Mohammad Hossein Bagheri; Mozhgan Seif; Mostafa Ebrahimi; Ahmad Reza Rezai Ardakani; Mohebat Vali; Haleh Ghaem
Abstract
Background: Brucellosis, a zoonotic disease, poses a significant health and economic challenge in many parts of the world, including Mediterranean and Middle Eastern countries. This study aimed to investigate the risk factors and recurrence of brucellosis, focusing on demographic variables such as age, ...
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Background: Brucellosis, a zoonotic disease, poses a significant health and economic challenge in many parts of the world, including Mediterranean and Middle Eastern countries. This study aimed to investigate the risk factors and recurrence of brucellosis, focusing on demographic variables such as age, gender, occupation, place of residence, and the spatiotemporal pattern of the population.Methods: The study design was cross-sectional.The authors enrolled all Brucella cases registered in the infectious disease surveillance system of Fars province from 2014 to 2018 in the study. They performed a multivariate analysis of the disease risk factors using a Poisson regression model and a multivariate analysis of the risk factors associated with brucellosis recurrence using a logistic regression model.Results: The incidence of brucellosis in Fars province exhibited a decreasing trend. The findings revealed that the sex ratio of patients who consumed unpasteurized dairy products, the mean age of patients per month, and the proportion of people living in rural areas relative to the total number of patients with brucellosis were significantly associated with the risk of brucellosis. Moreover, the probability of disease recurrence was higher in colder seasons compared to spring.Conclusion: A higher ratio of lightweight livestock to heavyweight livestock was identified as a risk factor for brucellosis, indicating the more significant role of lightweight livestock in the incidence of brucellosis in Fars province. Therefore, controlling the disease in lightweight livestock is of paramount importance, and the vaccination of these livestock should be more strictly monitored and implemented.
Alireza Mirahmadizadeh; Mehdi Sharafi; Abdollah Azizi; Mozhgan Seif
Abstract
Background: It is estimated that in 2025, the cost of diabetes will account for 40% of total health spending. In Iran, 4.5 to 5 million people are afflicted with diabetes, and its prevalence has doubled during the past three decades. The aim of this study was to determine the function and preparedness ...
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Background: It is estimated that in 2025, the cost of diabetes will account for 40% of total health spending. In Iran, 4.5 to 5 million people are afflicted with diabetes, and its prevalence has doubled during the past three decades. The aim of this study was to determine the function and preparedness of diabetes surveillance system in Iran.Methods: In this cross-sectional study, all managers, health policymakers and experts of diabetes(N:125) entered the study and completed a questionnaire on the existence and implementation of the surveillance system domains (from data collection to evaluation) and the relationship between domains of this system and their function. The descriptive statistical method, path analysis, was employed using Amos.Results: A ccording t o m anager’s v iewpoint, t he r ange o f existence and implementation of all domains of surveillance system were 12% to 68.7% in average. They believed that 10-69% of domains of surveillance system were working properly. Most of respondents (59-87%) declared that investing in diabetes at different levels of prevention was less than expected. Satisfaction with both diabetes surveillance system function and diabetic patients was low and they don’t have a good and bright future for diabetes and its various aspects. By modeling analytical structural equations, some components of surveillance system were moderately worked together.Conclusion: we conclude that we must first formulate and prepare a standard surveillance system as well as train the relevant personnel and make clear changes in the existing care system. With the current surveillance system, we have a long way to go to prevent and control diabetes to an acceptable the average level of performance of the care system is lower than expected
