اکثر مکاتبات کومش از طریق ایمیل سایت می باشد. لطفا Spam ایمیل خود را نیز چک نمایید.
   [Home ] [Archive]   [ فارسی ]  
:: ::
:: Volume 17, Issue 2 (جلد 17 (2). پياپی (58). زمستان 1394 1394) ::
Koomesh 1394, 17(2): 277-287 Back to browse issues page
Ranking and clustering Iranian provinces based on important health indicators of vital horoscope in rural areas by using multivariate methods
Ghodratollah Roshanaei, Maliheh Safari, Javad Faradmal *, Manocher Karami, Zahra Kouselo
Abstract:   (6198 Views)
Introduction: Gaining information about the condition of a society from various aspects is one of the main requirements for planning. Assessment and determination of social condition would help the executives to quickly estimate the essential requirements. In regard to the lack of proper ranking and clustering information related to provinces with the use of related variables due to health indicators of vital horoscope in rural areas, we conducted this study with the aim of ranking and clustering of provinces using these indicators. Materials and methods: Provinces were ranked based on the group of vital horoscope indices related to the rural areas published by the Ministry of Health. Multivariate analysis of the principal components and factorial analysis were used to rank the provinces and cluster analysis was applied to specify the homogeneous provinces. The data were analyzed by using SPSS16 and R3.1.1 software. Results: Three extracted factors of mortality, fertility and population, and performance indices were composed more than 86% of data variations. Ranking based on the first factor indicated that south and north Khorasan and Kordestan conditions were unfavorable, while, Tehran and Mazandaran were in favorable conditions. The cluster analysis also placed the similar provinces in terms of health and social indicators in one group. Conclusion: This study showed that the provinces with favorable socio-economic conditions were those with closest distance to the Capital and also those with more social and cultural exchanges due to the tourist industries. Since the socio-economic facilities are not distributed equally through the country, therefore, more equitable socio-economic attention and care to more deprived areas seems essential, which eventually would lead to the growth and development of health indicators in the country
Keywords: Cluster analysis, Statistical Factor Analysis, Vital Statistics, Rural Population
Full-Text [PDF 631 kb]   (1523 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/12/3 | Accepted: 2015/06/27 | Published: 2015/12/14
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Roshanaei G, Safari M, Faradmal J, Karami M, Kouselo Z. Ranking and clustering Iranian provinces based on important health indicators of vital horoscope in rural areas by using multivariate methods. Koomesh 1394; 17 (2) :277-287
URL: http://koomeshjournal.semums.ac.ir/article-1-2703-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 17, Issue 2 (جلد 17 (2). پياپی (58). زمستان 1394 1394) Back to browse issues page
کومش Koomesh
Persian site map - English site map - Created in 0.05 seconds with 30 queries by YEKTAWEB 4514