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

• Published in: F1000 research Vol. 5; p. 568
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: England Faculty of 1000 Ltd 2016; F1000Research; F1000 Research Ltd
• Subjects: Research Note; Tropical & Travel-Associated Diseases; Virology; Colombia; epidemiology; public health; travelers; Latin America; Zika
• ISSN: 2046-1402; 2046-1402
• DOI: 10.12688/f1000research.8436.1

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. 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. 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. 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.