In this paper, we subedit a search for a randomly moving Coronavirus (COVID-19) among a finite set of different states. We use a monitoring system to search for COVID-19 which is hidden in one of the n cells of the respiratory system in the human body in each fixed number of time intervals m. The expected rescue time of the patient and detecting COVID-19 has been obtained. Also, we extend the results and obtain the total optimal expected search time of COVID-19. The optimal search strategy is derived suing a dynamic programming algorithm. An illustrative real life example introduced to clear the applicability of this model.
Digital Object Identifier (DOI)
A. M. Teamah, A.; A. Afifi, W.; Gani Dar, Javid; Al-Aziz Hosni El-Bagoury, Abd; and Naji Al-Aziz, Sndus
"Optimal Discrete Search for a Randomly Moving COVID19,"
Journal of Statistics Applications & Probability: Vol. 9:
3, Article 4.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol9/iss3/4