Sliding window correlation analysis for dengue-climate variable relationship

This study discussed building of sliding windows to analyze the relationship between dengue incidences and weather variables of mean temperature, relative humidity and rainfall, across the timeline. A window sized of 20 was selected and applied to find correlation between dengue incidences and each...

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Main Authors: Thiruchelvam, L., Asirvadam, V.S., Dass, S.C., Daud, H., Gill, B.S.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30621 /
Published: American Institute of Physics Inc. 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006001679&doi=10.1063%2f1.4968149&partnerID=40&md5=87fc9013bcd7c8bcbf5e57fef7225dd0
http://eprints.utp.edu.my/30621/
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recordtype eprints
spelling utp-eprints.306212022-03-25T07:12:38Z Sliding window correlation analysis for dengue-climate variable relationship Thiruchelvam, L. Asirvadam, V.S. Dass, S.C. Daud, H. Gill, B.S. This study discussed building of sliding windows to analyze the relationship between dengue incidences and weather variables of mean temperature, relative humidity and rainfall, across the timeline. A window sized of 20 was selected and applied to find correlation between dengue incidences and each of the weather variable. A few time lag of zero, two, four, six, and eight is compared and the time lag with best correlation is selected for each weather variable. Study did not found a good insight for analysis using mean temperature and relative humidity. For both these variables, it was suggested dengue incidences is better measured using fluctuation of maximum and minimum values. Analysis using rainfall variable was found to vary across the timeline in magnitude and direction of the correlation. Time lag of eight was found to be the most significant explaining the relationship between dengue incidences and rainfall variable. © 2016 Author(s). American Institute of Physics Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006001679&doi=10.1063%2f1.4968149&partnerID=40&md5=87fc9013bcd7c8bcbf5e57fef7225dd0 Thiruchelvam, L. and Asirvadam, V.S. and Dass, S.C. and Daud, H. and Gill, B.S. (2016) Sliding window correlation analysis for dengue-climate variable relationship. In: UNSPECIFIED. http://eprints.utp.edu.my/30621/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This study discussed building of sliding windows to analyze the relationship between dengue incidences and weather variables of mean temperature, relative humidity and rainfall, across the timeline. A window sized of 20 was selected and applied to find correlation between dengue incidences and each of the weather variable. A few time lag of zero, two, four, six, and eight is compared and the time lag with best correlation is selected for each weather variable. Study did not found a good insight for analysis using mean temperature and relative humidity. For both these variables, it was suggested dengue incidences is better measured using fluctuation of maximum and minimum values. Analysis using rainfall variable was found to vary across the timeline in magnitude and direction of the correlation. Time lag of eight was found to be the most significant explaining the relationship between dengue incidences and rainfall variable. © 2016 Author(s).
format Conference or Workshop Item
author Thiruchelvam, L.
Asirvadam, V.S.
Dass, S.C.
Daud, H.
Gill, B.S.
spellingShingle Thiruchelvam, L.
Asirvadam, V.S.
Dass, S.C.
Daud, H.
Gill, B.S.
Sliding window correlation analysis for dengue-climate variable relationship
author_sort Thiruchelvam, L.
title Sliding window correlation analysis for dengue-climate variable relationship
title_short Sliding window correlation analysis for dengue-climate variable relationship
title_full Sliding window correlation analysis for dengue-climate variable relationship
title_fullStr Sliding window correlation analysis for dengue-climate variable relationship
title_full_unstemmed Sliding window correlation analysis for dengue-climate variable relationship
title_sort sliding window correlation analysis for dengue-climate variable relationship
publisher American Institute of Physics Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006001679&doi=10.1063%2f1.4968149&partnerID=40&md5=87fc9013bcd7c8bcbf5e57fef7225dd0
http://eprints.utp.edu.my/30621/
_version_ 1741197438403739648
score 11.62408

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