Retrospective analysis of a national fitting database for Respiratory Protective Equipment during the early phase of COVID-19.

Dataset and statistics for respirator fitting in the NHS The data looks at various demographic indicators in the trusts, gender, age, ethnicity. The data for performance is looking at BIC which behaves better than AIC for huge data sets. The last three models are the interaction models with ethnic group, sex, and age, respectively. There are clear and significant effects of type of mask, ethnic group, sex and age on fit, but these effects do not interact and work independently. This research was funded by Bioengineering approaches for the SAFE design and fitting of Respiratory Protective Equipment UKRI (Research England) EP/V045563/1