Table 1. Summary estimates for studies of PM10 and daily mortality by GAM or non-GAM statistical model and by single-city or multicity study design.
| Studies |
No. of estimates |
Summary
Estimate |
95% CI |
| 1 No numerical estimate for 95% CI given. Graphical representation of marginal posterior distribution for PM10 indicated that effect was very unlikely to be due to chance. Note that in the paper by Dominici et al. (2002), the pooled estimate using default convergence criteria is 0.41 (posterior standard error 0.05). We have chosen the estimate given in the earlier published report (Samet et al., 2000) |
| GAM |
|
|
|
| All studies |
172 |
0.60 |
(0.52, 0.68) |
| NMMAPS |
90 |
0.5 |
No numerical estimate1 |
| APHEA 2 |
21 |
0.6 |
(0.4, 0.8) |
| Single city studies |
61 |
0.68 |
(0.57, 0.79) |
| Single city studies (adjusted for publication bias) |
|
0.6 |
(0.5, 0.8) |
| Non-GAM |
|
|
|
| Single city studies |
26 |
0.55 |
(0.38, 0.73) |
| Single city studies (adjusted for publication bias) |
|
0.4 |
(0.2, 0.6) |
| All Studies (GAM and Non-GAM) |
198 |
0.59 |
(0.52, 0.66) |
% change in mortality per 10 µg/m3 increase in
PM10
Source: WHO Regional Office for Europe
Health Aspects of Air Pollution - answers to follow-up questions from CAFE (2004), Section 5.5
Related publication:
Other Figures & Tables on this publication:
Table 1. Estimated effects of air pollution on daily mortality and hospital
admissions from APHEA2 and NMMAPS studies
Table 2. Summary of time series relating coarse particulate matter to mortality
Figure 1. Direct Release of Particles
Figure 2. Indirect Formation of Particles
Figure 4. Modelled deposition of particles in the human respiratory tract using
the MPPD (Price et al., 2002) model
Fig. 1: Funnel plot of black smoke and "daily all cause mortality" in 47 studies.
Table 1. Summary estimates for studies of PM10 and daily mortality by GAM or non-GAM statistical model and by single-city or multicity study design.
