Evidence map›Paper›PMID 28558010›Full record

ArticlePloS one2017

Effect of meteorological factors and geographic location on methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci colonization in the US.

Natalia Blanco, Eli Perencevich, Shan Shan Li, Daniel J Morgan, Lisa Pineles, J Kristie Johnson, Gwen Robinson, Deverick J Anderson, Jesse T Jacob, Lisa L Maragakis and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Natalia BlancoDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.ORCID http://orcid.org/0000-0002-3157-1119
Eli PerencevichDepartment of Internal Medicine, University of Iowa College of Medicine, Iowa City, United States of America.
Shan Shan LiDepartment of Biostatistics, Indiana University Fairbanks School of Public Health, Indianapolis, United States of America.
Daniel J MorganDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.
Lisa PinelesDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.
J Kristie JohnsonDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.
Gwen RobinsonDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.
Deverick J AndersonDepartment of Medicine, Duke University School of Medicine, Durham, United States of America.
Jesse T JacobDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, United States of America.
Lisa L MaragakisDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Anthony D HarrisDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, United States of America.
CDC Prevention Epicenter Program
University of Maryland, Baltimore · USDuke University · USEmory University · USIndiana University – Purdue University Indianapolis · USJohns Hopkins University · USUniversity of Iowa · US

Funding

NCEZID CDC HHS U54 CK000450
6 · The paper itself

Abstract

backgroundLittle is known about the effect of meteorological conditions and geographical location on bacterial colonization rates particularly of antibiotic-resistant Gram-positive bacteria. We aimed to evaluate the effect of season, meteorological factors, and geographic location on methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE) colonization.

methodsThe prospective cohort included all adults admitted to 20 geographically-dispersed ICUs across the US from September 1, 2011 to October 4, 2012. Nasal and perianal swabs were collected at admission and tested for MRSA and VRE colonization respectively. Poisson regression models using monthly aggregated colonization counts as the outcome and mean temperature, relative humidity, total precipitation, season, and/or latitude as predictors were constructed for each pathogen.

resultsA total of 24,704 ICU-admitted patients were tested for MRSA and 24,468 for VRE. On admission, 10% of patients were colonized with MRSA and 12% with VRE. For MRSA and VRE, a 10% increase in relative humidity was associated with approximately a 9% increase in prevalence rate. Southerly latitudes in the US were associated with higher MRSA colonization, while northerly latitudes were associated with higher VRE colonization. In contrast to MRSA, the association between VRE colonization and latitude was observed only after adjusting for relative humidity, which demonstrates how this effect is highly driven by this meteorological factor.

conclusionsTo our knowledge, we are the first to study the effect of meteorological factors and geographical location/latitude on MRSA and VRE colonization in adults. Increasing humidity was associated with greater MRSA and VRE colonization. Southerly latitudes in the US were associated with greater MRSA and less VRE. The effect of these factors on MRSA and VRE rates has the potential not only to inform patient management and treatment, but also infection prevention interventions.

Indexed as

GeographyMeteorologyEnterococcusMethicillin-Resistant Staphylococcus aureusProspective StudiesUnited StatesVancomycin Resistance

Identifiers

PMID28558010
PMCPMC5448764
OpenAlexW2617892567

What OpenQuestion holds

Textmetadata
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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.