Dataset Information

Status: nosocomial transmission and prevention of SARS-CoV-2 in a Danish context.

ABSTRACT: The unexpected pandemic with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has challenged the healthcare sector as regards preventing and controlling the virus from spreading between patients and hospital personnel. The massive spread of the pandemic has led state authorities to introduce restrictions on society and public behavior unprecedented in modern times. First, we describe the Danish effort regarding standard precautions, personal protective equipment, and disinfection in the healthcare setting with Denmark as an example. As regards, the number of coronavirus disease 2019 (COVID-19)-related hospital submissions, deaths, and infected healthcare workers in Denmark is not the hardest hit country compared with others. This cannot be explained by the hardness of the restrictions alone. Several aspects concerning the person-to-person spread of SARS-CoV-2 are not fully understood and require more experimental studies. The dogma is that virus transmission happens through either respiratory droplets or contact routes. However, it is likely not the whole truth, as we describe scenarios where droplets and/or direct contact cannot alone explain how all patients were infected. Aspects of the physiology of airborne transmission are considered, as several parameters are in play beyond particle size and respiratory rate. These are ozone concentration, ambient temperature, and humidity. In a hospital environment, these factors are not necessarily all controllable, making infection prevention and control a challenge.

SUBMITTER: Calum HP

PROVIDER: S-EPMC8239927 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundEmergence of more transmissible SARS-CoV-2 variants requires more efficient control measures to limit nosocomial transmission and maintain healthcare capacities during pandemic waves. Yet the relative importance of different strategies is unknown.MethodsWe developed an agent-based model and compared the impact of personal protective equipment (PPE), screening of healthcare workers (HCWs), contact tracing of symptomatic HCWs and restricting HCWs from working in multiple units (HCW cohorting) on nosocomial SARS-CoV-2 transmission. The model was fit on hospital data from the first wave in the Netherlands (February until August 2020) and assumed that HCWs used 90% effective PPE in COVID-19 wards and self-isolated at home for 7 days immediately upon symptom onset. Intervention effects on the effective reproduction number (RE), HCW absenteeism and the proportion of infected individuals among tested individuals (positivity rate) were estimated for a more transmissible variant.ResultsIntroduction of a variant with 56% higher transmissibility increased - all other variables kept constant - RE from 0.4 to 0.65 (+ 63%) and nosocomial transmissions by 303%, mainly because of more transmissions caused by pre-symptomatic patients and HCWs. Compared to baseline, PPE use in all hospital wards (assuming 90% effectiveness) reduced RE by 85% and absenteeism by 57%. Screening HCWs every 3 days with perfect test sensitivity reduced RE by 67%, yielding a maximum test positivity rate of 5%. Screening HCWs every 3 or 7 days assuming time-varying test sensitivities reduced RE by 9% and 3%, respectively. Contact tracing reduced RE by at least 32% and achieved higher test positivity rates than screening interventions. HCW cohorting reduced RE by 5%. Sensitivity analyses show that our findings do not change significantly for 70% PPE effectiveness. For low PPE effectiveness of 50%, PPE use in all wards is less effective than screening every 3 days with perfect sensitivity but still more effective than all other interventions.ConclusionsIn response to the emergence of more transmissible SARS-CoV-2 variants, PPE use in all hospital wards might still be most effective in preventing nosocomial transmission. Regular screening and contact tracing of HCWs are also effective interventions but critically depend on the sensitivity of the diagnostic test used.

Dataset Information

Status: nosocomial transmission and prevention of SARS-CoV-2 in a Danish context.

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