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Studying the global distribution of infectious diseases using GIS and RS

West Nile virus, severe acute respiratory syndrome and monkeypox are infectious diseases that have recently been introduced into areas far from their region of origin. The greatest risk of new diseases comes from zoonoses — pathogens that circulate among wild animals and are occasionally transferred...

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Detalles Bibliográficos
Autores principales: Rogers, David J., Randolph, Sarah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096846/
https://www.ncbi.nlm.nih.gov/pubmed/15035027
http://dx.doi.org/10.1038/nrmicro776
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author Rogers, David J.
Randolph, Sarah E.
author_facet Rogers, David J.
Randolph, Sarah E.
author_sort Rogers, David J.
collection PubMed
description West Nile virus, severe acute respiratory syndrome and monkeypox are infectious diseases that have recently been introduced into areas far from their region of origin. The greatest risk of new diseases comes from zoonoses — pathogens that circulate among wild animals and are occasionally transferred to humans by intermediate invertebrate hosts or vectors that are sensitive to climatic conditions. Analytical tools that are based on geographical information systems and that can incorporate remotely sensed information about the environment offer the potential to define the limiting conditions for any disease in its native region for which there are at least some distribution data. The direction, intensity or likelihood of its spread to new regions could then be predicted, potentially allowing disease early-warning systems to be developed.
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spelling pubmed-70968462020-03-26 Studying the global distribution of infectious diseases using GIS and RS Rogers, David J. Randolph, Sarah E. Nat Rev Microbiol Article West Nile virus, severe acute respiratory syndrome and monkeypox are infectious diseases that have recently been introduced into areas far from their region of origin. The greatest risk of new diseases comes from zoonoses — pathogens that circulate among wild animals and are occasionally transferred to humans by intermediate invertebrate hosts or vectors that are sensitive to climatic conditions. Analytical tools that are based on geographical information systems and that can incorporate remotely sensed information about the environment offer the potential to define the limiting conditions for any disease in its native region for which there are at least some distribution data. The direction, intensity or likelihood of its spread to new regions could then be predicted, potentially allowing disease early-warning systems to be developed. Nature Publishing Group UK 2003 /pmc/articles/PMC7096846/ /pubmed/15035027 http://dx.doi.org/10.1038/nrmicro776 Text en © Nature Publishing Group 2003 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Rogers, David J.
Randolph, Sarah E.
Studying the global distribution of infectious diseases using GIS and RS
title Studying the global distribution of infectious diseases using GIS and RS
title_full Studying the global distribution of infectious diseases using GIS and RS
title_fullStr Studying the global distribution of infectious diseases using GIS and RS
title_full_unstemmed Studying the global distribution of infectious diseases using GIS and RS
title_short Studying the global distribution of infectious diseases using GIS and RS
title_sort studying the global distribution of infectious diseases using gis and rs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096846/
https://www.ncbi.nlm.nih.gov/pubmed/15035027
http://dx.doi.org/10.1038/nrmicro776
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