Related Experiment Video
Updated: Aug 11, 2025

Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP
Published on: September 8, 2023
[SARS-coV-2 spatio - temporal analysis in Cali, Colombia]
Daniel E Cuartas1, David Arango-Londoño2, Gissel Guzmán-Escarria3
1DC: Geógrafo. Ph.D. Ciencias Ambientales. Universidad del Valle. Cali, Colombia. daniel.cuartas@correounivalle.edu.co.
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.
More Related Videos
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Steps in Outbreak Investigation
Causality in Epidemiology
Principles of Disease Surveillance
Single Nucleotide Polymorphisms-SNPs
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

