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PMC:7786642 / 512-2044 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
24 1002-1005 Chemical denotes NO2
25 1447-1450 Chemical denotes NO2
26 80-88 Disease denotes COVID-19 MESH:C000657245
27 89-98 Disease denotes mortality MESH:D003643
28 356-364 Disease denotes COVID-19 MESH:C000657245
29 365-374 Disease denotes mortality MESH:D003643
30 494-502 Disease denotes COVID-19 MESH:C000657245
31 503-509 Disease denotes deaths MESH:D003643
32 948-956 Disease denotes COVID-19 MESH:C000657245
33 957-966 Disease denotes mortality MESH:D003643
34 1463-1471 Disease denotes COVID-19 MESH:C000657245
35 1472-1481 Disease denotes mortality MESH:D003643

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T10 0-99 Sentence denotes Recent studies suggested a link between long-term exposure to air-pollution and COVID-19 mortality.
T11 100-286 Sentence denotes However, due to their ecological design based on large spatial units, they neglect the strong localised air-pollution patterns, and potentially lead to inadequate confounding adjustment.
T12 287-421 Sentence denotes We investigated the effect of long-term exposure to NO2 and PM2.5 on COVID-19 mortality in England using high geographical resolution.
T13 422-598 Sentence denotes In this nationwide cross-sectional study in England, we included 38,573 COVID-19 deaths up to June 30, 2020 at the Lower Layer Super Output Area level (n = 32,844 small areas).
T14 599-701 Sentence denotes We retrieved averaged NO2 and PM2.5 concentration during 2014–2018 from the Pollution Climate Mapping.
T15 702-851 Sentence denotes We used Bayesian hierarchical models to quantify the effect of air-pollution while adjusting for a series of confounding and spatial autocorrelation.
T16 852-1090 Sentence denotes We find a 0.5% (95% credible interval: −0.2%, 1.2%) and 1.4% (95% CrI: −2.1%, 5.1%) increase in COVID-19 mortality risk for every 1 μg/m3 increase in NO2 and PM2.5 respectively, after adjusting for confounding and spatial autocorrelation.
T17 1091-1192 Sentence denotes This corresponds to a posterior probability of a positive effect equal to 0.93 and 0.78 respectively.
T18 1193-1296 Sentence denotes The spatial relative risk at LSOA level revealed strong patterns, similar for the different pollutants.
T19 1297-1387 Sentence denotes This potentially captures the spread of the disease during the first wave of the epidemic.
T20 1388-1532 Sentence denotes Our study provides some evidence of an effect of long-term NO2 exposure on COVID-19 mortality, while the effect of PM2.5 remains more uncertain.