New approach to calculate the denominator for the relative risk equation

Disease frequency is used to measure the situation of the disease with reference to the population size and time period which is in a fractional form. The lower part of the fraction, known as denominator is the important part as it was used to calculate a rate or ratio. Since the disease frequency i...

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Main Authors:	Nor Azah Samat, Syafiqah Husna Mohd Imanm Ma’arof
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:	http://journalarticle.ukm.my/10396/ http://journalarticle.ukm.my/10396/ http://journalarticle.ukm.my/10396/1/21%20Nor%20Azah.pdf

id	ukm-10396
recordtype	eprints
spelling	ukm-103962017-05-22T00:13:02Z http://journalarticle.ukm.my/10396/ New approach to calculate the denominator for the relative risk equation Nor Azah Samat, Syafiqah Husna Mohd Imanm Ma’arof, Disease frequency is used to measure the situation of the disease with reference to the population size and time period which is in a fractional form. The lower part of the fraction, known as denominator is the important part as it was used to calculate a rate or ratio. Since the disease frequency is based on a ratio estimator, the results are highly dependent upon the value of denominator. Therefore, the main aim of this paper was to propose a new method in calculating the denominator for the relative risk equation with the application to chikungunya disease data from Malaysia. The new method of calculating the denominator of the relative risk equation includes the use of discrete time-space stochastic SIR-SI (susceptible-infective-recovered for human population and susceptible-infective for vector population) disease transmission model instead of the total disease counts. The results of the analysis showed that the estimation of expected disease counts based on total posterior means can overcome the problem of expected counts estimation based on the total number of disease especially when there is no observed disease count in certain regions. The proposed new approach to calculate the denominator for the relative risk equation is suitable for the case of rare disease in which it offers a better method of expected disease counts estimation. Penerbit Universiti Kebangsaan Malaysia 2016-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10396/1/21%20Nor%20Azah.pdf Nor Azah Samat, and Syafiqah Husna Mohd Imanm Ma’arof, (2016) New approach to calculate the denominator for the relative risk equation. Sains Malaysiana, 45 (11). pp. 1741-1745. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol45num11_2016/contentsVol45num11_2016.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Disease frequency is used to measure the situation of the disease with reference to the population size and time period which is in a fractional form. The lower part of the fraction, known as denominator is the important part as it was used to calculate a rate or ratio. Since the disease frequency is based on a ratio estimator, the results are highly dependent upon the value of denominator. Therefore, the main aim of this paper was to propose a new method in calculating the denominator for the relative risk equation with the application to chikungunya disease data from Malaysia. The new method of calculating the denominator of the relative risk equation includes the use of discrete time-space stochastic SIR-SI (susceptible-infective-recovered for human population and susceptible-infective for vector population) disease transmission model instead of the total disease counts. The results of the analysis showed that the estimation of expected disease counts based on total posterior means can overcome the problem of expected counts estimation based on the total number of disease especially when there is no observed disease count in certain regions. The proposed new approach to calculate the denominator for the relative risk equation is suitable for the case of rare disease in which it offers a better method of expected disease counts estimation.
format	Article
author	Nor Azah Samat, Syafiqah Husna Mohd Imanm Ma’arof,
spellingShingle	Nor Azah Samat, Syafiqah Husna Mohd Imanm Ma’arof, New approach to calculate the denominator for the relative risk equation
author_facet	Nor Azah Samat, Syafiqah Husna Mohd Imanm Ma’arof,
author_sort	Nor Azah Samat,
title	New approach to calculate the denominator for the relative risk equation
title_short	New approach to calculate the denominator for the relative risk equation
title_full	New approach to calculate the denominator for the relative risk equation
title_fullStr	New approach to calculate the denominator for the relative risk equation
title_full_unstemmed	New approach to calculate the denominator for the relative risk equation
title_sort	new approach to calculate the denominator for the relative risk equation
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2016
url	http://journalarticle.ukm.my/10396/ http://journalarticle.ukm.my/10396/ http://journalarticle.ukm.my/10396/1/21%20Nor%20Azah.pdf
first_indexed	2023-09-18T19:57:18Z
last_indexed	2023-09-18T19:57:18Z
_version_	1777406615212785664

New approach to calculate the denominator for the relative risk equation

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