Mapping the ecoepidemiology of Zika virus infection in urban and rural areas of Pereira, Risaralda, Colombia, 2015-2016: Implications for public health and travel medicine.

Autor: Rodriguez-Morales AJ; 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., Ruiz P; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia., Tabares J; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia., Ossa CA; Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia., Yepes-Echeverry MC; Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia., Ramirez-Jaramillo V; Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia., Galindo-Marquez ML; Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia., García-Loaiza CJ; Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia., Sabogal-Roman JA; Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia., Parra-Valencia E; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile., Lagos-Grisales GJ; 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., Lozada-Riascos CO; 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., de Pijper CA; Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, The Netherlands., Grobusch MP; 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.
Jazyk: angličtina
Zdroj: Travel medicine and infectious disease [Travel Med Infect Dis] 2017 Jul - Aug; Vol. 18, pp. 57-66. Date of Electronic Publication: 2017 May 06.
DOI: 10.1016/j.tmaid.2017.05.004
Abstrakt: 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 (r 2  > 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.
(Copyright © 2017 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE