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Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis

Disease mapping has become an important method used in public health research and disease epidemiology. It is a spatial representation of epidemiology data. A very common disease mapping method is called Standardized Morbidity Ratio (SMR). Many researchers used this method to estimate the relative...

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Main Authors: Alhdiri, Maryam Ahmed, Nor Azah Samat,, Zulkifley Mohamed,
Format: Article
Language:English
Published: School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10581/1/11x.geografia-jul16-maryam-edam%20%281%29.pdf
http://journalarticle.ukm.my/10581/
http://www.ukm.my/geografia/v2/index.php?cont=a&item=2&thn=2016&vol=12&issue=9&ver=loc
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spelling my-ukm.journal.105812017-08-14T06:35:21Z http://journalarticle.ukm.my/10581/ Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis Alhdiri, Maryam Ahmed Nor Azah Samat, Zulkifley Mohamed, Disease mapping has become an important method used in public health research and disease epidemiology. It is a spatial representation of epidemiology data. A very common disease mapping method is called Standardized Morbidity Ratio (SMR). Many researchers used this method to estimate the relative risk of the disease as a preliminary analysis. In this study, the SMR method displays the high and low risk areas of prostate cancer for all districts in Libya. SMR is the ratio of the observed to the expected number of prostate cancer cases and was applied to the observed prostate cancer data from Libya for the years 2010 and 2011. The results were presented in graphs and maps. The highest risk of prostate cancer (all type of cancers) is in the West of Libya probably due to the oil installations in this area such as Mellitah Oil and Gas B.v, the Azawia Oil Refining Company and Bouri Oil Field, as well as the electrical power stations. Susceptible people located in the Eastern part of the country have the lowest risk when compared to the overall population. In conclusion the results show that the use of the SMR method to estimate the relative risk in maps provides high-low risk appearances in maps compared to using the total number of cancer incidence alone. In other words, the SMR method can be considered a basic procedure because it takes into account the total human population for each district. School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia 2016-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10581/1/11x.geografia-jul16-maryam-edam%20%281%29.pdf Alhdiri, Maryam Ahmed and Nor Azah Samat, and Zulkifley Mohamed, (2016) Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis. Geografia : Malaysian Journal of Society and Space, 12 (9). pp. 118-125. ISSN 2180-2491 http://www.ukm.my/geografia/v2/index.php?cont=a&item=2&thn=2016&vol=12&issue=9&ver=loc
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 mapping has become an important method used in public health research and disease epidemiology. It is a spatial representation of epidemiology data. A very common disease mapping method is called Standardized Morbidity Ratio (SMR). Many researchers used this method to estimate the relative risk of the disease as a preliminary analysis. In this study, the SMR method displays the high and low risk areas of prostate cancer for all districts in Libya. SMR is the ratio of the observed to the expected number of prostate cancer cases and was applied to the observed prostate cancer data from Libya for the years 2010 and 2011. The results were presented in graphs and maps. The highest risk of prostate cancer (all type of cancers) is in the West of Libya probably due to the oil installations in this area such as Mellitah Oil and Gas B.v, the Azawia Oil Refining Company and Bouri Oil Field, as well as the electrical power stations. Susceptible people located in the Eastern part of the country have the lowest risk when compared to the overall population. In conclusion the results show that the use of the SMR method to estimate the relative risk in maps provides high-low risk appearances in maps compared to using the total number of cancer incidence alone. In other words, the SMR method can be considered a basic procedure because it takes into account the total human population for each district.
format Article
author Alhdiri, Maryam Ahmed
Nor Azah Samat,
Zulkifley Mohamed,
spellingShingle Alhdiri, Maryam Ahmed
Nor Azah Samat,
Zulkifley Mohamed,
Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
author_facet Alhdiri, Maryam Ahmed
Nor Azah Samat,
Zulkifley Mohamed,
author_sort Alhdiri, Maryam Ahmed
title Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
title_short Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
title_full Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
title_fullStr Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
title_full_unstemmed Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis
title_sort mapping libya’s prostate cancer based on the smr method: a geographical analysis
publisher School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia
publishDate 2016
url http://journalarticle.ukm.my/10581/1/11x.geografia-jul16-maryam-edam%20%281%29.pdf
http://journalarticle.ukm.my/10581/
http://www.ukm.my/geografia/v2/index.php?cont=a&item=2&thn=2016&vol=12&issue=9&ver=loc
_version_ 1643738176645234688
score 13.211869

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