The larger buffer sizes represent the potential impact of area level sources (e.g., all industrial or residential emissions) on measured concentrations, rather than the impact of a specific road or point source.
However, the health impacts of area-level internal housing improvement interventions are as yet unclear.
This is achieved using the 80% interval Odds Ratio (IOR) [ 30], which shows the impact of area-level risk factors on mortality when comparing SLAs with different area-level characteristics.
A causal framework was then used to investigate the impact of area-level deprivation on the association between access to a GP premises and a community pharmacy (based on previous work 11) by fitting three different models to a varying level of complexity.
However, it is difficult to gather robust evidence of impact for area-level interventions aimed at improving either area characteristics or internal housing conditions, in part because impacts may be diluted by benefiting many who are not personally disadvantaged.
Using these standardized rates, we computed summary statistics and coefficients of variation to gauge the impact of the area-level contextual variables on the measured variation across LHAs.
A review of social capital and health revealed a significant health impact of both individual and area level social capital [ 16].
Finally, a spatial microsimulation model will be used to examine the impact of the sector at the small area level.
The impact of residual confounding by socioeconomic factors at the area level on the present results is uncertain.
The findings, described in Scientific Reports, highlight the environmental and economic impacts of sea-level rise on coastal areas, and the need to properly predict and prepare for these effects.
We examined potential impacts of spatial autocorrelation – the geographic principle that near areas are more similar than are far areas (and thus non-independent) [ 32] – on bivariate measures of association between area-level exposures.
