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Table 1 Exposure-response coefficients for the short-term health impacts of O3

From: Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015–2018 in China

Cause-specific mortality RR (95%CI) (10 μg/m3) Coefficient β Study region References
All-cause 1.0037 (1.0020–1.0055) 3.7E-04 (2.0E-04 – 5.5E-04) 34 Chinese cities (Sun et al. 2018) [1]
1.0042 (1.0032–1.0052) 4.2E-04 (3.2E-04 – 5.2E-04) 7 Chinese cities (Yan et al. 2013) [2]
1.0036 (1.0012–1.0060) 3.6E-04 (1.2E-04 - 6.0E-04) East China (Madaniyazi et al. 2016) [75]
1.0055 (1.0034–1.0076) 5.5E-04 (3.4E-04 - 7.6E-04) Jiangsu (Chen et al. 2017) [15]
1.0045 (1.0016–1.0730) 4.5E-04 (1.6E-04 - 7.3E-03) Shanghai (Zhang et al., 2006) [5]
1.0038 (1.0023–1.0053) 3.8E-04 (2.3E-04 - 5.3E-04) Wuhan (Wong et al. 2008) [18]
1.0056 (1.0042–1.0074) 5.6E-04 (4.2E-04 - 7.4E-04) Xi’an (Zhong et al. 2017) [7]
1.0024 (1.0013–1.0035) 2.4E-04 (1.3E-04 - 3.5E-04) Nationwide (Yin et al. 2017) [8]
Cardiovascular 1.0039 (1.0016–1.0062) 3.9E-04 (1.6E-04 – 6.2E-04) 34 Chinese cities (Sun et al. 2018) [1]
1.0044 (1.0017–1.0070) 4.4E-04 (1.7E-04 – 7.0E-04) 7 Chinese cities (Yan et al. 2013) [2]
1.0060 (1.0022–1.0097) 3.8E-04 (2.3E-04 - 5.3E-06) East China (Madaniyazi et al. 2016) [75]
1.0098 (1.0058–1.0137) 9.8E-04 (5.8E-04 - 1.4E-03) Jiangsu (Zhang and Zhang 2019) [9]
1.0053 (1.0010–1.0096) 5.3E-04 (1.0E-04 - 9.6E-04) Shanghai (Zhang et al. 2006) [5]
1.0037 (1.0001–1.0073) 3.7E-04 (1.0E-05 - 7.3E-04) Wuhan (Wong et al. 2008) [18]
1.0027 (1.0010–1.0044) 2.7E-04 (1.0E-04 - 4.4E-04) Nationwide (Yin et al. 2017) [8]
Respiratory 1.0050 (1.0022–1.0077) 5.0E-04 (2.2E-04 – 7.7E-04) 7 Chinese cities (Yan et al. 2013) [2]
1.0051 (1.0003–1.0098) 5.1E-04 (3.0E-05 - 9.8E-04) East China (Madaniyazi et al. 2016) [75]
1.0131 (1.0045–1.0217) 1.3E-03 (4.5E-04 - 2.2E-03) Shanghai (Chen et al. 2010) [10]
1.0034 (1.0001–1.0075) 3.4E-04 (1.0E-05 - 7.5E-04) Wuhan (Wong et al. 2008) [18]
1.0073 (1.0049–1.0097) 7.3E-04 (4.9E-04 - 9.7E-04) Nationwide (Shang et al. 2013) [16]