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Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine
Background: The World Health Organization recognizes the antibiotic resistance problem as a major health threat in the twenty first century. The paper describes an effort to fight it undertaken at the verge of two industries—healthcare and Data Science. One of the major difficulties in monitoring an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781829/ https://www.ncbi.nlm.nih.gov/pubmed/27014217 http://dx.doi.org/10.3389/fmicb.2016.00294 |
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author | Bedenkov, Alexander Shpinev, Vitaly Suvorov, Nikolay Sokolov, Evgeny Riabenko, Evgeniy |
author_facet | Bedenkov, Alexander Shpinev, Vitaly Suvorov, Nikolay Sokolov, Evgeny Riabenko, Evgeniy |
author_sort | Bedenkov, Alexander |
collection | PubMed |
description | Background: The World Health Organization recognizes the antibiotic resistance problem as a major health threat in the twenty first century. The paper describes an effort to fight it undertaken at the verge of two industries—healthcare and Data Science. One of the major difficulties in monitoring antibiotic resistance is low availability of comprehensive research data. Our aim is to develop a nation-wide antibiotic resistance database using Internet search and data processing algorithms using Russian language publications. Materials and Methods: An interdisciplinary team built an intelligent Internet search filter to locate all publicly available research data on antibiotic resistance in Russia and Eurasia countries, extracted it, and collated it for analysis. A database was constructed using data from 850 original studies conducted at 153 locations in 12 countries between 1992 and 2014. The studies contained susceptibility and resistance rates of 156 microorganisms to 157 antibiotic drugs. Results: The applied search methodology was highly robust in that it yielded search precision of 58 vs. 20% in a typical Internet search. It allowed finding and collating within the database the following data items (among many others): publication details including title, source, date, authors, etc.; study details: time period, locations, research organization, therapy area, etc.; microorganisms and antibiotic drugs included in the study along with prevalence values of resistant and susceptible strains, and numbers of isolates. The next stage in project development will try to validate the data by matching it to major benchmark studies; in addition, a panel of experts will be convened to evaluate the outcomes. Conclusions: The work provides a supplementary tool to national surveillance systems in antibiotic resistance, and consolidates fragmented research data available for 12 countries for a period of more than 20 years. |
format | Online Article Text |
id | pubmed-4781829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47818292016-03-24 Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine Bedenkov, Alexander Shpinev, Vitaly Suvorov, Nikolay Sokolov, Evgeny Riabenko, Evgeniy Front Microbiol Public Health Background: The World Health Organization recognizes the antibiotic resistance problem as a major health threat in the twenty first century. The paper describes an effort to fight it undertaken at the verge of two industries—healthcare and Data Science. One of the major difficulties in monitoring antibiotic resistance is low availability of comprehensive research data. Our aim is to develop a nation-wide antibiotic resistance database using Internet search and data processing algorithms using Russian language publications. Materials and Methods: An interdisciplinary team built an intelligent Internet search filter to locate all publicly available research data on antibiotic resistance in Russia and Eurasia countries, extracted it, and collated it for analysis. A database was constructed using data from 850 original studies conducted at 153 locations in 12 countries between 1992 and 2014. The studies contained susceptibility and resistance rates of 156 microorganisms to 157 antibiotic drugs. Results: The applied search methodology was highly robust in that it yielded search precision of 58 vs. 20% in a typical Internet search. It allowed finding and collating within the database the following data items (among many others): publication details including title, source, date, authors, etc.; study details: time period, locations, research organization, therapy area, etc.; microorganisms and antibiotic drugs included in the study along with prevalence values of resistant and susceptible strains, and numbers of isolates. The next stage in project development will try to validate the data by matching it to major benchmark studies; in addition, a panel of experts will be convened to evaluate the outcomes. Conclusions: The work provides a supplementary tool to national surveillance systems in antibiotic resistance, and consolidates fragmented research data available for 12 countries for a period of more than 20 years. Frontiers Media S.A. 2016-03-08 /pmc/articles/PMC4781829/ /pubmed/27014217 http://dx.doi.org/10.3389/fmicb.2016.00294 Text en Copyright © 2016 Bedenkov, Shpinev, Suvorov, Sokolov and Riabenko. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Bedenkov, Alexander Shpinev, Vitaly Suvorov, Nikolay Sokolov, Evgeny Riabenko, Evgeniy Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title | Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title_full | Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title_fullStr | Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title_full_unstemmed | Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title_short | Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992–2014 Using Search Engine |
title_sort | consolidating russia and eurasia antibiotic resistance data for 1992–2014 using search engine |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781829/ https://www.ncbi.nlm.nih.gov/pubmed/27014217 http://dx.doi.org/10.3389/fmicb.2016.00294 |
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