Adrian Heald

and 4 more

Introduction The rapid spread of the pandemic caused by the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)(COVID-19) virus resulted in governments around the world instigating a range of measures, including mandating the wearing of face coverings on public transport/in retail outlets. Methods We developed a sequential assessment of risk reduction provided by face coverings using a step-by-step approach. The United Kingdom Office of National Statistics(ONS) Population Survey data was utilised to determine the baseline total number of community-derived infections. These were linked to reported hospital admissions/hospital deaths to create case admission risk ratio/admission-related fatality rate. Results Overall, we show that only 7.3% of all community-based infection risk associates with public transport/retail outlets. The reported weekly community infection rate was 29,400 new cases at the start (24th July). The rate of growth in hospital admissions and deaths for England was around -15%/week, suggesting the infection rate, R, in the most vulnerable populations was just above 0.8. In this situation, average infections over the evaluated 13week follow-up period was 9,517/week. With face covering of 40% effectiveness, this reduced average infections by 844/week, hospital admissions by 8/week and deaths by 0.6/week; a fall of 9% over the period total. If, however, the R-value rises to 1.0, then average community infections would stay at 29,400/week and face coverings could reduce average weekly infections by 3,930, hospital admissions by 36 and deaths by 2.9/week; a 13% reduction. These reductions should be seen in the context of 102,000/week all-cause hospital emergency admissions in England and 8,900 reported deaths in the week ending 7thAugust 2020. Conclusion We have illustrated that the policy on mandation of face coverings in retail outlets/on public transport may have limited value in reducing hospital admissions/deaths. Impact appears small compared to all other sources of risk, thereby raising questions regarding effectiveness of the policy.

David Miles

and 2 more

The COVID-19 pandemic has transformed lives across the world. In the UK there has been a public health driven policy of population ‘lockdown’ that had enormous personal and economic impact. We compare UK response/outcomes including excess deaths with European countries with similar levels of income/healthcare resources. We calibrate estimates of the economic costs as different %loss in GDP against possible benefits of avoiding life years lost, for different scenarios where local COVID-19 mortality/comorbidity rates were used to calculate the loss in life expectancy. We apply quality-adjusted life years (QALY) value of £30,000 (maximum under NICE guidelines). The implications for future lockdown easing policy in the UK are also evaluated. The spread of cases across European countries was extremely rapid. There was significant variation both in severity and timing of both implementation and subsequent reductions in social restrictions. There was less variation in the trajectory of mortality rates and excess deaths, which have fallen across all countries during May/June 2020. The average age at death and life expectancy loss for non-COVID-19 was 79.1 and 11.4years respectively while COVID-19 were 80.4 and 10.1years; including for life-shortening comorbidities and quality of life reduced this to 5QALY for each COVID-19 death. The lowest estimate for lockdown costs incurred was 50% higher than highest benefits from avoiding the worst mortality case scenario at full life expectancy tariff and in more realistic estimation they were over 50 times higher. Application to potential future scenarios showed in the best case a QALY value of £220k (7xNICE guideline) and in the worst-case £3.7m (125xNICE guideline) was needed to justify the continuation of the lockdown. The evidence suggests that the costs of continuing severe restrictions in the UK are so great relative to likely benefits in numbers of lives saved so that a substantial easing in restrictions is now warranted.

Mike Stedman

and 8 more

Introduction Erectile Dysfunction (ED) is common in older age and in diabetes (DM). Phosphodiesterase type 5-inhibitors (PDE5-is) are the first-line for ED. We investigated how type of diabetes and age of males affects the PDE5-i use in the primary care setting. Methods 2018-19 general practice level quantity of all PDE5-i agents were taken from the GP Prescribing Data set in England. The variation in outcomes across practices was examined across one year, and for the same practice against the previous year. Results We included 5,761 larger practices supporting 25.8million men of whom 4.2million≥65 years old. Of these, 1.4million had T2DM, with 0.8million of these>65. 137,000 people had T1DM. 28.8million tablets of PDE5-i were prescribed within the 12 months (2018-19) period in 3.7million prescriptions (7.7 tablets/prescription), at total costs of £15.8million (£0.55/tablet). The NHS ED limit of 1 tablet/user/week suggests that 540,000 males are being prescribed a PDE5-i at a cost of £29/year each. With approximately 30,000 GPs practising, this is equivalent to one GP providing 2.5 prescriptions/week to overall 18 males. There was a 3x variation between the highest decile of practices (2.6 tablets/male/year) and lowest decile (0.96 tablets/male/year). The statistical model captured 14% of this variation and showed T1DM males were the largest users, while men age<65 with T2DM were being prescribed 4 times as much as non-DM. Those T2DM>65 were prescribed 80% of the non-DM amount. Conclusion There is wide variation in use of PDE5-is. With only 14% variance capture, other factors including wide variation in patient awareness, prescribing rules of local health providers, and recognition of the importance of male sexual health by GP prescribers might have significant impact.

Mike Stedman

and 5 more

Background The COVID-19 pandemic has led to radical political control of social behaviour. The purpose of this paper is to explore data trends from the pandemic regarding infection rates/policy impact, and draw learning points for informing the unlocking process. Methods The daily published cases in England in each of 149 Upper Tier Local Authority (UTLA) areas were converted to Average Daily Infection Rate(ADIR), an R-value - the number of further people infected by one infected person during their infectious phase with Rate of Change of Infection Rate(RCIR) also calculated. Stepwise regression was carried out to see what local factors could be linked to differences in local infection rates. Results By the 19th April 2020 the infection R has fallen from 2.8 on 23rd March before the lockdown and has stabilised at about 0.8 sufficient for suppression. However there remain significant variations between England regions. Regression analysis across UTLAs found that the only factor relating to reduction in ADIR was the historic number of confirmed number infection/000 population, There is however wide variation between Upper Tier Local Authorities (UTLA) areas. Extrapolation of these results showed that unreported community infection may be >200 times higher than reported cases, providing evidence that by the end of the second week in April, 29% of the population may already have had the disease and so have increased immunity. Conclusion Analysis of current case data using infectious ratio has provided novel insight into the current national state and can be used to make better-informed decisions about future management of restricted social behaviour and movement.