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Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers

Chagas Disease (CD) is a neglected zoonotic disease of the Americas. It can be fatal if not diagnosed and treated in its early stages. Using geospatial and sensitivity analysis, this study focuses on understanding how to better allocate resources and educational information to areas in the United St...

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Autores principales: Pacheco, Gerardo J., Fulton, Lawrence, Betancourt, Jose, Shanmugam, Ram, Granados, Paula Stigler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252050/
https://www.ncbi.nlm.nih.gov/pubmed/35788197
http://dx.doi.org/10.1186/s12879-022-07577-y
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author Pacheco, Gerardo J.
Fulton, Lawrence
Betancourt, Jose
Shanmugam, Ram
Granados, Paula Stigler
author_facet Pacheco, Gerardo J.
Fulton, Lawrence
Betancourt, Jose
Shanmugam, Ram
Granados, Paula Stigler
author_sort Pacheco, Gerardo J.
collection PubMed
description Chagas Disease (CD) is a neglected zoonotic disease of the Americas. It can be fatal if not diagnosed and treated in its early stages. Using geospatial and sensitivity analysis, this study focuses on understanding how to better allocate resources and educational information to areas in the United States, specifically Texas, that have the potential for increased risk of CD cases and the associated costs of addressing the disease. ICD-9 and 10 inpatient hospital diagnostic codes were used to illustrate the salience of potentially missed CD diagnoses (e.g., cardiomyopathic diagnoses) and where these are occurring with more frequency. Coding software along with GIS and Microsoft Excel 3D mapping were used to generate maps to illustrate where there may be a need for increased statewide surveillance and screening of populations at greater risk for CD. The CD cases reported to the Texas Department of State Healthcare Services (TxDSHS) are not homogenously dispersed throughout the state but rather, reveal that the incidences are in clusters and primarily in urban areas, where there is increased access to physician care, CD research and diagnostic capabilities.
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spelling pubmed-92520502022-07-05 Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers Pacheco, Gerardo J. Fulton, Lawrence Betancourt, Jose Shanmugam, Ram Granados, Paula Stigler BMC Infect Dis Research Chagas Disease (CD) is a neglected zoonotic disease of the Americas. It can be fatal if not diagnosed and treated in its early stages. Using geospatial and sensitivity analysis, this study focuses on understanding how to better allocate resources and educational information to areas in the United States, specifically Texas, that have the potential for increased risk of CD cases and the associated costs of addressing the disease. ICD-9 and 10 inpatient hospital diagnostic codes were used to illustrate the salience of potentially missed CD diagnoses (e.g., cardiomyopathic diagnoses) and where these are occurring with more frequency. Coding software along with GIS and Microsoft Excel 3D mapping were used to generate maps to illustrate where there may be a need for increased statewide surveillance and screening of populations at greater risk for CD. The CD cases reported to the Texas Department of State Healthcare Services (TxDSHS) are not homogenously dispersed throughout the state but rather, reveal that the incidences are in clusters and primarily in urban areas, where there is increased access to physician care, CD research and diagnostic capabilities. BioMed Central 2022-07-04 /pmc/articles/PMC9252050/ /pubmed/35788197 http://dx.doi.org/10.1186/s12879-022-07577-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pacheco, Gerardo J.
Fulton, Lawrence
Betancourt, Jose
Shanmugam, Ram
Granados, Paula Stigler
Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title_full Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title_fullStr Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title_full_unstemmed Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title_short Geospatial analysis as a tool to identify target areas for Chagas disease education for healthcare providers
title_sort geospatial analysis as a tool to identify target areas for chagas disease education for healthcare providers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252050/
https://www.ncbi.nlm.nih.gov/pubmed/35788197
http://dx.doi.org/10.1186/s12879-022-07577-y
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