Showing 4 results for Ghajari
S Bokaie, M Soltani, A Rahimi Forushani, A Bahonar, M Afshar Nasab, S Rohani Zadeh, A Ghajari, D Saadati,
Volume 8, Issue 1 (20 2012)
Abstract
Background & Objectives: White spot, as one of the infectious viral diseases, has made severe losses in
shrimp ponds all over the world. Despite extensive efforts made to deal with
and control the disease, white spot continues to be a major health problem in
shrimp farms across Iran. In this work, the significance of the risk factors of
white spot disease epidemic occurred in shrimp ponds of Choubdeh farming site
in Khuzestan province of Iran is determined.
Methods: A cross sectional study was conducted from June 1, 2010, to
September 22, 2010 in 223 shrimp ponds of the site. Data was collected on 17
variables, thought to be associated with the occurrence and epidemic of white
spot, with the aid of the shrimp ponds owners and fisheries and veterinary
organizations. The occurrence of white spot disease in the farming site was
determined by clinical symptoms and the results of conventional PCR tests. the
effectiveness of the risk factors was established by odds ratio (OR).
Results: It is found that poor management of birds fighting (OR=3.72),
less educated farm foreman
(OR= 3.29) and poor filtration of the intake water (OR= 3.43) are significantly
affected the occurrence of the disease while little changes in the salinity of
shrimp ponds (OR= 0.16) decreases the odds of the disease.
Conclusion: These
findings help better develop shrimp farming across Iran, especially in
Khuzestan province.
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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.
Maryam Aghajarinezhad, Yahya Salimi, Shahab Rezaeian, Ghobad Moradi, Fatemeh Khosravi Shadmani, Roya Safari Faramani, Ebrahim Shakiba, Yahya Pasdar, Behrooz Hamzeh, Nayebali Rezvani, Mitra Darbandi, Farid Najafi,
Volume 18, Issue 2 (Vol.18, No.2, Summer 2022 2022)
Abstract
Background and Objectives: Serological studies are based on the detection of antibodies. However, the produced antibodies decrease over time; therefore, such methods cannot provide a valid estimate of prevalence and incidence. The present study aimed to determine the serum prevalence and cumulative incidence in the Ravansar cohort population (Youth and RaNCD Cohort) in October 2020.
Methods: A random sample of 716 people aged > 18 years old were selected from the participants in the Ravansar cohort study in October 2020. Euroimmun anti-SARS COV-2 IgG ELISA kits (Lübeck, Germany) were used to measure antibody levels. Seroprevalence was estimated with considering of cut-off = 1, and cumulative incidence (modified and modified based on test specificity) was determined using modeling.
Results: In the present study, the serum prevalence of COVID-19 viral infection in the Ravansar cohort population from 22 October 2020 to 18 November 2020 was estimated to be %35.16 (95%CI: %31.64, %38.79). Modified Cumulative incidence and modified based on test characteristics from 20 February to 18 November 2020 were estimated to be %68.85 and %67.71, respectively.
Conclusion: Although very high cumulative incidence may be a sign of approaching herd immunity, adherence to health protocols is still recommended due to the potential role of asymptomatic cases in transmitting the disease to other members of the community; and the presence of new variants of the virus and reduced antibody levels should be considered.
Fatemeh Hajivalizadeh, Mahnaz Sanjari, Noushin Fahimfar, Kazem Khalagi, Mohammad Javad Mansourzadeh, Elahe Hesari, Bagher Larijani, Hadis Ghajari, Mahboobeh Darman, Afshin Ostovar,
Volume 19, Issue 2 (Vol.19, No.2, Summer 2023)
Abstract
Background and Objectives: In Iran, a substantial number of individuals at risk of osteoporosis lack access to osteoporosis diagnostic services, highlighting a significant gap in the diagnosis and subsequent treatment of osteoporosis. This study aims to investigate the distribution of bone densitometer devices in Iran.
Methods: Bone densitometry devices across the country in 2018 were assessed through a comprehensive census. Information regarding these devices was gathered based on their location (urban or rural), ownership (government or private), adherence to standards, and years of operation. To calculate the inequality index in the distribution of devices among cities within a province, the frequency of devices in the provincial center was compared to those outside the center. To assess the inequality in the distribution of devices among the provinces of the country, the Lorenz curve and concentration index were utilized. All values were calculated per one million people over 50 years of age.
Results: Of the total 492 bone density measurement devices in the country, 399 devices (81.0%) were located in provincial centers. Out of these, 103 (20.9%) devices were in government-owned centers, while 389 (79.0%) devices were in privately-owned centers. For every one million individuals over 50 years old, the total number of devices, standard devices, standard devices with less than 10 years of operation, and devices in government-owned centers were calculated as 33.4, 20.3, 9.9, and 7, respectively. The inequality index in the distribution of devices in the cities was found to be 4.7. Furthermore, the inequality index in the distribution of devices between provinces was estimated as 0.13 (95%CI: 0.005-0.25) (P value=0.05).
Conclusion: There exists a significant disparity in the distribution of bone densitometry devices across the provinces and cities within the country.
