Abstract
At the time of writing, the COVID-19 infection is spreading rapidly. Currently, there is no vaccine or treatment, and researchers around the world are attempting to fight the infection. In this paper, we consider a diagnosis method for COVID-19, which is characterized by a very rapid rate of infection and is widespread. A possible method for avoiding severe infections is to stop the spread of the infection in advance by the prompt and accurate diagnosis of 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 of false positives and negatives, we propose a robust algorithm (RA) based on the maximum a posteriori probability (MAP). The key idea of the proposed RA is to exploit iterative detection to propagate beliefs to neighbor nodes by exchanging marginal probabilities between input and output nodes. As a result, we show that our proposed RA provides the benefit of being robust against noise in the GT schemes. In addition, we demonstrate the performance of our proposal with a number of tests and successfully find a set of infected samples in both noiseless and noisy GT schemes with different COVID-19 incidence rates.
Highlights
The ability to test for COVID-19, which has been characterized as a rapid contagion, is still insufficient to meet global health needs
In this paper, we propose a robust algorithm (RA) and demonstrate its performance against noise, even if errors occur in the output results
We considered a diagnosis method for COVID-19, which has been characterized by a very rapid rate of infection and is widespread
Summary
The ability to test for COVID-19, which has been characterized as a rapid contagion, is still insufficient to meet global health needs. COVID-19 transmission occurs between individuals, becoming a greater threat when using public facilities such as hospitals, religious facilities, schools, military units, and cruise ships. COVID-19 causes diseases such as pneumonia and acute respiratory distress syndrome (ARDS), which have low mortality rates but can lead to death. Clinical and physical symptoms may include shortness of breath, fever, cough, anosmia and gastrointestinal symptoms. COVID-19 is characterized by a low mortality rate but a very contagious nature. The number of infected people is expected to continue to increase across developing countries
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