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Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016

Objective: Geographical information systems (GIS) have been extensively used for the development of epidemiological maps of tropical diseases, however not yet specifically for Zika virus (ZIKV) infection. Methods: Surveillance case data of the ongoing epidemics of ZIKV in the Tolima department, Colo...

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Autores principales: Rodriguez-Morales, Alfonso J., Galindo-Marquez, Maria Leonor, García-Loaiza, Carlos Julian, Sabogal-Roman, Juan Alejandro, Marin-Loaiza, Santiago, Ayala, Andrés Felipe, Lozada-Riascos, Carlos O., Sarmiento-Ospina, Andrea, Vásquez-Serna, Heriberto, Jimenez-Canizales, Carlos E., Escalera-Antezana, Juan Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837980/
https://www.ncbi.nlm.nih.gov/pubmed/27134732
http://dx.doi.org/10.12688/f1000research.8436.1
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author Rodriguez-Morales, Alfonso J.
Galindo-Marquez, Maria Leonor
García-Loaiza, Carlos Julian
Sabogal-Roman, Juan Alejandro
Marin-Loaiza, Santiago
Ayala, Andrés Felipe
Lozada-Riascos, Carlos O.
Sarmiento-Ospina, Andrea
Vásquez-Serna, Heriberto
Jimenez-Canizales, Carlos E.
Escalera-Antezana, Juan Pablo
author_facet Rodriguez-Morales, Alfonso J.
Galindo-Marquez, Maria Leonor
García-Loaiza, Carlos Julian
Sabogal-Roman, Juan Alejandro
Marin-Loaiza, Santiago
Ayala, Andrés Felipe
Lozada-Riascos, Carlos O.
Sarmiento-Ospina, Andrea
Vásquez-Serna, Heriberto
Jimenez-Canizales, Carlos E.
Escalera-Antezana, Juan Pablo
author_sort Rodriguez-Morales, Alfonso J.
collection PubMed
description Objective: Geographical information systems (GIS) have been extensively used for the development of epidemiological maps of tropical diseases, however not yet specifically for Zika virus (ZIKV) infection. Methods: Surveillance case data of the ongoing epidemics of ZIKV in the Tolima department, Colombia (2015-2016) were used to estimate cumulative incidence rates (cases/100,000 pop.) to develop the first maps in the department and its municipalities, including detail for the capital, Ibagué. The GIS software used was Kosmo Desktop 3.0RC1®. Two thematic maps were developed according to municipality and communes incidence rates. Results: Up to March 5, 2016, 4,094 cases of ZIKV were reported in Tolima, for cumulated rates of 289.9 cases/100,000 pop. (7.95% of the country). Burden of ZIKV infection has been concentrated in its east area, where municipalities have reported >500 cases/100,000 pop. These municipalities are bordered by two other departments, Cundinamarca (3,778 cases) and Huila (5,338 cases), which also have high incidences of ZIKV infection. Seven municipalities of Tolima ranged from 250-499.99 cases/100,000 pop., of this group five border with high incidence municipalities (>250), including the capital, where almost half of the reported cases of ZIKV in Tolima are concentrated. Conclusions: Use of GIS-based epidemiological maps helps to  guide decisions for the prevention and control of diseases that represent significant issues in the region and the country, but also in emerging conditions such as ZIKV.
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spelling pubmed-48379802016-04-29 Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016 Rodriguez-Morales, Alfonso J. Galindo-Marquez, Maria Leonor García-Loaiza, Carlos Julian Sabogal-Roman, Juan Alejandro Marin-Loaiza, Santiago Ayala, Andrés Felipe Lozada-Riascos, Carlos O. Sarmiento-Ospina, Andrea Vásquez-Serna, Heriberto Jimenez-Canizales, Carlos E. Escalera-Antezana, Juan Pablo F1000Res Research Note Objective: Geographical information systems (GIS) have been extensively used for the development of epidemiological maps of tropical diseases, however not yet specifically for Zika virus (ZIKV) infection. Methods: Surveillance case data of the ongoing epidemics of ZIKV in the Tolima department, Colombia (2015-2016) were used to estimate cumulative incidence rates (cases/100,000 pop.) to develop the first maps in the department and its municipalities, including detail for the capital, Ibagué. The GIS software used was Kosmo Desktop 3.0RC1®. Two thematic maps were developed according to municipality and communes incidence rates. Results: Up to March 5, 2016, 4,094 cases of ZIKV were reported in Tolima, for cumulated rates of 289.9 cases/100,000 pop. (7.95% of the country). Burden of ZIKV infection has been concentrated in its east area, where municipalities have reported >500 cases/100,000 pop. These municipalities are bordered by two other departments, Cundinamarca (3,778 cases) and Huila (5,338 cases), which also have high incidences of ZIKV infection. Seven municipalities of Tolima ranged from 250-499.99 cases/100,000 pop., of this group five border with high incidence municipalities (>250), including the capital, where almost half of the reported cases of ZIKV in Tolima are concentrated. Conclusions: Use of GIS-based epidemiological maps helps to  guide decisions for the prevention and control of diseases that represent significant issues in the region and the country, but also in emerging conditions such as ZIKV. F1000Research 2016-04-05 /pmc/articles/PMC4837980/ /pubmed/27134732 http://dx.doi.org/10.12688/f1000research.8436.1 Text en Copyright: © 2016 Rodriguez-Morales AJ et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.
spellingShingle Research Note
Rodriguez-Morales, Alfonso J.
Galindo-Marquez, Maria Leonor
García-Loaiza, Carlos Julian
Sabogal-Roman, Juan Alejandro
Marin-Loaiza, Santiago
Ayala, Andrés Felipe
Lozada-Riascos, Carlos O.
Sarmiento-Ospina, Andrea
Vásquez-Serna, Heriberto
Jimenez-Canizales, Carlos E.
Escalera-Antezana, Juan Pablo
Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title_full Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title_fullStr Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title_full_unstemmed Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title_short Mapping Zika virus infection using geographical information systems in Tolima, Colombia, 2015-2016
title_sort mapping zika virus infection using geographical information systems in tolima, colombia, 2015-2016
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837980/
https://www.ncbi.nlm.nih.gov/pubmed/27134732
http://dx.doi.org/10.12688/f1000research.8436.1
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