Rural Environment

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The Experts below are selected from a list of 147975 Experts worldwide ranked by ideXlab platform

Jesse Saginor - One of the best experts on this subject based on the ideXlab platform.

  • a meta analysis of the effect of Environmental contamination and positive amenities on residential real estate values
    2006
    Co-Authors: Robert A Simons, Jesse Saginor
    Abstract:

    This paper addresses the effects of Environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study's loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or Rural Environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information, research method and several other variables are statistically significant.

  • a meta analysis of the effect of Environmental contamination and positive amenities on residential real estate values
    Journal of Real Estate Research, 2006
    Co-Authors: Robert A Simons, Jesse Saginor
    Abstract:

    This paper addresses the effects of Environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study's loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or Rural Environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information...

Robert A Simons - One of the best experts on this subject based on the ideXlab platform.

  • a meta analysis of the effect of Environmental contamination and positive amenities on residential real estate values
    2006
    Co-Authors: Robert A Simons, Jesse Saginor
    Abstract:

    This paper addresses the effects of Environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study's loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or Rural Environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information, research method and several other variables are statistically significant.

  • a meta analysis of the effect of Environmental contamination and positive amenities on residential real estate values
    Journal of Real Estate Research, 2006
    Co-Authors: Robert A Simons, Jesse Saginor
    Abstract:

    This paper addresses the effects of Environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study's loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or Rural Environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information...

Zhexue Quan - One of the best experts on this subject based on the ideXlab platform.

  • the influence of age and gender on skin associated microbial communities in urban and Rural human populations
    PLOS ONE, 2015
    Co-Authors: Shi Ying, Danning Zeng, Liang Chi, Yuan Tan, Carlos Galzote, Cesar Cardona, Simon Lax, Jack A Gilbert, Zhexue Quan
    Abstract:

    Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or Rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or Rural Environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and Rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a Rural resident ~5x greater than random.

Emmanuelle Gilot-fromont - One of the best experts on this subject based on the ideXlab platform.

  • Local meteorological conditions, dynamics of seroconversion to Toxoplasma gondii in cats ( Felis catus) and oocyst burden in a Rural Environment.
    Epidemiology and Infection, 2010
    Co-Authors: Eve Afonso, P. Thulliez, Emmanuelle Gilot-fromont
    Abstract:

    SUMMARYThe aim of this study was to analyse the spatio-temporal dynamics of Toxoplasma gondii infection in long-term monitoring of domestic cats (8-15 years) in three populations living in Rural France. Overall seroprevalence was 52.7% (modified agglutination test 1:40). Incidence was 0.26-0.39 seroconversions/cat per year, and the estimated rate of soil contamination by T. gondii oocysts ranged between 31 and 3600 oocysts/m2 per year, depending on the population. Incidence risk in cats was related to mean precipitation, explaining both the spatial and temporal variability in risk: local conditions explained differences between the three study sites and incidence risk increased during rainy years. This study brings rare quantitative information on the level of contamination of the Environment by T. gondii oocysts, and suggests that the spatio-temporal distribution of incidence risk in cats may reflect both the influence of rain on prey populations and infectivity of T. gondii oocysts.

Sébastien Devillard - One of the best experts on this subject based on the ideXlab platform.

  • The Rural-urban effect on spatial genetic structure of type II Toxoplasma gondii strains involved in human congenital toxoplasmosis, France, 2002-2009.
    Infection Genetics and Evolution, 2015
    Co-Authors: Daniel Ajzenberg, Isabelle Villena, Marielaure Darde, Frédéric Collinet, Dominique Aubert, Sébastien Devillard
    Abstract:

    Congenital toxoplasmosis involves Toxoplasma gondii type II strains in 95% of cases in France. We used spatial principal component analysis (sPCA) and 15 microsatellite markers to investigate the spatial genetic structure of type II strains involved in 240 cases of congenital toxoplasmosis in France from 2002 through 2009. Mailing addresses of patients were geo-referenced a posteriori in decimal degrees and categorized into urban or Rural areas of residence. No spatial genetic structure was found for type II strains that infected mothers who were living in urban areas, but a global spatial genetic structure was found for those that infected mothers who were living in a Rural Environment. Our results suggest that sources of infection by T. gondii are different in Rural and urban areas in France, and advocate for targeted messages in the prevention of toxoplasmosis according to the type of residence of susceptible people.