PubMed · 11432282
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
D Carpenter. 2001. Information technology. Remote control.. https://pubmed.ncbi.nlm.nih.gov/11432282/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
In this study, we report the coding-complete genome sequence of Grapevine leafroll-associated virus 13 (GLRaV-13), isolate CA8881, detected in Vitis vinifera in California, USA. The genome sequence exhibited over 95% nucleotide identity with previously reported GLRaV-13 isolates and contributed to better understanding of the genetic diversity of ampeloviruses infecting grapevine.
Behavioral health carve-out arrangements create financial disincentives for primary care providers (PCPs) to treat depression. A novel collaboration between a primary care practice, a health insurer, and a managed behavioral health organization (MBHO) allows PCPs to receive reimbursement and schedule longer appointments to care for depressed patients. This article describes the details of the arrangement, and early results of this collaboration. Early results find that financial incentives are critical for implementation, but that time incentives do not appear to motivate PCPs. Sustainability of this model will require participation of multiple primary care practices, health insurers, and MBHOs.
We modeled the intraurban distribution of nitrogen dioxide (NO(2)), a marker for traffic pollution, with land use regression, a promising new exposure classification technique. We deployed diffusion tubes to measure NO(2) levels at 39 locations in the fall of 2003 in San Diego County, CA, USA. At each sample location, we constructed circular buffers in a geographic information system and captured information on roads, traffic flow, land use, population and housing. Using multiple linear regression, we were able to predict 79% of the variation in NO(2) levels with four variables: traffic density within 40-300 m of the sampling location, traffic density within 300-1000 m, length of road within 40 m and distance to the Pacific coast. Applying this model to validation samples showed that the model predicted NO(2) levels within, on average, 2.1 p.p.b for 12 training sites initially excluded from the model. Our evaluation of this land use regression model showed that this method had excellent prediction and robustness in a North American context. These models may be useful tools in evaluating health effects of long-term exposure to traffic-related pollution.