LitCovid-sentences  

PMC:7786642 / 17275-18559 JSONTXT 2 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T143 0-8 Sentence denotes 3.4 No2
T144 9-35 Sentence denotes We observe a 2.6% (95%CrI:
T145 36-208 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 209-402 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 403-430 Sentence denotes 0.8%, 1.8%), 1.8% (95% CrI:
T148 431-461 Sentence denotes 1.5%, 2.1%) for every 1 μg/m3.
T149 462-714 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 715-778 Sentence denotes The spatial relative risk in England varies from 0.24 (95% CrI:
T151 779-808 Sentence denotes 0.08, 0.69) to 2.09 (95% CrI:
T152 809-855 Sentence denotes 1.30, 3.11) in model 2 and from 0.30 (95% CrI:
T153 856-885 Sentence denotes 0.10, 0.84) to 1.87 (95% CrI:
T154 886-995 Sentence denotes 1.18, 2.93) in model 4, implying that the confounders explain very little of the observed variation (Fig. 3).
T155 996-1113 Sentence denotes The variation is more pronounced in the cities and suburban areas (with posterior probability higher than 1; Fig. 3).
T156 1114-1284 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.