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PMC:7786642 / 7150-9270 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue
113 40-43 Chemical denotes NO2

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T62 0-13 Sentence denotes 2.3 Exposure
T63 14-85 Sentence denotes We considered exposure to NO2 and PM2.5 as indicators of air pollution.
T64 86-123 Sentence denotes We selected these pollutants because:
T65 124-539 Sentence denotes 1) they reflect different sources of air-pollution (NO2 reflects traffic related air-pollution, whereas PM2.5 is a combination of traffic and non-traffic sources), 2) they were considered in previous studies (Cole et al., 2020, Liang et al., 2020, Travaglio et al., 2020, Wu et al., 2020), and 3) they are responsible for the highest number of years of life lost compared to other pollutants in Europe (Ortiz 2019).
T66 540-663 Sentence denotes We retrieved NO2 and PM2.5 concentration in England from the Pollution Climate Mapping (PCM; https://uk-air.defra.gov.uk/).
T67 664-778 Sentence denotes The PCM produces annual estimates during 2001–2018 for NO2 and 2002–2018 for PM2.5 at 1x1km resolution for the UK.
T68 779-942 Sentence denotes The PCM model is calibrated using monitoring stations across the nation and has high predictive accuracy, R2 = 0.88 for NO2 and R2 = 0.63 for PM2.5 (Brookes 2017).
T69 943-1093 Sentence denotes We defined long-term exposure to these compounds as the mean of the past 5 years for which data was available at the time of analysis, i.e. 2014–2018.
T70 1094-1263 Sentence denotes An alternative is calculating the median, however the distribution of the air-pollutants using any of these metrics is almost identical, (Supplemental Material Fig. S4).
T71 1264-1573 Sentence denotes We weighted the exposure using a combination of population estimates available from the fourth version of Gridded Population of the World collection at 1x1km grid as of 2020 (Center for International Earth Science Information Network - CIESIN - Columbia University 2018) and from ONS at LSOA level as of 2018.
T72 1574-1678 Sentence denotes Let Xgl be the pollutant and Pgl the population in the intersection of the g-th grid cell and l-th LSOA.
T73 1679-1842 Sentence denotes Assuming the Xg is constant (i.e. Xgl=Xg for all intersections) in the g-th grid cell, we define the population weighted version X¯lof Xgl as:X¯l=∑glP¯glXg∑glP¯gl.
T74 1843-1942 Sentence denotes To calculate P¯gl, we first compute w¯gl=wgl/∑glwgl, where wgl is the area weight per intersection.
T75 1943-1990 Sentence denotes Then calculate the population per intersection:
T76 1991-2003 Sentence denotes Pgl'=Pgw¯gl.
T77 2004-2120 Sentence denotes We then use the Pl (LSOA populations) and obtain P¯gl=vglPl, where vgl is the normalised Pgl', ie vgl= Pgl'/∑glPgl'.