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We decided on a contact matrix by thinking about the definition of "multigenerational family" It means that parents interact with both their children and parents and that the children interact with their grandparents. Then we confirmed with Adarsh that Indian culture has more significant multi-generational families.
We discussed normalization heavily. The conclusion is that because Beta in the original disease dynamics is a composite of the "fraction of pairs of people that interact" and "fraction of interaction that leads to a transmission", we can't use the survey data found by TA1 directly. We need to reinterpret Beta in terms of its two factors in order to interpret the number of contacts per age strata
What went well
We worked closely with our embedded TA3 member from JuliaHub.
People were able to approach our team and get information
Upstreamed a lot of code that was tech debt
What went poorly
Development tasks took too long relative to scenario work. We could have done the scenario immediately but instead spent too much time fixing the hacks we had done previously instead of just making the particular stratification that we needed.
Design Decisions
What went well
What went poorly
@epatters, @olynch @p-stokes please add additional feedback.
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