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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/10396/1/21%20Nor%20Azah.pdf
http://journalarticle.ukm.my/10396/
http://www.ukm.my/jsm/english_journals/vol45num11_2016/contentsVol45num11_2016.html
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spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
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/10396/1/21%20Nor%20Azah.pdf
http://journalarticle.ukm.my/10396/
http://www.ukm.my/jsm/english_journals/vol45num11_2016/contentsVol45num11_2016.html
_version_ 1643738108830679040
score 13.211869

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