ArticleEpidemiology and infection2015
Retrospective space-time analysis methods to support West Nile virus surveillance activities.
Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Hungary as a source of West Nile virus diversity and spread in Europe: insights from the 2024 transmission season.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- An integrated system for the management of environmental data to support veterinary epidemiology.Frontiers in veterinary science · 2023Article
- Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong.Transactions in GIS : TG · 2021Article
- The central role of Italy in the spatial spread of USUTU virus in Europe.Virus evolution · 2021Article
- Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States.Spatial and spatio-temporal epidemiology · 2020Article
- Spatiotemporal analyses of foot and mouth disease outbreaks in cattle farms in Chiang Mai and Lamphun, Thailand.BMC veterinary research · 2020Article
- Inter-annual variability of the effects of intrinsic and extrinsic drivers affecting West Nile virus vector Culex pipiens population dynamics in northeastern Italy.Parasites & vectors · 2020Article
- Detecting space-time clusters of dengue fever in Panama after adjusting for vector surveillance data.PLoS neglected tropical diseases · 2019Article
- West Nile Virus Surveillance in 2013 via Mosquito Screening in Northern Italy and the Influence of Weather on Virus Circulation.PloS one · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The steep increase in human West Nile virus (WNV) infections in 2011-2012 in north-eastern Italy prompted a refinement of the surveillance plan. Data from the 2010-2012 surveillance activities on mosquitoes, equines, and humans were analysed through Bernoulli space-time scan statistics, to detect the presence of recurrent WNV infection hotspots. Linear models were fit to detect the possible relationships between WNV occurrence in humans and its activity in mosquitoes. Clusters were detected for all of the hosts, defining a limited area on which to focus surveillance and promptly identify WNV reactivation. Positive relationships were identified between WNV in humans and in mosquitoes; although it was not possible to define precise spatial and temporal scales at which entomological surveillance could predict the increasing risk of human infections. This stresses the necessity to improve entomological surveillance by increasing both the density of trapping sites and the frequency of captures.
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