Advanced

Population health effects and health-related costs of extreme temperatures : Comprehensive evidence from Germany

Karlsson, Martin LU and Ziebarth, Nicolas R. (2018) In Journal of Environmental Economics and Management 91. p.93-117
Abstract

This study assesses the short and medium-term impact of extreme temperatures on population health and health-related costs in Germany. For 1999 to 2008, we link the universe of 170 million hospital admissions and all 8 million deaths with weather and pollution data at the day-county level. Extreme heat significantly and immediately increases hospitalizations and deaths. This finding holds irrespective of whether we employ econometric models that are standard in economics or models that are standard in epidemiology; we compare and discuss both approaches. We find evidence for partial “harvesting.” At the end of a 30-day window, the immediate health effects are, on average, one quarter lower, but this reduction is primarily evident for... (More)

This study assesses the short and medium-term impact of extreme temperatures on population health and health-related costs in Germany. For 1999 to 2008, we link the universe of 170 million hospital admissions and all 8 million deaths with weather and pollution data at the day-county level. Extreme heat significantly and immediately increases hospitalizations and deaths. This finding holds irrespective of whether we employ econometric models that are standard in economics or models that are standard in epidemiology; we compare and discuss both approaches. We find evidence for partial “harvesting.” At the end of a 30-day window, the immediate health effects are, on average, one quarter lower, but this reduction is primarily evident for cardiovascular and neoplastic diseases. Moreover, aggregating at the yearly level reduces the effect size by more than 90 percent. The health-related economic costs accumulate up to €5 million per 10 million population per hot day with maximum temperatures above 30 °C (86 °F).

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Climate change, Cold day, Extreme temperatures, Hospital admissions, Hot day, Mortality, Pollution, Population health effects, Weather
in
Journal of Environmental Economics and Management
volume
91
pages
25 pages
publisher
Elsevier
external identifiers
  • scopus:85050679619
ISSN
0095-0696
DOI
10.1016/j.jeem.2018.06.004
language
English
LU publication?
yes
id
bf12ae50-9b51-4245-a239-4f786fe99f1b
date added to LUP
2018-08-15 10:45:48
date last changed
2019-09-17 04:36:53
@article{bf12ae50-9b51-4245-a239-4f786fe99f1b,
  abstract     = {<p>This study assesses the short and medium-term impact of extreme temperatures on population health and health-related costs in Germany. For 1999 to 2008, we link the universe of 170 million hospital admissions and all 8 million deaths with weather and pollution data at the day-county level. Extreme heat significantly and immediately increases hospitalizations and deaths. This finding holds irrespective of whether we employ econometric models that are standard in economics or models that are standard in epidemiology; we compare and discuss both approaches. We find evidence for partial “harvesting.” At the end of a 30-day window, the immediate health effects are, on average, one quarter lower, but this reduction is primarily evident for cardiovascular and neoplastic diseases. Moreover, aggregating at the yearly level reduces the effect size by more than 90 percent. The health-related economic costs accumulate up to €5 million per 10 million population per hot day with maximum temperatures above 30 °C (86 °F).</p>},
  author       = {Karlsson, Martin and Ziebarth, Nicolas R.},
  issn         = {0095-0696},
  keyword      = {Climate change,Cold day,Extreme temperatures,Hospital admissions,Hot day,Mortality,Pollution,Population health effects,Weather},
  language     = {eng},
  month        = {09},
  pages        = {93--117},
  publisher    = {Elsevier},
  series       = {Journal of Environmental Economics and Management},
  title        = {Population health effects and health-related costs of extreme temperatures : Comprehensive evidence from Germany},
  url          = {http://dx.doi.org/10.1016/j.jeem.2018.06.004},
  volume       = {91},
  year         = {2018},
}