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

  • ,
  • Maria Leonor Galindo-Marquez
    ,
  • Carlos Julian García-Loaiza
    ,
  • Juan Alejandro Sabogal-Roman
    ,
  • Santiago Marin-Loaiza
    ,
  • Andrés Felipe Ayala
  • Universidad Tecnológica de Pereira
    ,
  • Colombian Collaborative Network on Zika and other Arboviruses (RECOLZIKA)
    ,
  • Organización Latinoamericana para el Fomento de la Investigación en Salud (OLFIS)
    ,
  • Secretary of Health of Ibague
    ,
  • Secretary of Health of Tolima
    ,
  • Tongji Medical College of Huazhong University of Science and Technology
Research Output:
Contribution to journal
Article
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Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

568

Journal (Volume, Issue Number)

F1000Research (Volume 5)

Publication milestones

  • Published - 2016

Publication status

Published - 2016

ISSN

2046-1402

Publication IDs

  • Scopus: 84969611235

Abstract

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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