| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T121 |
0-25 |
Sentence |
denotes |
2.6 Sensitivity analyses |
| T122 |
26-72 |
Sentence |
denotes |
We performed a series of sensitivity analyses. |
| T123 |
73-197 |
Sentence |
denotes |
First, we repeated the main analyses using data at the LTLA level with all exposures and confounding weighted by population. |
| T124 |
198-388 |
Sentence |
denotes |
Second, we examined if there is a differential effect of long-term exposure to air-pollution at the early stages of the epidemic, considering the lockdown (23rd of March 2020) as a landmark. |
| T125 |
389-640 |
Sentence |
denotes |
Third, we assessed the correlation between the latent field of the full model (model 4) with that of the model excluding or including only covariates indicating disease spread (i.e. number of tested positive cases and days since first reported cases). |
| T126 |
641-718 |
Sentence |
denotes |
Fourth, we categorised pollutants into quintiles to allow more flexible fits. |
| T127 |
719-796 |
Sentence |
denotes |
Fifth, we repeated the analysis including the suspected cases to the outcome. |
| T128 |
797-997 |
Sentence |
denotes |
Sixth, we repeated the analysis changing the definition of long-term exposure to the mean of the past 3 and 10 years for which data was available at the time of analysis, i.e. 2016–2018 and 2009–2018. |
| T129 |
998-1159 |
Sentence |
denotes |
Seventh, we fitted a zero-inflated Poisson model to account for the proportion of zeros in the data (36% in the 100 samples – see Supplemental Material Fig. S6). |
