Currently, few research institutes and universities are working on this problem of detecting people affected with CoVID 19 in the vicinity using voice recognition models. But are there any alternate pathways? If yes, then what are they and how to make a data survey pertaining to each of them, so as to obtain some useful inferences?

In addition to this, it is not always feasible to detect such just by asking for personal details like whether the person has visited any foreign country, or whether he has come in contact with any CoVID 19 patient. So, given these limitations, can anyone please elaborate on the said matter?

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