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Laura Jackson     Senior Scientist or Principal Investigator 
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Laura Jackson published an article in November 2018.
Top co-authors See all
Jian-Yong Wu

218 shared publications

Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road 79, Hangzhou, 310003, China

Yongping Yuan

35 shared publications

Systems Exposure Division; U.S. Environmental Protection Agency; Research Triangle Park North Carolina USA

Elaine A. Cohen Hubal

27 shared publications

Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States

Danelle T Lobdell

22 shared publications

U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, MD 58A, Research Triangle Park, NC 27711, USA

Edward Hudgens

16 shared publications

United States Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, MD 58-C, 109. T.W. Alexander Drive, Research Triangle Park, NC 27711, USA

16
Publications
10
Reads
0
Downloads
87
Citations
Publication Record
Distribution of Articles published per year 
(2004 - 2018)
Total number of journals
published in
 
12
 
Publications See all
Article 0 Reads 0 Citations A Needs-Driven, Multi-Objective Approach to Allocate Urban Ecosystem Services from 10,000 Trees Andrew Almeter, Arik Tashie, Andrew Procter, Tara McAlexande... Published: 29 November 2018
Sustainability, doi: 10.3390/su10124488
DOI See at publisher website ABS Show/hide abstract
Urban areas face challenges including vehicular emissions, stormwater runoff, and sedentary lifestyles. Communities recognize the value of trees in mitigating these challenges by absorbing pollution and enhancing walkability. However, siting trees to optimize multiple benefits requires a systems approach that may cross sectors of management and expertise. We present a spatially-explicit method to optimize tree planting in Durham, NC, a rapidly growing urban area with an aging tree stock. Using GIS data and a ranking approach, we explored where Durham could augment its current stock of willow oaks through its plans to install 10,000 mid-sized deciduous trees. Data included high-resolution landcover metrics developed by the U.S. Environmental Protection Agency (EPA), demographics from the U.S. Census, an attributed roads dataset licensed to the EPA, and sidewalk information from the City of Durham. Census block groups (CBGs) were ranked for tree planting according to single and multiple objectives including stormwater reduction, emissions buffering, walkability, and protection of vulnerable populations. Prioritizing tree planting based on single objectives led to four sets of locations with limited geographic overlap. Prioritizing tree planting based on multiple objectives tended to favor historically disadvantaged CBGs. The four-objective strategy met the largest proportion of estimated regional need. Based on this analysis, the City of Durham has implemented a seven-year plan to plant 10,000 trees in priority neighborhoods. This analysis also found that any strategy which included the protection of vulnerable populations generated more benefits than others.
Article 5 Reads 1 Citation Exploring links between greenspace and sudden unexpected death: A spatial analysis Jianyong Wu, Kristen M. Rappazzo, Ross J. Simpson, Golsa Joo... Published: 01 April 2018
Environment International, doi: 10.1016/j.envint.2018.01.021
DOI See at publisher website ABS Show/hide abstract
Greenspace has been increasingly recognized as having numerous health benefits. However, its effects are unknown concerning sudden unexpected death (SUD), commonly referred to as sudden cardiac death, which constitutes a large proportion of mortality in the United States. Because greenspace can promote physical activity, reduce stress and buffer air pollutants, it may have beneficial effects for people at risk of SUD, such as those with heart disease, hypertension, and diabetes mellitus. Using several spatial techniques, this study explored the relationship between SUD and greenspace. We adjudicated 396 SUD cases that occurred from March 2013 to February 2015 among reports from emergency medical services (EMS) that attended out-of-hospital deaths in Wake County (central North Carolina, USA). We measured multiple greenspace metrics in each census tract, including the percentages of forest, grassland, average tree canopy, tree canopy diversity, near-road tree canopy and greenway density. The associations between SUD incidence and these greenspace metrics were examined using Poisson regression (non-spatial) and Bayesian spatial models. The results from both models indicated that SUD incidence was inversely associated with both greenway density (adjusted risk ratio [RR] = 0.82, 95% credible/ confidence interval [CI]: 0.69–0.97) and the percentage of forest (adjusted RR = 0.90, 95% CI: 0.81–0.99). These results suggest that increases in greenway density by 1 km/km2 and in forest by 10% were associated with a decrease in SUD risk of 18% and 10%, respectively. The inverse relationship was not observed between SUD incidence and other metrics, including grassland, average tree canopy, near-road tree canopy and tree canopy diversity. This study implies that greenspace, specifically greenways and forest, may have beneficial effects for people at risk of SUD. Further studies are needed to investigate potential causal relationships between greenspace and SUD, and potential mechanisms such as promoting physical activity and reducing stress.
Article 0 Reads 2 Citations Inverse Relationship between Urban Green Space and Childhood Autism in California Elementary School Districts Jianyong Wu, Laura Jackson Published: 20 July 2017
Environment International, doi: 10.1016/j.envint.2017.07.010
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Green space has a variety of health benefits. However, little is known about its impact on autism, the fastest-growing neurodevelopmental disorder in children. This study examined the relationship between green space and childhood autism prevalence. Autism count data in 2010 were obtained for 543 of ~ 560 public elementary school districts in California. Multiple types of green space were measured in each school district, including percentages of forest, grassland, and average tree canopy and near-road tree canopy. Their associations with autism prevalence were evaluated with negative binomial regression models and spatial regression models. We observed inverse associations between several green space metrics and autism prevalence in school districts with high road density, the highly urbanized areas, but not in others. According to negative binomial regression models, adjusted rate ratios (RR) for the relationships in these school districts between autism prevalence and green space metrics in 10% increments were as follows: for forest, RR = 0.90 (95% confidence interval [CI]: 0.84–0.95); for grassland, RR = 0.90 (95% CI: 0.83–0.97); for average tree canopy, RR=0.89 (95% CI: 0.83–0.95), and for near-road tree canopy, RR=0.81 (95% CI: 0.73–0.91). These results suggest that increases of 10% in forest, grassland, average tree canopy and near-road tree canopy are associated with a decrease in autism prevalence of 10%, 10% 11% and 19%, respectively. In contrast, urban land and road density were positively associated with autism prevalence. The results of spatial regression models were consistent with those obtained by negative binomial models, except for grassland. Our study suggests that green space, specifically tree cover in areas with high road density, may influence autism prevalence in elementary school children. Further studies are needed to investigate a potential causal relationship, and the major mechanisms that may underlie the beneficial associations with green space, such as buffering traffic-related air pollution and noise.
Article 1 Read 0 Citations Association of land use and its change with beach closure in the United States, 2004–2013 Jianyong Wu, Laura Jackson Published: 01 November 2016
Science of The Total Environment, doi: 10.1016/j.scitotenv.2016.07.116
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 2 Citations Association between Natural Resources for Outdoor Activities and Physical Inactivity: Results from the Contiguous United... Yan Jiang, Yongping Yuan, Anne Neale, Laura Jackson, Megan M... Published: 17 August 2016
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph13080830
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Protected areas including national/state parks and recreational waters are excellent natural resources that promote physical activity and interaction with Nature, which can relieve stress and reduce disease risk. Despite their importance, however, their contribution to human health has not been properly quantified. This paper seeks to evaluate quantitatively how national/state parks and recreational waters are associated with human health and well-being, taking into account of the spatial dependence of environmental variables for the contiguous U.S., at the county level. First, we describe available natural resources for outdoor activities (ANROA), using national databases that include features from the Protected Areas Database, NAVSTREETS, and ATTAINSGEO 305(b) Waters. We then use spatial regression techniques to explore the association of ANROA and socioeconomic status factors on physical inactivity rates. Finally, we use variance analysis to analyze ANROA’s influence on income-related health inequality. We found a significantly negative association between ANROA and the rate of physical inactivity: ANROA and the spatial effect explained 69%, nationwide, of the variation in physical inactivity. Physical inactivity rate showed a strong spatial dependence—influenced not only by its own in-county ANROA, but also by that of its neighbors ANROA. Furthermore, community groups at the same income level and with the highest ANROA, always had the lowest physical inactivity rate. This finding may help to guide future land use planning and community development that will benefit human health and well-being.
Article 0 Reads 19 Citations EnviroAtlas: A new geospatial tool to foster ecosystem services science and resource management Brian R. Pickard, Jessica Daniel, Megan Mehaffey, Laura E. J... Published: 01 August 2015
Ecosystem Services, doi: 10.1016/j.ecoser.2015.04.005
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