Population scale testing is required.
We've harnessed and coordinate mass industrial manufacturing before. The world did it again during the development of the internet. And again to sequence the human genome. Each time the same pattern has been repeated: open sharing of information to standardise private industry. Collaborating around open designs, information and a common set of interoperable standards.
Even though this project is called CoronaOpenSource, the project still welcomes existing and new closed source implmentations for testing that are effective in increasing the global rate of affordable testing.
The US FDA EUA has allowed many new tests to reach the market in record time. The policy was tightened to require companies to submit validation data much earlier as a bad test is worse than no test.
The dashboard will help anyone understand the options and their tradeoffs:
After a conversation with Daniel Goodwin and Joi Ito, it's clear that interoperability is key for large scale testing. For example we have standards for:
But we don't have standards for:The interative version is based off of the Scalable SARS-CoV-2 Testing Strategies spreadsheet. Code. Collaborative doc.