Scientific Opinion about the Guidance of the Chemical Regulation Directorate (UK) on how aged sorption studies for pesticides should be conducted, analysed and used in regulatory assessments

Abstract The EFSA Panel on Plant Protection Products and their Residues reviewed the guidance on how aged sorption studies for pesticides should be conducted, analysed and used in regulatory assessment. The inclusion of aged sorption is a higher tier in the groundwater leaching assessment. The Panel based its review on a test with three substances taken from a data set provided by the European Crop Protection Association. Particular points of attention were the quality of the data provided, the proposed fitting procedure of aged sorption experiments and the proposed method for combining results obtained from aged sorption studies and lower‐tier studies on degradation and adsorption. Aged sorption was a relevant process in all cases studied. The test revealed that the guidance could generally be well applied and resulted in robust and plausible results. The Panel considers the guidance suitable for use in the groundwater leaching assessment after the recommendations in this Scientific Opinion have been implemented, with the exception of the use of field data to derive aged sorption parameters. The Panel noted that the draft guidance could only be used by experienced users because there is no software tool that fully supports the work flow in the guidance document. It is therefore recommended that a user‐friendly software tool be developed. Aged sorption lowered the predicted concentration in groundwater. However, because aged sorption experiments may be conducted in different soils than lower‐tier degradation and adsorption experiments, it cannot be guaranteed that the higher tier predicts lower concentrations than the lower tier, while lower tiers should be more conservative than higher tiers. To mitigate this problem, the Panel recommends using all available higher‐ and lower‐tier data in the leaching assessment. The Panel further recommends that aged sorption parameters for metabolites be derived only from metabolite‐dosed studies. The formation fraction can be derived from parent‐dosed degradation studies, provided that the parent and metabolite are fitted with the best‐fit model, which is the double first‐order in parallel model in the case of aged sorption

Forêt urbaine, végétation et développement de l’asthme infantile

Contexte : L’influence de la végétation urbaine sur le développement de l’asthme infantile est controversée. Il est avancé que les arbres (canopée urbaine) réduisent la pollution atmosphérique, un facteur de risque de l’asthme mais également, que certains peuvent émettre des pollens et des composés organiques volatils biogéniques, tout-autant des facteurs de risque pour le développement de l’asthme chez l’enfant. Cependant, les risques associés à la canopée urbaine ont été étudiés à l’aide de données rudimentaires souvent, sans considération pour la saison. Objectifs : 1) Caractériser l’association entre la végétation urbaine et le développement de l’asthme en distinguant la végétation totale et de la canopée des feuillus et de conifères, en fonction des saisons de production de pollens et de feuilles des arbres. 2) Évaluer l’influence de la canopée d’arbres sur l’association entre les particules fines (PM2.5) et le développement de l’asthme infantile. Méthodes : Nous avons utilisé les données d’une cohorte de naissance ouverte contenant tous les enfants nés sur l’île de Montréal (Canada) entre 2000 et 2015 et suivis jusqu’à leurs 12 ans, créée à partir de données médico-administratives agrégées. L’exposition à la végétation totale a été estimée à l’aide d’une mesure satellitaire appelée l’indice de végétation par différence normalisée (NDVI) et l’exposition à la canopée urbaine, a été estimée à l’aide de données de télédétection laser aéroporté - LiDAR permettant d’estimer l’aire de la canopée des feuillus et des conifères dans un rayon de 250 m autour de la résidence des participants, tout au long du suivi. En dehors des saisons de pollens et de feuilles des arbres, les variables d’expositions ont été fixées à zéro. Des modèles de risque proportionnels de Cox ont été développés pour estimer le risque associé au NDVI et aux canopées d’arbres lors de la saison de pollens et de feuilles des arbres. La non-linéarité a été modélisée à l’aide de catégories et de splines cubiques pour les expositions. Nous avons ensuite évalué l’effet de la canopée urbaine sur l’association entre les particules fines (PM2.5) et le développement de la maladie. Résultats : Parmi les 352 946 enfants inclus dans la cohorte et suivis pour un total de 1,7 millions de personnes-années, 30 816 nouveaux cas d'asthme ont été identifiés pour un taux moyen de nouveaux cas d’asthme était de 17,79 nouveaux cas par 1 000 personnes-années. Le NDVI moyen annuel s’élevait à 0,365 (Écart-type (ET) : 0,106) dans un rayon de 250 m centré sur la résidence des participants. En saison de pollens, le NDVI moyen se réduisait à 0,089 (ET : 0,106) et à 0,15 (ET : 0,185) en saison de feuilles. En moyenne, les enfants étaient exposés à trois fois plus de canopées de feuillus (moyenne = 12,3 (ET : 17,0) ×103 m2) que de conifères en saison de feuilles (moyenne= 4,5 (ET : 4,3) ×103 m2), et sept fois plus en saison de pollens. Nos analyses ont révélé des associations distinctes en fonction des saisons pour le NDVI et la canopée de feuillus. Trop peu de conifères étaient présents pour tirer des conclusions quant à leur effet. Les analyses à l’aide des splines cubiques pour les expositions ont indiqué la présence de relations non-linéaires. La catégorisation des expositions a indiqué que des niveaux moyens de canopée de feuillus en saisons de feuilles avaient un effet protecteur lorsque comparés aux non-exposés (Rapport de Risque (RR): 0,694 ; Intervalle de confiance (IC95%) : 0,680 – 0,708). À l’inverse, pour les journées de pollens, la canopée de feuillus autour de la résidence était associée à l’augmentation du risque (RR =1,082 (IC95% 1,056 – 1,108)). Pour les catégories de NDVI annuel (non subdivisé par saisons), aucune association n’a été détectée. Pour finir, la canopée d’arbres et le NDVI n’ont influencé que très faiblement l’association entre les PM2.5 régionaux et le développement de l’asthme infantile. Cependant, une légère interaction a été observée entre les feuillus en saison de feuilles et les PM2.5. Des niveaux élevés de feuillus autour de la résidence en période de feuilles diminueraient le risque d’asthme associé à l’exposition aux PM2.5. Discussions : Les résultats suggèrent que l’effet de la végétation varie en fonction des saisons. L’effet capté par le NDVI semble être en grande partie attribuable à la canopée de feuillus. L’influence de la végétation sur l’association entre les PM2.5 et le développement de l’asthme est très faible.Background: The influence of urban vegetation and tree canopy on the development of childhood asthma is controversial. It is argued that trees reduce air pollution, a risk factor for asthma, but at the same time, some species emit pollens and biogenic volatile organic compounds, all of which are risk factors for the development of asthma in children. Yet, the risks associated with the urban canopy have been studied using rudimentary data, often without consideration for the season. Objectives: 1) To characterize the association between urban vegetation and asthma development by distinguishing between total vegetation and deciduous and evergreen tree canopy, according to the pollen and leaf-on seasons. 2) To assess the influence of tree canopy on the association between fine particulate matter (PM2.5) and the development of childhood asthma. Methods: We used data from an open birth cohort containing all children born on the island of Montreal, Canada, between 2000 and 2015 and followed up until their 13th birthday, created from aggregated medico-administrative data. Exposure to total vegetation was estimated using a satellite measure called the normalized difference vegetation index (NDVI). Exposure to the urban canopy was estimated using LiDAR, an airborne remote laser sensing technology that was used to estimate the area of the deciduous and coniferous canopy within a 250 m buffer centered on participants' residential postal codes, updated throughout the follow-up. Outside of the pollen and tree leaf-on seasons, exposure variables were set to zero. Cox proportional hazard models were developed to estimate the risk associated with NDVI and tree canopies for the pollen and tree leaf-on seasons. Nonlinearity was modeled using categories and restricted cubic splines for exposures variables. We then assessed the effect of the urban canopy on the association between fine particulate matter (PM2.5) and asthma development. Results: Among the 352,946 children included in the cohort and followed for a total of 1.7 million person-years, 30,816 new asthma cases were detected, for an average incidence rate of 17.79 new cases per 1,000 person-years. The mean annual NDVI was 0.365 (Standard Deviation (SD): 0.106) within a 250 m buffer centered on participants' residential postal codes. In the pollen season, the mean NDVI was reduced to 0.089 (SD: 0.106) and to 0.15 (SD: 0.185) for the leaf-on season. On average, children were exposed to three times as much deciduous canopy (mean= 12.3 (SD: 17.0) ×103 m2) as coniferous canopy in leaf-on season (mean= 4.5 (SD: 4.3) ×103 m2), and seven times as much in pollen season. Our analyses revealed distinct associations by season for NDVI and deciduous trees. Too few evergreens were present to draw conclusions about their effect. Cubic spline analyses for exposures indicated the presence of nonlinear relationships. Exposure categorization indicated that average levels of deciduous trees canopy in the leaf-on season had a protective effect when compared to unexposed (Hazard Ratio (HR): 0.694; Confidence Interval (CI95%): 0.680 - 0.708). Conversely, for pollen days, the residential deciduous canopy was associated with increased risk (HR =1.082 (CI95% 1.056 - 1.108)). For annual NDVI categories (not subdivided by season), no association was detected. Finally, tree canopy and NDVI only weakly influenced the association between regional PM2.5 and childhood asthma development. However, a slight interaction was observed between leaf-on-season deciduous canopy and PM2.5. High levels of deciduous trees canopy at residential postal codes during the leaf-on season decrease the risk of asthma associated with PM2.5 exposure. Discussion: Our results suggest that the effect of vegetation varies with season. The effect captured by NDVI appears to be largely due to the deciduous canopy. The influence of vegetation on the association between PM2.5 and asthma development appeared to be marginal

Extramedullary haemopoiesis and spinal cord compression.

Ethiopia's average life expectancy has improved by more than 18 years from 1990 to 2015. This initiated interest to study the gain in life expectancy with respect to age structure and cause of death. Applying a life expectancy decomposition technique on secondary data obtained from the Institute of Health Metrics and Evaluation, the study found that the burden of disease in Ethiopia has declined from 626.18 in 1990 to 225.69 in 2015 per 1000 population measured in age-standardized rate of life years lost. The major causes of burden in 1990; namely lower respiratory tract infections, neonatal disorders, diarrheal diseases and neglected tropical diseases at rates of 89.2, 63.2, 61.2, and 42.2 age-standardized years of life lost per 1000 population respectively; have shown a fast decline in 2015. Deaths from neglected tropical disease showed 94.95% reduction, contributing to 5.71(27.30%) years gain in life expectancy followed by lower respiratory tract infection and diarrheal disease contributing about 4.65 years (22.23%) and 1.48 years (7.10%) respectively. On the other hand, about 3.3 (15.73%) years and 6.4 (30.71%) years of increase in life expectancy are achieved through improved longevity in infants and children aged 1-4 years respectively. In conclusion, the study found that reductions in under-five child mortality and decline in burden of major communicable diseases could explain the major gain in life expectancy. However, findings also revealed that the prevalence of non-communicable diseases and injuries are on the rise calling for the need to be addressed by the public health system

Large-scale infectious disease testing programs have little consideration for equity: findings from a scoping review

International audienceObjective This scoping review aimed to identify how equity has been considered in large-scale infectious disease testing initiatives. Study Design and Setting Large-scale testing interventions are instrumental for infectious disease control and a central tool for the coronavirus 19 (COVID-19) pandemic. We searched Web of Science: core collection, Embase and Medline in June 2021 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations for scoping reviews. We critically analyzed the content of all included articles. Results Our search resulted in 2448 studies of which 86 were included for data extraction after screening. Of the included articles, 80% reported on COVID-19 -related screening programs. None of the studies presented a formal definition of (in)equity in testing, however, 71 articles did indirectly include elements of equity through the justification of their target population. Of these 71 studies, 58% articles indirectly alluded to health equity according to the PROGRESS-Plus framework, an acronym used to identify a list of socially stratifying characteristics driving inequity in health outcomes. Conclusion The studies included in our scoping review did not explicitly consider equity in their design or evaluation which is imperative for the success of infectious disease testing programs

Scientific statement on the coverage of bats by the current pesticide risk assessment for birds and mammals

Abstract Bats are an important group of mammals, frequently foraging in farmland and potentially exposed to pesticides. This statement considers whether the current risk assessment performed for birds and ground dwelling mammals exposed to pesticides is also protective of bats. Three main issues were addressed. Firstly, whether bats are toxicologically more or less sensitive than the most sensitive birds and mammals. Secondly, whether oral exposure of bats to pesticides is greater or lower than in ground dwelling mammals and birds. Thirdly, whether there are other important exposure routes relevant to bats. A large variation in toxicological sensitivity and no relationship between sensitivity of bats and bird or mammal test‐species to pesticides could be found. In addition, bats have unique traits, such as echolocation and torpor which can be adversely affected by exposure to pesticides and which are not covered by the endpoints currently selected for wild mammal risk assessment. The current exposure assessment methodology was used for oral exposure and adapted to bats using bat‐specific parameters. For oral exposure, it was concluded that for most standard risk assessment scenarios the current approach did not cover exposure of bats to pesticide residues in food. Calculations of potential dermal exposure for bats foraging during spraying operations suggest that this may be a very important exposure route. Dermal routes of exposure should be combined with inhalation and oral exposure. Based on the evidence compiled, the Panel concludes that bats are not adequately covered by the current risk assessment approach, and that there is a need to develop a bat‐specific risk assessment scheme. In general, there was scarcity of data to assess the risks for bat exposed to pesticides. Recommendations for research are made, including identification of alternatives to laboratory testing of bats to assess toxicological effects

Scientific Opinion about the Guidance of the Chemical Regulation Directorate (UK) on how aged sorption studies for pesticides should be conducted, analysed and used in regulatory assessments

The EFSA Panel on Plant Protection Products and their Residues reviewed the guidance on how aged sorption studies for pesticides should be conducted, analysed and used in regulatory assessment. The inclusion of aged sorption is a higher tier in the groundwater leaching assessment. The Panel based its review on a test with three substances taken from a data set provided by the European Crop Protection Association. Particular points of attention were the quality of the data provided, the proposed fitting procedure of aged sorption experiments and the proposed method for combining results obtained from aged sorption studies and lower-tier studies on degradation and adsorption. Aged sorption was a relevant process in all cases studied. The test revealed that the guidance could generally be well applied and resulted in robust and plausible results. The Panel considers the guidance suitable for use in the groundwater leaching assessment after the recommendations in this Scientific Opinion have been implemented, with the exception of the use of field data to derive aged sorption parameters. The Panel noted that the draft guidance could only be used by experienced users because there is no software tool that fully supports the work flow in the guidance document. It is therefore recommended that a user-friendly software tool be developed. Aged sorption lowered the predicted concentration in groundwater. However, because aged sorption experiments may be conducted in different soils than lower-tier degradation and adsorption experiments, it cannot be guaranteed that the higher tier predicts lower concentrations than the lower tier, while lower tiers should be more conservative than higher tiers. To mitigate this problem, the Panel recommends using all available higher- and lower-tier data in the leaching assessment. The Panel further recommends that aged sorption parameters for metabolites be derived only from metabolite-dosed studies. The formation fraction can be derived from parentdosed degradation studies, provided that the parent and metabolite are fitted with the best-fit model, which is the double first-order in parallel model in the case of aged sorption