GEO-ZTONLINE.IT: the Web-based GIS evolution supporting vector-borne diseases health risk assessment

CAA Centro Agricoltura Ambiente > Posters e Relazioni > Entomologia e Zoologia Sanitarie > GEO-ZTONLINE.IT: the Web-based GIS evolution supporting vector-borne diseases health risk assessment

Albieri A, R Bellini, P Angelini , C Venturelli, L Colò, G Ciardi

7th International SOVE Congress,
1-7 October 2017, Palma de Mallorca, Spain

From 2014 a Web-Based Geographic Information System (Web-GIS) that enable storage and processing of spatial monitoring and public health data was adopted in the frame of the Aedes albopictus management of Emilia-Romagna Region, Italy. GEO-ZTONLINE.IT was developed using the regional Content Management System (CMS) Moka (www.mokagis.it) based on ArcGIS Server technology in particular the Flex framework that allows to create very productive applications in Flash technology. The Web-GIS allow the following base functions: supporting the geo-location of human cases (suspected and confirmed) of Chikungunya (CHIKV), Dengue (DENV) and Zika (ZIKV) viruses in the regional updated topographic  geo-database,  human cases data entry by specific form, interfacing with Aedes albopictus regional monitoring data (ovitraps), printing function, measures function, interactive navigation in the map, automatic extraction of premises to be treated around suspected human cases (following the regional protocol) for aiding professionals and human care decision-makers control and surveillance of CHIKV, DENV and ZIKV. From January 2017, GEO-ZTONLINE.IT was enriched with functions and layers useful for health risk assessment: time slider for animate the spatio-temporal progression of possible outbreaks, hot spots layer of imported human cases obtained from KDE (Kernel Density Estimation) interpolation of all human cases from 2010 to 2016 and hot spots layer of relative high density of Ae. albopictus in 20 large towns (inhabited area > 550 ha) obtained from geostatistical analysis of ovitraps data from 2014 to 2016. Hot spots layer of Ae. albopcistus density will be also used to address appropriate economic resources for mosquito control activities.

 

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