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1.
IJPM-International Journal of Preventive Medicine. 2014; 5 (7): 857-864
in English | IMEMR | ID: emr-196782

ABSTRACT

Background: Gastrointestinal tract cancer [GI.C] is one of the common cancers in world-wide. The incidence rate of it is different in various geographical regions. This study was performed to assess spatial clusters of the occurrence of GI.C in Fars Province


Methods: In this cross sectional study, the new cases were 4569 cases from 2001 to 2009. The crude incidence rates were standardized based on world population for both sexes. The spatial analysis was conducted using the geographical information systems. We used the local Indicators of spatial association measure, in order to identify local spatial clusters


Results: From a total of the new cases, 62.8% cases were male. The most common GI.Cs were stomach and colorectal cancer in men and women respectively. The significant cluster patterns were discovered from 2002 to 2007. The common type of spatial clustering was a high-high cluster, that to indicate from North-west to South-east of Fars Province


Conclusions: Analysis of the geographical distribution of GI.C will provide opportunities for policymakers for applying preventive measures. Furthermore, it could be helpful for researchers for future epidemiological studies for investigation of etiological agents in regions with significant spatial clustering of high incidence of cancer

2.
IJPM-International Journal of Preventive Medicine. 2014; 5 (3): 313-324
in English | IMEMR | ID: emr-141771

ABSTRACT

Although intellectual disability [ID] is a common disability in Iran, there is no investigation on the spatial distribution pattern of these patients in national level and the spatial maps for recognition the areas with higher prevalence of IDs and local neighborhoods of these regions or effect of socio-demographic factor on this scattering is not still available. This proposition motivated us to assess the population with ID in our country. In a cross-sectional study, we applied Moran's Index [Moran's I] which includes information about the strength of the neighboring association between counties, as global univariate distribution assessment. A geographically weighted regression was used to explore relation between ID patient's prevalence and some socio-demographic factors [migration and illiteracy rate, physician number [PN]/10,000 people and health-care centers [HCCs]/10,000 people]. We found that spatial clusters of ID patients exist among Iran counties [Moran's I = 0.36, P < 0.01] and in a rural area population groups [Moran's I = 0.20,P < 0.01]. Further, we detected spatial associations between ID patients and all of our investigated socio-demographic factors in national scale. In rural areas, illiteracy has high association with ID especially in the south region of Iran. Urban area has random pattern of ID patients both within and between the Iran counties [Moran's I = 0.01, P > 0.3]. According to the results, our Initial hypothesis about the existence of spatial clusters in distribution of people with ID in Iran was proven. Spatial autocorrelation between migration and illiteracy rate and prevalence of patients with ID was shown and was in agreement with our hypothesis. However, our supposition that the prevalence should have inverse relationship with PN and HCC was rejected


Subject(s)
Humans , Prevalence , Social Class , Demography , Geographic Information Systems , Cross-Sectional Studies
3.
IJPM-International Journal of Preventive Medicine. 2013; 4 (10): 1122-1130
in English | IMEMR | ID: emr-148424

ABSTRACT

Cancer is a major health problem in the developing countries. Variations of its incidence rate among geographical areas are due to various contributing factors. This study was performed to assess the spatial patterns of cancer incidence in the Fars Province, based on cancer registry data and to determine geographical clusters. In this cross sectional study, the new cases of cancer were recorded from 2001 to 2009. Crude incidence rate was estimated based on age groups and sex in the counties of the Fars Province. Age standardized incidence rates [ASR] per 100,000 was calculated in each year. Spatial autocorrelation analysis was performed in measuring the geographic patterns and clusters using geographic information system [GIS]. Also, comparisons were made between ASRs in each county. A total of 28, 411 new cases were diagnosed with cancer during 2001-2009 in the Fars Province, 55.5% of which were men. The average age was 61.6 +/- 0.5 years. The highest ASR was observed in Shiraz, which is the largest county in Fars. The Moran's Index of cancer was significantly clustered in 2004, 2005, and 2006 in total, men, and women. The type of spatial clustering was high-high cluster, that to indicate from north-west to south-east of Fars Province. Analysis of the spatial distribution of cancer shows significant differences from year to year and between different areas. However, a clear spatial autocorrelation is observed, which can be of great interest and importance to researchers for future epidemiological studies, and to policymakers for applying preventive measures


Subject(s)
Humans , Female , Male , Cross-Sectional Studies , Spatial Analysis , Geographic Information Systems
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