How to design and implement a university-based COVID-19 testing programme? An evaluation of a novel RT-LAMP COVID-19 testing programme in a UK university.

BACKGROUND: Little is known about how asymptomatic testing as a method to control transmission of COVID-19 can be implemented, and the prevalence of asymptomatic infection within university populations. The objective of this study was to investigate how to effectively set-up and implement a COVID-19 testing programme using novel reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) technology and to quantify the scale of asymptomatic infection on a university campus. METHODS: An observational study to describe the set-up and implementation of a novel COVID-19 testing programme on a UK university campus between September and December 2020. RT-LAMP testing was used to identify asymptomatic cases. RESULTS: A total of 1,673 tests were performed using RT-LAMP during the study period, of which 9 were positive for COVID-19, giving an overall positivity rate of 0.54%, equivalent to a rate in the tested population of 538 cases per 100,000 over the duration of testing. All positive tests were found to be positive on RT-PCR testing, giving a false positive rate of 0%. CONCLUSIONS: This study shows that it is possible to rapidly setup a universal university testing programme for COVID-19 in collaboration with local healthcare providers using RT-LAMP testing. Positive results were comparable to those in the local population, though with a different peak of infection. Further research to inform the design of the testing programme includes focus groups of those who underwent testing and further interrogation of the demographics of those opting to be tested to identify potential access problems or inequalities.

Design and implementation of a university-based COVID-19 testing programme: an observational study

Background Little is known about how asymptomatic testing as a method to control the transmission of COVID-19 can be successfully implemented, and the prevalence of asymptomatic infection within university populations. The aim of this study was to describe the methodology of implementing a novel asymptomatic mass testing programme, and to report the number of positive cases diagnosed during the study period. To our knowledge, this study is the first to report prevalence of asymptomatic COVID-19 infection within a UK university population using reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) as a molecular diagnostic tool. Methods An observational study was undertaken to describe the set-up and implementation of a novel COVID-19 testing programme on a UK university campus between Sept 28 and Dec 18, 2020. Students and staff members volunteered for testing throughout the term. The programme used RT-LAMP testing to identify asymptomatic cases within the population. Any positive cases received RT-PCR testing to confirm the result using the current gold-standard testing methodology. Findings 1673 tests were done using RT-LAMP during the study period, of which nine were positive for COVID-19. This gave an overall positivity rate of 0·54%, equivalent to a rate in the tested population of 538 cases per 100 000 over the duration of testing. All positive tests were also found to be positive on RT-PCR testing, giving a false positive rate of 0%. Uptake was affected by changes to delivery of university teaching, leading to lower attendance on campus throughout the term. Interpretation This study shows that it is possible to rapidly set up a universal university testing programme for COVID-19 in collaboration with local health-care providers using RT-LAMP testing, with full concordance between RT-LAMP testing and RT-PCR testing on positive RT-LAMP results. Positive results were similar to those in the local population, although with a different weekly peak of infection. Funding None.

Changes in air quality during COVID-19 'lockdown' in the United Kingdom.

The UK implemented a lockdown in Spring (2020) to curtail the person-to-person transmission of the SARS-CoV-2 virus. Measures restricted movements to one outing per day for exercise and shopping, otherwise most people were restricted to their dwelling except for key workers (e.g. medical, supermarkets, and transport). In this study, we quantified changes to air quality across the United Kingdom from 30/03/2020 to 03/05/2020 (weeks 14-18), the period of most stringent travel restrictions. Daily pollutant measurements of NO2, O3 and PM2.5 from the national network of monitoring sites during this period were compared with measurements over the same period during 2017-19. Comparisons were also made with predicted concentrations for the 2020 period from business-as-usual (BAU) modelling, where the contributions of normal anthropogenic activities were estimated under the observed meteorological conditions. During the lockdown study period there was a 69% reduction in traffic overall (74% reduction in light and 35% in heavy vehicles). Measurements from 129 monitoring stations, identified mean reductions in NO2 of 38.3% (-8.8 µg/m3) and PM2.5 of 16.5% (-2.2 µg/m3). Improvements in NO2 and PM2.5 were largest at urban traffic sites and more modest at background locations where a large proportion of the population live. In contrast, O3 concentrations on average increased by 7.6% (+4.8 µg/m3) with the largest increases at roadside sites due to reductions in local emissions of NO. A lack of VOC monitoring limited our capacity to interpret changes in O3 at urban background locations. BAU models predicted comparable NO2 reductions and O3 gains, although PM2.5 episodes would have been more prominent without lockdown. Results demonstrate the relatively modest contribution of traffic to air quality, suggesting that sustained improvements in air quality require actions across various sectors, including working with international and European initiatives on long-range transport air pollutants, especially PM2.5 and O3.