| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T170 |
0-25 |
Sentence |
denotes |
3.6 Sensitivity analyses |
| T171 |
26-305 |
Sentence |
denotes |
When LTLAs are the main geographical unit for analysis, the results are consistent, but higher in magnitude, potentially due to inadequate covariate and spatial autocorrelation adjustment due to the coarse geographical resolution (Supplemental Material Tables S6-7, Fig. S19-20). |
| T172 |
306-501 |
Sentence |
denotes |
Restricting the study period to March 23, 2020 (N = 698) also results in similar estimates for both pollutants, however the uncertainty is higher (Supplemental Material Tables S8-9, Fig. S21-22). |
| T173 |
502-750 |
Sentence |
denotes |
The latent field of model 4, with NO2 as the pollutant, is similar to the latent fields of the models with and without the disease progression variables, with a correlation coefficient of 0.94 and 0.93 respectively (Supplemental Material Fig. S23). |
| T174 |
751-858 |
Sentence |
denotes |
The use of quintiles of the pollutants justifies the linearity assumption (Supplemental Material Fig. S24). |
| T175 |
859-1007 |
Sentence |
denotes |
The results are consistent, but the evidence weaker, when suspected COVID-19 deaths are included (Supplemental Material Tables S10-11, Fig. S25-26). |
| T176 |
1008-1141 |
Sentence |
denotes |
The results are also similar when we used a 3 or a 10-year mean of the air-pollutants concentration (Supplemental Material Fig. S27). |
| T177 |
1142-1262 |
Sentence |
denotes |
The results are consistent when we fitted a zero-inflated Poisson (Supplemental Material Tables S12-13 and Fig. S28-29). |
