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We have found 36 datasets for the keyword " pathogen". You can continue exploring the search results in the list below.
Datasets: 106,057
Contributors: 42
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36 Datasets, Page 1 of 4
Fish Pathogen Management Zone Boundary Source
The Fish Pathogen Boundary Segment layer forms the boundary of the Fish Pathogen Management Zones and is made up of segments that were taken from the Ontario Road Network. This data class was created in order to store the road name information associated with each segment that makes up the fish pathogen management zone boundary. This product requires the use of geographic information system (GIS) software.
Fish Pathogen Management Zone
Zones were created to manage the potential spread of fish pathogens. This product requires the use of geographic information system (GIS) software.
Fish Health Database
The Fish Pathology Program (FPP) located at the Pacific Biological Station in Nanaimo has been assessing the health of aquatic animals since the early 1970’s. Utilizing traditional diagnostic methods, the FPP has supported internal and external clients to provide clinical data and management advice on the health of aquatic animals. The dataset contains information from diagnostic fish health cases coming from the Salmonid Enhancement Program, Research, Public and I&T submissions. Data contained in the database includes pathogen findings from submitted cases from all of the Pacific Region.The publication of The Fish Health Database will comply with public release recommendations documented in recommendation twenty two, made in volume three of the Final Report (October 2012) submitted by the Cohen Commission of Inquiry into the Decline of the Sockeye Salmon in the Fraser River.
The prevalence of underlying health conditions that increase the risk of severe health outcomes related to COVID-19
As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus.To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.
Profenusa thomsoni
Historical finds of Profenusa thomsoni
Forest Disease Damage Event
Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.
Immunization Services in BC
Programs in BC that provide inoculations or other prophylactic measures to prevent susceptible individuals from contracting specific diseases for which means of control have been developed. Definition is protected by Copyright by Information and Referral Federal of Los Angeles County, Inc (https://211taxonomy.org/subscriptions/#agreement)
Sentinel - Invasive exotic species
This theme presents observations of invasive exotic species (IAS)transmitted and validated using the Sentinelle tool, an EEE detection system.An invasive exotic species is a plant, animal or microorganism (virus,bacteria or fungi) that are introduced outside of their natural range. Sonestablishment or its spread may pose a threat to the environment,the economy or society. The species listed are species of fauna and floraconcerning (or potentially worrying) for Quebec's biodiversity. Ellesinclude EEE present in Quebec and EEE not listed in Quebec atmonitor.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Fenusa pumila
Historical finds of Fenusa pumila
National Aquatic Invasive Species (AIS) Risk Assessment for Zebra (Dreissena polymorpha) and Quagga (Dreissena rostriformis bugensis) Mussels
Zebra Mussel (Dreissena polymorpha) and Quagga Mussel (Dreissena rostriformis bugensis) have a long history of invasion in European and North American freshwater ecosystems, with significant ecological and economic impacts. An ecological risk assessment for these two invasive species for freshwater ecosystems in Canada was completed in April 2022 with the aim to provide science-based guidance to inform management decisions and actions. These include early detection, response planning, and/or regulatory and policy measures aimed at mitigating the potential spread and risk posed by Zebra and Quagga Mussels to Canadian freshwater ecosystems (DFO 2023). The Potential for Introduction (propagule pressure and connectivity), the Potential for Establishment (habitat suitability, including a Calcium-based and Maximum Entropy (MaxEnt)-based model), the Potential for Invasion, and the Ecological Impacts were used to derive Ecological Risk for Zebra and Quagga Mussels in Canada. This assessment did not evaluate the risk to individual waterbodies but rather was conducted at a 9,260 m x 9,260 m grid cell resolution. These high resolution maps are provided here. Maps of Ecological Risk at the sub-drainage level are also provided. Fisheries and Oceans Canada is not responsible for any omissions or errors that may be contained in this dataset and shall not be liable for any losses, financial or otherwise, due to the use of these data. Please credit Wilcox et al. 2024 as the source of the data in any maps, reports, or articles that are printed or published on paper or the Internet.
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