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)

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.

FluWatch is Canada's national surveillance system that monitors the spread of flu and flu-like illnesses on an on-going basis.Activity Level surveillance is a component of FluWatch that provides an overall assessment of the intensity and geographical spread of laboratory-confirmed influenza cases, influenza-like-illness (ILI) and reported outbreaks for a given surveillance region. Activity Levels are assigned and reported by Provincial and Territorial Ministries of Health. A surveillance region can be classified under one of the four following categories: no activity, sporadic, localized or widespread.For a description of the categories, see the data dictionary resource. For more information on flu activity in Canada, see the FluWatch report.(https://www.canada.ca/en/public-health/services/diseases/flu-influenza/influenza-surveillance/weekly-influenza-reports.html)Note: The reported activity levels are a reflection of the surveillance data available to FluWatch at the time of production. Delays in reporting of data may cause data to change retrospectively.

FluWatchers is an online health surveillance system. It helps monitor the spread of flu-like illness across Canada. FluWatchers relies on Canadians to volunteer 15 seconds of their time each week to answer 2 questions about their health. To be a Fluwatcher, sign up at https://cnphi.canada.ca/fluWatcher/registerNote: Only areas where there are five or more weekly reporters are included in the map. The reported rates of cough and fever are a reflection of the surveillance data available to FluWatch at the time of production. Delays in reporting of data may cause data to change retrospectively.

Table containing information relevant to animal disease investigations in Manitoba from 2012 to present.This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis.  It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed.  Not all disease investigations are handled the same due to a partnership approach.  Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means.  The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation.  4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here. Fields included ( Alias (Field Name): Field description.) Year (Year): Year of the disease investigation Number of Sites (Number_of_Sites): Number of investigation sites Number of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sites Species/Class (Species__Class): Group of animal species Disease Type (Disease_Type): The type of disease that is being investigated Result (Result): The outcome (positive/negative) for the corresponding animal disease investigation

Every year, since 1967, the Ministry of Natural Resources and Forests (MRNF) has been conducting an aerial survey and since 2024, with the acquisition of satellite imagery, the Ministry has detected some damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data concerning damage caused by forest livery. The data is updated annually only in case damage is observed.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Every year, since 1967, the Ministère des Forêts, de la Faune et des Parcs (MFFP) has been conducting an aerial survey of damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data concerning damage caused by hemlock looper. The data is updated annually only in case damage is observed.The aerial survey is carried out in sectors previously determined according to the damage of the previous year, the results of inventories to predict the populations of this insect and the observations reported in the forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Every year, since 1967, the Ministère des Forêts, de la Faune et des Parcs (MFFP) has been conducting an aerial survey of damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data on damage caused by jack pine budworm. The data is updated annually only in case damage is observed.The aerial survey is carried out in sectors previously determined according to the damage of the previous year and the results of inventories to predict the populations of this insect.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.

The contaminants in fish database is a compilation of contaminant data analysed from fish tissue at the Fresh Water Institute from 1970 to 2005. Data include lab number, region, analysis, organs, species, lake, form (whole fish, headon dressed, headless dressed), weight, and length and contaminant concentrations. Total mercury was the predominant contaminant measured. Results were expressed as ppm or ppb based on the parameter analyzed. Concentrations are expressed based on wet weight.