A new pool control method for Boolean compressed sensing based adaptive group testing

Yujia, Lu; Hayashi, Kazunori

doi:10.1109/apsipa.2017.8282168

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Our Pool Testing Methods1

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2021

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“…Multistep methods like Dorfman pooling and its variants tend to increase the logistic complexity and require multiple rounds of testing. Combinatorial ideas which use compressed sensing [7,8] and encoding methods [9], increase computation along with other difficulties in their practical realization (Additional logistic or technical training). Furthermore, these methods are constrained by bounds on prevalence, inherent false positive and false negative rate of the testing process.…”

Section: Our Pool Testing Methodsmentioning

confidence: 99%

Testing the efficacy of epidemic testing

Dheeshjith¹,

Enaganti²,

Mishra³

2021

Preprint

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The cataclysmic contagion based calamity -Covid-19 has shown us a clear need for a comprehensive community based strategy that overcomes the sheer complexity of controlling it and the caveats of current methods. In this regard, as seen in earlier epidemics, testing has always been an integral part of containment policy. But one has to consider the optimality of a testing scheme based on the resultant disease spread in the community and not based on purely increasing testing efficiency. Therefore, taking a decision is no easy feat and must consider the community utility constrained by its priorities, budget, risks, collateral and abilities which can be encoded into the optimization of the strategy. We thus propose a simple pooling strategy that is easy to customize and practical to implement, unlike other complex and computationally intensive methods.

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Section: Our Pool Testing Methodsmentioning

confidence: 99%