Satellite imagery system in malaria transmission resulting from the land use/land cover change

BACKGROUND AND OBJECTIVES: This study analyzed the changes in land use and land cover trends and their implication on malaria transmission using satellite imagery applications. Deforestation or human land use activity related to water and development has expanded the ideal habitats for malaria-carry...

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Main Authors: C. Payus, J. Sentian
Format: Article
Language:English
Published: GJESM Publisher 2022-10-01
Series:Global Journal of Environmental Science and Management
Subjects:
Online Access:https://www.gjesm.net/article_250969_8e1e5dd50ba10d06a3a5cf6bd79d2b84.pdf
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author C. Payus
J. Sentian
author_facet C. Payus
J. Sentian
author_sort C. Payus
collection DOAJ
description BACKGROUND AND OBJECTIVES: This study analyzed the changes in land use and land cover trends and their implication on malaria transmission using satellite imagery applications. Deforestation or human land use activity related to water and development has expanded the ideal habitats for malaria-carrying mosquitoes, resulting in an upsurge of malaria transmission.The presence of these habitats and breeding increased the contact between humans and mosquitoes, thus increasing the number of malaria cases. The decrease of canopy and forest cover has increased the temperature, resulting in the shortening of aquatic stages and sporogony development of the mosquitoes. This study aims to provide an understanding of the relationship between the topography effect over the land-use factor and land cover change on malaria for more than ten years from 2005 to 2019 of transmission.METHODS: Malaria case data obtained were analyzed for the trends, incidence rate, and spatial distribution. Remote Sensing and geographic information system were used to determine the land use and land cover change in selected districts of North Borneo in Sabah, as the study areas.FINDING: The malaria incidence rate shows an increase from 2005 to 2019, with 149.64%. The transmission of the malaria vector dynamics and abundance with topography changes has changed with time, including with forest declination at 8.38%, and cropland change decreased at 16.61%. However, an expansion of 33.6% was observed for oil palm plantations. Overall, the results have shown that the range of incidence rate was found` highly viable from 0.29/1000 persons to 4.09/1000 people.CONCLUSION: In conclusion, using geographic information system remote sensing with malaria integrated topography transmission information will be targeted by zoning most affected areas or the most productive larval habitat for remedial measures. This study can help to reduce the malaria vector population through environmental management related to the mosquito larval cycle in different land-use settings and change by minimizing the transmission by the targeted malaria control program.
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spelling doaj.art-3b8e1aadecdc41ffa2481a70764f29ff2025-02-02T12:13:02ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662022-10-018454556010.22034/GJESM.2022.04.07250969Satellite imagery system in malaria transmission resulting from the land use/land cover changeC. Payus0J. Sentian1Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, MalaysiaFaculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, MalaysiaBACKGROUND AND OBJECTIVES: This study analyzed the changes in land use and land cover trends and their implication on malaria transmission using satellite imagery applications. Deforestation or human land use activity related to water and development has expanded the ideal habitats for malaria-carrying mosquitoes, resulting in an upsurge of malaria transmission.The presence of these habitats and breeding increased the contact between humans and mosquitoes, thus increasing the number of malaria cases. The decrease of canopy and forest cover has increased the temperature, resulting in the shortening of aquatic stages and sporogony development of the mosquitoes. This study aims to provide an understanding of the relationship between the topography effect over the land-use factor and land cover change on malaria for more than ten years from 2005 to 2019 of transmission.METHODS: Malaria case data obtained were analyzed for the trends, incidence rate, and spatial distribution. Remote Sensing and geographic information system were used to determine the land use and land cover change in selected districts of North Borneo in Sabah, as the study areas.FINDING: The malaria incidence rate shows an increase from 2005 to 2019, with 149.64%. The transmission of the malaria vector dynamics and abundance with topography changes has changed with time, including with forest declination at 8.38%, and cropland change decreased at 16.61%. However, an expansion of 33.6% was observed for oil palm plantations. Overall, the results have shown that the range of incidence rate was found` highly viable from 0.29/1000 persons to 4.09/1000 people.CONCLUSION: In conclusion, using geographic information system remote sensing with malaria integrated topography transmission information will be targeted by zoning most affected areas or the most productive larval habitat for remedial measures. This study can help to reduce the malaria vector population through environmental management related to the mosquito larval cycle in different land-use settings and change by minimizing the transmission by the targeted malaria control program.https://www.gjesm.net/article_250969_8e1e5dd50ba10d06a3a5cf6bd79d2b84.pdfclimate changegeographic information system (gis)land use and land cover changemalariaremote sensingtopographytransmission risk
spellingShingle C. Payus
J. Sentian
Satellite imagery system in malaria transmission resulting from the land use/land cover change
Global Journal of Environmental Science and Management
climate change
geographic information system (gis)
land use and land cover change
malaria
remote sensing
topography
transmission risk
title Satellite imagery system in malaria transmission resulting from the land use/land cover change
title_full Satellite imagery system in malaria transmission resulting from the land use/land cover change
title_fullStr Satellite imagery system in malaria transmission resulting from the land use/land cover change
title_full_unstemmed Satellite imagery system in malaria transmission resulting from the land use/land cover change
title_short Satellite imagery system in malaria transmission resulting from the land use/land cover change
title_sort satellite imagery system in malaria transmission resulting from the land use land cover change
topic climate change
geographic information system (gis)
land use and land cover change
malaria
remote sensing
topography
transmission risk
url https://www.gjesm.net/article_250969_8e1e5dd50ba10d06a3a5cf6bd79d2b84.pdf
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