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Audrey Dorelien, University of Minnesota
The Effects of In Utero Exposure to Influenza on Birth and Infant Outcomes in the US
Located in Coming Up
Dylan Conger, George Washington University
The Effect of Advanced Placement Science on Students' Skills, Confidence, and Stress
Located in Coming Up
Ashton Verdery, Penn State University
Older Adult Family Structure and Mortality (co-authored work with Sarah Patterson and Rachel Margolis)
Located in Coming Up
Caroline Hartnett, University of South Carolina
Exploring the Recent Decline in U.S. Fertility Rates
Located in Coming Up
Kirsten Stoebenau, Behavioral & Community Health
"Come, we try" - A qualitative study of changing marital practices in low-income settings in Eastern Africa and the implications for maternal and child health
Located in Coming Up
Caryn Bell, African American Studies
Structural Racism and Population Health
Located in Coming Up
Laura Lindberg, Guttmacher Institute
Completeness of Abortion Reporting in Three National Surveys in the United States
Located in Coming Up
Article ReferenceRurality, presence of broiler operations, and community socioeconomic factors influence the risk of Campylobacteriosis in Maryland
Objectives. We evaluated the combined impact of community-level environmental and socioeconomic factors on the risk of campylobacteriosis. Methods. We obtained Campylobacter case data (2002–2010; n = 3694) from the Maryland Foodborne Diseases Active Surveillance Network. We obtained community-level socioeconomic and environmental data from the 2000 US Census and the 2007 US Census of Agriculture. We linked data by zip code. We derived incidence rate ratios by Poisson regressions. We mapped a subset of zip code–level characteristics. Results. In zip codes that were 100% rural, incidence rate ratios (IRRs) of campylobacteriosis were 6 times (IRR = 6.18; 95% confidence interval [CI] = 3.19, 11.97) greater than those in urban zip codes. In zip codes with broiler chicken operations, incidence rates were 1.45 times greater than those in zip codes without broilers (IRR = 1.45; 95% CI = 1.34, 1.58). We also observed higher rates in zip codes whose populations were predominantly White and had high median incomes. Conclusions. The community and environment in which one lives may significantly influence the risk of campylobacteriosis.
Located in MPRC People / Robin Puett, Ph.D. / Robin Puett Publications
Fenelon comments on U.S. life expectancy
Newsweek article examines legislative action to develop a plan to increase life expectancy
Located in News
India Human Development Survey - Wave Three
NICHD-R01 - Dr. Sonalde Desai
Located in Research / Selected Research