memilio
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Modular spatio-temporal models for epidemic and pandemic simulations
### Feature description If only the minimal boost version is used (see issue #992) and the boost functions for epidemiology/state_age_function.h cannot be used, one could offer the possibility to approximate...
# Changes and Information Please **briefly list the changes** (main added features, changed items, or corrected bugs) made: - Rename delay_lockdown and make it a DynamicNPIsImplementationDelay Parameter - Harmonize SECIR...
In https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07302-9, we considered different delays in NPI implementation which was hardcoded and can be found in: https://github.com/SciCompMod/memilio/blob/8ddb863051a43028c7d0fcdacdd1176db64ee488/cpp/models/ode_secirvvs/model.h#L649C16-L649C30 This value should be made a parameter and made available for other...
## Changes Please briefly list the changes made: [Describe here in 2-3 lines. For details, reference to issues to avoid redundant information.] ## Merge Request - GuideLine Checklist - *Check...
### Motivation / Current Behaviour _No response_ ### Enhancement description We want to implement the behavior model from https://doi.org/10.3389/fphy.2022.842180 ### Additional context _No response_ ### Checklist - [X] Attached labels,...
### Motivation / Current Behaviour Currently, the derivation of the StateAgeFunction, which is required in the compute_flow function of the IDE SECIR model, is approximated by a backward difference quotient....
Use unorderep map for indices to make access more clear, is needed for issue #378
### Bug description On the SC HPDA Cluster, the build fails with an error in boost libraries if the boost module is loaded. ### Version Linux ### To reproduce -...
### Motivation / Current Behaviour To have arbitrary number of agents, we want to scale the abm.cpp simulation. ### Enhancement description Implement a factor ### Additional context _No response_ ###...
Implement the Model introduced in https://www.medrxiv.org/content/10.1101/2024.03.01.24303602v1 which is an extension of the SECIRVVS model.