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Wint, W.

Publications and source records attributed to Wint, W..

2 recordsLinked to original sources

Association of avian biodiversity and West Nile virus circulation in Culex mosquitoes in Emilia-Romagna, Italy

West Nile Virus (WNV) is a zoonotic arbovirus maintained in a transmission cycle between Culex mosquitoes and birds, occasionally spilling over into humans. The impact of avian biodiversity on WNV circulation remains debated, with studies reporting both negative and positive correlations (dilution and amplification effects respectively) across different settings. In Europe, this relationship remains largely unexplored, particularly in regions with high WNV transmission, such as Emilia-Romagna in Northern Italy. We explored the association between avian biodiversity and WNV circulation in Culex mosquitoes in Emilia-Romagna using 11 consecutive years (2013-2023) of entomological surveillance data paired with two avian data sources. We calculated avian biodiversity indices (Shannons, Simpsons, and Chao2) from observation records from the Farmland Bird Index project and applied linear regression models to assess their relationship with WNV circulation levels. Moreover, we used Bayesian spatiotemporal regression models and gridded weekly avian abundance estimates from the eBird project, to analyse the associations between avian species richness indices and WNV-positivity rates at 68 geolocated mosquito traps across the region. We observed consistent negative associations between WNV circulation in the Culex population and avian biodiversity indices, supporting the dilution effect hypothesis (DEH). We found that non-passerine species richness was negatively associated with WNV mosquito circulation, whereas passerine species richness exhibited a positive association after adjusting for environmental factors and spatial random effects. These findings suggest that passerines may amplify WNV transmission, while the presence of non-passerine species is associated with reductions in WNV circulation. This study provides the first empirical evidence supporting the DEH for WNV in Europe. These findings have important implications for avian surveillance and future WNV modelling studies, and can inform regional, national and European policies on biodiversity conservation and public health planning. Author summaryWest Nile Virus (WNV) is a zoonotic, vector-borne disease maintained in a mosquito-bird-mosquito transmission cycle. The role of avian biodiversity in WNV transmission remains debated, with studies reporting both dilution effects (negative associations) and amplification effects (positive associations) across different settings. Here, we examined the impact of avian biodiversity on WNV circulation in Culex mosquitoes in Emilia-Romagna, Italy, one of Europes WNV hotspots. We analysed 11 years (2013-2023) of entomological surveillance data alongside two ornithological datasets, respectively collected by the Farmland Bird Index project and the citizen science project eBird. These different datasets allowed us to test the dilution effect hypothesis (DEH) at broad and fine spatiotemporal resolutions. Our findings provide support for the DEH for WNV, revealing that higher bird community diversity is associated with reduced WNV circulation. Additionally, we found that non-passerine species richness is linked to lower levels of WNV circulation in the vector, whereas passerine species richness is positively associated with WNV transmission from entomological surveillance. These results point towards the potential amplifying role of passerine species and the protective role of non-passerine species in WNV transmission dynamics, which has important implications for species conservation, public health policy and future modelling studies.

ecology↗

Modeling the spatio-temporal annual changes in human tick-borne encephalitis (TBE) risk in Europe

IntroductionTick-borne encephalitis (TBE), caused by tick-borne encephalitis virus (TBEV), is a zoonotic disease that can cause severe neurological symptoms. Given the increasing number of reported human TBE cases in Europe, a spatio-temporal predictive model to infer the year-to-year probability of human TBE occurrence across Europe at the regional and municipal administrative levels was developed. MethodsThe distribution of human TBE cases at the regional (NUTS-3) level during the period 2017-2022, was derived by using data provided by the European surveillance system (TESSy, ECDC), and at the municipal level by using data from Austria, Finland, Italy, Lithuania, and Slovakia. The probability of presence of human TBE cases at the regional and municipal levels for the period 2017-2024 was modeled with a boosted regression trees model, including covariates that affect both the natural hazard of virus circulation and human exposure to tick bites. ResultsAreas with the highest probability of human TBE infections are primarily located in central-eastern Europe, the Baltic states, and along the coastline of Nordic countries up to the Bothnian Bay. Our results also highlight a statistically significant rising trend in the probability of human TBE infections not only in north-western, but also in south-western European countries, offering a spatio-temporal predictive framework for the assessment of areas where human TBE infection are most likely to occur. The model showed good predictive performance, with a mean AUC of 0.85 (SD = 0.02), sensitivity of 0.82, and specificity of 0.80 at the regional level, and a mean AUC of 0.82 (SD = 0.03), sensitivity of 0.80, and specificity of 0.69 at the municipal level. DiscussionWith ongoing climate and land use changes, the number of human TBE cases is likely to increase and expand into new areas, as trends are already indicating. This underscores the need for predictive models that can help prioritize intervention efforts. The approach adopted, by leveraging lagged covaries, enables timely one-year-ahead predictions, thus supporting surveillance, prevention, and control of human TBE infections by public health authorities. StatementsO_ST_ABSEthical statementC_ST_ABSEthical approval was not needed. Funding statementThis project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 874850 and is catalogued as MOOD 081. The contents of this publication are the sole responsibility of the authors and dont necessarily reflect the views of the European Commission. Conflict of interestNone. Authors contributionsFrancesca Dagostin: Conceptualization, Methodology, Data Curation, Formal Analysis, Writing - Original Draft. Diana Erazo: Conceptualization, Methodology, Writing - Review & Editing. Giovanni Marini: Conceptualization, Methodology, Writing - Review & Editing. Daniele Da Re: Conceptualization, Methodology, Writing - Review & Editing. Valentina Tagliapietra: Conceptualization, Methodology, Writing - Review & Editing. Maria Avdicova: Resources, Writing - Review & Editing. Tatjana Av[s]i[c] - [Z]upanc: Resources, Writing - Review & Editing. Timothee Dub: Conceptualization, Resources, Writing - Review & Editing. Nahuel Fiorito: Resources, Writing - Review & Editing. Nata[s]a Knap: Resources, Writing - Review & Editing. Celine M. Gossner: Resources, Writing - Review & Editing. Jana Kerlik: Resources, Writing - Review & Editing. Henna Makela: Resources, Writing - Review & Editing. Mateusz Markowicz: Resources,Writing - Review & Editing. Roya Olyazadeh: Resources, Writing - Review & Editing. Lukas Richter: Resources, Writing - Review & Editing. William Wint: Resources, Writing - Review & Editing. Maria Grazia Zuccali: Resources, Writing - Review & Editing. Milda [Z]ygutiene: Resources, Writing - Review & Editing. Simon Dellicour: Methodology, Writing - Review & Editing. Annapaola Rizzoli: Conceptualization, Methodology, Writing - Review & Editing. Data availabilityThe data that support the findings of this study were provided by ECDC, Azienda Provinciale per i Servizi Sanitari Provincia Autonoma di Trento (APSS), Unita Locale Socio Sanitaria Dolomiti (ULSS N.1 Dolomiti), Public Health Authority of the Slovak Republic, Austrian Agency for Health and Food Safety (AGES), Finnish Institute for Health and Welfare (THL), National Public Health Center under the Ministry of Health (Lithuania) and University of Ljubljana. Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. The interactive risk maps can be explored in detail at https://mood-platform.avia-gis.com. DisclaimerThe views and opinions of the authors expressed herein do not necessarily state or reflect those of ECDC. The accuracy of the authors statistical analysis and the findings they report are not the responsibility of ECDC. ECDC is not responsible for conclusions or opinions drawn from the data provided. ECDC is not responsible for the correctness of the data and for data management, data merging and data collation after provision of the data. ECDC shall not be held liable for improper or incorrect use of the data.

ecology↗