Evidence map›Paper›PMID 31249856›Full record

ArticleOne health (Amsterdam, Netherlands)2019

Spatial relationships between small-holder farms coupled with livestock management practices are correlated with the distribution of antibiotic resistant bacteria in northern Tanzania.

Leah Rosenkrantz, Ofer Amram, Mark A Caudell, Nadine Schuurman, Douglas R Call

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

5 authors at 3 institutions in 2 countries.

Leah RosenkrantzDepartment of Geography, Simon Fraser Univesity, Burnaby V5A 1S6, British Columbia, Canada.
Ofer AmramElson S. Floyd College of Medicine, Washington State University, Spokane, PO Box 1495, WA, USA.
Mark A CaudellPaul G. Allen School for Global Animal Health, Washington State University, Pullman, 99164 Washington, USA.
Nadine SchuurmanDepartment of Geography, Simon Fraser Univesity, Burnaby V5A 1S6, British Columbia, Canada.
Douglas R CallPaul G. Allen School for Global Animal Health, Washington State University, Pullman, 99164 Washington, USA.
Simon Fraser University · CAWashington State University · USWashington State University Spokane · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the spatial distribution of antibiotic-resistant coliform bacteria amongst livestock from three distinct cultural groups, where group-level differences in practices (e.g., antibiotic use) may influence the magnitude of antibiotic resistance, while livestock interactions (e.g., mixing herds, shared markets) between these locations may reduce heterogeneity in the distribution of antibiotic resistant bacteria. Data was collected as part of a larger study of antibiotic-resistance in northern Tanzania. Simple regression and generalized linear regression were used to assess livestock management and care practices in relation to the prevalence of multidrug-resistant (MDR) coliform bacteria. Simple and multivariable logistic regression were then used to identify how different management practices affected the odds of households being found within MDR "hotspots." Households that had a higher median neighbourhood value within a 3000 m radius showed a significant positive correlation with livestock MDR prevalence (β = 4.33, 95% CI: 2.41-6.32). Households were more likely to be found within hotspots if they had taken measures to avoid disease (Adjusted Odds Ratio (AOR) 1.53, CI: 1.08-2.18), and if they reported traveling less than a day to reach the market (AOR 2.66, CI: 1.18-6.01). Hotspot membership was less likely when a greater number of livestock were kept at home (AOR 0.81, CI: 0.69-0.95), if livestock were vaccinated (AOR 0.32, CI: 0.21-0.51), or if distance to nearest village was greater (AOR 0.46, CI: 0.36-0.59). The probability of MDR increases when herds are mixed, consistent with evidence for passive transmission of resistant bacteria between animals. Reduced MDR with vaccination is consistent with many studies showing reduced antibiotic use with less disease burden. The neighbourhood effect has implications for design of intervention studies.

Indexed as

AIC, Akaike's information criterionAMR, Antimicrobial resistanceAntimicrobial resistanceAOR, Adjusted odds ratioHotspot analysisIQR, Interquartile rangeLivestockLMIC, Low- and middle-income countryMDR, Multi-drug resistantMulti-drug resistanceOR, Odds ratioSpatial epidemiologyWHO, World Health Organization

Identifiers

PMID31249856
PMCPMC6584765
OpenAlexW2952314167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.