2021
DOI: 10.1101/2021.04.27.21256212
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Mapping the plague through natural language processing

Abstract: Plague has caused three major pandemics with millions of casualties in the past centuries. There is a substantial amount of historical and modern primary and secondary literature about the spatial and temporal extent of epidemics, circumstances of transmission or symptoms and treatments. Many quantitative analyses rely on structured data, but the extraction of specific information such as the time and place of outbreaks is a tedious process. Machine learning algorithms for natural language processing (NLP) can… Show more

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Cited by 3 publications
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“…The number of currently available genomes of the Second Pandemic surpasses a hundred (Table S3, S4, 31 ), but only a minority of them can be attributed to a specific epidemic event. In parallel, more existing datasets of documentarily reported plague outbreaks have been digitized [32][33][34] and historical reconstructions of plague outbreaks and waves, connecting them to hypothetical reservoirs in different regions of Eurasia, have been published by historians 3,[35][36][37][38][39][40][41] . However, despite these advances across fields of research, any attempts to associate ancient plague genomes or clades with documentary data remains significantly impaired by uncertainties pertaining to both palaeogenetics and history.…”
Section: Matching Phylochronological and Historical Datamentioning
confidence: 99%
“…The number of currently available genomes of the Second Pandemic surpasses a hundred (Table S3, S4, 31 ), but only a minority of them can be attributed to a specific epidemic event. In parallel, more existing datasets of documentarily reported plague outbreaks have been digitized [32][33][34] and historical reconstructions of plague outbreaks and waves, connecting them to hypothetical reservoirs in different regions of Eurasia, have been published by historians 3,[35][36][37][38][39][40][41] . However, despite these advances across fields of research, any attempts to associate ancient plague genomes or clades with documentary data remains significantly impaired by uncertainties pertaining to both palaeogenetics and history.…”
Section: Matching Phylochronological and Historical Datamentioning
confidence: 99%