In this study we are developing the next generation of health impact models of transport and testing this in England. The study builds on the existing ITHIM tools.
This study represents a sister study to TIGTHAT. In TIGTHAT we are laying the foundation for a globally applicable model that can cover settings with diverse and typically limited data. In METAHIT we are investigating how far we can go with a setting with good data.
Key developments in METAHIT are
- Producing estimates at smaller spatial scales
- Better representation of uncertainty, including using Value of Information analysis to prioritise future reserach
- Inclusion of noise pollution
- Improved calibration of approaches used in surveillance of exposures with those used to estimate the strengh of aetiological relationships.
- Comparison of health impact modelling methods
- Data driven scenarios building on the Propensity to Cycle Tool
The model will be built in R and all code will be made available open source.
METAHIT runs from July 2017 to June 2020
Investigators and researchers are:
London School of Hygiene and Tropical Medicine (Dr Anna Goodman)
Norwegion Centre for Transport Research (Dr Rune Elvik).