Modeling fomite-mediated SARS-CoV-2 exposure through personal protective equipment doffing in a hospital environment.

Self-contamination during doffing of personal protective equipment (PPE) is a concern for healthcare workers (HCW) following SARS-CoV-2-positive patient care. Staff may subconsciously become contaminated through improper glove removal; so, quantifying this exposure is critical for safe working procedures. HCW surface contact sequences on a respiratory ward were modeled using a discrete-time Markov chain for: IV-drip care, blood pressure monitoring, and doctors' rounds. Accretion of viral RNA on gloves during care was modeled using a stochastic recurrence relation. In the simulation, the HCW then doffed PPE and contaminated themselves in a fraction of cases based on increasing caseload. A parametric study was conducted to analyze the effect of: (1a) increasing patient numbers on the ward, (1b) the proportion of COVID-19 cases, (2) the length of a shift, and (3) the probability of touching contaminated PPE. The driving factors for the exposure were surface contamination and the number of surface contacts. The results simulate generally low viral exposures in most of the scenarios considered including on 100% COVID-19 positive wards, although this is where the highest self-inoculated dose is likely to occur with median 0.0305 viruses (95% CI =0-0.6 viruses). Dose correlates highly with surface contamination showing that this can be a determining factor for the exposure. The infection risk resulting from the exposure is challenging to estimate, as it will be influenced by the factors such as virus variant and vaccination rates.

Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community.

OBJECTIVE: COVID-19 is a multisystem illness that has considerable long-term physical, psychological, cognitive, social and vocational sequelae in survivors. Given the scale of this burden and lockdown measures in most countries, there is a need for an integrated rehabilitation pathway using a tele-medicine approach to screen and manage these sequelae in a systematic and efficient way. METHODS: A multidisciplinary team of professionals in the UK developed a comprehensive pragmatic telephone screening tool, the COVID-19 Yorkshire Rehabilitation Screen (C19-YRS), and an integrated rehabilitation pathway, which spans the acute hospital trust, community trust and primary care service within the National Health Service (NHS) service model. RESULTS: The C19-YRS telephone screening tool, developed previously, was used to screen symptoms and grade their severity. Referral criteria thresholds were applied to the output of C19-YRS to inform the decision-making process in the rehabilitation pathway. A dedicated multidisciplinary COVID-19 rehabilitation team is the core troubleshooting forum for managing complex cases with needs spanning multiple domains of the health condition. CONCLUSION: The authors recommend that health services dealing with the COVID-19 pandemic adopt a comprehensive telephone screening system and an integrated rehabilitation pathway to manage the large number of survivors in a timely and effective manner and to enable the provision of targeted interventions.