Evidence map›Paper›PMID 28669155›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Disease Mapping for Stomach Cancer in Libya Based on Besag– York– Mollié (BYM) Model

Maryam Ahmed Salem Alhdiri, Nor Azah Samat, Zulkifley Mohamed

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Article in Asian Pacific journal of cancer prevention : APJCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Maryam Ahmed Salem AlhdiriDepartment of Statistics, Faculty of Science, University of Tripoli, Alfernag, Tripoli, Libya. Email: M.alhdiri@uot.edu.ly, m.alhdiri@yahoo.com
Nor Azah Samat
Zulkifley Mohamed

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, Cancer is the ever-increasing health problem and most common cause of medical deaths. In Libya, it is an important health concern, especially in the setting of an aging population and limited healthcare facilities. Therefore, the goal of this research is to map of the county’ cancer incidence rate using the Bayesian method and identify the high-risk regions (for the first time in a decade). In the field of disease mapping, very little has been done to address the issue of analyzing sparse cancer diseases in Libya. Standardized Morbidity Ratio or SMR is known as a traditional approach to measure the relative risk of the disease, which is the ratio of observed and expected number of accounts in a region that has the greatest uncertainty if the disease is rare or small geographical region. Therefore, to solve some of SMR’s problems, we used statistical smoothing or Bayesian models to estimate the relative risk for stomach cancer incidence in Libya in 2007 based on the BYM model. This research begins with a short offer of the SMR and Bayesian model with BYM model, which we applied to stomach cancer incidence in Libya. We compared all of the results using maps and tables. We found that BYM model is potentially beneficial, because it gives better relative risk estimates compared to SMR method. As well as, it has can overcome the classical method problem when there is no observed stomach cancer in a region.

Indexed as

BYM modeldisease mappingLibyarelative riskstandardized morbidity ratiostomach cancer

Identifiers

PMID28669155
PMCPMC6373820

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.