Provincial clustering of malaria in Iran between 2005 and 2014
Objective: To reveal the provincial clustering of malaria in Iran between 2005 and 2014 based on the epidemiologic factors and the climatic indicators affecting the disease. Methods: This was a descriptive-analytical study using malaria and meteorological data from the Malaria Elimination Programme...
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ftdoajarticles:oai:doaj.org/article:83683190c90f4fac9cc0d09ce8c4043a 2023-05-15T15:08:21+02:00 Provincial clustering of malaria in Iran between 2005 and 2014 Vahid Moqarabzadeh Ahmad Ali Enayati Ahmad Raeisi Fatemeh Nikpour Jamshid Yazdani Charati 2020-01-01T00:00:00Z https://doi.org/10.4103/1995-7645.280223 https://doaj.org/article/83683190c90f4fac9cc0d09ce8c4043a EN eng Wolters Kluwer Medknow Publications http://www.apjtm.org/article.asp?issn=1995-7645;year=2020;volume=13;issue=4;spage=162;epage=168;aulast=Moqarabzadeh https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.280223 https://doaj.org/article/83683190c90f4fac9cc0d09ce8c4043a Asian Pacific Journal of Tropical Medicine, Vol 13, Iss 4, Pp 162-168 (2020) malaria cluster analysis iran Arctic medicine. Tropical medicine RC955-962 article 2020 ftdoajarticles https://doi.org/10.4103/1995-7645.280223 2022-12-31T08:44:07Z Objective: To reveal the provincial clustering of malaria in Iran between 2005 and 2014 based on the epidemiologic factors and the climatic indicators affecting the disease. Methods: This was a descriptive-analytical study using malaria and meteorological data from the Malaria Elimination Programme of the Ministry of Health and Medical Education and National Meteorological Organization. After standardization, the aggregate data was used to produce 10-year means for each province. The data analysis included grouping the provinces with respect to factors using hierarchical clustering method and Kruskal-Wallis test to examine the difference between clusters using SPSS ver.23. Results: The hierarchical clustering stratified the provinces’ in 5 clusters. Kruskal-Wallis H test revealed a significant difference in the incidence rate per 100 000 population (P=0.001), male gender (P=0.001), Iranian nationality (P=0.001), Afghan nationality (P=0.003), Pakistani nationality (P=0.001), urban residence (P=0.006), rural residence (P=0.004), autochthonous cases (P=0.007), average minimum temperature (P=0.001), average maximum temperature (P=0.007), average relative humidity (P=0.011), average pressure level (P=0.038), prevailing wind direction (P=0.023), average wind speed (P=0.031) and average precipitation sum (P=0.002) among the clusters. Conclusions: The results of this study and stratification of the provinces could help health policy makers to better manage malaria by allocating resources accordingly. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Asian Pacific Journal of Tropical Medicine 13 4 162 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
malaria cluster analysis iran Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
malaria cluster analysis iran Arctic medicine. Tropical medicine RC955-962 Vahid Moqarabzadeh Ahmad Ali Enayati Ahmad Raeisi Fatemeh Nikpour Jamshid Yazdani Charati Provincial clustering of malaria in Iran between 2005 and 2014 |
topic_facet |
malaria cluster analysis iran Arctic medicine. Tropical medicine RC955-962 |
description |
Objective: To reveal the provincial clustering of malaria in Iran between 2005 and 2014 based on the epidemiologic factors and the climatic indicators affecting the disease. Methods: This was a descriptive-analytical study using malaria and meteorological data from the Malaria Elimination Programme of the Ministry of Health and Medical Education and National Meteorological Organization. After standardization, the aggregate data was used to produce 10-year means for each province. The data analysis included grouping the provinces with respect to factors using hierarchical clustering method and Kruskal-Wallis test to examine the difference between clusters using SPSS ver.23. Results: The hierarchical clustering stratified the provinces’ in 5 clusters. Kruskal-Wallis H test revealed a significant difference in the incidence rate per 100 000 population (P=0.001), male gender (P=0.001), Iranian nationality (P=0.001), Afghan nationality (P=0.003), Pakistani nationality (P=0.001), urban residence (P=0.006), rural residence (P=0.004), autochthonous cases (P=0.007), average minimum temperature (P=0.001), average maximum temperature (P=0.007), average relative humidity (P=0.011), average pressure level (P=0.038), prevailing wind direction (P=0.023), average wind speed (P=0.031) and average precipitation sum (P=0.002) among the clusters. Conclusions: The results of this study and stratification of the provinces could help health policy makers to better manage malaria by allocating resources accordingly. |
format |
Article in Journal/Newspaper |
author |
Vahid Moqarabzadeh Ahmad Ali Enayati Ahmad Raeisi Fatemeh Nikpour Jamshid Yazdani Charati |
author_facet |
Vahid Moqarabzadeh Ahmad Ali Enayati Ahmad Raeisi Fatemeh Nikpour Jamshid Yazdani Charati |
author_sort |
Vahid Moqarabzadeh |
title |
Provincial clustering of malaria in Iran between 2005 and 2014 |
title_short |
Provincial clustering of malaria in Iran between 2005 and 2014 |
title_full |
Provincial clustering of malaria in Iran between 2005 and 2014 |
title_fullStr |
Provincial clustering of malaria in Iran between 2005 and 2014 |
title_full_unstemmed |
Provincial clustering of malaria in Iran between 2005 and 2014 |
title_sort |
provincial clustering of malaria in iran between 2005 and 2014 |
publisher |
Wolters Kluwer Medknow Publications |
publishDate |
2020 |
url |
https://doi.org/10.4103/1995-7645.280223 https://doaj.org/article/83683190c90f4fac9cc0d09ce8c4043a |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Asian Pacific Journal of Tropical Medicine, Vol 13, Iss 4, Pp 162-168 (2020) |
op_relation |
http://www.apjtm.org/article.asp?issn=1995-7645;year=2020;volume=13;issue=4;spage=162;epage=168;aulast=Moqarabzadeh https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.280223 https://doaj.org/article/83683190c90f4fac9cc0d09ce8c4043a |
op_doi |
https://doi.org/10.4103/1995-7645.280223 |
container_title |
Asian Pacific Journal of Tropical Medicine |
container_volume |
13 |
container_issue |
4 |
container_start_page |
162 |
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1766339732109787136 |