We next analyzed this new harsh relationship ranging from each of the exposure field groups (i
We projected the entire quantity of verified COVID-19 cases each 1,000 employed some body to the two epidemic surf each off this new job groups. age. good categorical changeable like the twenty-two kinds, one to for each community) while the lead ‘affirmed COVID-19′ (yes/no) using logistic regression individually for each and every of one’s waves and you will revealing possibility rates (OR). Up coming, i thought that numerous prospective covariates will get confuse brand new association ranging from community and you may wave-particular COVID-19 outcome, therefore we modified for the next covariates when you look at the around three multivariate logistic regression habits: (i) decades and sex, (ii) years, sex, country out-of delivery and you will mom’s country out of beginning (while the sign might have been considered to be like chock-full of immigrant communities ) and you can (iii) age, sex, country of delivery, mom’s country out of delivery and marital standing. Because of the great number of observations, we accompanied the fresh new covariates just like the categorical details (five many years kinds: 20–30, 30–39, 40–44, 50–59, 60–70 ages; eight groups for your very own and maternal nation out-of birth (into the separate variables): produced within the Norway, remainder of European countries, Asia, Africa, Latin The usa, The united states otherwise Oceania, otherwise unknown). I set ‘every person within their doing work decades (20–70 years)’ to-be the resource group throughout analyses. Finally, we repeated the new analyses using hospitalisation with COVID-19 check here as consequences with an increase of adjustment into level of comorbidities (not one, you to definitely, two, otherwise about three or even more comorbidities), although not, due to a low level of hospitalisations for a couple career organizations, i didn’t separate this type of analyses to the basic and you may 2nd wave. (more…)