Publications by authors named "Daniela Cioci"

Article Synopsis
  • The study investigates the potential distribution of a mosquito species known for spreading vector-borne diseases in central Italy using a combination of entomological data and satellite imagery from Sentinel-2.
  • Three predictive models were utilized: a baseline deep convolutional neural network (DCNN) for environmental conditions at the time of collection, a multitemporal model analyzing conditions over the past two months, and a MultiAdjacency Graph Attention Network (MAGAT) model that considers spatial and climatic relationships.
  • Results showed that the baseline model had a high F1 score of 75.8%, which improved to 81.4% with the multitemporal model and reached 80.9% with the MAGAT model, confirming the widespread presence of the mosquito
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Background: Nowadays there is a worldwide consensus on the importance of conducting wildlife disease surveillance. Indeed, 60% of emerging infectious diseases are zoonotic in nature, and the majority of these (71.8%) originate in wildlife.

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Article Synopsis
  • - In 2019, a study was conducted in Abruzzo and Molise, Italy, to identify local mosquito species and understand the distribution of potential disease vectors based on a previous ecoregion classification.
  • - From 2019 to 2021, researchers monitored mosquitoes for two viruses, West Nile virus (WNV) and Usutu virus (USUV), collecting and testing mosquito samples via Real-time PCR; all 3046 pools tested negative for WNV.
  • - USUV was found in several mosquito pools, indicating an enzootic cycle maintained by species like Culex pipiens s.l. and Aedes caspius, highlighting the importance of ecoregions in identifying areas at higher risk for
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Fipronil is an insecticide which is not approved for use in any food-producing animal species in the European Union (EU). However, the inappropriate use of fipronil in mites' disinfestation products utilized in poultry farms in the Netherlands and other EU countries in 2017, led to the detection of residues of this pesticide in eggs across Europe. In Italy, a national monitoring plan was established to verify the possible misuse of fipronil in Italian laying hens.

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The Istituti Zooprofilattici Sperimentali (IZSs) are public health institutes dealing with the aetiology and pathogenesis of infectious diseases of domestic and wild animals. During Coronavirus Disease 2019 epidemic, the Italian Ministry of Health appointed the IZSs to carry out diagnostic tests for the detection of SARS-CoV-2 in human samples. In particular, the IZS of Abruzzo and Molise (IZS-Teramo) was involved in the diagnosis of SARS-CoV-2 through testing nasopharyngeal swabs by Real Time RT-PCR.

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Background: In 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.

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The Arbo‑zoonet Information System has been developed as part of the 'International Network for Capacity Building for the Control of Emerging Viral Vector Borne Zoonotic Diseases (Arbo‑zoonet)' project. The project aims to create common knowledge, sharing data, expertise, experiences, and scientific information on West Nile Disease (WND), Crimean‑Congo haemorrhagic fever (CCHF), and Rift Valley fever (RVF). These arthropod‑borne diseases of domestic and wild animals can affect humans, posing great threat to public health.

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