Abstract

DURAN MORERA, Noira  and  BOTELLO RAMIREZ, Emilia. Detection of emerging "active" clusters with high incidence rates, for rapid surveillance of COVID-19. Medicentro Electrónica [online]. 2020, vol.24, n.3, pp.642-655.  Epub July 01, 2020. ISSN 1029-3043.

Medical geography has been applied within the framework of the government management and the available scientific potential, with the aim of finding the best answers to COVID-19. Geographical research, based on the monitoring and control of the current pandemic, becomes a global trend. Kulldorff's method, is among the procedures used, the spatial analysis methodology implemented for rapid surveillance of the disease. In Cuba, there is experience of its use, but not for this purpose. This research shows the implementation of a prospective spatio-temporal analysis, with data from cases confirmed daily with COVID-19 in Villa Clara province, which results in the detection of emerging "active" conglomerates with high incidence rates of the illness. This resource can provide guiding information for actions aimed at containing future outbreaks of the disease in our country.

Keywords : cluster sampling; epidemiological monitoring; coronavirus infections/epidemiology.

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