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The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity
The infectious disease dengue hemorrhagic fever remains an unresolved global problem, with climatic conditions and the location of areas located at the equator more often infected with dengue fever. Various modeling approaches have been employed for the development of a dengue risk map. The geograph...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335475/ https://www.ncbi.nlm.nih.gov/pubmed/35911430 http://dx.doi.org/10.1177/22799036221104170 |
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author | Sekarrini, Cipta Estri Sumarmi, Bachri, Syamsul Taryana, Didik Giofandi, Eggy Arya |
author_facet | Sekarrini, Cipta Estri Sumarmi, Bachri, Syamsul Taryana, Didik Giofandi, Eggy Arya |
author_sort | Sekarrini, Cipta Estri |
collection | PubMed |
description | The infectious disease dengue hemorrhagic fever remains an unresolved global problem, with climatic conditions and the location of areas located at the equator more often infected with dengue fever. Various modeling approaches have been employed for the development of a dengue risk map. The geographic information system approach was used as an instrument in applying mathematical algorithms to process field vector data into a preventive objective which is studied, then the application of remote sensing provides spatial-temporal data related to land use/land cover data sources as other variable categories. Map of hotspots for dengue fever cases is used to identify the risk of dengue fever areas by applying various complex methodologies, analysis, and visualization of advanced data are needed for its application in public health. In the last 10 years, the increase in the publication of dengue hemorrhagic fever in Southeast Asia in reputable international journals has increased significantly. |
format | Online Article Text |
id | pubmed-9335475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93354752022-07-30 The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity Sekarrini, Cipta Estri Sumarmi, Bachri, Syamsul Taryana, Didik Giofandi, Eggy Arya J Public Health Res Reviews The infectious disease dengue hemorrhagic fever remains an unresolved global problem, with climatic conditions and the location of areas located at the equator more often infected with dengue fever. Various modeling approaches have been employed for the development of a dengue risk map. The geographic information system approach was used as an instrument in applying mathematical algorithms to process field vector data into a preventive objective which is studied, then the application of remote sensing provides spatial-temporal data related to land use/land cover data sources as other variable categories. Map of hotspots for dengue fever cases is used to identify the risk of dengue fever areas by applying various complex methodologies, analysis, and visualization of advanced data are needed for its application in public health. In the last 10 years, the increase in the publication of dengue hemorrhagic fever in Southeast Asia in reputable international journals has increased significantly. SAGE Publications 2022-07-18 /pmc/articles/PMC9335475/ /pubmed/35911430 http://dx.doi.org/10.1177/22799036221104170 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Reviews Sekarrini, Cipta Estri Sumarmi, Bachri, Syamsul Taryana, Didik Giofandi, Eggy Arya The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title | The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title_full | The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title_fullStr | The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title_full_unstemmed | The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title_short | The application of geographic information system for dengue epidemic in Southeast Asia: A review on trends and opportunity |
title_sort | application of geographic information system for dengue epidemic in southeast asia: a review on trends and opportunity |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335475/ https://www.ncbi.nlm.nih.gov/pubmed/35911430 http://dx.doi.org/10.1177/22799036221104170 |
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