Location of Repository

Spatio-temporal patterns of distribution of West Nile virus vectors in eastern Piedmont Region, Italy

By Bisanzio Donal, Giacobini Mario, Bertolotti Luigi, Mosca Andrea, Balbo Luca, Kitron Uriel and Vazquez-Prokopec Gonzalo M

Abstract

<p>Abstract</p> <p>Background</p> <p>West Nile Virus (WNV) transmission in Italy was first reported in 1998 as an equine outbreak near the swamps of Padule di Fucecchio, Tuscany. No other cases were identified during the following decade until 2008, when horse and human outbreaks were reported in Emilia Romagna, North Italy. Since then, WNV outbreaks have occurred annually, spreading from their initial northern foci throughout the country. Following the outbreak in 1998 the Italian public health authority defined a surveillance plan to detect WNV circulation in birds, horses and mosquitoes. By applying spatial statistical analysis (spatial point pattern analysis) and models (Bayesian GLMM models) to a longitudinal dataset on the abundance of the three putative WNV vectors [<it>Ochlerotatus caspius </it>(Pallas 1771), <it>Culex pipiens </it>(Linnaeus 1758) and <it>Culex modestus </it>(Ficalbi 1890)] in eastern Piedmont, we quantified their abundance and distribution in space and time and generated prediction maps outlining the areas with the highest vector productivity and potential for WNV introduction and amplification.</p> <p>Results</p> <p>The highest abundance and significant spatial clusters of <it>Oc. caspius </it>and <it>Cx. modestus </it>were in proximity to rice fields, and for <it>Cx. pipiens</it>, in proximity to highly populated urban areas. The GLMM model showed the importance of weather conditions and environmental factors in predicting mosquito abundance. Distance from the preferential breeding sites and elevation were negatively associated with the number of collected mosquitoes. The Normalized Difference Vegetation Index (NDVI) was positively correlated with mosquito abundance in rice fields (<it>Oc. caspius </it>and <it>Cx. modestus</it>). Based on the best models, we developed prediction maps for the year 2010 outlining the areas where high abundance of vectors could favour the introduction and amplification of WNV.</p> <p>Conclusions</p> <p>Our findings provide useful information for surveillance activities aiming to identify locations where the potential for WNV introduction and local transmission are highest. Such information can be used by vector control offices to stratify control interventions in areas prone to the invasion of WNV and other mosquito-transmitted pathogens.</p

Topics: Microbiology, QR1-502, Science, Q, DOAJ:Microbiology, DOAJ:Biology, DOAJ:Biology and Life Sciences, Infectious and parasitic diseases, RC109-216, Internal medicine, RC31-1245, Medicine, R, DOAJ:Internal medicine, DOAJ:Medicine (General), DOAJ:Health Sciences
Publisher: BioMed Central
Year: 2011
DOI identifier: 10.1186/1756-3305-4-230
OAI identifier: oai:doaj.org/article:23094c05081b42e8be270959de5bd91f
Journal:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://doaj.org/toc/1756-3305 (external link)
  • http://www.parasitesandvectors... (external link)
  • https://doaj.org/article/23094... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.