Injury rate and patterns of Sydney grade cricketers : A prospective study of injuries in 408 cricketers

Background The grade cricket competition, also known as premier cricke

Impacts of the Pandemic on Social Determinants of Health in an Academic Emergency Department

ABSTRACT Introduction. The coronavirus 2019 (COVID-19) pandemic caused significant disruptions in daily life. Given the role that social determinants of health play in the overall well-being of individuals and populations, we wanted to determine the effects of the COVID-19 pandemic on our patient population in the emergency department (ED).  Methods: We adapted the Centers for Medicare and Medicaid Services social risk assessment to assess changes to participants’ social situations throughout the COVID-19 pandemic from January 2020–February 2021. The survey was administered within the ED to individuals selected by a convenience sample of patients who were stable enough to complete the form.  Results: We received 200 (66%) responses from the 305 patients approached. Worsened food access was reported by 8.5% (17) of respondents, while 13.6% (27) reported worsened food concern since the onset of the COVID-19 pandemic. The odds of worsened food access were higher among non-Whites (adjusted odds ratio [aOR] 19.17, 95% confidence interval [CI] 3.33-110.53) and females (aOR 9.77, CI 1.51-63.44). Non-Whites had greater odds of worsened food concern (aOR 15.31, CI 3.94-59.54). Worsened financial difficulty was reported by 24% (48) of respondents. The odds of worsened financial difficulty were higher among females (aOR 2.87, 95% CI 1.08-7.65) and non-Whites (aOR 10.53, CI 2.75-40.35). Conclusion: The COVID-19 pandemic has worsened many of the social determinants of health found within communities. Moreover, vulnerable communities were found to be disproportionately affected as compared to their counterparts. Understanding the challenges faced by our patient populations can serve as a guide on how to assist them more comprehensively.&nbsp

An analysis of 45 large-scale wastewater sites in England to estimate SARS-CoV-2 community prevalence.

Accurate surveillance of the COVID-19 pandemic can be weakened by under-reporting of cases, particularly due to asymptomatic or pre-symptomatic infections, resulting in bias. Quantification of SARS-CoV-2 RNA in wastewater can be used to infer infection prevalence, but uncertainty in sensitivity and considerable variability has meant that accurate measurement remains elusive. Here, we use data from 45 sewage sites in England, covering 31% of the population, and estimate SARS-CoV-2 prevalence to within 1.1% of estimates from representative prevalence surveys (with 95% confidence). Using machine learning and phenomenological models, we show that differences between sampled sites, particularly the wastewater flow rate, influence prevalence estimation and require careful interpretation. We find that SARS-CoV-2 signals in wastewater appear 4-5 days earlier in comparison to clinical testing data but are coincident with prevalence surveys suggesting that wastewater surveillance can be a leading indicator for symptomatic viral infections. Surveillance for viruses in wastewater complements and strengthens clinical surveillance, with significant implications for public health