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Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services

BACKGROUND: Tropical medicine appeared as a distinct sub-discipline in the late nineteenth century, during a period of rapid European colonial expansion in Africa and Asia. After a dramatic drop after World War II, research on tropical diseases have received more attention and research funding in th...

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Detalles Bibliográficos
Autores principales: Palmblad, Magnus, Torvik, Vetle I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658975/
https://www.ncbi.nlm.nih.gov/pubmed/29093641
http://dx.doi.org/10.1186/s41182-017-0073-6
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author Palmblad, Magnus
Torvik, Vetle I.
author_facet Palmblad, Magnus
Torvik, Vetle I.
author_sort Palmblad, Magnus
collection PubMed
description BACKGROUND: Tropical medicine appeared as a distinct sub-discipline in the late nineteenth century, during a period of rapid European colonial expansion in Africa and Asia. After a dramatic drop after World War II, research on tropical diseases have received more attention and research funding in the twenty-first century. METHODS: We used Apache Taverna to integrate Europe PMC and MapAffil web services, containing the spatiotemporal analysis workflow from a list of PubMed queries to a list of publication years and author affiliations geoparsed to latitudes and longitudes. The results could then be visualized in the Quantum Geographic Information System (QGIS). RESULTS: Our workflows automatically matched 253,277 affiliations to geographical coordinates for the first authors of 379,728 papers on tropical diseases in a single execution. The bibliometric analyses show how research output in tropical diseases follow major historical shifts in the twentieth century and renewed interest in and funding for tropical disease research in the twenty-first century. They show the effects of disease outbreaks, WHO eradication programs, vaccine developments, wars, refugee migrations, and peace treaties. CONCLUSIONS: Literature search and geoparsing web services can be combined in scientific workflows performing a complete spatiotemporal bibliometric analyses of research in tropical medicine. The workflows and datasets are freely available and can be used to reproduce or refine the analyses and test specific hypotheses or look into particular diseases or geographic regions. This work exceeds all previously published bibliometric analyses on tropical diseases in both scale and spatiotemporal range.
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spelling pubmed-56589752017-11-01 Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services Palmblad, Magnus Torvik, Vetle I. Trop Med Health Research BACKGROUND: Tropical medicine appeared as a distinct sub-discipline in the late nineteenth century, during a period of rapid European colonial expansion in Africa and Asia. After a dramatic drop after World War II, research on tropical diseases have received more attention and research funding in the twenty-first century. METHODS: We used Apache Taverna to integrate Europe PMC and MapAffil web services, containing the spatiotemporal analysis workflow from a list of PubMed queries to a list of publication years and author affiliations geoparsed to latitudes and longitudes. The results could then be visualized in the Quantum Geographic Information System (QGIS). RESULTS: Our workflows automatically matched 253,277 affiliations to geographical coordinates for the first authors of 379,728 papers on tropical diseases in a single execution. The bibliometric analyses show how research output in tropical diseases follow major historical shifts in the twentieth century and renewed interest in and funding for tropical disease research in the twenty-first century. They show the effects of disease outbreaks, WHO eradication programs, vaccine developments, wars, refugee migrations, and peace treaties. CONCLUSIONS: Literature search and geoparsing web services can be combined in scientific workflows performing a complete spatiotemporal bibliometric analyses of research in tropical medicine. The workflows and datasets are freely available and can be used to reproduce or refine the analyses and test specific hypotheses or look into particular diseases or geographic regions. This work exceeds all previously published bibliometric analyses on tropical diseases in both scale and spatiotemporal range. BioMed Central 2017-10-26 /pmc/articles/PMC5658975/ /pubmed/29093641 http://dx.doi.org/10.1186/s41182-017-0073-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Palmblad, Magnus
Torvik, Vetle I.
Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title_full Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title_fullStr Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title_full_unstemmed Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title_short Spatiotemporal analysis of tropical disease research combining Europe PMC and affiliation mapping web services
title_sort spatiotemporal analysis of tropical disease research combining europe pmc and affiliation mapping web services
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658975/
https://www.ncbi.nlm.nih.gov/pubmed/29093641
http://dx.doi.org/10.1186/s41182-017-0073-6
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