So break it down for me. Show me rural states that did lockdown and that didn’t. Also, don’t forget to show me what the rates were before the states went into lockdown too, for the states that did.
For example, if State A and B are both rural, and on March 1, State A has 1000 cases so went into lockdown, and State B had 100 and didn’t, you surely have to account for their initial starting point being much higher. If you have 1000 cases one day, and 500 the next day, you cut the increase in half. If you had 100 cases one day and 200 the next, you doubled the increase. But you can isolate the data out of context and say 200 < 500, so the second case “worked better,” even though the growth rate is increasing faster, and may overtake the other one in a day or two. We have to look at what made states go into lockdown/restriction. Did they go into lockdown before a ton of cases, or in REACTION to the cases, meaning that states that never locked down of course have lower rates BECAUSE, for any number of reasons, they never got hit with that initial spike?
I’d be very curious to see what the curves and growth rates look like in different states with different practices and restrictions at X number of confirmed cases.