Evidence map›Paper›PMID 27450432›Full record

ArticleBMC infectious diseases2016

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

Rachel E Rosenberg Goldstein, Raul Cruz-Cano, Chengsheng Jiang, Amanda Palmer, David Blythe, Patricia Ryan, Brenna Hogan, Benjamin White, John R Dunn, Tanya Libby and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Occurrence and antimicrobial resistance ofItalian journal of food safety · 2020
    Article
  6. Article
  7. Campylobacteriosis, Salmonellosis, Yersiniosis, and Listeriosis as Zoonotic Foodborne Diseases: A Review.International journal of environmental research and public health · 2018
    Review
  8. Article
  9. Current and Potential Treatments for ReducingFrontiers in microbiology · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 1 country.

Rachel E Rosenberg GoldsteinMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA.
Raul Cruz-CanoDepartment of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA.
Chengsheng JiangMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA.
Amanda PalmerPrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
David BlythePrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
Patricia RyanPrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
Brenna HoganPrevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
Benjamin WhiteEmerging Infections Program, Disease Control and Environmental Epidemiology Division, Colorado Department of Public Health and Environment, Denver, CO, USA.
John R DunnCommunicable and Environmental Disease Surveillance, Tennessee Department of Health, Nashville, TN, USA.
Tanya LibbyCalifornia Emerging Infections Program, Oakland, CA, USA.
Melissa Tobin-D'AngeloAcute Disease Epidemiology Section, Georgia Department of Public Health, Atlanta, GA, USA.
Jennifer Y HuangOffice of Infectious Disease, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Suzanne McGuireNew York State Department of Health, Albany, NY, USA.
Karen ScherzingerNew Mexico Emerging Infections Program, University of New Mexico, Albuquerque, NM, USA.
Mei-Ling Ting LeeDepartment of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA.
Amy R SapkotaMaryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA. ars@umd.edu.
University of Maryland, College Park · USMaryland Department of Health · USCenters for Disease Control and Prevention · USColorado Department of Public Health and Environment · USGeorgia Department of Public Health · USNew York State Department of Health · USTennessee Department of Health · USUniversity of New Mexico · US

Funding

NCEZID CDC HHS U50 CK000316
6 · The paper itself

Abstract

backgroundCampylobacter 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.

methodsWe 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.

resultsCommunity 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).

conclusionsCommunity socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors and Campylobacter infection.

Indexed as

AdolescentAdultAgedAged, 80 and overAnimal HusbandryAnimalsCampylobacter InfectionsChickensChildChild, PreschoolEnvironmentFemaleFoodborne DiseasesHealth SurveysHumansIncidenceBroiler chickenCampylobacterCommunity socioeconomic and environmental factorsDairyFoodNet

Identifiers

PMID27450432
PMCPMC4957341
OpenAlexW2494690011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.