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Assessing the methods needed for improved dengue mapping: a SWOT analysis

INTRODUCTION: Dengue fever, a mosquito-borne viral infection, is a growing threat to human health in tropical and subtropical areas worldwide. There is a demand from public officials for maps that capture the current distribution of dengue and maps that analyze risk factors to predict the future bur...

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Autores principales: Attaway, David Frost, Jacobsen, Kathryn H, Falconer, Allan, Manca, Germana, Waters, Nigel M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198261/
https://www.ncbi.nlm.nih.gov/pubmed/25328585
http://dx.doi.org/10.11604/pamj.2014.17.289.3435
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author Attaway, David Frost
Jacobsen, Kathryn H
Falconer, Allan
Manca, Germana
Waters, Nigel M
author_facet Attaway, David Frost
Jacobsen, Kathryn H
Falconer, Allan
Manca, Germana
Waters, Nigel M
author_sort Attaway, David Frost
collection PubMed
description INTRODUCTION: Dengue fever, a mosquito-borne viral infection, is a growing threat to human health in tropical and subtropical areas worldwide. There is a demand from public officials for maps that capture the current distribution of dengue and maps that analyze risk factors to predict the future burden of disease. METHODS: To identify relevant articles, we searched Google Scholar, PubMed, BioMed Central, and WHOLIS (World Health Organization Library Database) for published articles with a specific set of dengue criteria between January 2002 and July 2013. RESULTS: After evaluating the currently available dengue models, we identified four key barriers to the creation of high-quality dengue maps: (1) data limitations related to the expense of diagnosing and reporting dengue cases in places where health information systems are underdeveloped; (2) issues related to the use of socioeconomic proxies in places with limited dengue incidence data; (3) mosquito ranges which may be changing as a result of climate changes; and (4) the challenges of mapping dengue events at a variety of scales. CONCLUSION: An ideal dengue map will present endemic and epidemic dengue information from both rural and urban areas. Overcoming the current barriers requires expanded collaboration and data sharing by geographers, epidemiologists, and entomologists. Enhanced mapping techniques would allow for improved visualizations of dengue rates and risks.
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spelling pubmed-41982612014-10-17 Assessing the methods needed for improved dengue mapping: a SWOT analysis Attaway, David Frost Jacobsen, Kathryn H Falconer, Allan Manca, Germana Waters, Nigel M Pan Afr Med J Research INTRODUCTION: Dengue fever, a mosquito-borne viral infection, is a growing threat to human health in tropical and subtropical areas worldwide. There is a demand from public officials for maps that capture the current distribution of dengue and maps that analyze risk factors to predict the future burden of disease. METHODS: To identify relevant articles, we searched Google Scholar, PubMed, BioMed Central, and WHOLIS (World Health Organization Library Database) for published articles with a specific set of dengue criteria between January 2002 and July 2013. RESULTS: After evaluating the currently available dengue models, we identified four key barriers to the creation of high-quality dengue maps: (1) data limitations related to the expense of diagnosing and reporting dengue cases in places where health information systems are underdeveloped; (2) issues related to the use of socioeconomic proxies in places with limited dengue incidence data; (3) mosquito ranges which may be changing as a result of climate changes; and (4) the challenges of mapping dengue events at a variety of scales. CONCLUSION: An ideal dengue map will present endemic and epidemic dengue information from both rural and urban areas. Overcoming the current barriers requires expanded collaboration and data sharing by geographers, epidemiologists, and entomologists. Enhanced mapping techniques would allow for improved visualizations of dengue rates and risks. The African Field Epidemiology Network 2014-04-16 /pmc/articles/PMC4198261/ /pubmed/25328585 http://dx.doi.org/10.11604/pamj.2014.17.289.3435 Text en © David Frost Attaway et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Attaway, David Frost
Jacobsen, Kathryn H
Falconer, Allan
Manca, Germana
Waters, Nigel M
Assessing the methods needed for improved dengue mapping: a SWOT analysis
title Assessing the methods needed for improved dengue mapping: a SWOT analysis
title_full Assessing the methods needed for improved dengue mapping: a SWOT analysis
title_fullStr Assessing the methods needed for improved dengue mapping: a SWOT analysis
title_full_unstemmed Assessing the methods needed for improved dengue mapping: a SWOT analysis
title_short Assessing the methods needed for improved dengue mapping: a SWOT analysis
title_sort assessing the methods needed for improved dengue mapping: a swot analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4198261/
https://www.ncbi.nlm.nih.gov/pubmed/25328585
http://dx.doi.org/10.11604/pamj.2014.17.289.3435
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