Abstract

BackgroundIn the last decades an increasing number of West Nile Disease cases was observed in equines and humans in the Mediterranean basin and surveillance systems are set up in numerous countries to manage and control the disease. The collection, storage and distribution of information on the spread of the disease becomes important for a shared intervention and control strategy. To this end, a Web Geographic Information System has been developed and disease data, climatic and environmental remote sensed data, full genome sequences of selected isolated strains are made available. This paper describes the Disease Monitoring Dashboard (DMD) web system application, the tools available for the preliminary analysis on climatic and environmental factors and the other interactive tools for epidemiological analysis.MethodsWNV occurrence data are collected from multiple official and unofficial sources. Whole genome sequences and metadata of WNV strains are retrieved from public databases or generated in the framework of the Italian surveillance activities. Climatic and environmental data are provided by NASA website. The Geographical Information System is composed by Oracle 10g Database and ESRI ArcGIS Server 10.03; the web mapping client application is developed with the ArcGIS API for Javascript and Phylocanvas library to facilitate and optimize the mash-up approach. ESRI ArcSDE 10.1 has been used to store spatial data.ResultsThe DMD application is accessible through a generic web browser at https://netmed.izs.it/networkMediterraneo/. The system collects data through on-line forms and automated procedures and visualizes data as interactive graphs, maps and tables. The spatial and temporal dynamic visualization of disease events is managed by a time slider that returns results on both map and epidemiological curve. Climatic and environmental data can be associated to cases through python procedures and downloaded as Excel files.ConclusionsThe system compiles multiple datasets through user-friendly web tools; it integrates entomological, veterinary and human surveillance, molecular information on pathogens and environmental and climatic data. The principal result of the DMD development is the transfer and dissemination of knowledge and technologies to develop strategies for integrated prevention and control measures of animal and human diseases.

Highlights

  • Lara Savini*, Susanna Tora, Alessio Di Lorenzo, Daniela Cioci, Federica Monaco, Andrea Polci, Massimiliano Orsini, Paolo Calistri, Annamaria Conte

  • This paper describes the Disease Monitoring Dashboard (DMD) web system application, the tools available for the preliminary analysis on climatic and environmental factors and the other interactive tools for epidemiological analysis

  • West Nile virus (WNV) has been circulating in the Mediterranean basin at least since the 1960s, but no large outbreak of WNV infection was reported until the 1996 epidemic in Bucharest

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Summary

Methods

Whole genome sequences and metadata of WNV strains are retrieved from public databases or generated in the framework of the Italian surveillance activities. The DMD database integrates disease information, genomic sequences and climatic-environmental data (Fig 1), collected from different sources: 1. 2. Whole genome sequences and metadata of WNV strains are retrieved from public databases (e.g. strains from Italy, Austria, Spain, Serbia, Hungary, Czech Republic, Greece, Morocco, Israel and Russia) or generated in the framework of the Italian surveillance activities [16]. Metadata such as host, country of isolation and date of collection, derived from their corresponding genebank files, were merged to the sequences fasta header by an in-house developed python script. A collection of python scripts to download sequences and their metadata, merging them, running the alignment and the tree building and reformatting tree for the web, were inhouse developed

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