Objective: To describe the spatio-temporal distribution of the COVID-19 in the city of Cali during the first month of the epidemic.

Methods: An exploratory analysis of spatial data was carried out, consisting of a kernel density analysis and the presence of spatial patterns was verified by the K-Ripley function.

Results: The spatial distribution of the cases tends to initially concentrate in the north and south of the city, with a changing dynamic towards the east and west.

Conclusions: The identified spatial pattern may be influenced by the isolation measures taken at the local and national level, but the effect of the low access of the general population to diagnostic tests, delays and restraints to know the results cannot be ruled out and even possible biases due to difficulties in the technique of taking the sample or its conservation.

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http://dx.doi.org/10.15446/rsap.V21n3.86431DOI Listing

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