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.

Each summer, environmental community groups collect important data to determine if groupings of fish, shrimp and crab – what is called a community- can be used as an indicator of the health status of bays and estuaries. Sampling was conducted from May through September for the first years then from June through August. In 2018 and 2019, the sampling was conducted just once in each estuary. Community group members and staff sample six stations once a month in their designated estuary.Fish, shrimps and crabs are collected with a beach seine net and later released live back to the water once identified and counted. From this, the community groups provide important information to Fisheries and Oceans Canada, including:- identification and numbers of fish, shrimp and crab species;- water conditions and samples;- information on aquatic plants;- sediment samples.With this information, Fisheries and Oceans Canada scientists working with government agencies and universities can conduct analyses to determine the suitability of indicators to assess the health of bays and estuaries.PARAMETERS COLLECTED:Parameters: abundance, species richness, species developmental stage (young-of-the-year or adult), water temperature, water salinity, water dissolved oxygen, dissolved inorganic nutrient (nitrate, nitrite, phosphate), sediment % organic content, sediment % humidity content and sediment mean grain size, % submerged aquatic vegetation coverNOTES ON QUALITY CONTROL:Data entry into Excel and first quality control verification is done by CAMP summer students. A second quality control verification is done by DFO staff. See publ # 2823 attached to this record.In 2018, the historical data was migrated into a relationship database. From this year on, annual data will be entered into the database using a custom application. The application front end has numerous QC elements built-in.SAMPLING METHODS:Please see the following URL for sampling details: http://www.dfo-mpo.gc.ca/Library/319437.pdf

This record contains a comprehensive synthesis of previously published highly branched isoprenoid (HBI) results, providing a quantitative spatial and temporal assessment of carbon partitioning within the Arctic marine ecosystem and validating estimates of sea-ice particulate organic carbon (iPOC) values as quantitative predictors of ice algal carbon in Arctic food webs.This publication was a collaborative effort with the following contributors: David Yurkowski (Fisheries and Oceans Canada), Lisa Loseto (Fisheries and Oceans Canada), Steve Ferguson (Fisheries and Oceans Canada), Bruno Rosenberg (Fisheries and Oceans Canada), C.W. Koch (Natural History Museum, London, UK; University of Maryland Center for Environmental Science, Maryland, US); T.A. Brown (Scottish Association for Marine Science, Oban, Scotland); R. Amiraux (Centre for Earth Observation Science, University of Manitoba, Canada); C. Ruiz-Gonzalez (Scottish Association for Marine Science, Oban, Scotland); M. Maccorquodale (Scottish Association for Marine Science, Oban, Scotland); G. Yunda-Guarin (Québec-Océan and Takuvik, Biology Department, Laval University, Canada); D. Kohlbach (Norwegian Polar Institute, Fram Centre, Tromsø, Norway); N.E. Hussey (Integrative Biology, University of Windsor, Ontario, Canada).

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived.The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years.The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

Consolidated Local Health Areas (CLHAs) Boundaries. B.C. Consolidated Local Health Areas (CLHAs) are a health geography standard that partitions the province into distinct areas that support coordination of specialized care between Health Authorities and Primary Care. The province is divided into five Health Authorities, which are subdivided into 41 Consolidated Local Health Areas (CLHAs), which are subdivided into 231 Community Health Service Areas (CHSAs). CLHAs encompass all of B.C., so the classification is exhaustive of all the land area in the province.

This geospatial dataset contains the geographic boundaries of the 34 Public Health Units (PHUs) in Ontario, based on Statistics Canada’s Health Region Boundary File (2018). A PHU is the area of jurisdiction of a board of health. PHUs in Ontario are defined in Regulation 553 (Revised Regulations of Ontario), pursuant to Health Protection and Promotion Act R.S.O. 1990, Amended to O. Reg. 64/05.

Fisheries and Oceans Canada and Environment and Climate Change Canada (Northern Contaminants program) have been working with Nunavut community Hunters and Trappers Organizations and theNunavut Wildlife Management Board consistently since 1980 to collect samples from harvested ringed seals. The majority of seals were measured in the field by Inuit hunters who recorded date of kill, sex and blubber depth at sternum (0.5 cm). The data from the harvested animals are used to evaluate stressors and overall seal health, in the Canadian Arctic.

The Adaptive Management Framework for Yukon placer mining is complemented by traditional knowledge and monitoring of water quality objectives, aquatic health, and economic health. The aquatic health monitoring program is governed by the Aquatic Health Monitoring Protocol. The Protocol describes the locations, timing, frequency and methods employed during sampling, as well as the methods used to analyze sampling data. The Reference Condition Approach (RCA) is the method chosen for assessing the health of freshwater ecosystems in the Yukon. One RCA model was developed for bioassessment based upon benthic macroinvertebrates, and a second model was developed to assess the diversity of fish species. The RCA model for invertebrates relies upon 224 reference sites collected over the period 2004 to 2010 by the University of Western Ontario, Fisheries and Oceans Canada, and Yukon G overnment, using the same standard protocol. The invertebrate data set was analyzed at the family level. There are two fundamental steps in the process of developing the predictive model. The first is to classify the reference sites based on their biological characteristics. This requires defining a number of community types based on the taxonomic composition. The second step is to determine a subset of habitat attributes that are associated with those community types. Following this step the number and type of organisms expected to occur at any given site can be determined from habitat attributes. For more information, contact the Yukon Placer Secretariat.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

The Ministry of Health Service Provider Locations (MOHSERLO) geospatial dataset contains the locations of health service providers in Ontario.

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.