Modelling choices for diphtheria #136
pratikunterwegs
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Hi Pratik, Great. This seems good for now. |
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This discussion is about modelling choices for a diphtheria model to be added to {epidemics}.
The model will be based on Finger et al. (2019) for IDP/refugee camps.
Could I please hear preferences on some modelling choices. Where there are clear options I have marked the parsimonius, less time-intensive option.
The model assumes homogeneous social contacts when calculating force of infection. Options:
a. Implement heterogeneous social contacts,
b. Assume camps have small spatial scale that results in homogeneous social contacts.
The model assumes some proportion of the 5 - 14 age group to be vaccinated and immune. Three options:
a. Allow one/multiple vaccination compartments and add vaccination dynamics (taken from this WHO position paper),
b. Allow model parameter for p_vaccinated and remove this proportion from susceptibles.
c. No model parameter for vaccinations and users should pass correct number of susceptibles
The model is an age-structured meta-population model with a flexible number of locations. Three options:
a. Include location structure at this stage,
b. Implement a single location model, adding location structure later,
c. Implement only a single location model.
The model assumes no movement or contacts between camps, and lists this as a drawback in the Discussion. Please comment on whether this should be considered/added as a transition matrix, or in the form of events modifying population sizes in each camp.
Tagging @rozeggo @BlackEdder @adamkucharski and @sbfnk for comments.
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