Le retour au travail dans un contexte de barrières linguistiques : Une étude comparative des politiques et des pratiques d’indemnisation des victimes de lésion professionnelle au Québec et en Ontario

La façon dont les régimes d’indemnisation des victimes de lésion professionnelle doivent tenir compte des barrières linguistiques est d’une importance capitale à la lumière de la diversification linguistique croissante du Canada. S’appuyant sur des entrevues menées auprès de travailleurs accidentés et d’informateurs clés, cette étude est la première à examiner, de manière empirique, les politiques et les pratiques du retour au travail sous l’angle des barrières linguistiques. En comparant les juridictions du Québec et de l’Ontario, l’étude met en lumière des similitudes et des différences touchant les accommodements linguistiques ainsi que les politiques et les pratiques du retour au travail qui déterminent les expériences des travailleurs accidentés ayant des besoins linguistiques. Elle fait valoir que les lacunes à cet égard, qui sont plus marquées au Québec, contribuent à un faible retour au travail pour ces travailleurs dans les deux provinces.The question of how workers’ compensation systems should account for language barriers is of increasing importance given Canada’s growing linguistic diversity. This study is the first to empirically examine, based on interviews with injured workers and key informants, return-to-work policies and practices through the lens of language barriers. By comparing two jurisdictions, Quebec and Ontario, the study highlights similarities and differences in language accommodation and return-to-work policies and practices that shape the experiences of injured workers with language needs. It argues that gaps in this regard, which are more pronounced in Quebec, contribute to poor return-to-work outcomes for these workers in both provinces

Return-to-Work in a Language Barrier Context : Comparing Quebec’s and Ontario’s Workers’ Compensation Policies and Practices

The question of how workers’ compensation systems should account for language barriers is of increasing importance given Canada’s growing linguistic diversity. This study is the first to empirically examine, based on interviews with injured workers and key informants, return-to-work policies and practices through the lens of language barriers. By comparing two jurisdictions, Quebec and Ontario, the study highlights similarities and differences in language accommodation and return-to-work policies and practices that shape the experiences of injured workers with language needs. It argues that gaps in this regard, which are more pronounced in Quebec, contribute to poor return-to-work outcomes for these workers in both provinces.La façon dont les régimes d’indemnisation des victimes de lésion professionnelle doivent tenir compte des barrières linguistiques est d’une importance capitale à la lumière de la diversification linguistique croissante du Canada. S’appuyant sur des entrevues menées auprès de travailleurs accidentés et d’informateurs clés, cette étude est la première à examiner, de manière empirique, les politiques et les pratiques du retour au travail sous l’angle des barrières linguistiques. En comparant les juridictions du Québec et de l’Ontario, l’étude met en lumière des similitudes et des différences touchant les accommodements linguistiques ainsi que les politiques et les pratiques du retour au travail qui déterminent les expériences des travailleurs accidentés ayant des besoins linguistiques. Elle fait valoir que les lacunes à cet égard, qui sont plus marquées au Québec, contribuent à un faible retour au travail pour ces travailleurs dans les deux provinces

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England.

Background: Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the patient’s “bed pathway” - the sequence of transfers of individual patients between bed types during a hospital stay. In this study, we characterise these pathways, and their impact on predicted hospital bed occupancy. Methods: We obtained data from University College Hospital (UCH) and the ISARIC4C COVID-19 Clinical Information Network (CO-CIN) on hospitalised patients with COVID-19 who required care in general ward or critical care (CC) beds to determine possible bed pathways and LoS. We developed a discrete-time model to examine the implications of using either bed pathways or only average LoS by bed type to forecast bed occupancy. We compared model-predicted bed occupancy to publicly available bed occupancy data on COVID-19 in England between March and August 2020. Results: In both the UCH and CO-CIN datasets, 82% of hospitalised patients with COVID-19 only received care in general ward beds. We identified four other bed pathways, present in both datasets: “Ward, CC, Ward”, “Ward, CC”, “CC” and “CC, Ward”. Mean LoS varied by bed type, pathway, and dataset, between 1.78 and 13.53 days. For UCH, we found that using bed pathways improved the accuracy of bed occupancy predictions, while only using an average LoS for each bed type underestimated true bed occupancy. However, using the CO-CIN LoS dataset we were not able to replicate past data on bed occupancy in England, suggesting regional LoS heterogeneities. Conclusions: We identified five bed pathways, with substantial variation in LoS by bed type, pathway, and geography. This might be caused by local differences in patient characteristics, clinical care strategies, or resource availability, and suggests that national LoS averages may not be appropriate for local forecasts of bed occupancy for COVID-19. Trial registration: The ISARIC WHO CCP-UK study ISRCTN66726260 was retrospectively registered on 21/04/2020 and designated an Urgent Public Health Research Study by NIHR.</p

The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020

Background: SARS-CoV-2 is known to transmit in hospital settings, but the contribution of infections acquired in hospitals to the epidemic at a national scale is unknown. Methods: We used comprehensive national English datasets to determine the number of COVID-19 patients with identified hospital-acquired infections (with symptom onset > 7 days after admission and before discharge) in acute English hospitals up to August 2020. As patients may leave the hospital prior to detection of infection or have rapid symptom onset, we combined measures of the length of stay and the incubation period distribution to estimate how many hospital-acquired infections may have been missed. We used simulations to estimate the total number (identified and unidentified) of symptomatic hospital-acquired infections, as well as infections due to onward community transmission from missed hospital-acquired infections, to 31st July 2020. Results: In our dataset of hospitalised COVID-19 patients in acute English hospitals with a recorded symptom onset date (n = 65,028), 7% were classified as hospital-acquired. We estimated that only 30% (range across weeks and 200 simulations: 20–41%) of symptomatic hospital-acquired infections would be identified, with up to 15% (mean, 95% range over 200 simulations: 14.1–15.8%) of cases currently classified as community-acquired COVID-19 potentially linked to hospital transmission. We estimated that 26,600 (25,900 to 27,700) individuals acquired a symptomatic SARS-CoV-2 infection in an acute Trust in England before 31st July 2020, resulting in 15,900 (15,200–16,400) or 20.1% (19.2–20.7%) of all identified hospitalised COVID-19 cases. Conclusions: Transmission of SARS-CoV-2 to hospitalised patients likely caused approximately a fifth of identified cases of hospitalised COVID-19 in the “first wave” in England, but less than 1% of all infections in England. Using time to symptom onset from admission for inpatients as a detection method likely misses a substantial proportion (> 60%) of hospital-acquired infections

Age trends in asymptomatic and symptomatic Leishmania donovani infection in the Indian subcontinent: A review and analysis of data from diagnostic and epidemiological studies.

BackgroundAge patterns in asymptomatic and symptomatic infection with Leishmania donovani, the causative agent of visceral leishmaniasis (VL) in the Indian subcontinent (ISC), are currently poorly understood. Age-stratified serology and infection incidence have been used to assess transmission levels of other diseases, which suggests that they may also be of use for monitoring and targeting control programmes to achieve elimination of VL and should be included in VL transmission dynamic models. We therefore analysed available age-stratified data on both disease incidence and prevalence of immune markers with the aim of collating the currently available data, estimating rates of infection, and informing modelling and future data collection.Methodology/principal findingsA systematic literature search yielded 13 infection prevalence and 7 VL incidence studies meeting the inclusion criteria. Statistical tests were performed to identify trends by age, and according to diagnostic cut-off. Simple reversible catalytic models with age-independent and age-dependent infection rates were fitted to the prevalence data to estimate infection and reversion rates, and to test different hypotheses about the origin of variation in these rates. Most of the studies showed an increase in infection prevalence with age: from ≲10% seroprevalence (10% seroprevalence (>20% LST-positivity) for 30-40-year-olds, but overall prevalence varied considerably between studies. VL incidence was lower amongst 0-5-year-olds than older age groups in most studies; most showing a peak in incidence between ages 5 and 20. The age-independent catalytic model provided the best overall fit to the infection prevalence data, but the estimated rates for the less parsimonious age-dependent model were much closer to estimates from longitudinal studies, suggesting that infection rates may increase with age.Conclusions/significanceAge patterns in asymptomatic infection prevalence and VL incidence in the ISC vary considerably with geographical location and time period. The increase in infection prevalence with age and peaked age-VL-incidence distribution may be due to lower exposure to infectious sandfly bites in young children, but also suggest that acquired immunity to the parasite increases with age. However, poor standardisation of serological tests makes it difficult to compare data from different studies and draw firm conclusions about drivers of variation in observed age patterns

Le retour au travail après une lésion professionnelle pour les travailleuses et travailleurs en situation de précarité

Mise en relief des inégalités dans l’interprétation et l’application des dispositions de la Loi sur les accidents du travail et les maladies professionnelles (LATMP) portant sur le droit à la réadaptation professionnelle et au retour au travail. Les contributions à ce numéro nous convient à une remise en question de l’application actuelle du régime afin que les travailleuses et travailleurs en situation de précarité puissent accéder à l’égal bénéfice de la LATMP, et ce, en conformité avec son objectif de permettre une réinsertion en emploi durable à toutes les victimes de lésion professionnell

Ice-sheet height and thickness changes from ICESat to ICESat-2.

Elevation-change-rate estimates from the two missions have been corrected for firn-air content changes. For grounded ice, they have been corrected for changes in the elevation of the bedrock under the ice sheet, and for floating ice, the hydrostatic relation has been used to convert elevation changes to thickness changes. We provide a set of grids that contains fully corrected but unsmoothed gridded data, from which our calculations of drainage-by-drainage mass change were derived, and a second set of smoothed grids that are intended for display purposes only. Each set of grids provides ice-sheet surface height and thickness change rate in meters of ice per year (m/yr). Full details of the processing and analysis of these data are provided in Smith et al., (2020, Science). Two sets of files are provided in geotif format: one unfiltered set, which are suitable for mass-balance integrations, and a filtered set that have been smoothed for display, which match figures 2 and 3 in Smith et. al, 2020.These data represent ice-column thickness-change-rate estimates based on data from NASA's ICESat and ICESat-2 satellites. These data aided the first estimates of ice-sheet mass change from these two missions, spanning the 16 years from 2003 to 2019, taking advantage of the high vertical and horizontal resolution of the two satellites' laser altimeters.NASA grant numbers: NNX15AE15G, NNX15AC80G, NNX16AM01G, NNX17AI03G. NASA Cryospheric Sciences and MEaSUREs programs

Pervasive ice sheet mass loss reflects competing ocean and atmosphere processes.

Quantifying changes in Earth's ice sheets and identifying the climate drivers are central to improving sea level projections. We provide unified estimates of grounded and floating ice mass change from 2003 to 2019 using NASA's Ice, Cloud and land Elevation Satellite (ICESat) and ICESat-2 satellite laser altimetry. Our data reveal patterns likely linked to competing climate processes: Ice loss from coastal Greenland (increased surface melt), Antarctic ice shelves (increased ocean melting), and Greenland and Antarctic outlet glaciers (dynamic response to ocean melting) was partially compensated by mass gains over ice sheet interiors (increased snow accumulation). Losses outpaced gains, with grounded-ice loss from Greenland (200 billion tonnes per year) and Antarctica (118 billion tonnes per year) contributing 14 millimeters to sea level. Mass lost from West Antarctica's ice shelves accounted for more than 30% of that region's total

Segmentation and shielding of the most vulnerable members of the population as elements of an exit strategy from COVID-19 lockdown

This study demonstrates that an adoption of a segmenting and shielding strategy could increase the scope to partially exit COVID-19 lockdown while limiting the risk of an overwhelming second wave of infection. We illustrate this using a mathematical model that segments the vulnerable population and their closest contacts, the 'shielders'. Effects of extending the duration of lockdown and faster or slower transition to post-lockdown conditions and, most importantly, the trade-off between increased protection of the vulnerable segment and fewer restrictions on the general population are explored. Our study shows that the most important determinants of outcome are: (i) post-lockdown transmission rates within the general and between the general and vulnerable segments; (ii) fractions of the population in the vulnerable and shielder segments; (iii) adherence to protective measures; and (iv) build-up of population immunity. Additionally, we found that effective measures in the shielder segment, e.g. intensive routine screening, allow further relaxations in the general population. We find that the outcome of any future policy is strongly influenced by the contact matrix between segments and the relationships between physical distancing measures and transmission rates. This strategy has potential applications for any infectious disease for which there are defined proportions of the population who cannot be treated or who are at risk of severe outcomes. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'