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...
| Main Authors: | , , |
|---|---|
| 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/ http://journalarticle.ukm.my/10581/1/11x.geografia-jul16-maryam-edam%20%281%29.pdf |
| _version_ | 1848812436929380352 |
|---|---|
| author | Alhdiri, Maryam Ahmed Nor Azah Samat, Zulkifley Mohamed, |
| author_facet | Alhdiri, Maryam Ahmed Nor Azah Samat, Zulkifley Mohamed, |
| author_sort | Alhdiri, Maryam Ahmed |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T00:02:16Z |
| format | Article |
| id | oai:generic.eprints.org:10581 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:02:16Z |
| publishDate | 2016 |
| publisher | School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | Alhdiri, Maryam Ahmed Nor Azah Samat, Zulkifley Mohamed, Mapping Libya’s prostate cancer based on the SMR method: a geographical analysis |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/10581/ http://journalarticle.ukm.my/10581/ http://journalarticle.ukm.my/10581/1/11x.geografia-jul16-maryam-edam%20%281%29.pdf |