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Association between community socioeconomic factors, animal feeding operations, and campylobacteriosis incidence rates: Foodborne Diseases Active Surveillance Network (FoodNet), 2004–2010

Overview of attention for article published in BMC Infectious Diseases, July 2016
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Title
Association between community socioeconomic factors, animal feeding operations, and campylobacteriosis incidence rates: Foodborne Diseases Active Surveillance Network (FoodNet), 2004–2010
Published in
BMC Infectious Diseases, July 2016
DOI 10.1186/s12879-016-1686-9
Pubmed ID
Authors

Rachel E. Rosenberg Goldstein, Raul Cruz-Cano, Chengsheng Jiang, Amanda Palmer, David Blythe, Patricia Ryan, Brenna Hogan, Benjamin White, John R. Dunn, Tanya Libby, Melissa Tobin-D’Angelo, Jennifer Y. Huang, Suzanne McGuire, Karen Scherzinger, Mei-Ling Ting Lee, Amy R. Sapkota

Abstract

Campylobacter is a leading cause of foodborne illness in the United States. Campylobacter infections have been associated with individual risk factors, such as the consumption of poultry and raw milk. Recently, a Maryland-based study identified community socioeconomic and environmental factors that are also associated with campylobacteriosis rates. However, no previous studies have evaluated the association between community risk factors and campylobacteriosis rates across multiple U.S. states. We obtained Campylobacter case data (2004-2010; n = 40,768) from the Foodborne Diseases Active Surveillance Network (FoodNet) and socioeconomic and environmental data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regression models. Community socioeconomic and environmental factors were associated with both lower and higher campylobacteriosis rates. Zip codes with higher percentages of African Americans had lower rates of campylobacteriosis (incidence rate ratio [IRR]) = 0.972; 95 % confidence interval (CI) = 0.970,0.974). In Georgia, Maryland, and Tennessee, three leading broiler chicken producing states, zip codes with broiler operations had incidence rates that were 22 % (IRR = 1.22; 95 % CI = 1.03,1.43), 16 % (IRR = 1.16; 95 % CI = 0.99,1.37), and 35 % (IRR = 1.35; 95 % CI = 1.18,1.53) higher, respectively, than those of zip codes without broiler operations. In Minnesota and New York FoodNet counties, two top dairy producing areas, zip codes with dairy operations had significantly higher campylobacteriosis incidence rates (IRR = 1.37; 95 % CI = 1.22, 1.55; IRR = 1.19; 95 % CI = 1.04,1.36). Community socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors and Campylobacter infection.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 10 14%
Student > Ph. D. Student 10 14%
Student > Bachelor 8 11%
Student > Doctoral Student 4 5%
Other 13 18%
Unknown 17 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 11%
Nursing and Health Professions 7 9%
Medicine and Dentistry 7 9%
Biochemistry, Genetics and Molecular Biology 4 5%
Immunology and Microbiology 3 4%
Other 15 20%
Unknown 30 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2019.
All research outputs
#13,124,430
of 22,881,964 outputs
Outputs from BMC Infectious Diseases
#3,127
of 7,690 outputs
Outputs of similar age
#191,500
of 364,027 outputs
Outputs of similar age from BMC Infectious Diseases
#85
of 200 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.