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Background The objective of this study was to examine the aggregate rates of antibiotic use at the population level and compare these rates over time against historical averages to identify the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting control measures on community prescribing. Methods We collected antibiotic prescriptions and physician office visits from January 1, 2016, to July 21, 2020. We calculated monthly prescription rates stratified by sex, age group, profession, diagnosis type, and antibiotic class. We looked at monthly prescription rate as a moving average over time. Using the interrupted time series analysis method, we estimated the changes in prescription rates after March 2020. Results The moving average of overall monthly prescription rates during January–June 2020 was below the minimum of the historical years' moving averages (2016–2019). We observed a >30% reduction in overall monthly prescription rates in April, May, and July of 2020 compared with the same months of 2019. We observed that overall monthly prescription rates experienced a significant level change of –12.79 (P  < .001) during the coronavirus disease 2019 pandemic after March 2020, with the greatest level change being –18.02 among children 1–4 years of age (P  < .001). We estimated an average –5.94 (P  < .001) change in respiratory tract infection (RTI)–associated monthly prescription rates after March 2020. Overall prescription rates comparing January–July 2019 and their 2020 counterparts showed a decrease in monthly prescribing ranging from –1 to –5 for amoxicillin, amoxicillin and enzyme inhibitors, azithromycin, clarithromycin, and sulfamethoxazole. Conclusions In British Columbia, Canada, overall and RTI-specific monthly antibiotic prescription rates declined significantly during April–July 2020 compared with the same months in prepandemic years. [ABSTRACT FROM AUTHOR]

Aim To investigate the implementation of amplitude-integrated electroencephalography (aEEG) as bedside monitoring tool of cerebral function in tertiary Canadian Neonatal Intensive Care Units (NICU) over the past decade. Methods Longitudinal study consisting of online surveys of neonatologists on the use of aEEG in 2009 and 2018. Results The response rate to the survey was 72 of 149 (49%) in 2009 and 18 of 30 (60%) in 2018, respectively. aEEG has been implemented in almost all (2009: 62.5%; 2018: 94%) tertiary Canadian NICUs. Two-thirds (2009: 67%; 2018: 71%) of the respondents considered information from aEEG tracing helpful in clinical practice. The main indications for aEEG were term neonates with hypoxic ischemic encephalopathy (2009 and 2018: 76%) and seizure detection/surveillance (2009: 88%; 2018: 94%). Teaching on aEEG has been implemented for neonatologists (2018: 100%) and health care providers (2018: 50%) in tertiary Canadian NICUs but there is a lack of standardization of training. Use of aEEG in preterm neonates (2009: 37%, 2018: 33%) and application of aEEG in research (18% reported occasional use) is less common. Conclusion aEEG is well established in tertiary Canadian NICUs to monitor cerebral function and detect seizure activity. There is a need to develop formalized aEEG training programs and methods to assess competence. Further implementation of aEEG in preterm neonates and research is desirable. [ABSTRACT FROM AUTHOR]

Grazing of natural rangeland and seeded pasture is an important feeding strategy for the Canadian beef cattle industry. As a consequence, beef cattle population has a direct influence on the proportion of land base maintained as perennial forage, which in turn changes soil organic carbon (SOC) stocks. We examined historical relationships between the net change in SOC resulting from perennial/annual crop conversion and beef cattle populations. We observed strong negative linear relationships, both regionally and nationally, between the population of beef cattle and the estimated change in SOC (negative sign indicating soil C sink) resulting from the conversion of annual crops and vice versa. These relationships indicate that as beef cattle population declines there is a corresponding loss of SOC resulting from a reduction in the relative proportion of perennial to annual crops on the landscape. The annual C loss resulting from land use conversion was roughly equivalent to 62% (±13%) of the combined enteric and manure annual emissions of CH 4 and N 2 O [(1400 (±440) kg CO 2 eq head -1  yr -1 ] resulting in net greenhouse gas emissions of 850 (±360) kg CO 2 eq head -1  yr -1 . These results highlight the importance of an integrated analysis that considers land use conversion and its impact on SOC when assessing the environmental footprint associated with beef cattle production., (Copyright © 2020 Elsevier B.V. All rights reserved.)