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Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti

The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult t...

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Autores principales: Curtis, Andrew, Blackburn, Jason K., Smiley, Sarah L., Yen, Minmin, Camilli, Andrew, Alam, Meer Taifur, Ali, Afsar, Morris, J. Glenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772207/
https://www.ncbi.nlm.nih.gov/pubmed/26848672
http://dx.doi.org/10.3390/ijerph13020187
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author Curtis, Andrew
Blackburn, Jason K.
Smiley, Sarah L.
Yen, Minmin
Camilli, Andrew
Alam, Meer Taifur
Ali, Afsar
Morris, J. Glenn
author_facet Curtis, Andrew
Blackburn, Jason K.
Smiley, Sarah L.
Yen, Minmin
Camilli, Andrew
Alam, Meer Taifur
Ali, Afsar
Morris, J. Glenn
author_sort Curtis, Andrew
collection PubMed
description The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also supporting field epidemiology. An example of epidemic cholera in a coastal town of Haiti is used to illustrate the potential of this new method. Water risks from a 2012 spatial video collection are used to guide a 2014 survey, which concurrently included the collection of water samples, two of which resulted in positive lab results “of interest” (bacteriophage specific for clinical cholera strains) to the current cholera situation. By overlaying sample sites on 2012 water risk maps, a further fifteen proposed water sample locations are suggested. These resulted in a third spatial video survey and an additional “of interest” positive water sample. A potential spatial connection between the “of interest” water samples is suggested. The paper concludes with how spatial video can be an integral part of future fine-scale epidemiological investigations for different pathogens.
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spelling pubmed-47722072016-03-08 Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti Curtis, Andrew Blackburn, Jason K. Smiley, Sarah L. Yen, Minmin Camilli, Andrew Alam, Meer Taifur Ali, Afsar Morris, J. Glenn Int J Environ Res Public Health Article The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also supporting field epidemiology. An example of epidemic cholera in a coastal town of Haiti is used to illustrate the potential of this new method. Water risks from a 2012 spatial video collection are used to guide a 2014 survey, which concurrently included the collection of water samples, two of which resulted in positive lab results “of interest” (bacteriophage specific for clinical cholera strains) to the current cholera situation. By overlaying sample sites on 2012 water risk maps, a further fifteen proposed water sample locations are suggested. These resulted in a third spatial video survey and an additional “of interest” positive water sample. A potential spatial connection between the “of interest” water samples is suggested. The paper concludes with how spatial video can be an integral part of future fine-scale epidemiological investigations for different pathogens. MDPI 2016-02-03 2016-02 /pmc/articles/PMC4772207/ /pubmed/26848672 http://dx.doi.org/10.3390/ijerph13020187 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Curtis, Andrew
Blackburn, Jason K.
Smiley, Sarah L.
Yen, Minmin
Camilli, Andrew
Alam, Meer Taifur
Ali, Afsar
Morris, J. Glenn
Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title_full Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title_fullStr Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title_full_unstemmed Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title_short Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti
title_sort mapping to support fine scale epidemiological cholera investigations: a case study of spatial video in haiti
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772207/
https://www.ncbi.nlm.nih.gov/pubmed/26848672
http://dx.doi.org/10.3390/ijerph13020187
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