Abstract
The data presented in this article were used to estimate the impacts of air pollution policies on population health and health inequalities within a spatial microsimulation model, MicroEnv [1]. They provide a basis for comparison with similar models and allow researchers to integrate additional model components without duplication of effort. Relative risk estimates for the association between air pollution and rates of ischaemic heart disease (IHD) incidence, IHD case fatality and all-cause mortality were taken from a review of the epidemiological literature and meta-analyses [2]. Modelled small area air pollution data (PM2.5) for Greater London, UK were obtained from an environmental consultancy. All other data were collected from open source Governmental or Non-Government Organisation (NGO) data repositories. These include all-cause mortality rates; IHD incidence, prevalence and mortality rates; general fertility rates; small area socio-economic deprivation data; and relative risk estimates for the association between deprivation and all-cause mortality.
Highlights
The data presented in this article were used to estimate the impacts of air pollution policies on population health and health inequalities within a spatial microsimulation model, MicroEnv [1]
Relative risk estimates for the association between air pollution and rates of ischaemic heart disease (IHD) incidence, IHD case fatality and all-cause mortality were taken from a review of the epidemiological literature and meta-analyses [2]
All data were acquired from open access internet databases, except the modelled air pollution data and the relative risk estimates for the association between air pollution and rates of IHD incidence, IHD case fatality and all-cause mortality
Summary
All data were acquired from open access internet databases, except the modelled air pollution data and the relative risk estimates for the association between air pollution and rates of IHD incidence, IHD case fatality and all-cause mortality. The former were provided by Ricardo Energy and Environment and the latter were obtained from a review of the academic literature and meta-analyses. The data described in this article form the basis of a spatial microsimulation model, MicroEnv, which aims to investigate the impact of environmental policies on population health [1].
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