Abstract

ENRIQUE HEVIA, Frank Michel  and  PENA ALVAREZ, Marlys. Statistical monitoring and control tools for infectious diseases: Case of COVID-19 in Cuba. RCIM [online]. 2021, vol.13, n.2  Epub Nov 15, 2021. ISSN 1684-1859.

In the control of infectious diseases it is essential to use epidemiological models; however, there are tools that allow monitoring and statistical control of the transmission of this type of disease over time. The objective of this research work was to provide an analysis of the daily dynamics of COVID-19 transmission in Cuba through two control charts, based on a probabilistic model based on the binomial and Poisson distributions. The two methods were applied, using the daily reports published by the Ministry of Public Health, to a process whose variable under study is attributes type and with little information on its stability. The applied charts were key to improve the stability of the process, insofar as they were detected, identified and suggested the elimination of special causes to reduce the variation; and in monitoring to ensure that the improvements to be generated can be preserved.

Keywords : statistical control; control charts; attributes; covid-19.

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