I don’t get people’s fascination with everybody needing to be tested. Whether you have it or not, you’re going to be told to stay home and quarantine. Just stay the f*** home and act like you and everybody else has it.
I understand the need to test essential workers and the vulnerable population, but all these Facebook warriors who have no job and have nothing to do need to stop worrying about being tested for the sake of getting tested. Just stay home.
Testing isn't as important right now for individuals with no or very mild symptoms, but big picture it's incredibly important for a variety of reasons. One of the main reasons is to acquire a bigger sample of data and weed out the variance.
There is presumably a large number of people out there who have either died at home from the virus, or they contracted the virus, but either didn't become symptomatic, or they had mild symptoms. None of which are counted in the actual numbers right now.
So they have a very incomplete picture of the absolute numbers right now, and they don't know how the virus spreads among the asymptomatic or presymptomatic. Just an assumption that it's playing a part, because there are parts of the data that would likely require that to be the case, for the numbers to be what they are.
They also don't know for sure how long you remain infectious to others after contracting the virus. There was a study out of China back in March saying that patients who survived the disease shed the virus between 8-37 days. But they don't know how much of that shedding in the later stages leads to infection in others.
All of this lack of data from a lack of testing has big impacts on an accurate case fatality rate, as well as the number of confirmed cases per day. The latter being one of the better ways to track the spread, but only if that daily number is accurate.
So they could potentially see a false slowing of the spread, or vice versa. Which they will be using to base their recommendations to open the economy back up.
With such a long incubation period of 2-14 days, along with spreading symptomatically and presymptomatically, and viral shedding for up to 37 days, this thing could potentially be very difficult to sufficiently slow down. The virus could potentially be hanging around in communities not affected right now, or in cities seeing the spread slow, just waiting to cause another wave of cases. Like in Hong Kong for example.
So you can see why it's important to have accurate models, since those recommendations are based off models, and models are based off assumptions, which are based off data. The larger the sample, the more accurate the data, and the more accurate the data, the more accurate the assumptions/models.
Not to mention the antibody testing they are just starting to do now, which will tell us how exactly the virus attacks our bodies, who is more immune to the worst symptoms, and why that is. Which could hopefully lead to better treatments down the line as well as antibody injections.
The other important reason is for contact tracing. The more testing you do, especially early on, the better you can contain the spread. You can do a ton of surveillance to find the positives, then trace who they were in contact with, especially friends and family, and get them to quarantine themselves before spreading it further.
All of this has a big impact on the absolute numbers, which is why focusing on the models or the risk numbers are more reliable than the absolute number of cases or deaths right now to tell you how things are going.