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as epidemic progresses these assumptions may be less helpful

I am wondering if there is models or implementations on how to account for the differences in policy intervention compliance across different countries. Comparing China and USA, the strictness of the policy varies significantly. In addition, USA lifted the lock down earlier than anticipated. It would be interesting to incorporate this feature in the intervention package.

Thanks.

We would like to create an age structured model that can pull in country-specific age distributions, country-specific age mixing matrices, and age-specific COVIDV19 death rates

Like population size, case counts, hospital resources, etc etc

From country-specific data

Make sure to follow best epi practices for this - should be fitting to incidence, not prevalence, and should ideally have cases labeled by date of onset, not date of reporting, to avoid issues with reporting bias. The fitting methods described here are probably very rigorous: https://cmmid.github.io/topics/covid19/current-patterns-transmission/global-time-varying-transmission.html

MITRE team taking this on

Penn team + Alison