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Research
Dengue risk map using GIS based on socio-environmental and climatic variables in residential area
Ruhil Amal Adnan
Universiti Putra Malaysia Fakulti Pengajian Alam Sekitar
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7545-7406
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Dengue, a major international health problem, is transmitted by aedes mosquitoes. Due to the lack of a vaccine, vector control by tackling the contribution factors may reduce dengue incidence. By understanding the factors contributed to the vector densities such as sociological, environmental and climatic factors, dengue prevention and control will succeed.
Objective
This study is aimed at determining the major sociological, environmental and climatic factors contributing to dengue cases and to produce the risk map based on the contributing factors
Methods
Questionnaire survey of 379 respondent with dengue history were utilized. The climatic data were obtained from Malaysia Meteorological Department. Geographical Information System (GIS) technology has been used to integrate the socio-environmental and climatic factors with dengue cases
Result
The chi-square results revealed that there is a significant association between respondent’s dengue history and houses that are shaded with vegetation (p= 0.012) and the present of playground areas near the residential (p = 0.011) whilst Pearson’s Correlation showed that dengue cases in Kuala Lumpur were significantly correlated with temperature, relative humidity and rainfall (p < 0.05)
Conclusion
The study identified socio-environmental factors that play an important role to develop the risk maps. The risk map can be useful baseline for decision maker to strategize and create preventive measure for controlling aedes mosquitoes.
Keywords
Dengue, IDW, kernel density, environmental factor, sociological factor, climatic factor
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This is a preprint. It has not completed peer review.
Research
Dengue risk map using GIS based on socio-environmental and climatic variables in residential area
Ruhil Amal Adnan
Universiti Putra Malaysia Fakulti Pengajian Alam Sekitar
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7545-7406
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 06 Jan, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Parasitology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Dengue, a major international health problem, is transmitted by aedes mosquitoes. Due to the lack of a vaccine, vector control by tackling the contribution factors may reduce dengue incidence. By understanding the factors contributed to the vector densities such as sociological, environmental and climatic factors, dengue prevention and control will succeed.
Objective
This study is aimed at determining the major sociological, environmental and climatic factors contributing to dengue cases and to produce the risk map based on the contributing factors
Methods
Questionnaire survey of 379 respondent with dengue history were utilized. The climatic data were obtained from Malaysia Meteorological Department. Geographical Information System (GIS) technology has been used to integrate the socio-environmental and climatic factors with dengue cases
Result
The chi-square results revealed that there is a significant association between respondent’s dengue history and houses that are shaded with vegetation (p= 0.012) and the present of playground areas near the residential (p = 0.011) whilst Pearson’s Correlation showed that dengue cases in Kuala Lumpur were significantly correlated with temperature, relative humidity and rainfall (p < 0.05)
Conclusion
The study identified socio-environmental factors that play an important role to develop the risk maps. The risk map can be useful baseline for decision maker to strategize and create preventive measure for controlling aedes mosquitoes.
Figure 2
Figure 4
Figure 5
Figure 7
Figure 9
Figure 12
Figure 14
Figure 16
Figure 18
Figure 20