Although more sophisticated methods exist to precisely measure distance to a health facility and to quantify other access barriers, they require additional human and financial resources and may be more difficult to communicate to decision-makers.
We further advocate that uncertainties in the landslide projections must be quantified and communicated to decision makers and the public.
The final level of concern and characterized genotoxicity risk assessment are communicated to decision makers for possible regulatory action(s) and to the public.
Communication: Any study or project experiences that are meant to influence policy processes must be communicated to decision makers.
The key issues that need to be communicated to decision makers and stakeholders include the specific projected health impacts, the current and projected burden of those impacts, the effectiveness of current interventions to control the health impact, the rate at which negative impacts could be detected, and the degree of certainty associated with the projections.
Furthermore, the results should now be communicated to decision-makers so that they can be considered in planning.
As uncertainty and subjectivity are inescapable components of volcanic hazard forecasts, they must be dealt with and clearly communicated to decision-makers and society.
Methods for incorporating microclimate information in design should be made more user-friendly and accessible to designers, and knowledge about the effects of landscape planning and design on climate should be effectively communicated to decision-makers at all levels.
The ways in which potential applications are communicated to decision-makers range from applicable outputs including publications ranging from review papers, book chapters, and books, to applied outputs which include interdisciplinary problem solving, educational outreach, and direct involvement, with examples summarized in Table 3.
This uncertainty should be communicated to decision-makers.
This tutorial describes how uncertainty in preclinical human dose-prediction can be quantified and efficiently communicated to decision-makers and scientists not trained in modeling.
