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64 results for “zoonoses”
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Luxembourg
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Animal disease data complementing the European Union One Health 2021 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Ireland
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Describing and mapping of the main existing structures and systematic initiatives and academic activities for surveillance in the EU for zoonoses (transboundary, emerging and re-emerging) in domestic animals and wildlife
<p>These annexes refer to a report which describes and maps the main existing structures and systematic initiatives and academic activities for surveillance in the EU for transboundary, emerging and re-emerging zoonoses in domestic animals, wildlife, and the environment, developed by the different sectors, namely human, domestic animal, wildlife and environmental, under One Health approach. This is essential to provide scientific and technical advice and improve future schemes of surveillance. A questionnaire was compiled by MSs and the information collected was complemented by literature reviews about (i) the main existing structures and systematic initiatives or activities, and (ii) academic activities for surveillance in the EU for zoonoses in domestic animals and wildlife. The annexes to the report are as follows:</p> <p>Annex 1. Questionnaire survey on official zoonotic disease surveillance activities in the EU and neighbouring countries.</p> <p>- Sheet 1: PART 1 – Surveillance. This part explores the general organization of the surveillance plan</p> <p>- Sheet 2: PART 2 – Pathogens. This part aims to identify target pathogen and species and methods for surveillance</p> <p>Annex 2. Characteristic of surveillance plans.</p> <p>- Sheet “Pathogens”, where not primary but also a wide range of hosts are summarized.</p> <p>- Sheet “active/passive surveillance” by country</p> <p>- Sheet “origin of funding” (the proportion and number) of surveillance plans</p> <p>Annex 3. More detailed distribution of active and passive surveillance planaccording to countries and pathogen is presented in this Annex.</p> <p>Annex 4. Standardized data model (to extract key information to characterize the surveillance systems in the literature review on systematic surveillance. The data model was divided into two parts:</p> <p>- Sheet 1: PART 1 – Surveillance system (explores the general organization)</p> <p>- Sheet 2: PART 2 – Pathogens (identifies the target pathogen, species, and methods)</p> <p>Annex 5. Standardized data model used during the literature review to extract key information to characterize the surveillance performed by the academia</p>
Literature review on the main existing structures and systematic/academic initiatives for surveillance in the EU for zoonoses in the environment and the methods for surveillance of pathogens in the environment
<p>The report to which this datasets refer to is based on two literature reviews</p> <ol> <li>on the main existing structures and systematic/academic initiatives for surveillance in the EU for zoonoses in the environment, and</li> <li>on the methods for pathogen surveillance in the environment.</li> </ol> <p>Concerning (i), the purpose of this literature review was to collect published information regarding surveillance in Europe that focuses on health hazards where environmental sampling is involved. It includes a review of study design and methodological approaches, including types of environmental samples, and methods to detect animal pathogens in the environment. Documents describing systematic, structured, or academic surveillance systems targeting zoonotic pathogens in the environment in Member States and neighbouring countries were searched. A list of target zoonotic pathogens has already been produced by EFSA and was included in the search strings in literature browsers. The publication search was done in the following databases: Biomedical databases (Embase) and Science databases (ISI web of Science, Pubmed). In addition to references retrieved directly from scientific browsers the literature cited to identify missing references was examined. A standardised data model was used to extract key information to characterise the surveillance systems (Annex 1), which is presented as an excel document, including the list of references and the vocabulary.</p> <p>Concerning (ii), the purpose of this literature review was to assess the published information on the methods applied to survey zoonotic pathogens or diseases using environmental protocols, i.e., non-invasive environmental samples. To achieve this goal, scientific databases such as Scopus, Pubmed and Web of Science (WOS) were used. The search method was limited to documents published between 2017 to 2022. Thereafter, inclusion/exclusion criteria were applied. A standardised data model was similarly used to extract key information from each document: target pathogen; type of samples collected (faecal, object surface…) and if it is an invasive or non-invasive collection method; sample collection methods; pre-analytical treatments; pathogen identification methods, and existence of quality controls. Data were collected at the assay level. The full text of all selected papers was read, and relevant information was extracted, summarised, and schematically outlined in tables in the form of one or multiple single-entry assays per reference. The standardized data model is presented in Annex 2, and it was divided into 6 parts: PART 1 – Target pathogen; PART 2 – Type of samples collected (faecal, object surface…) and whether it is an invasive or non-invasive collection method; PART 3 – Sample collection methods; PART 4 – Pre-analytical treatments; PART 5 – Pathogen identification methods; PART 6 – Quality controls. This annex is presented as an excel document, including the list of references.</p>
The EFSA catalogues applied for the 2022 zoonoses data reporting
<p>The EFSA catalogues applied for the 2022 zoonoses data reporting are made available in Excel format for easier use and reference.</p>
Excel mapping tools for 2022 zoonoses data reporting
<p>The main objective of the mapping tools is to provide a simple and useable platform for Member states and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the Data Collection Framework (DCF).</p> <p>The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, AP, DS and SSD2 for <em>Echinococcus multilocularis</em>) are already inserted into each of the specific mapping tool. Specific Excel mapping tools corresponding to each of the five data models are available.</p> <p>Dynamic or manual version of the tool can be chosen for the first six data models.</p> <p>The Emulti_SSD2_tool can be used to report sample-based results of <em>Echinococcus multilocularis</em> under the Commission Delegated Regulation (EU) 2018/772.</p>
Impact of disease characteristics and knowledge on public risk perception of Zoonoses
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Bacterial zoonoses impacts to conservation of wildlife populations: A global synthesis
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Data from: Drivers of bushmeat hunting and perceptions of zoonoses in Nigerian hunting communities
Bushmeat hunting threatens biodiversity and increases the risk of zoonotic pathogen transmission. Nevertheless, limited information exists on patterns of contact with wildlife in communities that practice bushmeat hunting, especially with respect to social drivers of hunting behavior. We used interview responses from hunters and non-hunters in rural hunting communities in Nigeria to: 1) quantify contact rates with wildlife, 2) identify specific hunting behaviors that increase frequency of contact, 3) identify socioeconomic factors that predispose individuals to hunt, and 4) measure perceptions of risk. Participants engaged in a variety of behaviors that increased contact with wild animals, including: butchering to sell (37%), being injured (14%), using body parts for traditional medicine (19%), collecting carcasses found in forests and/or farms (18%), and keeping as pets (16%). Hunters came into contact with wildlife significantly more than non-hunters, even through non-hunting exposure pathways. Participants reported hunting rodents (95%), ungulates (93%), carnivores (93%), primates (87%), and bats (42%), among other prey. Reported hunting frequencies within taxonomic groups of prey were different for different hunting behaviors. Young age, lower education level, larger household size, having a father who hunts, and cultural group were all associated with becoming a hunter. Fifty-five percent of respondents were aware that they could contract diseases from wild animals, but only 26% of these individuals reported taking protective measures. Overall, hunters in this setting frequently contact a diversity of prey in risky ways, and the decision to become a hunter stems from family tradition, modified by economic necessity. Conservation and public health interventions in such settings may be most efficient when they capitalize on local knowledge and target root socio-economic and cultural drivers that lead to hunting behavior. Importantly, interventions that target consumption alone will not be sufficient; other drivers and modes of interaction with wildlife must also be considered.
Food and waterborne outbreaks data complementing the European Union One Health 2020 Zoonoses Report
<p>Food and waterborne outbreaks data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: PubliFBO2020_20211109: >></p>
Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Croatia
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Animal population data complementing the European Union One Health 2020 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Animal_p20_20211109: >></p>
Data from: Blood transcriptomes reveal novel parasitic zoonoses circulating in Madagascar's lemurs
Zoonotic diseases are a looming threat to global populations, and nearly 75% of emerging infectious diseases can spread among wildlife, domestic animals and humans. A 'One World, One Health' perspective offers us an ideal framework for understanding and potentially mitigating the spread of zoonoses, and the island of Madagascar serves as a natural laboratory for conducting these studies. Rapid habitat degradation and climate change on the island are contributing to more frequent contact among humans, livestock and wildlife, increasing the potential for pathogen spillover events. Given Madagascar's long geographical isolation, coupled with recent and repeated introduction of agricultural and invasive species, it is likely that a number of circulating pathogens remain uncharacterized in lemur populations. Thus, it is imperative that new approaches be implemented for de novo pathogen discovery. To this end, we used non-targeted deep sequencing of blood transcriptomes from two species of critically endangered wild lemurs (Indri indri and Propithecus diadema) to characterize blood-borne pathogens. Our results show several undescribed vector-borne parasites circulating within lemurs, some of which may cause disease in wildlife, livestock and humans. We anticipate that advanced methods for de novo identification of unknown pathogens will have broad utility for characterizing other complex disease transmission systems.
Data from: Drivers of bushmeat hunting and perceptions of zoonoses in Nigerian hunting communities
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Data from: Blood transcriptomes reveal novel parasitic zoonoses circulating in Madagascar's lemurs
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Animal disease data complementing the European Union One Health 2018 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99 that cites in Recital 7 the Council Directives 64/432/EEC and 91/68/EEC. The relevant Commission Decisions relating to the officially free (OF) MS and MS' regions and related reporting are: Decision 2003/467/EC for bovine tuberculosis and bovine brucellosis, and Decision 93/52/EC for sheep and goat brucellosis (B. melitensis).</p>
Animal population data complementing the European Union One Health 2018 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>
Catalogues for 2019 zoonoses data reporting
<p>The EFSA catalogues applied for the 2019 zoonoses data reporting are made available in Excel format for easier use and reference.</p>
Excel mapping tools for 2019 zoonoses data reporting
<p>The main objective of the mapping tools is to provide a simple and useable platform for Member states and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the Data Collection Framework (DCF).</p> <p>The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, POP, DST and SSD2 for Echinococcus multilocularis) are already inserted into each of the specific mapping tool. Specific Excel mapping tools correspond to each of the seven data models are available.</p> <p>You can choose between the dynamic or the manual version of the tool for the first six data models.</p> <p>The Emulti_SSD2_tool can be used to report sample-based results of Echinococcus multilocularis under the Commission Delegated Regulation (EU) 2018/772.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.