I worked in the chemical industry. Some processes only worked on a relatively small scale. They were optimized by scaling-up the number of individual processes, rather than making the "vessel" larger. The output of the individual reactions was then combined and fed to one large downstream process.
Let's say we had 50 mini-processes feeding one large downstream process, we sampled the "composite" fluid from the mini-processes first. If we were out of specification, we then started sampling the 50 individual processes to find the culprit.
Why couldn't this be done for C-19 testing?
Let's say you had 20 employees at a healthcare facility. Could you get a daily composite sample and run one test for all employees? Then more testing if it's positive.
Seems this could work to also reduce lab testing in general. If you know the positive rate is say 1/20 test for a group of people, combine say 8 samples. Test composite and if positive, break it down to two sets of 4, and so on.
Sure, there's statistical optimization, but I'm just trying to suggest a process.
Sample size and lab equipment sensitivity are limiting factors, but it seems it would help the impossible "test everybody, everyday" issue realistically.
Again healthcare facilities would be the primary target to get "daily" testing of all employees in contact with patients.
PS: Thought about this about a month ago, when one of daily news conferences mentioned potentially testing wastewater discharge from a building.
Let's say we had 50 mini-processes feeding one large downstream process, we sampled the "composite" fluid from the mini-processes first. If we were out of specification, we then started sampling the 50 individual processes to find the culprit.
Why couldn't this be done for C-19 testing?
Let's say you had 20 employees at a healthcare facility. Could you get a daily composite sample and run one test for all employees? Then more testing if it's positive.
Seems this could work to also reduce lab testing in general. If you know the positive rate is say 1/20 test for a group of people, combine say 8 samples. Test composite and if positive, break it down to two sets of 4, and so on.
Sure, there's statistical optimization, but I'm just trying to suggest a process.
Sample size and lab equipment sensitivity are limiting factors, but it seems it would help the impossible "test everybody, everyday" issue realistically.
Again healthcare facilities would be the primary target to get "daily" testing of all employees in contact with patients.
PS: Thought about this about a month ago, when one of daily news conferences mentioned potentially testing wastewater discharge from a building.