(1) How are you doing? How have you spent your time during this period of social distancing
and extra spring break? Is there any help you need that we can provide?

(2) Do you know anyone (family member, friend, acquaintence) who has been diagnosed with
COVID-19? Do you know any details of their situation: (a) how long did it take for the test
results to come back? (b) while they were waiting for the test results, what sort of quarantining
was recommended? (c) after receiving the test results, what sort of quarantining was
recommended? (d) was there any contact tracing done to follow the contacts of this individual?
(e) have they recovered and if so, was there a test at the end of the recovery period?

(3) Can you identify other disease control policies that are  missing from the examples
on Slide 3 or alternately can you elaborate on any of the disease control policies
that are already listed?

(4) Why is "surveillance" listed as a disease control policy? 

(5) Slide 4 lists a bunch of disease control policies and their hypothesized effect on R_0.
From a modeling point of view, if you had to estimate the effect of any one of these policies 
(e.g., university and school closures) on R_0, how would you do it?

(6) Slide 6 mentions ICU beds, ventilators for patients, and respirators for healthcare
professionals as examples of limited resources. What are some other examples of limited
resources?

(7) On Slide 8, an instance of the Vaccination Allocation problem has been defined.
What other objective functions might be interesting for this problem?

(8) What if vaccination is not 100% effective -- maybe it only works 75% of the time?
How would we model this problem? What if the vaccination is more effective for certain
age groups? How would we model that problem?

(9) Slide 11 shows that the degree-based policy is the best among the ones that
were evaluated on the Healthcare worker contact networks. But, the degree-based policy
is not necessarily optimal. Just imagine a situation with B = 1. Can you come up
with a small network for which the degree-based policy (i.e., choosing a node
with highest degree for vaccination) is not the best possible strategy?

(10) Now imagine that a few months down the road, COVID-19 vaccines are starting to
become available and the UIHC wants to vaccinate a subset of the healthcare workers.
Further suppose that about 1,000 vaccines are available for a workforce of about 10,000.
You need to quickly implement a vaccination policy that is cheap (in terms of money 
and people) for the hospital. What would you do? 

(11) On Slide 15, we are told that reducing beta can be achieved by social distancing. 
But the tricky part is to know (or estimate) how much social distancing is happening
and how exactly this reduces beta. Any thoughts on how you might do this?

(12) On Slide 16, it is shown that for a flu with low transmissibility it is better
to prioritize school kids for vaccination, but for flu with higher transmissibility 
it is better to prioritize higher-risk population for vaccination. Can you explain 
why this might be?