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Temporal relationship between antibiotic use and respiratory virus activities in the Republic of Korea: a time-series analysis

Overview of attention for article published in Antimicrobial Resistance & Infection Control, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Temporal relationship between antibiotic use and respiratory virus activities in the Republic of Korea: a time-series analysis
Published in
Antimicrobial Resistance & Infection Control, April 2018
DOI 10.1186/s13756-018-0347-8
Pubmed ID
Authors

Sukhyun Ryu, Sojung Kim, Bryan I. Kim, Eili Y. Klein, Young Kyung Yoon, Byung Chul Chun

Abstract

Inappropriate use of antibiotics increases resistance and reduces their effectiveness. Despite evidence-based guidelines, antibiotics are still commonly used to treat infections likely caused by respiratory viruses. In this study, we examined the temporal relationships between antibiotic usage and respiratory infections in the Republic of Korea. The number of monthly antibiotic prescriptions and the incidence of acute respiratory tract infections between 2010 and 2015 at all primary care clinics were obtained from the Korean Health Insurance Review and Assessment Service. The monthly detection rates of respiratory viruses, including adenovirus, respiratory syncytial virus, influenza virus, human coronavirus, and human rhinovirus, were collected from Korea Centers for Disease Control and Prevention. Cross-correlation analysis was conducted to quantify the temporal relationship between antibiotic use and respiratory virus activities as well as respiratory infections in primary clinics. The monthly use of different classes of antibiotic, including penicillins, other beta-lactam antibacterials, macrolides and quinolones, was significantly correlated with influenza virus activity. These correlations peaked at the 0-month lag with cross-correlation coefficients of 0.45 (p < 0.01), 0.46 (p < 0.01), 0.40 (p < 0.01), and 0.35 (< 0.01), respectively. Furthermore, a significant correlation was found between acute bronchitis and antibiotics, including penicillin (0.73, p < 0.01), macrolides (0.74, p < 0.01), and quinolones (0.45, p < 0.01), at the 0-month lag. Our findings suggest that there is a significant temporal relationship between influenza virus activity and antibiotic use in primary clinics. This relationship indicates that interventions aimed at reducing influenza cases in addition to effort to discourage the prescription of antibiotics by physicians may help to decrease unnecessary antibiotic consumption.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Researcher 9 13%
Other 8 12%
Student > Ph. D. Student 6 9%
Student > Bachelor 5 7%
Other 8 12%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 10 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Nursing and Health Professions 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Agricultural and Biological Sciences 3 4%
Other 16 23%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 April 2020.
All research outputs
#2,988,765
of 25,082,430 outputs
Outputs from Antimicrobial Resistance & Infection Control
#386
of 1,433 outputs
Outputs of similar age
#58,445
of 332,262 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#14
of 33 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 73% 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 332,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 33 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 60% of its contemporaries.