In Disaster medicine and public health preparedness
Donald O. Besong has already documented that the online registration of unsupervised lateral flow test results poses concerns in the case of a serious pandemic where there are not enough medics to read scans or watch videos of candidates' results . Scanning or videorecording requires a high number of available medics  in an adverse pandemic scenario. In the above paper , an artificial intelligence (AI) interface with image recognition was suggested as a method to prevent cheating during the online registration of unsupervised test results. The second solution suggested was a method that obscures the meaning of the result the candidate reads from their test device so that a software interface can resolve that from a database . This is an entirely new method.In this paper, the latter (entirely new) method is proposed and described in detail. Precisely, this simple but new method is all about blinding the test strips so that the candidate does not know what the face values signify. The software then connects to a database of unique strip identification numbers to determine the test result when the candidate or patient registers their results. Both strip number and the value of their test must be entered to register results. This method has never been proposed or implemented. The technique will be described in detail.
Besong Donald O
COVID misinformation, COVID software, antifraud COVID testing, blinded strip technique for unsupervised tests, online cheating; registration of lateral flow test results