Table 3

Pooled regression models of community transmission in the UK and USA with fixed spatial effects

Work-related controlsWork-related and additional controls
UnweightedWeightedUnweightedWeighted
Work and commuting factorsType of workplace
 Transport related3.634***3.531***3.049**2.819**
(1.5772)(1.3188)(1.3707)(1.1417)
 Other work2.309**2.321.9341.864
(0.956)(1.1922)(0.8179)(0.9762)
Belong to a trade union2.403***2.614***2.198***2.282***
(0.5233)(0.6409)(0.4932)(0.5732)
Consultation on transmission1.787***1.759**1.563**1.507*
(0.3802)(0.4083)(0.347)(0.34)
Can work from home mainly1.3111.3661.261.277
(0.2775)(0.3127)(0.2721)(0.299)
Public transport to get to work2.012***2.09***1.803**1.838**
(0.4508)(0.5107)(0.4117)(0.4562)
Personal factorsAge (54 years or more)0.196**0.223**
(0.1429)(0.1638)
Gender (male)0.8180.767
(0.2039)(0.2171)
Income (lower_ii)1.030.961
(0.2609)(0.2474)
Shared accommodation/kitchen1.742**1.855***
(0.3767)(0.4364)
Risk preference1.838**1.834**
(0.4628)(0.4959)
Extraversion1.1151.09
(0.2558)(0.2638)
Taller than 6 ft (men)1.6041.737*
(0.4653)(0.5644)
Model performance
Observations (n)1467146714671467
Pseudo-R20.11260.11840.14730.162
Log likelihood−355.564−298.201−283.4598−341.6548
Akaike information criterion (AIC)759.127644.403628.9196745.3096
Bayesian information criterion (BIC)886.111771.386792.9398909.3298
  • ***P<0.01; **p<0.05; *p<0.10. SEs in brackets below each estimated coefficient. Diagnosis: logit estimated for the question ‘Have you had a medical diagnosis or positive test for COVID-19?’ (Yes=1). Estimated coefficients are presented as ORs. People performing non-working activities were excluded from the estimations. Regional dummy coefficients suppressed.