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Differential word expression analyses highlight plague dynamics during the second pandemic
Research on the second plague pandemic that swept over Europe from the fourteenth to nineteenth centuries mainly relies on the exegesis of contemporary texts and is prone to interpretive bias. By leveraging certain bioinformatic tools routinely used in biology, we developed a quantitative lexicograp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728171/ https://www.ncbi.nlm.nih.gov/pubmed/35070338 http://dx.doi.org/10.1098/rsos.210039 |
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author | Barbieri, Rémi Nodari, Riccardo Signoli, Michel Epis, Sara Raoult, Didier Drancourt, Michel |
author_facet | Barbieri, Rémi Nodari, Riccardo Signoli, Michel Epis, Sara Raoult, Didier Drancourt, Michel |
author_sort | Barbieri, Rémi |
collection | PubMed |
description | Research on the second plague pandemic that swept over Europe from the fourteenth to nineteenth centuries mainly relies on the exegesis of contemporary texts and is prone to interpretive bias. By leveraging certain bioinformatic tools routinely used in biology, we developed a quantitative lexicography of 32 texts describing two major plague outbreaks, using contemporary plague-unrelated texts as negative controls. Nested, network and category analyses of a 207-word pan-lexicome, comprising overrepresented terms in plague-related texts, indicated that ‘buboes' and ‘carbuncles' are words that were significantly associated with the plague and signalled an ectoparasite-borne plague. Moreover, plague-related words were associated with the terms ‘merchandise’, ‘movable’, ‘tatters', ‘bed’ and ‘clothes'. Analysing ancient texts using the method reported in this paper can certify plague-related historical records and indicate the particularities of each plague outbreak, which can inform on the potential sources for the causative Yersinia pestis. |
format | Online Article Text |
id | pubmed-8728171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-87281712022-01-21 Differential word expression analyses highlight plague dynamics during the second pandemic Barbieri, Rémi Nodari, Riccardo Signoli, Michel Epis, Sara Raoult, Didier Drancourt, Michel R Soc Open Sci Computer Science and Artificial Intelligence Research on the second plague pandemic that swept over Europe from the fourteenth to nineteenth centuries mainly relies on the exegesis of contemporary texts and is prone to interpretive bias. By leveraging certain bioinformatic tools routinely used in biology, we developed a quantitative lexicography of 32 texts describing two major plague outbreaks, using contemporary plague-unrelated texts as negative controls. Nested, network and category analyses of a 207-word pan-lexicome, comprising overrepresented terms in plague-related texts, indicated that ‘buboes' and ‘carbuncles' are words that were significantly associated with the plague and signalled an ectoparasite-borne plague. Moreover, plague-related words were associated with the terms ‘merchandise’, ‘movable’, ‘tatters', ‘bed’ and ‘clothes'. Analysing ancient texts using the method reported in this paper can certify plague-related historical records and indicate the particularities of each plague outbreak, which can inform on the potential sources for the causative Yersinia pestis. The Royal Society 2022-01-05 /pmc/articles/PMC8728171/ /pubmed/35070338 http://dx.doi.org/10.1098/rsos.210039 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Computer Science and Artificial Intelligence Barbieri, Rémi Nodari, Riccardo Signoli, Michel Epis, Sara Raoult, Didier Drancourt, Michel Differential word expression analyses highlight plague dynamics during the second pandemic |
title | Differential word expression analyses highlight plague dynamics during the second pandemic |
title_full | Differential word expression analyses highlight plague dynamics during the second pandemic |
title_fullStr | Differential word expression analyses highlight plague dynamics during the second pandemic |
title_full_unstemmed | Differential word expression analyses highlight plague dynamics during the second pandemic |
title_short | Differential word expression analyses highlight plague dynamics during the second pandemic |
title_sort | differential word expression analyses highlight plague dynamics during the second pandemic |
topic | Computer Science and Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728171/ https://www.ncbi.nlm.nih.gov/pubmed/35070338 http://dx.doi.org/10.1098/rsos.210039 |
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