypes >List of a class's members
 Cad::internal::min_max_return_type< AD_ARG1, AD_ARG2 >
 Cmio::abm::mobility_dataStruct to save specific mobility data of an agent
 Cmio::MobilityEdge< FP >Mobility between two nodes
 Cmio::MobilityEdgeStochastic< FP >Mobility between two nodes
 Cmio::MobilityParameters< FP >Parameters that influence mobility
 Cmio::MobilityParametersStochastic< FP >Parameters that influence mobility
 Cmio::abm::ModelThe Model of the Simulation
 Cmio::isecir::Model
 Cmio::iseir::Model
 Cmio::MultiIndexIterator< MultiIndex >A Range that can be used to iterate over a MultiIndex
 Cmio::NamedRef< ValueType >A pair of name and reference
 Cmio::omseirs4::NaturalBirthDeathRate< FP >
 Cmio::details::NoCopy
 Cmio::Node< NodePropertyT >Node of the graph
 Cmio::NoDefaultInitA tag used for tag-dispatching the Constructor of ParameterSet, triggering default initialization of all parameters using the get_default member function
 Cmio::NominalICUCapacity< FP >Nominal ICU capacity
 Cnot_copyable_if_t
 Cnumeric_limits
 Cmio::observer_ptr< T >A non-owning pointer
 Cmio::OperatorComparison< TS >Base class to add operator <, <=, >, >= to a class derived from TypeSafe
 Cmio::OperatorComparison< Index< CategoryTag > >
 Cmio::OperatorComparison< LocationId >
 Cmio::OperatorComparison< PersonId >
 Cmio::OperatorComparison< SimulationTime< FP > >
 Cmio::OperatorIncrementDecrement< TS >Base class to add operator ++, – (pre- and post-) to a class derived from TypeSafe
 Cmio::OperatorScalarMultiplicationDivision< TS, S >Base class to add operator *, *=, /, /= with a scalar to a class derived from TypeSafe
 Cmio::OperatorScalarMultiplicationDivision< Index< CategoryTag >, size_t >
 Cmio::OperatorScalarMultiplicationDivision< SimulationTime< FP >, FP >
 Cmio::OutEdgeBase
 Cmio::oseirv::OutsideFoI< FP >Outside force of infection in 1/week
 Cmio::ParameterDistribution
 Cmio::ParameterSet< Tags >Set of parameters defined at compile time
 Cmio::ParameterSet< FP >
 Cmio::ParameterSet< MaximumContacts, ContactRates, UseLocationCapacityForTransmissions >
 Cmio::ParameterStudy< ParameterType, TimeType, StepType >Class used to perform multiple simulation runs with randomly sampled parameters
 Cmio::details::ParameterTag< I, ParamSet >
 Cmio::details::ParameterTag< 0, ParameterSet< Head, Tail... > >
 Cmio::details::ParameterTag< I - 1, ParameterSet< Tail... > >
 Cmio::ParameterTagTraits< Tag >Properties of a parameter
 Cad::internal::passive_value_type_of< T >
 Cad::internal::passive_value_type_of< active_type< AD_TAPE_REAL, DATA_HANDLER > >
 Cmio::abm::PersonAgents in the simulated Model that can carry and spread the Infection
 Cmio::details::TimeSeriesIteratorBase< Derived, FP, IsConstIter, ValueType, ReferenceType >::pointerDereferencable type with a copy of a reference
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::position_t
 Cmio::timing::PrinterStruct with a virtual print method to allow exchanging how TimerRegistrations are evaluated
 Cmio::oseirdb::ProbabilityToRecover< FP >Probability to recover from the infected compartment
 Cmio::omseirs4::ProgressionRate< FP >
 Cmio::abm::ProtectionEventA tuple of ProtectionType and #TimePoint
 Cmio::RowMajorIterator< M, IsConst >::Proxy
 CQuadWell< InfectionState >Implementation of diffusive ABM, see dabm::Model
 Cmio::oseair::Quarantined< FP >Quarantining
 Cmio::abm::QuarantineDurationDuration of quarantine
 Cmio::abm::QuarantineEffectivenessEffectiveness of quarantine
 Cmio::RandomNumberGeneratorBase
 Cmio::Range< Iterator, Sentinel >A range of items defined by two iterators
 Cmio::lsecir::RecoveredPerInfectedNoSymptoms< FP >The percentage of asymptomatic cases for each group in the SECIR model
 Cmio::osecir::RecoveredPerInfectedNoSymptoms< FP >Percentage of asymptomatic cases in the SECIR model
 Cmio::osecirts::RecoveredPerInfectedNoSymptoms< FP >The percentage of asymptomatic cases in the SECIRTS model
 Cmio::osecirvvs::RecoveredPerInfectedNoSymptoms< FP >Percentage of asymptomatic cases in the SECIR model
 Cmio::lsecir2d::RecoveredPerInfectedNoSymptoms_a< FP >The percentage of asymptomatic cases for disease a for each group
 Cmio::lsecir2d::RecoveredPerInfectedNoSymptoms_b< FP >The percentage of asymptomatic cases for disease b for each group
 Cmio::omseirs4::RecoveryRate< FP >
 Cmio::oseair::RecoveryRate< FP >Recovery rate
 Cmio::oseair::RecoveryRateFromAsymptomatic< FP >Infectious period for unconfirmed infected people
 Cmio::RectMatrixShape< FP >Shape of a rectangular matrix
 Cmio::osecirts::ReducExposedImprovedImmunity< FP >Factor to reduce infection risk for persons with improved immunity
 Cmio::osecirvvs::ReducExposedImprovedImmunity< FP >Factor to reduce infection risk for persons with improved immunity
 Cmio::osecirts::ReducExposedPartialImmunity< FP >Factor to reduce infection risk for persons with partial immunity
 Cmio::osecirvvs::ReducExposedPartialImmunity< FP >Factor to reduce infection risk for persons with partial immunity
 Cmio::osecirts::ReducInfectedSevereCriticalDeadImprovedImmunity< FP >Factor to reduce risk of hospitalization for persons with improved immunity
 Cmio::osecirvvs::ReducInfectedSevereCriticalDeadImprovedImmunity< FP >Factor to reduce risk of hospitalization for persons with improved immunity
 Cmio::osecirts::ReducInfectedSevereCriticalDeadPartialImmunity< FP >Factor to reduce risk of hospitalization for persons with partial immunity
 Cmio::osecirvvs::ReducInfectedSevereCriticalDeadPartialImmunity< FP >Factor to reduce risk of hospitalization for persons with partial immunity
 Cmio::osecirts::ReducInfectedSymptomsImprovedImmunity< FP >Factor to reduce risk of developing symptoms for persons with improved immunity
 Cmio::osecirvvs::ReducInfectedSymptomsImprovedImmunity< FP >Factor to reduce risk of developing symptoms for persons with improved immunity
 Cmio::osecirts::ReducInfectedSymptomsPartialImmunity< FP >Factor to reduce risk of developing symptoms for persons with partial immunity
 Cmio::osecirvvs::ReducInfectedSymptomsPartialImmunity< FP >Factor to reduce risk of developing symptoms for persons with partial immunity
 Cmio::osecirts::ReducTimeInfectedMild< FP >Factor to reduce infectious time of persons with partial or improved immunity
 Cmio::osecirvvs::ReducTimeInfectedMild< FP >Factor to reduce infectious time of persons with partial or improved immunity
 Cad::reference_constructor_wrapper< TYPE >
 Cad::reference_constructor_wrapper< void * >
 Cmio::glsecir::RelativeTransmissionNoSymptoms< FP >The relative InfectedNoSymptoms infectability
 Cmio::isecir::RelativeTransmissionNoSymptomsThe relative InfectedNoSymptoms infectability
 Cmio::lsecir::RelativeTransmissionNoSymptoms< FP >The relative InfectedNoSymptoms infectability for each group
 Cmio::osecir::RelativeTransmissionNoSymptoms< FP >Relative InfectedNoSymptoms infectability
 Cmio::osecirts::RelativeTransmissionNoSymptoms< FP >The relative infectability from individuals located in the InfectedNoSymptoms infection state
 Cmio::osecirvvs::RelativeTransmissionNoSymptoms< FP >Relative InfectedNoSymptoms infectability
 Cmio::lsecir2d::RelativeTransmissionNoSymptoms_a< FP >The relative InfectedNoSymptoms infectability for disease a for each group
 Cmio::lsecir2d::RelativeTransmissionNoSymptoms_b< FP >The relative InfectedNoSymptoms infectability for disease b for each group
 Cmio::glsecir::RiskOfInfectionFromSymptomatic< FP >The risk of infection from symptomatic cases in the GLCT-SECIR model
 Cmio::isecir::RiskOfInfectionFromSymptomaticThe risk of infection from symptomatic cases in the SECIR model
 Cmio::lsecir::RiskOfInfectionFromSymptomatic< FP >The risk of infection from symptomatic cases for each group in the SECIR model
 Cmio::osecir::RiskOfInfectionFromSymptomatic< FP >Risk of infection from symptomatic cases in the SECIR model
 Cmio::osecirts::RiskOfInfectionFromSymptomatic< FP >The risk of infection from symptomatic cases in the SECIRTS model
 Cmio::osecirvvs::RiskOfInfectionFromSymptomatic< FP >Risk of infection from symptomatic cases in the SECIR model
 Cmio::lsecir2d::RiskOfInfectionFromSymptomatic_a< FP >The risk of infection from symptomatic cases for disease a for each group
 Cmio::lsecir2d::RiskOfInfectionFromSymptomatic_b< FP >The risk of infection from symptomatic cases for disease b for each group
 Cmio::timing::details::Table< T >::Row
 Cmio::RowMajorIterator< M, IsConst >Iterate over elements of eigen matrix expressions in row major order
 Cmio::geo::RTreeR-tree for spatial queries of geographical locations on the sphere
 Cmio::abm::SchoolRatioPercentage of Persons of the respective age going to school
 Cmio::omseirs4::SeasonalAmplitude< FP >
 Cmio::glsecir::Seasonality< FP >The seasonality in the GLCT-SECIR model
 Cmio::isecir::SeasonalityThe seasonality parameter k in the IDE-SECIR model
 Cmio::lsecir2d::Seasonality< FP >The seasonality in the LCT-SECIR-2-DISEASES model
 Cmio::lsecir::Seasonality< FP >The seasonality in the LCT-SECIR model
 Cmio::osecir::Seasonality< FP >Seasonality in the SECIR model the seasonality is given as (1+k*sin()) where the sine curve is below one in summer and above one in winter
 Cmio::osecirts::Seasonality< FP >The seasonality in the SECIRTS-type model
 Cmio::osecirvvs::Seasonality< FP >Seasonality in the SECIR model the seasonality is given as (1+k*sin()) where the sine curve is below one in summer and above one in winter
 Cmio::ssirs::Seasonality< FP >The seasonality in the SIRS model
 Cmio::oseirv::SeasonalityAmplitude< FP >Seasonality amplitude (dimensionless)
 Cmio::oseirv::SeasonalityShiftPerSeason< FP >Season-specific fine shift t_s
 Cmio::oseirv::SeasonalityShiftPerSubtype< FP >Subtype-specific seasonal shift t_z
 Cmio::omseirs4::SeasonalPhase< FP >
 Cmio::Seq< T >Sequence of indices
 Cmio::Seq< size_t >
 Cmio::SerializerBaseBase class for implementations of serialization framework concepts
 Cmio::abm::SeverePerInfectedSymptomsPercentage of hospitalized cases per infected cases
 Cmio::lsecir::SeverePerInfectedSymptoms< FP >The percentage of hospitalized patients per infected patients for each group in the SECIR model
 Cmio::osecir::SeverePerInfectedSymptoms< FP >Percentage of hospitalized patients per infected patients in the SECIR model
 Cmio::osecirts::SeverePerInfectedSymptoms< FP >The percentage of hospitalized patients per infected patients in the SECIRTS model
 Cmio::osecirvvs::SeverePerInfectedSymptoms< FP >Percentage of hospitalized patients per infected patients in the SECIR model
 Cmio::lsecir2d::SeverePerInfectedSymptoms_a< FP >The percentage of hospitalized patients per infected patients for disease a for each group
 Cmio::lsecir2d::SeverePerInfectedSymptoms_b< FP >The percentage of hospitalized patients per infected patients for disease b for each group
 Cmio::abm::SeverityProtectionFactorPersonal protective factor against severe symptoms after #Infection and vaccination, which depends on ProtectionType, #AgeGroup and VirusVariant
 Cmio::oseirv::SickMixing< FP >Mixing parameter m for “sick” contacts (dimensionless)
 Cmio::abm::Simulation< M >Run the Simulation in discrete steps, evolve the Model and report results
 Cmio::dabm::Simulation< Implementation >A specialized Simulation for mio::dabm::Model
 Cmio::isecir::SimulationRun the simulation in discrete steps and report results
 Cmio::smm::Simulation< FP, Comp, Status, Region >A specialized Simulation for mio::smm::Model
 Cmio::abm::Simulation< GraphABModel >
 Cmio::abm::Simulation< Model >
 Cmio::details::SimulationBase< FP, M, Integrands >Base class to define a Simulation
 Cmio::details::SimulationBase< FP, M, Integrands... >
 Cmio::details::SimulationBase< FP, M, OdeIntegrator< FP > >
 Cmio::details::SimulationBase< FP, M, SdeIntegrator< FP > >
 Cmio::SimulationNode< FP, Sim >Simulation in one node of the graph
 CSingleWell< InfectionState >Implementation of diffusive ABM, see dabm::Model
 Cmio::CustomIndexArray< Typ, Tags >::Slice< Tag, iter_type >A Slice represents a slice of data along one dimension, given a start and end index into that dimension
 Cmio::oseair::SocialDistancing< FP >Social distancing
 Cmio::abm::SocialEventRateParameter for the exponential distribution to decide if a Person goes to a social event
 Cmio::SoftPlusCurvatureParameter< FP >Soft-plus curvature parameter for contact adjustment
 Cmio::Span< T >Reference to any contigiuous array of objects
 Cmio::SquareMatrixShape< FP >Shape of a square matrix
 Cmio::glsecir::StartDay< FP >The start day in the GLCT-SECIR model
 Cmio::isecir::StartDaySets the day in a year at which a simulation with an IDE-SECIR model is started
 Cmio::lsecir2d::StartDay< FP >The start day in the LCT-SECIR-2-DISEASES model
 Cmio::lsecir::StartDay< FP >The start day in the LCT SECIR model
 Cmio::osecir::StartDay< FP >Start day in the SECIR model The start day defines in which season the simulation can be started If the start day is 180 and simulation takes place from t0=0 to tmax=100 the days 180 to 280 of the year are simulated
 Cmio::osecirts::StartDay< FP >The start day in the SECIRTS-type model
 Cmio::osecirvvs::StartDay< FP >Start day in the SECIRVVS model The start day defines in which season the simulation can be started If the start day is 180 and simulation takes place from t0=0 to tmax=100 the days 180 to 280 of the year are simulated
 Cmio::ssirs::StartDay< FP >The start day in the SIRS model The start day defines in which season the simulation can be started If the start day is 180 and simulation takes place from t0=0 to tmax=100 the days 180 to 280 of the year are simulated
 Cmio::osecirts::StartDayNewVariant< FP >The start day of a new variant in the SECIRTS-type model
 Cmio::osecirvvs::StartDayNewVariant< FP >Start day of a new variant in the SECIRVVS model The start day of the new variant defines in which day of the simulation the new variant is introduced
 Cmio::glsecir::StartingProbabilitiesExposed< FP >Vector with the probability to start in any of the subcompartments of the Exposed compartment
 Cmio::glsecir::StartingProbabilitiesInfectedCritical< FP >Vector with the probability to start in any of the subcompartments of the InfectedCritical compartment
 Cmio::glsecir::StartingProbabilitiesInfectedNoSymptoms< FP >Vector with the probability to start in any of the subcompartments of the InfectedNoSymptoms compartment
 Cmio::glsecir::StartingProbabilitiesInfectedSevere< FP >Vector with the probability to start in any of the subcompartments of the InfectedSevere compartment
 Cmio::glsecir::StartingProbabilitiesInfectedSymptoms< FP >Vector with the probability to start in any of the subcompartments of the InfectedSymptoms compartment
 Cmio::StateAgeFunction< FP >A generic function depending on the state age, i.e
 Cmio::StateAgeFunction< ScalarType >
 Cmio::StateAgeFunctionWrapper< FP >Wrapper around StateAgeFunction so that one can work with an arbitrary StateAgeFunction
 Cmio::abm::StateTransitionRepresents a transition period between two infection states
 Cmio::StringLiteral< Size >Wrapper for string literals, that allows passing them as template arguments. Should be used with constexpr
 Cmio::oseirv::SusceptibilityByAge< FP >Age-specific baseline susceptibility σ_i
 Cmio::oseirv::SusceptibleFraction< FP >Fraction of the population that remains susceptible at t0 phi (dimensionless, typically in [0,1])
 CSWPositionSamplerA Sampler for sampling a position for the singlewell potential F(x,y) = (x^4 + y^4)/2, see SingleWell
 Cmio::abm::SymptomsPerInfectedNoSymptomsPercentage of symptomatic cases
 Cmio::SystemIntegrator< FP, Integrands >Integrate a system of equations over time
 Cmio::SystemIntegrator< FP, Integrands... >
 Cmio::timing::details::Table< T >Table used by TablePrinter with named rows and columns. With some extra work, this could be reused elsewhere
 Cmio::Tableau< FP >Two scheme Runge-Kutta numerical integrator with adaptive step width for ODE y'(t) = f(t,y) which is given by y_{n+1} = y_n + h*\sum_{i=1}^lb_ik_{ni} with k_{ni} = f(t_n + c_i*h, y_n + h*\sum_{j=1}^{i-1}a_{ij}k_{nj}) where the general Butcher tableau is 0 | c_2 | a_{21} c_3 | a_{31} a_{32} ..
 Cmio::TableauFinal< FP >
 Cmio::details::TaggedParameter< TagT >
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::tape_callback
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::TAPE_ENTRY
 Cad::internal::tape_options
 Cad::internal::blob_tape< AD_TAPE_REAL, AD_ADJOINT_REAL >::handler_base::tapehandler
 Cad::helper::userdata_object_base< AD_TYPE, AD_TAPE >::template_base_class
 Cmio::hybrid::TemporalHybridSimulation< Model1, Model2, ResultType1, ResultType2 >A temporal-hybrid simulation
 Cmio::osecir::TestAndTraceCapacity< FP >Capacity to test and trace contacts of infected for quarantine per day
 Cmio::osecirts::TestAndTraceCapacity< FP >The Capacity to test and trace contacts of infected for quarantine per day
 Cmio::osecirvvs::TestAndTraceCapacity< FP >Capacity to test and trace contacts of infected for quarantine per day
 Cmio::osecir::TestAndTraceCapacityMaxRisk< FP >Multiplier for the test and trace capacity to determine when it is considered overloaded
 Cmio::osecirts::TestAndTraceCapacityMaxRiskNoSymptoms< FP >Multiplier for the test and trace capacity to determine when it is considered overloaded from cases without symptoms
 Cmio::osecirvvs::TestAndTraceCapacityMaxRiskNoSymptoms< FP >Multiplier for the test and trace capacity to determine when it is considered overloaded from cases without symptoms
 Cmio::osecirts::TestAndTraceCapacityMaxRiskSymptoms< FP >Multiplier for the test and trace capacity to determine when it is considered overloaded by symptomatic cases
 Cmio::osecirvvs::TestAndTraceCapacityMaxRiskSymptoms< FP >Multiplier for the test and trace capacity to determine when it is considered overloaded by symptomatic cases
 Cmio::abm::TestDataStore a map from the TestTypes to their TestParameters
 Cmio::abm::TestingCriteriaTestingCriteria for TestingScheme
 Cmio::oseair::TestingRate< FP >Rate of testing
 Cmio::abm::TestingSchemeTestingScheme to regular test Persons
 Cmio::abm::TestingStrategySet of TestingSchemes that are checked for testing
 Cmio::abm::TestParametersParameters that describe the reliability of a test
 Cmio::abm::TestResultThe TestResult of a Person
 Cmio::lsecir::TimeExposed< FP >Average time spent in the Exposed compartment for each group
 Cmio::oseair::TimeExposed< FP >Inverse of the latent period of the virus
 Cmio::osecir::TimeExposed< FP >(mean) latent time in day unit
 Cmio::osecirts::TimeExposed< FP >Represents the mean latent time in days for different age groups
 Cmio::osecirvvs::TimeExposed< FP >(mean) latent time in day unit
 Cmio::oseir::TimeExposed< FP >Latent time in day unit
 Cmio::oseirdb::TimeExposed< FP >Latent time in day unit
 Cmio::oseirv::TimeExposed< FP >Mean time spent in the exposed compartment in weeks
 Cmio::lsecir2d::TimeExposed_a< FP >Average time spent in the Exposed compartment for disease a in day unit for each group
 Cmio::lsecir2d::TimeExposed_b< FP >Average time spent in the Exposed compartment for disease b in day unit for each group
 Cmio::abm::TimeExposedToNoSymptomsTime that a Person is infected but not yet infectious in day unit
 Cmio::sseirvv::TimeExposedV1< FP >The latent time of variant 1 in days
 Cmio::sseirvv::TimeExposedV2< FP >The latent time of variant 2 in days
 Cmio::ssirs::TimeImmune< FP >Infectious time in day unit
 Cmio::oseir::TimeInfected< FP >Infectious time in day unit
 Cmio::oseirdb::TimeInfected< FP >Infectious time in day unit
 Cmio::oseirv::TimeInfected< FP >Mean time spent in the infectious compartment in weeks
 Cmio::osir::TimeInfected< FP >Infectious time in day unit
 Cmio::ssir::TimeInfected< FP >Infectious time in day unit
 Cmio::ssirs::TimeInfected< FP >Infectious time in day unit
 Cmio::lsecir::TimeInfectedCritical< FP >Average time treated by ICU before dead or recover for each group in the SECIR model in day unit
 Cmio::osecir::TimeInfectedCritical< FP >Time people are treated by ICU before returning home in the SECIR model in day unit
 Cmio::osecirts::TimeInfectedCritical< FP >The time people are treated by ICU before returning home in the SECIRTS model in day unit
 Cmio::osecirvvs::TimeInfectedCritical< FP >Time people are treated by ICU before returning home in the SECIR model in day unit
 Cmio::lsecir2d::TimeInfectedCritical_a< FP >Average time treated by ICU before dead or recovering for disease a in day unit for each group
 Cmio::lsecir2d::TimeInfectedCritical_b< FP >Average time treated by ICU before dead or recovering for disease b in day unit for each group
 Cmio::abm::TimeInfectedCriticalToDeadTime that a Person is treated by ICU before dying in day unit
 Cmio::abm::TimeInfectedCriticalToRecoveredTime that a Person is treated by ICU before recovering in day unit
 Cmio::lsecir::TimeInfectedNoSymptoms< FP >Average time spent in the TimeInfectedNoSymptoms before developing symptoms or recover for each group in the SECIR model in day unit
 Cmio::osecir::TimeInfectedNoSymptoms< FP >(mean) time in day unit for asymptomatic cases that are infectious but have not yet developed symptoms
 Cmio::osecirts::TimeInfectedNoSymptoms< FP >The (mean) time in day unit for asymptomatic cases that are infected but have not yet developed symptoms
 Cmio::osecirvvs::TimeInfectedNoSymptoms< FP >(mean) time in day unit for asymptomatic cases that are infected but have not yet developed symptoms
 Cmio::lsecir2d::TimeInfectedNoSymptoms_a< FP >Average time spent in the TimeInfectedNoSymptoms before developing symptoms or recovering for disease a in day unit for each group
 Cmio::lsecir2d::TimeInfectedNoSymptoms_b< FP >Average time spent in the TimeInfectedNoSymptoms before developing symptoms or recovering for disease b in day unit for each group
 Cmio::abm::TimeInfectedNoSymptomsToRecoveredTime that a Person is infected when staying asymptomatic in day unit
 Cmio::abm::TimeInfectedNoSymptomsToSymptomsTime that a Person is infected but presymptomatic in day unit
 Cmio::lsecir::TimeInfectedSevere< FP >Average time being in the Hospital before treated by ICU or recover for each group in the SECIR model in day unit
 Cmio::osecir::TimeInfectedSevere< FP >Time people are 'simply' hospitalized before returning home in the SECIR model in day unit
 Cmio::osecirts::TimeInfectedSevere< FP >The time people are 'simply' hospitalized before returning home in the SECIRTS model in day unit
 Cmio::osecirvvs::TimeInfectedSevere< FP >Time people are 'simply' hospitalized before returning home in the SECIR model in day unit
 Cmio::lsecir2d::TimeInfectedSevere_a< FP >Average time being in the Hospital before treated by ICU or recovering for disease a in day unit for each group
 Cmio::lsecir2d::TimeInfectedSevere_b< FP >Average time being in the Hospital before treated by ICU or recovering for disease b in day unit for each group
 Cmio::abm::TimeInfectedSevereToCriticalTime that a Person is infected and 'simply' hospitalized before becoming critical in day unit
 Cmio::abm::TimeInfectedSevereToDeadTime that a Person is hospitalized before dying in day unit
 Cmio::abm::TimeInfectedSevereToRecoveredTime that a Person is infected and 'simply' hospitalized before recovering in day unit
 Cmio::lsecir::TimeInfectedSymptoms< FP >Average time spent in the TimeInfectedSymptoms before going to hospital or recover for each group in the SECIR model in day unit
 Cmio::osecir::TimeInfectedSymptoms< FP >Infectious time for symptomatic cases that are infected but who do not need to be hsopitalized in the SECIR model in day unit
 Cmio::osecirts::TimeInfectedSymptoms< FP >The infectious time for symptomatic cases that are infected but who do not need to be hospitalized in the SECIRTS model in day unit
 Cmio::osecirvvs::TimeInfectedSymptoms< FP >Infectious time for symptomatic cases that are infected but who do not need to be hospitalized in the SECIR model in day unit
 Cmio::lsecir2d::TimeInfectedSymptoms_a< FP >Average time spent in the TimeInfectedSymptoms before going to hospital or recovering for disease a in day unit for each group
 Cmio::lsecir2d::TimeInfectedSymptoms_b< FP >Average time spent in the TimeInfectedSymptoms before going to hospital or recovering for disease b in day unit for each group
 Cmio::abm::TimeInfectedSymptomsToRecoveredTime that a Person is infected and symptomatic who will recover in day unit
 Cmio::abm::TimeInfectedSymptomsToSevereTime that a Person is infected and symptomatic but who do not need to be hospitalized yet in day unit
 Cmio::sseirvv::TimeInfectedV1< FP >The infectious time of variant 1 in days
 Cmio::sseirvv::TimeInfectedV2< FP >The infectious time of variant 2 in days
 Cmio::abm::TimePointRepresents a point in time
 Cmio::oseair::TimeRecoveredInv< FP >Rate recovered people become susceptible again
 Cmio::timing::TimerRegistrarTimerRegistrar is a singleton to keep track of and print timers. Does not manage storage
 Cmio::timing::TimerRegistrationStruct used to register (
 Cmio::TimeSeries< FP >Stores vectors of values at time points (or some other abstract variable) the value at each time point is a vector
 Cmio::TimeSeries< ScalarType >
 Cmio::TimeSeriesFunctor< FP >
 Cmio::details::TimeSeriesIteratorBase< Derived, FP, IsConstIter, ValueType, ReferenceType >Base class for TimeSeries iterators that iterate by time point (i.e
 Cmio::details::TimeSeriesIteratorBase< TimeSeriesTimeIterator< FP, IsConstIter >, FP, IsConstIter, details::TimeSeriesIterTraits< FP, IsConstIter >::TimeValue, details::TimeSeriesIterTraits< FP, IsConstIter >::TimeReference >
 Cmio::details::TimeSeriesIteratorBase< TimeSeriesValueIterator< FP, IsConstIter >, FP, IsConstIter, details::TimeSeriesIterTraits< FP, IsConstIter >::VectorValue, details::TimeSeriesIterTraits< FP, IsConstIter >::VectorReference >
 Cmio::details::TimeSeriesIterTraits< FP, IsConst >Type traits for time series iterators
 Cmio::abm::TimeSeriesWriter< Loggers >This is like the DataWriterToMemory, but it only logs time series data
 Cmio::abm::TimeSpanA duration of time
 Cmio::osecirts::TimeTemporaryImmunityII< FP >The time people stays immune after infection or vaccination located in the partial or improved immunity layer in day unit
 Cmio::osecirts::TimeTemporaryImmunityPI< FP >The time people stays immune after infection or vaccination located in naive immunity layer in day unit
 Cmio::oseirdb::TimeToBurial< FP >Average time until a dead person is buried
 Cmio::osecirts::TimeWaningImprovedImmunity< FP >Time in days to describe waning immunity to get susceptible from improved to partial immunity layer
 Cmio::osecirts::TimeWaningPartialImmunity< FP >Time in days to describe waning immunity to get susceptible from partial to naive immunity layer
 Cad::trait_derivative< T >
 Cad::trait_derivative< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_derivative< const ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_passive_value< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_passive_value< ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_passive_value< ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_passive_value< ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_passive_value< ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::trait_passive_value< const ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_passive_value< const ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_passive_value< const ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_passive_value< const ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_passive_value< const ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::trait_tape_index< T >
 Cad::trait_tape_index< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_tape_index< ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_tape_index< ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_tape_index< ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_tape_index< ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::trait_tape_index< const ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_tape_index< const ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_tape_index< const ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_tape_index< const ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_tape_index< const ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::trait_value< T >
 Cad::trait_value< ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_value< ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_value< ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_value< ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_value< ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cad::trait_value< const ad::internal::active_type< AD_TAPE_REAL, DATA_HANDLER_1 > >
 Cad::trait_value< const ad::internal::binary_intermediate_aa< AD_TAPE_REAL, A1_T1, A1_T2, A1_OP > >
 Cad::trait_value< const ad::internal::binary_intermediate_ap< AD_TAPE_REAL, A1_T1, A1_OP > >
 Cad::trait_value< const ad::internal::binary_intermediate_pa< AD_TAPE_REAL, A1_T2, A1_OP > >
 Cad::trait_value< const ad::internal::unary_intermediate< AD_TAPE_REAL, A1_T, A1_OP > >
 Cmio::isecir::TransitionDistributionsTransition distribution for each transition in InfectionTransition
 Cmio::glsecir::TransitionMatrixExposedToInfectedNoSymptoms< FP >Transition matrix of the Exposed compartment
 Cmio::glsecir::TransitionMatrixInfectedCriticalToDead< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedCritical compartment before death
 Cmio::glsecir::TransitionMatrixInfectedCriticalToRecovered< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedCritical compartment before recovery
 Cmio::glsecir::TransitionMatrixInfectedNoSymptomsToInfectedSymptoms< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedNoSymptoms compartment before developing symptoms
 Cmio::glsecir::TransitionMatrixInfectedNoSymptomsToRecovered< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedNoSymptoms compartment before recovery
 Cmio::glsecir::TransitionMatrixInfectedSevereToInfectedCritical< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedSevere compartment before treated by ICU
 Cmio::glsecir::TransitionMatrixInfectedSevereToRecovered< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedSevere compartment before recovery
 Cmio::glsecir::TransitionMatrixInfectedSymptomsToInfectedSevere< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedNoSymptoms compartment before going to hospital
 Cmio::glsecir::TransitionMatrixInfectedSymptomsToRecovered< FP >Transition matrix of the phase-type distribution describing the stay time in the InfectedSymptoms compartment before recovery
 Cmio::isecir::TransitionProbabilitiesDefines the probability for each possible transition to take this flow/transition
 Cmio::smm::TransitionRate< FP, Status, Region >Struct defining a possible regional transition in a Model based on Poisson Processes
 Cmio::smm::TransitionRates< FP, Status, Region >A vector of TransitionRates, see mio::TransitionRate
 Cmio::oseirdb::TransmissionProbabilityFromDead< FP >Probability to infect from the dead but unburied compartment
 Cmio::glsecir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::isecir::TransmissionProbabilityOnContactProbability of getting infected from a contact
 Cmio::lsecir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact for each group
 Cmio::osecir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::osecirts::TransmissionProbabilityOnContact< FP >The probability of getting infected from a single contact
 Cmio::osecirvvs::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::oseir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::oseirdb::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::osir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::ssir::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::ssirs::TransmissionProbabilityOnContact< FP >Probability of getting infected from a contact
 Cmio::lsecir2d::TransmissionProbabilityOnContact_a< FP >Probability of getting infected from a contact for disease a for each group
 Cmio::lsecir2d::TransmissionProbabilityOnContact_b< FP >Probability of getting infected from a contact for disease b for each group
 Cmio::sseirvv::TransmissionProbabilityOnContactV1< FP >Probability of getting infected from a contact with variant 1
 Cmio::sseirvv::TransmissionProbabilityOnContactV2< FP >Probability of getting infected from a contact with variant 2
 Cmio::iseir::TransmissionRiskThe risk of transmission in the event of a contact used in the IDE SEIR model
 Cmio::abm::TripA trip describes a change of Location from one Location to another Location
 Cmio::abm::TripListA list of Trips a Person follows
 Cstd::true_type
 Cad::internal::ts_data< AD_TAPE_REAL >
 Cstd::tuple
 Cmio::type_at_index< Index, Types >Finds the type at the Index-th position in the list Types
 Cmio::type_at_index< Index, Types... >
 Cmio::type_at_index< Tag, CategoryTags... >
 Cmio::details::type_at_index_impl< Index, Head, Tail >Get the type at position Index of list (Head, Tail...)
 Cmio::details::type_at_index_impl< 0, Head, Tail... >
 Cad::helper::type_identity< T >
 Cmio::TypeList< Types >Collection of types. Each type is mapped to an index of type size_t
 Cmio::TypeSafe< T, Derived >Typesafe wrapper around any type to make function arguments, tuple elements, etc
 Cmio::TypeSafe< FP, SimulationTime< FP > >
 Cmio::TypeSafe< size_t, Index< CategoryTag > >
 Cmio::TypeSafe< uint32_t, LocationId >
 Cmio::TypeSafe< uint64_t, PersonId >
 Cad::internal::unary_intermediate< AD_TAPE_REAL, AD_ARG, AD_OPERATION >
 Cmio::UncertainContactMatrix< FP >The UncertainContactMatrix class consists of a ContactMatrix with fixed baseline and uncertain Dampings
 Cmio::UncertainValue< FP >The UncertainValue class consists of a scalar value and a Distribution object
 Cmio::UncertainValue< FP >
 Cmio::UncertainValue< ScalarType >
 Cmio::abm::UseLocationCapacityForTransmissions
 Cmio::osecirvvs::VaccinationGap< FP >Time in days between first and second vaccine dose
 Cmio::oseirv::VaccineCoverage< FP >Vaccination coverage VC_i at t0 (dimensionless, in [0,1])
 Cmio::oseirv::VaccineEffectiveness< FP >Vaccine effectiveness VE_i (dimensionless, in [0,1])
 Cmio::abm::ViralLoadModels the ViralLoad for an Infection, modelled on a log_10 scale
 Cmio::abm::ViralLoadDistributions
 Cmio::abm::ViralLoadDistributionsParametersParameters for the ViralLoad course
 Cmio::abm::ViralShedFactorIndividual viral shed factor to account for variability in infectious viral load spread
 Cmio::abm::ViralShedParameters
 Cmio::abm::ViralShedTupleParameters for the viral shed
 Cmio::Visitor< Types >A generic visitor inspired by Fedor Pikus
 Cmio::Visitor< T >
 Cmio::Visitor< Types... >
 Cmio::abm::WorkRatioPercentage of Persons of the respective age going to work