Abstract:

Identification of the characteristics that are effective in the emergence of diseases that affect public health contributes to a better understanding and control of diseases. The space where an event occurred can provide some indication of why that event occurred. There are specific statistical tests to analyze the space and time of diseases. For the last 20 years, space and space-time screening statistics have been widely used for the identification and evaluation of disease clusters and disease surveillance. Space and space-time analysis examine the causes and consequences of spatial and temporal variation in disease risk or incidence in infectious diseases, particularly zoonoses. In this review, information about the Space-Time Permutation Model and the SaTScan software, which is a spatial scanning statistic that is widely used in the detection of disease clusters with more cases than expected in space and/or time, has been brought together.

Keywords: