@article{29912,
  keywords = {NTDs, Zika virus (ZIKV), Geographical information systems (GIS), Public health, Travelers, Colombia, Latin America},
  author = {Rodríguez-Morales AJ and Ruiz P and Tabares J and Ossa CA and Yepes-Echeverry MC and Ramirez-Jaramillo V and Galindo-Marquez ML and García-Loaiza CJ and Sabogal-Roman JA and Parra-Valencia E and Lagos-Grisales GJ and Lozada-Riascos C and Pijper CA and Grobusch M},
  title = {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.},
  abstract = {<h4><strong>Objective </strong>Geographical information systems (GIS) have been demonstrated earlier to be of great use to inform public health action against vector-borne infectious diseases.<br />
<strong>Methods </strong>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.<br />
<strong>Results </strong>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<sup>2</sup>&nbsp;&gt;&nbsp;0.25; p&nbsp;&lt;&nbsp;0.05).<br />
<strong>Conclusions </strong>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.</h4>
},
  year = {2017},
  journal = {Travel medicine and infectious disease},
  issn = {14778939},
  url = {http://www.sciencedirect.com/science/article/pii/S1477893917300753},
  doi = {10.1016/j.tmaid.2017.05.004},
  language = {eng},
}