READ ME File For 'Retrospective analysis of a national fitting database for Respiratory Protective Equipment during the early phase of COVID-19.'

Dataset DOI: 10.5258/SOTON/D2244

Date that the file was created: May, 2022

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GENERAL INFORMATION
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ReadMe Author: Peter Worsley, University of Southampton 

Date of data collection: 1/1/2020-1/1/2022


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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:CC-BY-NC


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DATA & FILE OVERVIEW
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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 dataset contains:

analysis3.txt
model_assessment.do
analysis2.txt
analysis6.txt
analysis5.txt
analysis4.txt
NHS_EnglandR0.dta
demographics.dta