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Unlike other high-income countries, Canada has no national policy for drugs treating rare diseases (orphan drugs). Nevertheless, in 2022, the Canadian government committed to creating a national strategy to make access to these drugs more consistent. Our aim was to study whether recommendations made by the Canadian Agency for Drugs and Technology in Health (CADTH) translated into coverage decisions for orphan drugs in Ontario, the largest Canadian province. This study is the first to look at this question for orphan drugs, which are at the center of policy attention. We included 155 orphan drug-indication pairs approved and marketed in Canada between October 2002 and April 2022. Cohen's kappa was used to test the agreement across health technology assessment (HTA) recommendations and coverage decisions in Ontario. Logistic regression was used to test which factors, relevant to decision-makers, might be associated with funding in Ontario. We found only fair agreement between CADTH's recommendations and coverage decisions in Ontario. Although a positive and statistically significant association between favorable HTA recommendations and coverage was found, more than half of the drugs with a negative HTA recommendation were available in Ontario, predominately through specialized funds. Successful pan-Canadian pricing negotiations were a strong predictor of coverage in Ontario. Despite efforts to harmonize access to drugs across Canada, considerable room for improvement remains. Introducing a national strategy for orphan drugs could help increase transparency, consistency, promote collaborations, and make access to orphan drugs a national priority. • Recommendations by the Canadian Agency for Drugs and Technology in Health do not always translate to provincial coverage decisions for new drugs. • We explored whether Canadian Agency for Drugs and Technology in Health's recommendations are aligned with coverage decisions for orphan drugs in Ontario. • Negative health technology assessment recommendations did not necessarily translate to no pan-Canadian pricing negotiations. • More than half the drugs with negative health technology assessment recommendations were available in Ontario through specialized funds. • A national strategy for orphan drugs could prioritize access to these treatments at a national level and harmonize access, at least to some extent, across Canada. [ABSTRACT FROM AUTHOR]

In Canada, greenhouse gas (GHG) emissions continue to remain high despite the federal government's commitment to reduce GHG emissions. Environmental policy across Canadian provinces has largely lacked consistency with some provinces implementing targeted policy such as carbon taxes while others have strongly resisted the federal government's attempts to encourage such policy. This study examines the impact of environmental policy on GHG gas emissions across Canadian provinces with policy uniquely measured by public and business sector spending on environmental protection as well as notable province-specific policies. An extended STIRPAT model is specified with the inclusion of proxies for environmental policy using panel data from Canada's ten provinces from 1995 to 2019. The cointegration and the error correction modelling approaches are employed to estimate the non-stationary panel data. A pooled mean group estimation is applied to provide short run and long run coefficients. The findings indicate that although per capita GDP is the main driver of GHG emissions in Canada, environmental policy has a significant mitigating effect, as shown by the negative association between emissions and private and public sector spending on environmental protection in the long run. Furthermore, provinces with targeted policies, such as Ontario's coal phase-out and British Columbia's carbon tax, experienced significant emissions reductions. The theoretical implication is the successful addition of policy variables to the STIRPAT model, providing the model a new application for future research. [Display omitted] • Assess the impact of environmental protection policies on per capita greenhouse gas emissions in Canada. • Utilize public and private expenditures on environmental protection, along with provincial policies. • Extend the STIRPAT model to incorporate environmental protection policies in an empirical model. • Demonstrate a significant negative relationship between environmental protection policies and GHG emissions. • Offer insights with implications for global environmental sustainability efforts. [ABSTRACT FROM AUTHOR]

Background Studies suggest that fatty acid status influences breast cancer etiology, yet the roles of individual fatty acids in breast cancer risk are unclear, specifically when central adiposity and menopausal status are considered. Objectives This study examined the associations of fatty acid status with breast cancer risk including location, menopausal status, and waist-to-hip ratio as key variables. Methods Prediagnostic plasma phospholipid fatty acids were measured in women with breast cancer (n  = 393) and age-matched controls (n  = 786) from a nested case-control prospective study within Alberta's Tomorrow Project (ATP) and British Columbia Generations Project (BCGP) cohorts. Binary logistic regression models were used to evaluate associations of fatty acids and breast cancer risk with subgroup analysis for menopausal status and waist-to-hip ratio. Results Women from BCGP had a higher n–3 (ɷ-3) fatty acid status compared with the ATP (6.4% ± 0.08% vs. 5.3% ± 0.06%; P  < 0.001), so subsequent analysis was blocked by cohort. Overall, fatty acids had inconsistent associations with risk. In the ATP among premenopausal women, total long-chain n–3 fatty acids (ORQ4vsQ1 = 1.78; 95% CI: 0.58, 5.43; P- trend = 0.007, P- interaction = 0.07) were positively associated with breast cancer risk, whereas in BCGP, DHA (ORQ4vsQ1 = 0.66; 95% CI: 0.28, 1.53; P- trend = 0.03, P- interaction = 0.05) and total long-chain n–3 fatty acids (ORQ4vsQ1 = 0.66; 95% CI: 0.28, 1.54; P- trend = 0.03) were associated with decreased cancer risk when the waist-to-hip ratio was <0.85. Conclusions Our findings suggest that regional variations in fatty acid status influence breast cancer risk, resulting in positive associations of total long-chain n–3 fatty acids in premenopausal ATP women and negative associations of these fatty acids in BCGP women with a waist-to-hip ratio below guidelines. This study highlights the complexity and difficulty in using fatty acid status to predict breast cancer risk in diverse populations without the consideration of other risk factors. [ABSTRACT FROM AUTHOR]

The present study empirically investigates whether targeted government spending and environmental policies promote green growth, as measured by greenhouse gas productivity. Government spending for pollution abatement (GEPA) represents non-market environmental policies encompassing both enforcement regulations and stakeholder incentives, while policy dummy represents province specific targeted environmental policies. Using panel data from 1995 to 2020 across ten provinces of Canada, an empirical model based on STIRPAT has been developed and estimated, addressing various econometric issues to ensure the robustness and consistency of the results. The findings confirm that both GEPA and targeted environmental policies are crucial determinants in achieving green growth. Additionally, variables such as business sector expenditures for R&D, the share of renewable energy, per capita GDP, and population also contribute to green growth. These results highlight the importance of the stick-and-carrot approach as a key strategy and policy tool for sustainable development. The implications of these findings extend beyond Canada and hold valuable lessons for emerging and developing countries that predominantly rely on command-and-control regulations without adequate support. To effectively address the challenge of achieving green growth, a coordinated approach that combines targeted government spending and environmental policies, supported by innovation and renewable energy exploration, is essential. Overall, this study's findings have significant implications for environmental sustainability on a global scale. [Display omitted] • Examines the effect of targeted government spending and environmental policies on green growth in Canada. • Uses greenhouse gas productivity as an index of green growth. • Estimates the empirical model developed addressing advanced econometric issues related to panel data for 1995–2020. • Controls renewable energy, innovation, per capita income, population. • Have significant implications for environmental sustainability on a global scale. [ABSTRACT FROM AUTHOR]

Through survey and focus groups in two provinces in Canada misunderstanding and confusion surrounding Low-Dose Ionizing Radiation (LDIR) is explored specifically surrounding medical procedures, risk, and benefits. Generally people associated the word radiation with harm, but when asked participants were not concerned about LDIR. Approximately equal numbers (40%) thought LDIR was 'difficult' as those that thought it was 'easy' but research results reveal confusion about the definition of and sources of LDIR. Most people believed the benefits of LDIR outweighed the risks. Further, many had inaccurate views of 'high' dose radiation. Scientists and the Canadian regulator were determined to be the most trusted sources of information while elected officials and industry representatives the least trusted. Participants wanted more information on whether LDIR was a problem in Canada, what the risks were associated with it, as well as the applicable protections, rules and regulations. Focus group participants expressed a preference for face-to-face exchange of information, but mass media remains an important source of information as the first-place people check for answers. Future research surrounding behavioural science and LDIR communications, and deep LDIR science communication will be important in addressing this issue. • People do not have high levels of knowledge of low dose ionizing radiation (LDIR). • Most people respond well to the term LDIR and believe benefits outweigh negatives. • Scientists are most trusted communicators followed by the regulator. • Some participants wanted more information surrounding radiation. [ABSTRACT FROM AUTHOR]

• A novel bridge weigh-in-motion method is presented using parametric dynamic bridge-vehicle interaction formulation. • Modal parameters extracted from ambient vibration tests are used to accurately simulate the bridge structures. • The formulation offers superior computational efficiency since it eliminates the need for calibrated finite element models. • The proposed method resulted in accurate estimations even when the vehicle travel path differs from calibrations. • The Proposed method was validated using a full-scale case-study arterial highway bridge in Canada. Dynamic bridge weigh in motion systems use models that can simulate the dynamic behaviour of a bridge subjected to moving traffic. Currently available models use complex and computationally expensive Moving Force Identification (MFI) methods that utilize finite element models to estimate the bridge torsional and transverse dynamic behaviour. This paper presents a novel dynamic parametric BWIM method that utilizes the experimentally estimated modal parameters for simulating the response of a bridge structure to moving loads. The estimated modes of an in-situ structure inherently capture the true bridge behaviour for any generalized geometry, boundary conditions and load position. Therefore, it enables the complex torsional and transverse bending behaviour of the bridge to be captured. In this paper, the mathematical derivation of the analytical model is presented in detail, then model calibration and weighing procedures are outlined, followed by the validation of the proposed method using a full-scale case study arterial highway bridge in the Canadian Province of New Brunswick. The proposed dynamic BWIM method offers a novel solution for the development of real-time BWIM systems that is efficient to calibrate and accurate in vehicle identification. [ABSTRACT FROM AUTHOR]

This study addresses a gap that exists in studying waste business characteristics and the performance of a waste management system (WMS). Temporal and spatial analyses of the WMS in four Western Canadian provinces are systematically assessed over a 16-year period. The average waste business size in Canada ranged from 13.4 to 22.1 employees per business. Jurisdictions with lower disposal rates generally have larger waste companies. An average employee handled 1098 to 1426 t of waste annually. The diversion rates tended to be higher when less waste is managed per employee, suggesting total employee count may be important to improve WMS sustainability in Canada. Waste transfer costs are substantial during the study period, totaled $1276 million annually, or about 40.7% of the total government waste spending. BC only spent an average of 2.5% of the budget on operation of recycling facilities, but has the highest waste diversion rate. Expenditure distribution alone is unable to explain BC's superior waste diversion performance. Capital expenditures have been increasing from $15.7/t to $26.2/t. In this study, a business with more full-time employees correlates well with higher operating revenues. Part time workers were more predominant in SK, and may be responsible for the subpar diversion rate and operating revenue. More research is needed to determine waste business characteristics given increasing interest in circular economy and WMS efficiency. • Waste management systems (WMS) in Canada are examined over a 16-year period • Capital expenditures increased gradually, with an average of $22.7/t • Total employee count may be vital to improve WMS sustainability in Canada • A business with more full-time employees correlates with higher operating revenues • Studies on business characteristics and their effect on WMS performance are limited [ABSTRACT FROM AUTHOR]

Carbon dioxide (CO 2) emissions from community-based consumption are a major contributor to global greenhouse gas emissions. However, little is understood about how demographic, socioeconomic, and household factors may contribute to community CO 2 emissions variation. Using traditional regression methods to model community emissions does not discriminate which of these factors are responsible for CO 2 emissions in high carbon emitting communities versus low carbon emitting communities, leading to policy development that does not consider emission variation across communities. To address this issue, we used quantile regression to model these effects on different quantiles of community emissions for 1451 communities across Canada and each province in 2015, respectively. The results showed that population, followed by affluence, were the most important variables affecting total community emissions, while affluence was the most important factor affecting per capita community emissions. However, the effect sizes were not consistent across quantiles, decreasing for population and increasing for affluence from low to high emission communities. Population density was significant across all communities except the lowest quantile communities, with the effect size increasing from smaller to larger communities. Additionally, our measure of poverty was significantly associated with increases in total and per capita emissions for all quantiles at the national level. Our finding that factors responsible for CO 2 emissions varied across communities of different quantiles suggests that successful emission reduction policies must account for the diversity of community characteristics, particularly considering variation in population and affluence. Our study also shows poverty alleviation is an effective means for CO 2 emission reduction and should be considered when adopting emission reduction policies. • We used quantile regression to model the variation in community CO 2 emissions. • Factors responsible for CO 2 varied greatly from low to high CO 2 emission quantiles. • Population and affluence affected CO 2 most but were inconsistent across quantiles. • Emission reduction policies must account for these community emission variations. • Poverty alleviation could have the co-benefit of limiting community CO 2 emissions. [ABSTRACT FROM AUTHOR]

The heavy reliance on information and communication technology (ICT) has prompted the importance of cyber security more than ever in history. Although there are various studies that explored the importance of cybersecurity solutions, the impact of production and usage of these solutions on the natural environment and their economic impact has been rarely researched. The objective of this research is to investigate the environmental and economic impact of cybersecurity solutions. An extensive Life Cycle Assessment (LCA) has been performed on three cybersecurity solutions to assess and compare their environmental impact. Based on global warming potential, the embodied carbon footprint was determined. Carbon footprint and operational costs were used to calculate Life Cycle Cost (LCC) analysis and these data were then used to compare the eco-efficiency of the three cybersecurity solutions. This research compares three cybersecurity solutions: Next Generation DataGuard (NGD), Current State of Art Solution (CSAS), and a Generic Cybersecurity Solution (GCS), to identify an economically viable and environmentally friendly cybersecurity solution. The result of the analysis indicated that NGD was approximately 58% and 88% more energy-efficient than CSAS and GCS, respectively. Also, the LCC of NGD was approximately 6%- 12% lower than CSAS and 22%- 40% lower than GCS in selected provinces in Canada. The eco-efficiency of CSAS was approximately 60% less than NGD. Next Generation DataGuard is found to be a successful solution in this research among the three solutions. This study will be useful to researchers, cybersecurity industries, and policymakers to develop informed decisions on cybersecurity solutions. [Display omitted] • The life cycle environmental and economic performance of three cybersecurity solutions were compared. • Next Generation DataGuard (NGD) was approximately 58% and 88% more energy-efficient than current state of art solution and generic cybersecurity solution, respectively. • The NGD displayed superior environmental and economic performance for all Canadian cities. [ABSTRACT FROM AUTHOR]

There is strong evidence for climate change leading to a rise in temperatures and a change in precipitation trends. These environmental changes pose a threat to pavement infrastructure worldwide. Therefore, it is necessary to modify pavement design procedures to consider climate change. In addition, it is necessary to consider suitable pavement materials for future climate. The objective of this study is to develop a framework for selecting an appropriate adaptation strategy to mitigate climate change impact. To fulfill this, the influence of climate change on long-term pavement performance in Canada has been quantified over sixteen Canadian pavement sections located over various provinces in Canada. In addition, the fundamental causes of pavement deterioration due to climate change were determined using ten different climate change models. Various adaptation strategies such as upgrading asphalt binder grade, increasing the thickness of asphaltic concrete layer, increasing the base layer thickness, and using stabilized base layers were analyzed to reduce pavement deterioration and to extend the service life of the pavement. Unlike the other studies, pavement temperatures were determined using Enhanced Integrated Climate Model (EICM) to determine the change in binder grade for the future climate in the adaptation process. The study found that by 2070 all examined locations will require an upgrade in binder grade and the majority will require an upgrade in mixture gradation. Furthermore, the east and west coast will be more vulnerable to climate change and require additional measures in comparison to Central Canada. Newfoundland and Prince Edward Island are the only locations that will need to consider a change in asphalt thickness while British Columbia is the only location eventually requiring a stabilized base. This study emphasizes the necessity of climate change adaptation strategies for Canadian asphaltic concrete pavements. [Display omitted] • Different combinations of adaptation strategies are necessary at each location. • The Canadian coasts generally require more adaptation measures than Central Canada. • By 2070, all Canadian provinces will require an upgrade in asphalt binder. [ABSTRACT FROM AUTHOR]

In terms of energy resources, Canada is an important player on the world scene. However, the energy systems of the Canadian provinces and territories are much diversified and a national energy strategy is missing in order to optimize the management of energy systems. The objective of this paper is twofold. First, we introduce TIMES-Canada, a new multi-regional energy model that has been developed using the most advanced TIMES optimization modeling framework, while keeping a very high level of details in the database (5000 specific technologies; 400 commodities) compared with other Canadian energy models. Second, we define and analyze possible futures for the Canadian integrated energy system on a 2050 horizon, under five different baselines: a Reference scenario as well as four alternate scenarios corresponding to different oil prices (Low and High) and socio-economic growth trends (Slow and Fast). In our Reference scenario, we show that the Canadian final energy consumption is expected to increase by 43% between 2007 and 2050. The Fast scenario leads to the maximum increase compared with the Reference scenario (21% in 2050). In all scenarios, oil products will continue to dominate on the long term, although in a decreasing proportion over time (from 43% in 2007 to 29% in 2050) in favor of electricity (31% of the additional demand in 2050) and biomass/biofuels. Regarding the corresponding optimal energy production paths, we illustrate two main trends: (1) a gradual replacement of onshore conventional oil & gas sources by unconventional and offshore sources (oil sands is expected to represent half of the production in 2050), and (2) a significant penetration of renewables in the electricity mix is shown after 2035 due to increases in oil import prices and decreases in renewable technology costs. The development and calibration of such a detailed technology-rich model represent an important contribution for Canada: TIMES-Canada is the only optimization model covering in details the large diversity of provincial energy systems on a long term horizon. [ABSTRACT FROM AUTHOR]

Displacement of fossil fuels by forest bioenergy can contribute to climate change mitigation by reducing greenhouse gas (GHG) emissions. However, GHG savings are not realised until the avoided fossil emissions offset the loss of atmospheric carbon (C) that would have been sequestered if the biomass was not used for bioenergy (i.e. time to C sequestration parity). We estimated the potential for mitigating GHG emissions and the timing of these atmospheric benefits when substituting conventional natural gas (NG) with renewable natural gas (RNG) produced from different forestry feedstocks within three Canadian provinces, and assessed the uncertainty among these estimates. We calculated the GHG balance of RNG using the alternative fate of biomass and the use of NG as base-case scenarios. Immediate to long-term time to C sequestration parity was typically in the order of residues burned < mill residues < harvest residues decaying on site < salvaged trees. The potential GHG savings from using harvest and mill residues to produce RNG within the three provinces ranged from 52.4 to 77.8 Mt CO 2eq a−1. Sensitivity analyses suggest that time to C sequestration parity in the best-case scenarios relative to the baseline can be reduced up to 17 years by using harvest residues that decay rapidly (based on feedstock species, size and geographic region), and reduced up to 8 years by improving the efficiency of the thermochemical conversion process. These two considerations are key for ensuring significant GHG reductions from RNG use within a timescale that helps Canada meet its GHG mitigation targets. • Immediate GHG benefits for RNG produced with residues otherwise burned on site. • No short-term C sequestration parity time for RNG produced with forest residues. • C sequestration parity time >100 years for RNG produced with salvaged trees. • Potential net GHG savings of 52.4–77.8 Mt CO 2eq.year−1 for RNG use. [ABSTRACT FROM AUTHOR]