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Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool

BACKGROUND: Over the past century, the size and complexity of the air travel network has increased dramatically. Nowadays, there are 29.6 million scheduled flights per year and around 2.7 billion passengers are transported annually. The rapid expansion of the network increasingly connects regions of...

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Autores principales: Huang, Zhuojie, Das, Anirrudha, Qiu, Youliang, Tatem, Andrew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503742/
https://www.ncbi.nlm.nih.gov/pubmed/22892045
http://dx.doi.org/10.1186/1476-072X-11-33
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author Huang, Zhuojie
Das, Anirrudha
Qiu, Youliang
Tatem, Andrew J
author_facet Huang, Zhuojie
Das, Anirrudha
Qiu, Youliang
Tatem, Andrew J
author_sort Huang, Zhuojie
collection PubMed
description BACKGROUND: Over the past century, the size and complexity of the air travel network has increased dramatically. Nowadays, there are 29.6 million scheduled flights per year and around 2.7 billion passengers are transported annually. The rapid expansion of the network increasingly connects regions of endemic vector-borne disease with the rest of the world, resulting in challenges to health systems worldwide in terms of vector-borne pathogen importation and disease vector invasion events. Here we describe the development of a user-friendly Web-based GIS tool: the Vector-Borne Disease Airline Importation Risk Tool (VBD-AIR), to help better define the roles of airports and airlines in the transmission and spread of vector-borne diseases. METHODS: Spatial datasets on modeled global disease and vector distributions, as well as climatic and air network traffic data were assembled. These were combined to derive relative risk metrics via air travel for imported infections, imported vectors and onward transmission, and incorporated into a three-tier server architecture in a Model-View-Controller framework with distributed GIS components. A user-friendly web-portal was built that enables dynamic querying of the spatial databases to provide relevant information. RESULTS: The VBD-AIR tool constructed enables the user to explore the interrelationships among modeled global distributions of vector-borne infectious diseases (malaria. dengue, yellow fever and chikungunya) and international air service routes to quantify seasonally changing risks of vector and vector-borne disease importation and spread by air travel, forming an evidence base to help plan mitigation strategies. The VBD-AIR tool is available at http://www.vbd-air.com. CONCLUSIONS: VBD-AIR supports a data flow that generates analytical results from disparate but complementary datasets into an organized cartographical presentation on a web map for the assessment of vector-borne disease movements on the air travel network. The framework built provides a flexible and robust informatics infrastructure by separating the modules of functionality through an ontological model for vector-borne disease. The VBD‒AIR tool is designed as an evidence base for visualizing the risks of vector-borne disease by air travel for a wide range of users, including planners and decisions makers based in state and local government, and in particular, those at international and domestic airports tasked with planning for health risks and allocating limited resources.
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spelling pubmed-35037422012-11-27 Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool Huang, Zhuojie Das, Anirrudha Qiu, Youliang Tatem, Andrew J Int J Health Geogr Methodology BACKGROUND: Over the past century, the size and complexity of the air travel network has increased dramatically. Nowadays, there are 29.6 million scheduled flights per year and around 2.7 billion passengers are transported annually. The rapid expansion of the network increasingly connects regions of endemic vector-borne disease with the rest of the world, resulting in challenges to health systems worldwide in terms of vector-borne pathogen importation and disease vector invasion events. Here we describe the development of a user-friendly Web-based GIS tool: the Vector-Borne Disease Airline Importation Risk Tool (VBD-AIR), to help better define the roles of airports and airlines in the transmission and spread of vector-borne diseases. METHODS: Spatial datasets on modeled global disease and vector distributions, as well as climatic and air network traffic data were assembled. These were combined to derive relative risk metrics via air travel for imported infections, imported vectors and onward transmission, and incorporated into a three-tier server architecture in a Model-View-Controller framework with distributed GIS components. A user-friendly web-portal was built that enables dynamic querying of the spatial databases to provide relevant information. RESULTS: The VBD-AIR tool constructed enables the user to explore the interrelationships among modeled global distributions of vector-borne infectious diseases (malaria. dengue, yellow fever and chikungunya) and international air service routes to quantify seasonally changing risks of vector and vector-borne disease importation and spread by air travel, forming an evidence base to help plan mitigation strategies. The VBD-AIR tool is available at http://www.vbd-air.com. CONCLUSIONS: VBD-AIR supports a data flow that generates analytical results from disparate but complementary datasets into an organized cartographical presentation on a web map for the assessment of vector-borne disease movements on the air travel network. The framework built provides a flexible and robust informatics infrastructure by separating the modules of functionality through an ontological model for vector-borne disease. The VBD‒AIR tool is designed as an evidence base for visualizing the risks of vector-borne disease by air travel for a wide range of users, including planners and decisions makers based in state and local government, and in particular, those at international and domestic airports tasked with planning for health risks and allocating limited resources. BioMed Central 2012-08-14 /pmc/articles/PMC3503742/ /pubmed/22892045 http://dx.doi.org/10.1186/1476-072X-11-33 Text en Copyright ©2012 Huang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Huang, Zhuojie
Das, Anirrudha
Qiu, Youliang
Tatem, Andrew J
Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title_full Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title_fullStr Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title_full_unstemmed Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title_short Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool
title_sort web-based gis: the vector-borne disease airline importation risk (vbd-air) tool
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503742/
https://www.ncbi.nlm.nih.gov/pubmed/22892045
http://dx.doi.org/10.1186/1476-072X-11-33
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