Assessing the public health benefits of reduced ozone concentrations

被引:111
作者
Levy, JI
Carrothers, TJ
Tuomisto, JT
Hammitt, JK
Evans, JS
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Environm Hlth, Landmark Ctr, Boston, MA 02215 USA
[2] Harvard Univ, Ctr Risk Anal, Boston, MA 02215 USA
[3] Pharsight Corp, Mountain View, CA USA
[4] Natl Publ Hlth Inst, Dept Environm Hlth, Kuopio, Finland
[5] Harvard Univ, Sch Publ Hlth, Dept Hlth Policy & Management, Boston, MA 02215 USA
关键词
benefit-cost analysis; epidemiology; exposure assessment; monetary valuation; ozone; premature mortality;
D O I
10.2307/3454743
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper we examine scientific evidence and related uncertainties in two steps of benefit-cost analyses of ozone reduction: estimating the health improvements attributable to reductions in ozone and determining the appropriate monetary values of these improvements. Although substantial evidence exists on molecular and physiologic impacts, the evidence needed to establish concentration-response functions is somewhat limited. Furthermore, because exposure to ozone depends on factors such as air conditioning use, past epidemiologic studies may not be directly applicable in unstudied settings. To evaluate the evidence likely to contribute significantly to benefits, we focus on four health outcomes: premature mortality, chronic asthma, respiratory hospital admissions, and minor restricted activity days. We determine concentration-response functions for these health outcomes for a hypothetical case study in Houston, Texas, using probabilistic weighting reflecting our judgment of the strength of the evidence and the possibility of confounding. We make a similar presentation for valuation, where uncertainty is due primarily to the lack of willingness-to-pay data for the population affected by ozone. We estimate that the annual monetary value of health benefits from reducing ozone concentrations in Houston is approximately $10 per person per microgram per cubic meter (24-hr average) reduced (95% confidence: interval, $0.70-$40). The central estimate exceeds past estimates by approximately a factor of five, driven by the inclusion of mortality. We discuss the implications of our findings for future analyses and determine areas of research that might help reduce the uncertainties in benefit estimation.
引用
收藏
页码:1215 / 1226
页数:12
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