
From: https://www.epa.gov/cobra/what-cobra EPA's CO–Benefits Risk Assessment (COBRA) screening model is a free tool that helps state and local governments: Explore how changes in air pollution from clean energy policies and programs, including energy efficiency and renewable energy, can affect human health at the county, state, regional, or national levels. Estimate the economic value of the health benefits associated with clean energy policies and programs to compare against program costs. Map and visually represent the air quality, human health, and health-related economic benefits from reductions in emissions of particulate matter (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOX), and volatile organic compounds (VOCs) that result from clean energy policies and programs. This deposit contains the (Windows) installer for the desktop tool, and data for future scenarios: From: https://www.epa.gov/cobra/cobra-future-input-files COBRA Future Input Files COBRA’s Desktop Edition includes default data that allows the user to select input files for population data, incidence data, and valuation data for the years 2016, 2023, and 2028. COBRA also includes a feature allowing users to import custom versions of these files for other years in the Advanced Options tab.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
