A5036281933- Animal Disease Management and Epidemiology
- Vector-Borne Animal Diseases
- Zoonotic diseases and public health
- Viral Infections and Vectors
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Agriculture and Farm Safety
- Microbial infections and disease research
- Animal Behavior and Welfare Studies
- Brucella: diagnosis, epidemiology, treatment
- Prion Diseases and Protein Misfolding
- Complex Network Analysis Techniques
- Wildlife Ecology and Conservation
- Mosquito-borne diseases and control
- Species Distribution and Climate Change
- Influenza Virus Research Studies
- Viral Infections and Immunology Research
- Fire effects on ecosystems
- Odor and Emission Control Technologies
- SARS-CoV-2 detection and testing
- Evolutionary Game Theory and Cooperation
- Myxozoan Parasites in Aquatic Species
- Viral Infections and Outbreaks Research
- Food Supply Chain Traceability
- Insect Resistance and Genetics
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise G. Caporale
2015-2025
Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche
2019
Despite their importance for the spread of zoonotic diseases, our understanding dynamical aspects characterizing movements farmed animal populations remains limited as these systems are traditionally studied static objects and through simplified approximations. By leveraging on network science approach, here we able first time to fully analyze longitudinal dataset Italian cattle that reports mobility individual animals among farms a daily basis. The complexity inter-relations between...
The spatial propagation of many livestock infectious diseases critically depends on the animal movements among premises; so knowledge movement data may help us to detect, manage and control an outbreak. identification robust spreading features system is however hampered by temporal dimension characterizing population interactions through movements. Traditional centrality measures do not provide relevant information as results strongly fluctuate in time outbreak properties heavily depend...
Understanding how epidemics spread in a system is crucial step to prevent and control outbreaks, with broad implications on the system's functioning, health, associated costs. This can be achieved by identifying elements at higher risk of infection implementing targeted surveillance measures. One important ingredient consider pattern disease-transmission contacts among elements, however lack data or delays providing updated records may hinder its use, especially for time-varying patterns....
The One Health approach unites efforts across human-animal-environment interfaces against shared threats like zoonotic diseases. T-Racing is a Shiny web application, that supports epidemiological investigations and helps contain livestock-related disease spread, aligning with multidisciplinary principles to safeguard public health. application uses Temporal Network Analysis techniques address the dynamic nature of animal trade, facilitating backward forward tracing strategies. leverages...
In recent years researchers have investigated a growing number of weighted heterogeneous networks, where connections are not merely binary entities, but proportional to the intensity or capacity among various elements. Different degree centrality measures been proposed for this kind networks. work we propose and strength (WDC WSC). Using reducing factor correct classical (CD) account tie weights distribution. The bigger departure from equal distribution, greater reduction. These applied real...
Summary A model was developed to classify the Italian territories in relation their suitability harbour populations of Culicoides imicola and, as a consequence, also able sustain bluetongue (BT) epidemic. Italy subdivided into 3507 10 × km cells. In 546 cells at least one collection made. The cell considered unit for all subsequent analyses. were collected using Onderstepoort‐type blacklight traps. Some traps operated weekly chosen sites; remainder moved almost daily new sites. Only results...
The infectious period of a transmissible disease is key factor for spread and persistence. Epidemic models on networks typically assume an identical average all individuals, thus allowing analytical treatment. This simplifying assumption is, however, often unrealistic, as hosts may have different periods, due, instance, to individual host–pathogen interactions or inhomogeneous access While previous work accounted this heterogeneity in static networks, full theoretical understanding the...
Brucellosis caused by Brucella abortus is an important zoonosis that constitutes a serious hazard to public health. Prevention of human brucellosis depends on the control disease in animals. Livestock movement data represent valuable source information understand pattern contacts between holdings, which may determine inter-herds and intra-herd spread disease. The manuscript addresses use computational epidemic models rooted knowledge cattle trade network assess probabilities design...
The affiliation, assessment and management of risks is a traditional part veterinary medicine. In the past, services involved in this type activity usually assessed qualitatively. However, since 1990s, quantitative methods have become increasingly important. establishment World Trade Organization 1994, promulgation its Agreement on Application Sanitary Phytosanitary Measures (the "SPS Agreement") led to an increased application import risk analysis significant improvements methodology as...
Animal movements are a key factor in the spread of pathogens. Consequently, network analysis animal is well-developed and well-studied field. The relationships between animals facilitate diffusion infectious agents and, particular, shared environments close interactions can cross-species transmission. Cattle often focus these studies since they among most widely distributed traded species globally. This remains true for Italy as well, but with an important additional consideration. Indeed,...
Since 2000 Italy has experienced five epidemics of bluetongue, an arthropod-borne disease that affects primarily sheep and asymptomatically cattle, goats wildlife ruminants. In four years the spread through Southern Central Italy, involving 14 Italian regions out 20. To control disease, Ministry Health established a surveillance system included clinical, entomological serological elements. The National Reference Centre for Veterinary Epidemiology--Istituto Zooprofilattico Sperimentale...
Background In the last decades an increasing number of West Nile Disease cases was observed in equines and humans Mediterranean basin surveillance systems are set up numerous countries to manage control disease. The collection, storage distribution information on spread disease becomes important for a shared intervention strategy. To this end, Web Geographic Information System has been developed data, climatic environmental remote sensed full genome sequences selected isolated strains made...
In February 2020, Italy became the epicenter for COVID-19 in Europe, and at beginning of March, Italian Government put place emergency measures to restrict population movement. Aim our analysis is provide a better understanding epidemiological context Italy, using commuting data high spatial resolution, characterizing territory terms vulnerability. We used Susceptible–Infectious stochastic model we estimated municipality-specific infection contact rate (β) capture susceptibility disease....
In August 2008, after 10 years of apparent silence, West Nile virus (WNV) infection re-emerged in northern Italy, spreading through the territories three regions. following years, new cases occurred same area and additional foci were observed central southern involving also Sicily Sardinia islands. The Italian Ministry Health ordered to test by RT-PCR all blood organ donors from 15th June November each year infected areas. period at risk WNV transmission was defined on basis literature data,...
The management of public health emergencies is improved by quick, exhaustive and standardized flow data on disease outbreaks, using specific tools for collection, registration analysis. In this context, the National Information System Notification Outbreaks Animal Diseases (SIMAN) has been developed in Italy to collect share notifications outbreaks animal diseases. SIMAN connected through web services national database animals holdings (BDN) integrated with epidemic emergencies. website...
From 24 December 2020 to 8 February 2021, 163 cases of SARS-CoV-2 Alpha variant concern (VOC) were identified in Chieti province, Abruzzo region. Epidemiological data allowed the identification 14 epi-clusters. With one exception, all epi-clusters linked town Guardiagrele: 149 contacts formed network, two-thirds which referred family/friends context. Real then used estimate transmission parameters. According our method, calculated Re(t) was higher than 2 before 12 2020. Similar values...