Developing dengue index through the integration of crowdsourcing approach (X-Waba)

This research aims at improving the existing dengue indices by developing an algorithm that would use the variables affecting positively the vector’s lifecycle and monitoring them daily to generate an improved Dengue Index that would help forewarn on the high possibility of a dengue outbreak. Resear...

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Main Authors:	makroui, Lyes, Mohd Noor, Norzailawati, Abdullah, Alias
Format:	Conference or Workshop Item
Language:	English English
Published:	IOP Publishing Ltd 2018
Subjects:	G Geography (General) H Social Sciences (General) Q Science (General) T Technology (General)
Online Access:	http://irep.iium.edu.my/65860/ http://irep.iium.edu.my/65860/ http://irep.iium.edu.my/65860/1/Mokraoui_2018_IOP_Conf._Ser.__Earth_Environ._Sci._169_012058.pdf http://irep.iium.edu.my/65860/7/65860_Developing%20dengue%20index_scopus.pdf

id	iium-65860
recordtype	eprints
spelling	iium-658602019-01-30T07:21:03Z http://irep.iium.edu.my/65860/ Developing dengue index through the integration of crowdsourcing approach (X-Waba) makroui, Lyes Mohd Noor, Norzailawati Abdullah, Alias G Geography (General) H Social Sciences (General) Q Science (General) T Technology (General) This research aims at improving the existing dengue indices by developing an algorithm that would use the variables affecting positively the vector’s lifecycle and monitoring them daily to generate an improved Dengue Index that would help forewarn on the high possibility of a dengue outbreak. Researchers attempted to identify the factors influencing the behaviour of the mosquito carrier of the virus in the epidemiological context by generating indices based on the number of mosquitos caught in a given number of traps set within a small urban area or based on the number of mosquitoes found in a household. The House (premises) Index (HI), the Container Index (CI) and the Breteau Index (BI) have been described as not effective in predicting dengue outbreaks. The main drawback of these methods is the fact that they do not consider other variables associated with the vector’s lifecycle, landing habit and geographical extents. The developed index would use crowdsourcing data as an additional tool for the citizens to get involved in providing spatial information and specific attributes for more accurate predictions. Using the data published by the ministry of health Malaysia in the years of 2014 and 2015 for the state of Selangor, the federal territories of Kuala Lumpur and Putrajaya compared with other data; namely, the temperatures, rainfall and moon cycles. Our findings using the time series method of the improved dengue index show a correlation with the dengue cases time series. The crowdsourcing app would in the future further enhance the identification of the hot spots with high dengue fever probabilities. In conclusion, displaying spatially on a map such forecasts approximately 50 days before the occurrence of the outbreak would be beneficial for authorities to carry out preventive measures. IOP Publishing Ltd 2018-08-01 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/65860/1/Mokraoui_2018_IOP_Conf._Ser.__Earth_Environ._Sci._169_012058.pdf application/pdf en http://irep.iium.edu.my/65860/7/65860_Developing%20dengue%20index_scopus.pdf makroui, Lyes and Mohd Noor, Norzailawati and Abdullah, Alias (2018) Developing dengue index through the integration of crowdsourcing approach (X-Waba). In: 9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018), 24-25 April 2018, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1755-1315/169/1/011001
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	G Geography (General) H Social Sciences (General) Q Science (General) T Technology (General)
spellingShingle	G Geography (General) H Social Sciences (General) Q Science (General) T Technology (General) makroui, Lyes Mohd Noor, Norzailawati Abdullah, Alias Developing dengue index through the integration of crowdsourcing approach (X-Waba)
description	This research aims at improving the existing dengue indices by developing an algorithm that would use the variables affecting positively the vector’s lifecycle and monitoring them daily to generate an improved Dengue Index that would help forewarn on the high possibility of a dengue outbreak. Researchers attempted to identify the factors influencing the behaviour of the mosquito carrier of the virus in the epidemiological context by generating indices based on the number of mosquitos caught in a given number of traps set within a small urban area or based on the number of mosquitoes found in a household. The House (premises) Index (HI), the Container Index (CI) and the Breteau Index (BI) have been described as not effective in predicting dengue outbreaks. The main drawback of these methods is the fact that they do not consider other variables associated with the vector’s lifecycle, landing habit and geographical extents. The developed index would use crowdsourcing data as an additional tool for the citizens to get involved in providing spatial information and specific attributes for more accurate predictions. Using the data published by the ministry of health Malaysia in the years of 2014 and 2015 for the state of Selangor, the federal territories of Kuala Lumpur and Putrajaya compared with other data; namely, the temperatures, rainfall and moon cycles. Our findings using the time series method of the improved dengue index show a correlation with the dengue cases time series. The crowdsourcing app would in the future further enhance the identification of the hot spots with high dengue fever probabilities. In conclusion, displaying spatially on a map such forecasts approximately 50 days before the occurrence of the outbreak would be beneficial for authorities to carry out preventive measures.
format	Conference or Workshop Item
author	makroui, Lyes Mohd Noor, Norzailawati Abdullah, Alias
author_facet	makroui, Lyes Mohd Noor, Norzailawati Abdullah, Alias
author_sort	makroui, Lyes
title	Developing dengue index through the integration of crowdsourcing approach (X-Waba)
title_short	Developing dengue index through the integration of crowdsourcing approach (X-Waba)
title_full	Developing dengue index through the integration of crowdsourcing approach (X-Waba)
title_fullStr	Developing dengue index through the integration of crowdsourcing approach (X-Waba)
title_full_unstemmed	Developing dengue index through the integration of crowdsourcing approach (X-Waba)
title_sort	developing dengue index through the integration of crowdsourcing approach (x-waba)
publisher	IOP Publishing Ltd
publishDate	2018
url	http://irep.iium.edu.my/65860/ http://irep.iium.edu.my/65860/ http://irep.iium.edu.my/65860/1/Mokraoui_2018_IOP_Conf._Ser.__Earth_Environ._Sci._169_012058.pdf http://irep.iium.edu.my/65860/7/65860_Developing%20dengue%20index_scopus.pdf
first_indexed	2023-09-18T21:33:26Z
last_indexed	2023-09-18T21:33:26Z
_version_	1777412663424319488

Developing dengue index through the integration of crowdsourcing approach (X-Waba)

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