...
looking for real numbers and perhaps a bit of hope.
You aren't the only one. Stay strong, friend!
I realize that many people are trying to "make sense of it all," find some hope and comfort in this whole dreadful situation. Personally, I find the most comfort in truthful transparency, facts and data, rather than trying to put a sugar coating on an inevitable reality.
My bottom line is that I wouldn't be surprised if the virus numbers (confirmed and total deaths) in the US worsened for the next 2-3 weeks, and started to flatten and decline by the end of April. And I wouldn't be surprised if the US total deaths go from the present 1,000+ to between 5,000 to 10,000 before they decline. FYI, at present, Italy has reported over 8,000 deaths, China (where it all started) over 3,000 deaths, and Spain over 4,000 deaths. So I personally won't be surprised if US gets to where Spain or Italy are right now in terms of total deaths, prior to a decline by end of April as the virus dies out like SARS, etc.
...
Present confirmed cases in US are probably around 80k, and if we assume a ballpark death rate of around 3% that means as a minimum we can expect an additional 2,000+ deaths, raising the total from the present 1,000 to 3,000.
...
So given all that, I personally won't be surprised if by end of April the US sees a total death rate about where Italy is today (ie, maybe something like 8x what the US total deaths are today, or somewhere between 5,000 to 10,000 total), and after that I'm expecting the virus to follow the path of SARS and other past viruses that kinda died out.
Obviously everyone wants to hope for the prevention of as many deaths as possible, everywhere.
The problem with doing simplistic extrapolating from the current numbers is you're not taking into account the exponential nature of the infections past the set of patients that today's outcomes represent. You have to shift the outcomes back on the confirmed-infected curves to see the actual trajectory and make estimations based on that. Here are a couple of examples, simply pulled from the latest raw JHU data (
https://github.com/CSSEGISandData/COVID-19), with the known outcomes shifted back given what we know about average time-to-outcome, etc. and graphed: