Showing 2 results for Bokaei
S Bokaei, K Absalanfard, Mh Fallah Mehrabadi , H Ebrahimzadeh Mosavi , A Ghajari , N Shahbazian,
Volume 13, Issue 3 (Vol.13, No.3, Atumn 2017)
Abstract
Background and Objectives: In Iran, rainbow trout farms exist in almost all provinces. Viral hemorrhagic septicemia is one of the most important infectious diseases of the rainbow trout which is a serious threat to the farming industry. This study was conducted to investigate outbreaks in 2014 and identify important determinants of the agent entry and disease occurrence in the farms.
Methods: Data were collected using a structured questionnaire and the disease was detected based on clinical signs and laboratory investigations by PCR methods.
Results: During 52 weeks of the study in 2014, 114 of 1140 (12.63%) farms were affected within 78 zones in 14 provinces. In multivariable analysis, illegal entrance of fries (odds ratio: 7.81, 95% CI: 3.63-16.8), illegal entrance of fish (odds ratio: 5.60, 95% CI: 3.03-10.35) and use of river as the water supply (odds ratio: 2.46, 95% CI: 1.51-4.02) were detected as risk factors associated with virus entry and disease outbreak in farms.
Conclusion: Observing biosecurity measures in the farm level, applying risk-based surveillance based on known risk factors, and assessing these factors on a regular basis are important in prevention and control of VHS.
Hr Bahrami Taghanaki , E Mosa Farkhani , R Eftekhari Gol , P Bahrami Taghanaki , S Bokaei, A Taghipour, B Beygi,
Volume 16, Issue 3 (Vol.16, No.3 2020)
Abstract
Background and Objectives: Diabetes is considered as one of the most common endocrine disorders worldwide. The aim of this study was to investigate the factors associated with diabetic complications.
Methods: A case-control study was performed on the data of 70089 diabetic patients (4622 cases and 53613 controls) extracted from the SINA Electronic Health Record (SinaEHR®) in a population covered by Mashhad University of Medical Sciences in 2018. The effect of independent variables on the likelihood of diabetic complications was investigated using single-variable and multivariate logistic regression models with the control of the potential confounding effects.
Results: Using the multivariate logistic regression, the odds of developing diabetic complications were 0.35 (0.31-0.38) for living in the city, 0.73(0.67-0.79) for living in the suburbs and 0.31(0.28-0.33) for living in rural areas relative to the metropolises, 0.84 (0.78-0.91) for illiterate subjects, 0.70 (0.66-0.75) for physical activity, 1.51(1.34-1.71) for stage 1 hypertension and 1.87 (1.43-2.44) for stage 2 hypertension relative to normal blood pressure, 0.79(0.74-0.85) for uncontrolled low density lipoprotein and 1.42(1.33-1.51) for uncontrolled hemoglobin A1C.
Conclusion: Various risk factors were identified to increase the odds ratio of diabetic complications. The most important risk factors were uncontrolled glycosylated hemoglobin and stage 1 and 2 hypertension. Control of these factors can reduce the chance of diabetic complications in diabetic patients.
