TY  - INPR
UR  - https://doi.org/10.1016/j.scitotenv.2019.134105
KW  - Microsimulation
KW  -  Health modelling
KW  -  Environmental risks
KW  - 
Deprivation
KW  -  Air pollution
KW  -  SDGs
TI  - MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities
SN  - 1879-1026
N1  - This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article?s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
ID  - discovery10081786
AV  - public
JF  - Science of the Total Environment
N2  - The Sustainable Development Goals (SDGs) recognise the critical need to improve population health and environmental sustainability. This paper describes the development of a microsimulation model, MicroEnv, aimed
at quantifying the impact of environmental exposures on health as an aid to selecting policies likely to have
greatest benefit. Its methods allow the integration of morbidity and mortality outcomes and the generation of results at high spatial resolution. We illustrate its application to the assessment of the impact of air pollution on
health in London. Simulations are performed at Lower Layer Super Output Area (LSOA), the smallest geographic
unit (population of around 1500 inhabitants) for which detailed socio-demographic data are routinely available
in the UK. The health of each individual in these LSOAs is simulated year-by-year using a health-state-transition
model, where transition probabilities from one state to another are based on published statistics modified by relative risks that reflect the effect of environmental exposures. This is done through linkage of the simulated population in each LSOA with 1 × 1 km annual average PM2.5 concentrations and area-based deprivation indices. Air
pollution is a leading cause of mortality and morbidity globally, and improving air quality is critical to the SDGs
for Health (Goal 3) and Cities (Goal 11). The evidence of MicroEnv is aimed at providing better understanding of
the benefits for population health and health inequalities of policy actions that affect exposure such as air quality,
and thus to help shape policy decisions. Future work will extend the model to integrate other environmental determinants of health.
Y1  - 2019/12/20/
VL  - 697
A1  - Symonds, P
A1  - Hutchinson, E
A1  - Ibbetson, A
A1  - Taylor, J
A1  - Milner, J
A1  - Chalabi, Z
A1  - Davies, M
A1  - Wilkinson, P
ER  -