Analysis

COVID-19 A data perspective

COVID-19: A data perspective: Explore key economic trends and social challenges that arise as the COVID-19 situation evolves.

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Author(s)

105 facets displayed. 1 facets selected.

Survey or statistical program

55 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (231)

All (231) (0 to 10 of 231 results)

  • Articles and reports: 82-003-X202201100003
    Description:

    The Statistics Canada Biobank is a valuable source of nationally representative health information. It contains biospecimens collected from the Canadian Health Measures Survey (CHMS) and the Canadian COVID-19 Antibody and Health Survey (CCAHS). This data resource profile aims to provide an overview of the Statistics Canada Biobank to inform researchers and data users about the program and how it can be used as a resource for the advancement of health-related research.

    Release date: 2022-11-16

  • Articles and reports: 82-003-X202201000001
    Description:

    Cycling is the fastest growing mode of transportation in many Canadian communities and has experienced major boosts during the COVID pandemic. While there have been recent efforts to develop national measures of active living environments for walking and for transit in Canada, there are no corresponding measures for cycling environments. The goal of this study is to develop the first national dataset in Canada for Dissemination area -level metrics of the cycling environment: the Canadian Bikeway Comfort and Safety metrics. This will help develop area-level metrics of the cycling environment for all of Canada.

    Release date: 2022-10-19

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Stats in brief: 11-621-M2022013
    Description:

    This analysis takes a deeper look into gross domestic product (GDP) by industry in the provinces and territories in 2021 following the unprecedented public health measures in response to the COVID-19 pandemic.

    Release date: 2022-08-12

  • Articles and reports: 37-20-00012022005
    Description:

    This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, age group and gender for Canada, the provinces and the territories combined. This document has been updated to reflect the 2022 methodology used to produce labour market outcomes indicators.

    Release date: 2022-07-19

  • Articles and reports: 13-605-X202200100002
    Description:

    This article outlines the Canadian non-profit sector's composition, demographic statistics, and contribution to the overall economy between the years 2010 and 2020. These data are integral to the non-profit sector, providing a depth of information related to economic and social trends on the sector, while utilizing data from the annual Satellite Account of Non-Profit Institutions and Volunteering (SANIV) and the Human Resources Module (HRM). This exercise was conducted to enrich the user’s comprehension of the national accounts non-profit data, by providing analysis on the trends and composition of the non-profit sector in Canada.

    Release date: 2022-07-05

  • Articles and reports: 12-001-X202200100004
    Description:

    When the sample size of an area is small, borrowing information from neighbors is a small area estimation technique to provide more reliable estimates. One of the famous models in small area estimation is a multinomial-Dirichlet hierarchical model for multinomial counts. Due to natural characteristics of the data, making unimodal order restriction assumption to parameter spaces is relevant. In our application, body mass index is more likely at an overweight level, which means the unimodal order restriction may be reasonable. The same unimodal order restriction for all areas may be too strong to be true for some cases. To increase flexibility, we add uncertainty to the unimodal order restriction. Each area will have similar unimodal patterns, but not the same. Since the order restriction with uncertainty increases the inference difficulty, we make comparison with the posterior summaries and approximated log-pseudo marginal likelihood.

    Release date: 2022-06-21

  • Articles and reports: 12-001-X202200100006
    Description:

    In the last two decades, survey response rates have been steadily falling. In that context, it has become increasingly important for statistical agencies to develop and use methods that reduce the adverse effects of non-response on the accuracy of survey estimates. Follow-up of non-respondents may be an effective, albeit time and resource-intensive, remedy for non-response bias. We conducted a simulation study using real business survey data to shed some light on several questions about non-response follow-up. For instance, assuming a fixed non-response follow-up budget, what is the best way to select non-responding units to be followed up? How much effort should be dedicated to repeatedly following up non-respondents until a response is received? Should they all be followed up or a sample of them? If a sample is followed up, how should it be selected? We compared Monte Carlo relative biases and relative root mean square errors under different follow-up sampling designs, sample sizes and non-response scenarios. We also determined an expression for the minimum follow-up sample size required to expend the budget, on average, and showed that it maximizes the expected response rate. A main conclusion of our simulation experiment is that this sample size also appears to approximately minimize the bias and mean square error of the estimates.

    Release date: 2022-06-21

  • Articles and reports: 82-003-X202200600001
    Description:

    Estimates of polypharmacy (the concurrent use of five-or-more medications) have primarily been derived from prescription claims. Less is known about the use of non-prescription medications (alone or in combination with prescription medications) across the frailty spectrum or by sex. This study estimates the prevalence of polypharmacy (total, prescription, non-prescription, and concurrent prescription/non-prescription) overall, and by frailty, sex, and broad age groups.

    Release date: 2022-06-15
Stats in brief (24)

Stats in brief (24) (0 to 10 of 24 results)

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Stats in brief: 11-621-M2022013
    Description:

    This analysis takes a deeper look into gross domestic product (GDP) by industry in the provinces and territories in 2021 following the unprecedented public health measures in response to the COVID-19 pandemic.

    Release date: 2022-08-12

  • Stats in brief: 89-20-00062022001
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. To properly conduct these processes, data ethics ethics must be upheld in order to ensure the appropriate use of data.

    Release date: 2022-05-24

  • Stats in brief: 89-20-00062022002
    Description:

    This video will break down what it means to be FAIR in terms of data and metadata, and how each pillar of FAIR serves to guide data users and producers alike, as they navigate their way through the data journey, in order to gain maximum, long term value.

    Release date: 2022-05-24

  • Stats in brief: 89-20-00062022003
    Description:

    By the end of this video you will understand what confidence intervals are, why we use them, and what factors have an impact on them.

    Release date: 2022-05-24

  • Stats in brief: 11-627-M2022020
    Description:

    Results from the Survey on Access to Health Care and Pharmaceuticals During the Pandemic provide a snapshot of self-reported access to health care services from March 2020 to May 2021 among individuals 18 years and older in Canada's 10 provinces. In this infographic, we look at adults who needed health care services during the COVID-19 pandemic but delayed contacting a medical professional.

    Release date: 2022-04-07

  • Stats in brief: 45-28-0001202200100002
    Description:

    This study examines businesses' demand for personal protective equipment, and concerns about lack of supply, using new data for January 2022 from the Personal Protective Equipment Survey.

    Release date: 2022-03-31

  • Stats in brief: 45-28-0001202100100039
    Description:

    This study examines businesses' demand for personal protective equipment, and concerns about lack of supply, using new data for August 2021 from the Personal Protective Equipment Survey.

    Release date: 2021-10-18

  • Stats in brief: 45-28-0001202100100029
    Description:

    This study examines businesses' demand for personal protective equipment, and concerns about lack of supply, using new data for May 2021 from the Personal Protective Equipment Survey.

    Release date: 2021-07-16
Articles and reports (201)

Articles and reports (201) (0 to 10 of 201 results)

  • Articles and reports: 82-003-X202201100003
    Description:

    The Statistics Canada Biobank is a valuable source of nationally representative health information. It contains biospecimens collected from the Canadian Health Measures Survey (CHMS) and the Canadian COVID-19 Antibody and Health Survey (CCAHS). This data resource profile aims to provide an overview of the Statistics Canada Biobank to inform researchers and data users about the program and how it can be used as a resource for the advancement of health-related research.

    Release date: 2022-11-16

  • Articles and reports: 82-003-X202201000001
    Description:

    Cycling is the fastest growing mode of transportation in many Canadian communities and has experienced major boosts during the COVID pandemic. While there have been recent efforts to develop national measures of active living environments for walking and for transit in Canada, there are no corresponding measures for cycling environments. The goal of this study is to develop the first national dataset in Canada for Dissemination area -level metrics of the cycling environment: the Canadian Bikeway Comfort and Safety metrics. This will help develop area-level metrics of the cycling environment for all of Canada.

    Release date: 2022-10-19

  • Articles and reports: 37-20-00012022005
    Description:

    This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, age group and gender for Canada, the provinces and the territories combined. This document has been updated to reflect the 2022 methodology used to produce labour market outcomes indicators.

    Release date: 2022-07-19

  • Articles and reports: 13-605-X202200100002
    Description:

    This article outlines the Canadian non-profit sector's composition, demographic statistics, and contribution to the overall economy between the years 2010 and 2020. These data are integral to the non-profit sector, providing a depth of information related to economic and social trends on the sector, while utilizing data from the annual Satellite Account of Non-Profit Institutions and Volunteering (SANIV) and the Human Resources Module (HRM). This exercise was conducted to enrich the user’s comprehension of the national accounts non-profit data, by providing analysis on the trends and composition of the non-profit sector in Canada.

    Release date: 2022-07-05

  • Articles and reports: 12-001-X202200100004
    Description:

    When the sample size of an area is small, borrowing information from neighbors is a small area estimation technique to provide more reliable estimates. One of the famous models in small area estimation is a multinomial-Dirichlet hierarchical model for multinomial counts. Due to natural characteristics of the data, making unimodal order restriction assumption to parameter spaces is relevant. In our application, body mass index is more likely at an overweight level, which means the unimodal order restriction may be reasonable. The same unimodal order restriction for all areas may be too strong to be true for some cases. To increase flexibility, we add uncertainty to the unimodal order restriction. Each area will have similar unimodal patterns, but not the same. Since the order restriction with uncertainty increases the inference difficulty, we make comparison with the posterior summaries and approximated log-pseudo marginal likelihood.

    Release date: 2022-06-21

  • Articles and reports: 12-001-X202200100006
    Description:

    In the last two decades, survey response rates have been steadily falling. In that context, it has become increasingly important for statistical agencies to develop and use methods that reduce the adverse effects of non-response on the accuracy of survey estimates. Follow-up of non-respondents may be an effective, albeit time and resource-intensive, remedy for non-response bias. We conducted a simulation study using real business survey data to shed some light on several questions about non-response follow-up. For instance, assuming a fixed non-response follow-up budget, what is the best way to select non-responding units to be followed up? How much effort should be dedicated to repeatedly following up non-respondents until a response is received? Should they all be followed up or a sample of them? If a sample is followed up, how should it be selected? We compared Monte Carlo relative biases and relative root mean square errors under different follow-up sampling designs, sample sizes and non-response scenarios. We also determined an expression for the minimum follow-up sample size required to expend the budget, on average, and showed that it maximizes the expected response rate. A main conclusion of our simulation experiment is that this sample size also appears to approximately minimize the bias and mean square error of the estimates.

    Release date: 2022-06-21

  • Articles and reports: 82-003-X202200600001
    Description:

    Estimates of polypharmacy (the concurrent use of five-or-more medications) have primarily been derived from prescription claims. Less is known about the use of non-prescription medications (alone or in combination with prescription medications) across the frailty spectrum or by sex. This study estimates the prevalence of polypharmacy (total, prescription, non-prescription, and concurrent prescription/non-prescription) overall, and by frailty, sex, and broad age groups.

    Release date: 2022-06-15

  • Articles and reports: 82-003-X202200600003
    Description:

    Canadian immigrants from countries where the hepatitis B virus (HBV) and hepatitis C virus (HCV) are endemic may be at higher risk of liver-related disease than Canadian-born residents. This study compared HBV- and HCV-related hospitalizations in Canadian immigrants (arriving from 1980 to 2013) and long-term residents (Canadian-born population and pre-1980 immigrants) and aimed to describe the burden of disease in both groups.

    Release date: 2022-06-15

  • Articles and reports: 82-003-X202200500001
    Description:

    Compared with the general Canadian population, military members exhibit a higher prevalence of depressive disorders, anxiety disorders and post-traumatic stress disorder. However, there is a paucity of research investigating the extent to which military members experience positive mental health. The purpose of this research is to validate a commonly used measure of positive mental health known as the mental health continuum-short form in a nationally representative sample of Canadian Armed Forces personnel.

    Release date: 2022-05-18

  • Articles and reports: 11-522-X202100100025
    Description:

    We propose a longitudinal analysis with a point of view connected to the organizational changes that have taken place in the Italian National Institute of Statistics in recent years. In 2016 the Institute introduced a new Directorate, intending to standardize and generalize the business process of Data Collection according to the European standard of the GAMSO model. The paper discusses the pros and cons of this change from the perspective of the survey's participation. The ICT survey response rate analysis demonstrates an increase of around 20% since the beginning of the new organization: the paper tries to focus on the impact of the changes introduced with the new organization. We focused our attention on two specific subsets of respondents - the so-called "wanted" - the ones who have never answered to an ICT survey or to any other Istat survey and - the so-called “lost” - the ones included in two consecutive survey’s samples and that answered in the previous edition but not in the current one. The paper aims to illustrate how an efficient organization of data collection reflects its benefits on survey results and what kind of actions should be taken to catch the attention of the "wanted". Finally, we apply a logistic model measuring the probability that an enterprise responding in 2018 (t-1) also answered in 2019 (t). All the analysis suggests some actions that could be taken to improve respondents' participation, data quality, and respondents' perception of the official statistics.

    Key Words: data collection strategy, response rate, paradata, response burden, ICT Survey.

    Release date: 2021-10-29
Journals and periodicals (6)

Journals and periodicals (6) ((6 results))

  • Journals and periodicals: 89-646-X
    Geography: Canada
    Description:

    The Survey of Older Workers is sponsored by the Labour Market Policy branch of Human Resources and Skills Development Canada (HRSDC). The survey is designed to assess the labour market intentions and transitions of older Canadians. The subject matter is intended to identify "factors" that influence the decision to retire or remain working. In this context pensions, general finances, the role of dependents, the nature of work, health considerations etc., will be of primary concern in trying to understand workers' intentions and motivations.

    Release date: 2010-11-15

  • Journals and periodicals: 89-617-X
    Geography: Canada, Province or territory
    Description:

    The International Adult Literacy and Skills Survey, undertaken in 2003, measured the proficiencies of a representative sample of Canadian adults aged 16 and over in four domains: prose literacy, document literacy, numeracy and problem solving, and benchmarked performance against an international standard. The proficiency scores are compared between provinces, territories and nations, and over time. Moreover, literacy performance is examined in relation to differences in variables such as educational attainment, employment and unemployment, earnings and self-assessed health. Analyses of the literacy performance of groups of special interest, including women and men, young adults and seniors, recent and established immigrants, and Aboriginal populations are included.

    Release date: 2005-11-30

  • Journals and periodicals: 61-533-X
    Description:

    This publication provides the first national portrait of the many thousands of nonprofit and voluntary organizations found in every Canadian community. The data, from the National Survey of Nonprofit and Voluntary Organizations, reveal a set of organizations that are widely diverse in nature, touching virtually every aspect of Canadians' lives.

    Release date: 2005-06-30

  • Journals and periodicals: 61-533-S
    Geography: Canada
    Description:

    This booklet summarizes the key results of the first National Survey of Nonprofit and Voluntary Organizations. These organizations have a significant economic presence and serve as vehicles for citizen engagement. However, many report significant challenges to their capacity to fulfill their missions.

    Release date: 2005-03-11

  • Journals and periodicals: 53F0007X
    Geography: Canada
    Description:

    This analytical study uses Canadian Vehicle Survey data for 2000 to explain road use characteristics of young and aging drivers on a national basis. The analysis examines differences between two age groups - those aged 24 and under and those aged 55 and over - with the remainder of the population, those aged 25 to 54.

    The focus of the study is on when and why drivers choose to make road trips, and how the driving population compares with the population as a whole. Driver characteristics were compared with Canadian motor vehicle traffic collision statistics published by Transport Canada (1999) as a means of putting driving exposure into perspective.

    Release date: 2003-01-09

  • Journals and periodicals: 82F0076X
    Geography: Canada
    Description:

    Heart disease and stroke are major causes of illness, disability and death in Canada and they exact high personal, community and health care costs. The goal of The changing face of heart disease and stroke in Canada, the fifth in a series of reports from the Canadian Heart and Stroke Surveillance System (CHSSS), is to provide health professionals and policy makers with an overview of current trends in risk factors, interventions and services, and health outcomes of heart disease and stroke in Canada.

    Release date: 1999-10-21
Date modified: