TY - JOUR
T1 - Análisis espacio-temporal del SARS-COV-2 en Cali, Colombia
AU - Cuartas, Daniel E.
AU - Arango-Londoño, David
AU - Guzmán-Escarria, Gissel
AU - Muñoz, Edgar
AU - Caicedo, Diana
AU - Ortega, Delia
AU - Fandiño-Losada, Andrés
AU - Mena, Jorge
AU - Torres, Miyerlandi
AU - Barrera, Lena
AU - Méndez, Fabián
N1 - Publisher Copyright:
© 2020, Universidad Nacional de Colombia. All rights reserved.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
KW - COVID-19 virus
KW - Coronavirus infections
KW - Medical geography (source: MeSH, NLM)
KW - SARS-CoV-2
KW - Spatial analysis
UR - http://www.scopus.com/inward/record.url?scp=85147783206&partnerID=8YFLogxK
U2 - 10.15446/rsap.V22n2.86431
DO - 10.15446/rsap.V22n2.86431
M3 - Artículo
C2 - 36753102
AN - SCOPUS:85085691550
SN - 0124-0064
VL - 22
SP - 138
EP - 143
JO - Revista de Salud Publica
JF - Revista de Salud Publica
IS - 2
ER -