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Literature-related discovery: Potential treatments and preventatives for SARS()
Literature-related discovery (LRD) is the linking of two or more previously disjoint concepts in order to produce novel, interesting, plausible, and intelligible connections (i.e., potential discovery). LRD has been used to identify potential treatments or preventative actions for challenging medica...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc. Published by Elsevier Inc.
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118796/ https://www.ncbi.nlm.nih.gov/pubmed/32287410 http://dx.doi.org/10.1016/j.techfore.2011.03.022 |
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author | Kostoff, Ronald N. |
author_facet | Kostoff, Ronald N. |
author_sort | Kostoff, Ronald N. |
collection | PubMed |
description | Literature-related discovery (LRD) is the linking of two or more previously disjoint concepts in order to produce novel, interesting, plausible, and intelligible connections (i.e., potential discovery). LRD has been used to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications. Severe acute respiratory syndrome (SARS) was the first pandemic of the 21st century. SARS was eventually controlled through increased hygienic measures (e.g., face mask protection, frequent hand washing, living quarter disinfection), travel restrictions, and quarantine. According to recent reviews of SARS, none of the drugs that were used during the pandemic worked. For the present paper, SARS was selected as the first application of LRD to an infectious disease. The main goal of this research was to identify non-drug non-surgical treatments that would 1) prevent the occurrence, or 2) reduce the progression rate, or 3) stop/reverse the progression of SARS. The MeSH taxonomy of Medline was used to restrict potential discoveries to selected semantic classes, and to identify potential discoveries efficiently. To enhance the volume of potential discovery, databases were used in addition to Medline. These included the Science Citation Index (SCI) and, in contrast to previous work, a full text database. Because of the richness of the full text, ‘surgical’ queries were developed that targeted the exact types of potential discovery of interest while eliminating clutter more efficiently. |
format | Online Article Text |
id | pubmed-7118796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Elsevier Inc. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71187962020-04-03 Literature-related discovery: Potential treatments and preventatives for SARS() Kostoff, Ronald N. Technol Forecast Soc Change Article Literature-related discovery (LRD) is the linking of two or more previously disjoint concepts in order to produce novel, interesting, plausible, and intelligible connections (i.e., potential discovery). LRD has been used to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications. Severe acute respiratory syndrome (SARS) was the first pandemic of the 21st century. SARS was eventually controlled through increased hygienic measures (e.g., face mask protection, frequent hand washing, living quarter disinfection), travel restrictions, and quarantine. According to recent reviews of SARS, none of the drugs that were used during the pandemic worked. For the present paper, SARS was selected as the first application of LRD to an infectious disease. The main goal of this research was to identify non-drug non-surgical treatments that would 1) prevent the occurrence, or 2) reduce the progression rate, or 3) stop/reverse the progression of SARS. The MeSH taxonomy of Medline was used to restrict potential discoveries to selected semantic classes, and to identify potential discoveries efficiently. To enhance the volume of potential discovery, databases were used in addition to Medline. These included the Science Citation Index (SCI) and, in contrast to previous work, a full text database. Because of the richness of the full text, ‘surgical’ queries were developed that targeted the exact types of potential discovery of interest while eliminating clutter more efficiently. Elsevier Inc. Published by Elsevier Inc. 2011-09 2011-04-20 /pmc/articles/PMC7118796/ /pubmed/32287410 http://dx.doi.org/10.1016/j.techfore.2011.03.022 Text en Copyright © 2011 Elsevier Inc. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kostoff, Ronald N. Literature-related discovery: Potential treatments and preventatives for SARS() |
title | Literature-related discovery: Potential treatments and preventatives for SARS() |
title_full | Literature-related discovery: Potential treatments and preventatives for SARS() |
title_fullStr | Literature-related discovery: Potential treatments and preventatives for SARS() |
title_full_unstemmed | Literature-related discovery: Potential treatments and preventatives for SARS() |
title_short | Literature-related discovery: Potential treatments and preventatives for SARS() |
title_sort | literature-related discovery: potential treatments and preventatives for sars() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118796/ https://www.ncbi.nlm.nih.gov/pubmed/32287410 http://dx.doi.org/10.1016/j.techfore.2011.03.022 |
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