Joel Halverson
West Virginia University
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Journal of Biogeography | 1992
Andrew M. Liebhold; Joel Halverson; Gregory A. Elmes
The gypsy moth, Lymantria dispar (L.), was accidentally introduced to North America in 1868 or 1869. Since that time, the range of this insect has spread to include most of the northeastern states in the US and eastern provinces of Canada. We compiled historical records of gypsy moth invasion in North America and as- sembled these data in a geographical information system (GIS). Individual US counties and Canadian census dis- tricts were used as the smallest spatial unit in this data- base. Data indicated that three distinct periods occurred during which spread rates differed: a high rate (9.45 km/ year) from 1900 to 1915, a low rate (2.82km/year) from 1916 to 1965, and a very high rate (20.78 km/year) from 1966 to 1990. Furthermore, expansion was slower (7.61 km/year) during the period of 1966-1990 in counties where the mean minimum temperature was less than 7? (C). The rate of range expansion was independently cal- culated as 2.5 km/year from estimates of r, the intrinsic rate of increase, and D, the diffusion coefficient (disper- sal magnitude) and a simple spread model. This estimate was substantially less than the empirically derived expan- sion rates. The higher observed rates of expansion may be due to human-caused movement of gypsy moth life stages which was not incorporated in estimates of D made here.
American Journal of Public Health | 2001
Elizabeth Barnett; Joel Halverson
OBJECTIVES This study analyzed coronary heart disease (CHD) mortality trends from 1985 to 1995, by race and sex, among Black and White adults 35 years and older to determine whether adverse trends were evident in any US localities. METHODS Log-linear regression models of annual age-adjusted death rates provided a quantitative measure of local mortality trends. RESULTS Increasing trends in CHD mortality were observed in 11 of 174 labor market areas for Black women, 23 of 175 areas for Black men, 10 of 394 areas for White women, and 4 of 394 areas for White men. Nationwide, adverse trends affected 1.7% of Black women, 8.0% of Black men, 1.1% of White women, and 0.3% of White men. CONCLUSIONS From 1985 to 1995, moderate to strong local increases in CHD mortality were observed, predominantly in the southern United States. Black men evidenced the most unfavorable trends and were 25 times as likely as White men to be part of a local population experiencing increases in coronary heart disease mortality.
Annals of Epidemiology | 2000
Elizabeth Barnett; Joel Halverson; Gregory A. Elmes; Valerie E. Braham
OBJECTIVES In this article, we report on metropolitan and non-metropolitan trends in coronary heart disease (CHD) mortality within the Appalachian Region for the period 1980 to 1997. We hypothesized that trends in CHD mortality would be less favorable in non-metropolitan populations with diminished access to social, economic, and medical care resources at the community level. METHODS Our study population consisted of adults aged 35 years and older who resided within the 399 counties of the Appalachian Region between 1980 and 1997. We examined mortality trends for sixteen geo-demographic groups, defined by gender, age, race, and metropolitan status of county of residence. For each geo-demographic group, we calculated annual age-adjusted CHD mortality rates. Line graphs of these temporal trends were created, and log-linear regression models provided estimates of the average annual percent change in CHD mortality from 1980 to 1997. Data on social, economic, and medical care resources for metropolitan vs. non-metropolitan counties were also analyzed. RESULTS Rates of CHD mortality were consistently higher in non-metropolitan areas compared with metropolitan areas for blacks of all ages and for younger whites. CHD mortality declined among almost all geo-demographic groups, but rates of decline were slower among non-metropolitan vs. metropolitan residents, blacks vs. whites, women vs. men, and older vs. younger adults. Non-metropolitan areas had fewer socioeconomic and medical care resources than metropolitan areas in 1990. CONCLUSIONS Appalachia, particularly non-metropolitan Appalachia, needs policies and programs that will enhance both primary and secondary prevention of CHD, and help diminish racial inequalities in CHD mortality trends.
Journal of Rural Health | 2010
Michael Hendryx; Evan Fedorko; Joel Halverson
PURPOSE To conduct an assessment of rural environmental pollution sources and associated population mortality rates. METHODS The design is a secondary analysis of county-level data from the Environmental Protection Agency (EPA), Department of Agriculture, National Land Cover Dataset, Energy Information Administration, Centers for Disease Control and Prevention, the US Census, and others. We described the types of pollution sources present in metropolitan and nonmetropolitan counties and examined the associations between these sources and rates of all-cause, cardiovascular, respiratory, and cancer mortality while controlling for age, race, and other covariates. FINDINGS Rural counties had 65,055 EPA-monitored pollution discharge sites. As expected, rural counties had significantly greater exposure to potential agriculture-related pollution. Regression models specific to rural counties indicated that greater density of water pollution sources was significantly associated with greater total and cancer mortality. Rural air pollution sources were associated with greater cancer mortality rates. Rural coal mining areas had higher total, cancer, and respiratory disease mortality rates. Agricultural production was generally associated with lower mortality rates. Greater levels of human development were significantly related to higher adjusted total and cancer mortality. CONCLUSIONS The association between pollution sources and mortality risk is not a phenomenon limited to metropolitan areas. Results carry policy implications regarding the need for effective environmental standards and monitoring. Further research is needed to better understand the types and distributions of pollution in rural areas, and the health consequences that result.
Cancer Epidemiology, Biomarkers & Prevention | 2011
Ami Vyas; Suresh Madhavan; Traci LeMasters; Elvonna Atkins; Stephenie Kennedy; Kimberly M. Kelly; Linda Vona-Davis; Joel Halverson; Scot C. Remick
The objectives of this study were to evaluate the characteristics (demographic, access to care, health-related behavioral, self and family medical history, psychosocial) of women age 40 years and above who participated in a mobile mammography screening program conducted throughout West Virginia (WV) to determine the factors influencing their self-reported adherence to mammography screening guidelines. Data were analyzed using the Andersen Behavioral Model of Healthcare Utilization framework to determine the factors associated with adherence to mammography screening guidelines in these women. Of the 686 women included in the analysis, 46.2% reported having had a mammogram in the past 2 years. Bivariate analyses showed predisposing factors such as older age and unemployed status, visit to a obstetrician/gynecologist (OB/GYN) in the past year (an enabling factor) and need-related factors such as having a family history of breast cancer (BC), having had breast problems in the past, having had breast biopsy in the past, having had a Pap test in past 2 years, and having had all the screenings for cholesterol, blood glucose, bone mineral density and high blood pressure in past 2 years to be significant predictors of self-reported adherence to mammography guidelines. In the final model, being above 50 years (OR = 2.132), being morbidly obese (OR = 2.358), having BC-related events and low knowledge about mammography were significant predictors of self-reported adherence. Breast cancer related events seem to be associated with mammography screening adherence in this rural Appalachian population. Increasing adherence to mammography screening may require targeted, community-based educational interventions that precede and complement visits by the mobile mammography unit.
Archive | 2001
Elizabeth Barnett; Michele Casper; Joel Halverson; Gregory A. Elmes; Valerie E. Braham; Zainal A. Majeed; Amy S. Bloom; Shaun Stanley
Ethnicity & Disease | 2002
Joel Halverson; Elizabeth Barnett; Michele Casper
Forest Science | 1994
Andrew M. Liebhold; Gregory A. Elmes; Joel Halverson; John Quimby
American Journal of Preventive Medicine | 2005
Elizabeth Barnett; Tracey Anderson; John R. Blosnich; Joel Halverson; Janelle Novak
The West Virginia medical journal | 2009
R. Khanna; Abhijeet Bhanegaonkar; Pat Colsher; Suresh Madhavan; Joel Halverson