Alfonso J Rodriguez-Morales1, Pablo Ruiz2, Javier Tabares2, Carlos Augusto Ossa3, Maria Camila Yepes-Echeverry4, Valeria Ramirez-Jaramillo4, Maria Leonor Galindo-Marquez4, Carlos Julian García-Loaiza4, Juan Alejandro Sabogal-Roman4, Esteban Parra-Valencia5, Guillermo J Lagos-Grisales6, Carlos O Lozada-Riascos7, Cornelis A de Pijper8, Martin P Grobusch9. 1. Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia; Committee on Travel Medicine, Asociación Panamericana de Infectología, Quito, Ecuador; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia. Electronic address: arodriguezm@utp.edu.co. 2. Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia. 3. Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia. 4. Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia. 5. Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile. 6. Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia. 7. Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Regional Information System, Universidad Tecnológica de Pereira, Pereira, Risaralda, Colombia. 8. Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, The Netherlands. 9. Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, The Netherlands.
Abstract
OBJECTIVE: Geographical information systems (GIS) have been demonstrated earlier to be of great use to inform public health action against vector-borne infectious diseases. METHODS: Using surveillance data on the ongoing ZIKV outbreak from Pereira, Colombia (2015-2016), we estimated incidence rates (cases/100,000 population), and developed maps correlating with the ecoepidemiology of the area. RESULTS: Up to October 8, 2016, 439 cases of ZIKV were reported in Pereira (93 cases/100,000 pop.), with highest rates in the South-West area. At the corregiments (sub-municipalities) of Pereira, Caimalito presented the highest rate. An urban area, Cuba, has 169 cases/100,000 pop., with a low economical level and the highest Aedic index (9.1%). Entomological indexes were associated with ZIKV incidence at simple and multiple non-linear regressions (r2 > 0.25; p < 0.05). CONCLUSIONS: Combining entomological, environmental, human population density, travel patterns and case data of vector-borne infections, such as ZIKV, leads to a valuable tool that can be used to pinpoint hotspots also for infections such as dengue, chikungunya and malaria. Such a tool is key to planning mosquito control and the prevention of mosquito-borne diseases in local populations. Such data also enable microepidemiology and the prediction of risk for travelers who visit specific areas in a destination country.
OBJECTIVE: Geographical information systems (GIS) have been demonstrated earlier to be of great use to inform public health action against vector-borne infectious diseases. METHODS: Using surveillance data on the ongoing ZIKV outbreak from Pereira, Colombia (2015-2016), we estimated incidence rates (cases/100,000 population), and developed maps correlating with the ecoepidemiology of the area. RESULTS: Up to October 8, 2016, 439 cases of ZIKV were reported in Pereira (93 cases/100,000 pop.), with highest rates in the South-West area. At the corregiments (sub-municipalities) of Pereira, Caimalito presented the highest rate. An urban area, Cuba, has 169 cases/100,000 pop., with a low economical level and the highest Aedic index (9.1%). Entomological indexes were associated with ZIKV incidence at simple and multiple non-linear regressions (r2 > 0.25; p < 0.05). CONCLUSIONS: Combining entomological, environmental, human population density, travel patterns and case data of vector-borne infections, such as ZIKV, leads to a valuable tool that can be used to pinpoint hotspots also for infections such as dengue, chikungunya and malaria. Such a tool is key to planning mosquito control and the prevention of mosquito-borne diseases in local populations. Such data also enable microepidemiology and the prediction of risk for travelers who visit specific areas in a destination country.
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