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1.
Epidemiology and Health ; : e2020058-2020.
Article in English | WPRIM | ID: wpr-898251

ABSTRACT

OBJECTIVES@#Spatial information makes a crucial contribution to enhancing and monitoring the brucellosis surveillance system by facilitating the timely diagnosis and treatment of brucellosis. @*METHODS@#An exponential scan statistic model was used to formalize the spatial distribution of the adjusted delay in the diagnosis time of brucellosis (time between onset and diagnosis of the disease) in Kurdistan Province, Iran. Logistic regression analysis was used to compare variables of interest between the clustered and non-clustered areas. @*RESULTS@#The spatial distribution of clusters of human brucellosis cases with delayed diagnoses was not random in Kurdistan Province. The mean survival time (i.e., time between symptom onset and diagnosis) was 4.02 months for the short spatial cluster, which was centered around the city of Baneh, and was 4.21 months for spatiotemporal clusters centered around the cities of Baneh and Qorveh. Similarly, the mean survival time for the long spatial and spatiotemporal clusters was 6.56 months and 15.69 months, respectively. The spatial distribution of the cases inside and outside of clusters differed in terms of livestock vaccination, residence, sex, and occupational variables. @*CONCLUSIONS@#The cluster pattern of brucellosis cases with delayed diagnoses indicated poor performance of the surveillance system in Kurdistan Province. Accordingly, targeted and multi-faceted approaches should be implemented to improve the brucellosis surveillance system and to reduce the number of lost days caused by delays in the diagnosis of brucellosis, which can lead to long-term and serious complications in patients.

2.
Epidemiology and Health ; : e2020058-2020.
Article in English | WPRIM | ID: wpr-890547

ABSTRACT

OBJECTIVES@#Spatial information makes a crucial contribution to enhancing and monitoring the brucellosis surveillance system by facilitating the timely diagnosis and treatment of brucellosis. @*METHODS@#An exponential scan statistic model was used to formalize the spatial distribution of the adjusted delay in the diagnosis time of brucellosis (time between onset and diagnosis of the disease) in Kurdistan Province, Iran. Logistic regression analysis was used to compare variables of interest between the clustered and non-clustered areas. @*RESULTS@#The spatial distribution of clusters of human brucellosis cases with delayed diagnoses was not random in Kurdistan Province. The mean survival time (i.e., time between symptom onset and diagnosis) was 4.02 months for the short spatial cluster, which was centered around the city of Baneh, and was 4.21 months for spatiotemporal clusters centered around the cities of Baneh and Qorveh. Similarly, the mean survival time for the long spatial and spatiotemporal clusters was 6.56 months and 15.69 months, respectively. The spatial distribution of the cases inside and outside of clusters differed in terms of livestock vaccination, residence, sex, and occupational variables. @*CONCLUSIONS@#The cluster pattern of brucellosis cases with delayed diagnoses indicated poor performance of the surveillance system in Kurdistan Province. Accordingly, targeted and multi-faceted approaches should be implemented to improve the brucellosis surveillance system and to reduce the number of lost days caused by delays in the diagnosis of brucellosis, which can lead to long-term and serious complications in patients.

3.
Journal of Paramedical Sciences. 2016; 7 (1): 27-31
in English | IMEMR | ID: emr-186148

ABSTRACT

University theses and dissertations are among those credible sources of information which, with regard to their given status of value, and the use of update resources using the international regulations and standards, can be perfect sources for optimal recovery of information and can increase the scientific credibility


This study reviews the accordance of the Pharmaceutical theses of Shahid Beheshti University of Medical Sciences and the University of Tehran with the ISO 7144 standards: 2008-2012. 765 pharmaceutical theses of Shahid Beheshti University of Medical Sciences and the University of Tehran at both general and specialized levels were studied, using an analytical method. Data collection was based on the checklist prepared according to ISO 7144 standards. The comparisons were performed based on the t-test, using SPSS software. The results manifested that the theses done at Shahid Beheshti University of Medical Sciences adhered more to the ISO standards compared to the University of Tehran. The study also revealed that the mean score of the adherence to the standards of ISO has been more in specialized theses than the general ones. Moreover, it suggests that, due to their scientific and practical nature, theses are among the most important sources, and therefore, the manner through which the data is inserted, is of utmost importance


The accordance of the studied theses of both general and specialized themes in both universities to ISO 7144 standards is below the %50 of the desired standard and has a long way to go to reach the desired status?

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