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[SARS-coV-2 spatio - temporal analysis in Cali, Colombia]. / Análisis espacio-temporal del SARS-COV-2 en Cali, Colombia.
Cuartas, Daniel E; Arango-Londoño, David; Guzmán-Escarria, Gissel; Muñoz, Edgar; Caicedo, Diana; Ortega, Delia; Fandiño-Losada, Andrés; Mena, Jorge; Torres, Miyerlandi; Barrera, Lena; Méndez, Fabián.
  • Cuartas DE; DC: Geógrafo. Ph.D. Ciencias Ambientales. Universidad del Valle. Cali, Colombia. daniel.cuartas@correounivalle.edu.co.
  • Arango-Londoño D; DL: Estadístico. M.Sc. Economía Aplicada. Pontificia Universidad Javeriana Cali. Cali, Colombia. david.arango@javerianacali.edu.co.
  • Guzmán-Escarria G; GE: Geógrafa, Universidad del Valle. Cali, Colombia. gissel.guzman@correounivalle.edu.co.
  • Muñoz E; EM: Estadístico. M.Sc. Epidemiología, University of Texas Health Science Center at San Antonio, San Antonio, Estados Unidos. munoze@uthscsa.edu.co.
  • Caicedo D; DM: MD. M.Sc. Epidemiología. Pontificia Universidad Javeriana Cali. Cali, Colombia. diana.caicedob@javerianacali.edu.co.
  • Ortega D; DO: Estadística. M.Sc. Epidemiología. Pontificia Universidad Javeriana Cali. Cali, Colombia. delia.ortega@javerianacali.edu.co.
  • Fandiño-Losada A; AF: MD. Ph.D. Health Sciences. Universidad del Valle. Cali, Colombia. carlos.fandino@correounivalle.edu.co.
  • Mena J; JM: MD. M. Sc. Epidemiología. Secretaría de Salud Pública Municipal de Cali. Cali, Colombia. jorgehmena@gmail.com.
  • Torres M; MT: Bacterióloga. M.Sc. Ciencias Básicas Biomédicas, Secretaría de Salud Pública Municipal de Cali, Cali, Colombia. miyertorres@hotmail.com.
  • Barrera L; LB: MD. Ph.D. Epidemiology. Universidad del Valle. Cali, Colombia. lena.i.barrera@correounivalle.edu.co.
  • Méndez F; FM: MD. Ph.D Epidemiología. Universidad del Valle. Cali, Colombia. fabian.mendez@correounivalle.edu.co.
Rev Salud Publica (Bogota) ; 22(2): 138-143, 2020 03 01.
Article in Spanish | MEDLINE | ID: covidwho-2293742
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: South America / Colombia Language: Spanish Journal: Rev Salud Publica (Bogota) Journal subject: Public Health Year: 2020 Document Type: Article Affiliation country: Rsap.V21n3.86431

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: South America / Colombia Language: Spanish Journal: Rev Salud Publica (Bogota) Journal subject: Public Health Year: 2020 Document Type: Article Affiliation country: Rsap.V21n3.86431