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Provincial clustering of malaria in Iran between 2005 and 2014

Asian Pacific Journal of Tropical Medicine 2020年第4期13卷 162-168页

作者： vahid moqarabzadeh Ahmad Ali Enayati Ahmad Raeisi Fatemeh Nikpour Jamshid Yazdani Charati Department of Biostatistics&Epidemiology School of HealthMazandaran University of Medical SciencesSariIran Medical Entomology Mazandaran University of Medical SciencesSariIran Department of Medical Entomology and Vector Control School of Public HealthTehran University of Medical SciencesTehranIran Department of Environmental Chemical Pollutants and Pesticides Institute for Environmental ResearchTehran University of Medical SciencesTehranIran Department of Biostatistics Health Sciences Research CenterAddiction InstituteMazandaran University of Medical SciencesSariIran

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 100000 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.

关键词： Malaria Cluster analysis Iran

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