| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T144 |
0-26 |
Sentence |
denotes |
We observe a 2.6% (95%CrI: |
| T145 |
27-199 |
Sentence |
denotes |
2.4%, 2.7%) increase in the COVID-19 mortality risk for every 1 μg/m3 increase in the long-term exposure to NO2, based on model 1 (Fig. 3 & Supplemental Material Table S4). |
| T146 |
200-393 |
Sentence |
denotes |
There is still evidence of an effect, albeit smaller, once we adjust for spatial autocorrelation or confounders, with increases in the long-term exposure to NO2 of, respectively, 1.3% (95% CrI: |
| T147 |
394-421 |
Sentence |
denotes |
0.8%, 1.8%), 1.8% (95% CrI: |
| T148 |
422-452 |
Sentence |
denotes |
1.5%, 2.1%) for every 1 μg/m3. |
| T149 |
453-705 |
Sentence |
denotes |
When we adjust for both autocorrelation and confounders the evidence is less strong, with estimates of 0.5% (95% CrI: −0.2%, 1.2%) for every 1 μg/m3 (Fig. 3 & Supplemental Material Table S4) and posterior probability of a positive effect reaching 0.93. |
| T150 |
706-769 |
Sentence |
denotes |
The spatial relative risk in England varies from 0.24 (95% CrI: |
| T151 |
770-799 |
Sentence |
denotes |
0.08, 0.69) to 2.09 (95% CrI: |
| T152 |
800-846 |
Sentence |
denotes |
1.30, 3.11) in model 2 and from 0.30 (95% CrI: |
| T153 |
847-876 |
Sentence |
denotes |
0.10, 0.84) to 1.87 (95% CrI: |
| T154 |
877-986 |
Sentence |
denotes |
1.18, 2.93) in model 4, implying that the confounders explain very little of the observed variation (Fig. 3). |
| T155 |
987-1104 |
Sentence |
denotes |
The variation is more pronounced in the cities and suburban areas (with posterior probability higher than 1; Fig. 3). |
| T156 |
1105-1275 |
Sentence |
denotes |
Fig. 3 Density strips for the posterior of COVID-19 mortality relative risk with 1 μg/m3 increase in NO2 (top panel) and PM2.5 (bottom panel) averaged long-term exposure. |
