The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.
Jul 26, 2023 · We present an adaptive group testing (AGT) strategy based on graph partitioning, which divides a physical contact network into subgraphs (groups of individuals)
The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19. Keywords—COVID-19, Infection ...
A grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed and can help medical institutions ...
If an rRT-PCR test gets a positive result, then the corresponding individual is infected with COVID-19; otherwise, this individual is not infected with COVID-19 ...
To this end, we exploit a group testing (GT) scheme, which is used to find a small set of confirmed cases out of a large population. For the accurate detection ...
Aug 2, 2022 · We develop a method to optimize Dorfman pooling depending on disease prevalence and establish an adaptive strategy to select variable pool sizes ...
Motivated by diseases such as COVID-19, we proposed a network infection model to capture how certain diseases are introduced into a population and subsequently ...
Feb 28, 2022 · Group testing allows saving chemical reagents, analysis time, and costs, by testing pools of samples instead of individual samples.
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Aug 1, 2022 · We develop a compartmental model to study the applicability of this method and compare different pooling strategies: regular and Dorfman pooling ...
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