search
Include:
1 Research products, page 1 of 1

Relevance
arrow_drop_down
  • Publication . Conference object . Preprint . Article . 2021
    Open Access English
    Authors: 
    Muhammad Umar B Niazi; Alain Kibangou; Carlos Canudas de Wit; Denis Nikitin; Liudmila Tumash; Pierre-Alexandre Bliman;
    Publisher: HAL CCSD
    Country: France
    Project: EC | Scale-FreeBack (694209)

    Testing is a crucial control mechanism for an epidemic outbreak because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease transmission to susceptible people, when no effective treatment or vaccine is available. In this paper, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model distinguishes between the undetected infected and the detected infected cases with the latter assumed to be isolated from the disease spreading process in the population. Two testing policies, effective during the onset of an epidemic when no treatment or vaccine is available, are devised: (i) best-effort strategy for testing (BEST) and (ii) constant optimal strategy for testing (COST). The BEST is a suppression policy that provides a lower bound on the testing rate to stop the growth of the epidemic. The COST is a mitigation policy that minimizes the peak of the epidemic by providing a constant, optimal allocation of tests in a certain time interval when the total stockpile of tests is limited. Both testing policies are evaluated by their impact on the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19 in France. Comment: arXiv admin note: substantial text overlap with arXiv:2010.15438

Include:
1 Research products, page 1 of 1
  • Publication . Conference object . Preprint . Article . 2021
    Open Access English
    Authors: 
    Muhammad Umar B Niazi; Alain Kibangou; Carlos Canudas de Wit; Denis Nikitin; Liudmila Tumash; Pierre-Alexandre Bliman;
    Publisher: HAL CCSD
    Country: France
    Project: EC | Scale-FreeBack (694209)

    Testing is a crucial control mechanism for an epidemic outbreak because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease transmission to susceptible people, when no effective treatment or vaccine is available. In this paper, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model distinguishes between the undetected infected and the detected infected cases with the latter assumed to be isolated from the disease spreading process in the population. Two testing policies, effective during the onset of an epidemic when no treatment or vaccine is available, are devised: (i) best-effort strategy for testing (BEST) and (ii) constant optimal strategy for testing (COST). The BEST is a suppression policy that provides a lower bound on the testing rate to stop the growth of the epidemic. The COST is a mitigation policy that minimizes the peak of the epidemic by providing a constant, optimal allocation of tests in a certain time interval when the total stockpile of tests is limited. Both testing policies are evaluated by their impact on the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19 in France. Comment: arXiv admin note: substantial text overlap with arXiv:2010.15438

Send a message
How can we help?
We usually respond in a few hours.