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Molecular characterization of Cysticercus tenuicollis of slaughtered livestock in Upper Egypt governorates

Asian Pacific Journal of Tropical Biomedicine 2016年第8期6卷 706-708页

作者： mosaab adl eldin omar Layla Omran Elmajdoub Mohammad Saleh Al-Aboody Ahmed Mahmoud Elsify Ahmed Osman Elkhtam Abdelnasser A.Hussien Department of Parasitology Faculty of Veterinary Medicine South Valley University Zoology Department Misurata University Department of Medical Laboratories College of Science Al-Zulfi Majmaah University Department of Animal Medicine and Infectious Diseases Faculty of Veterinary Medicine Sadat City University Department of Parasitology Faculty or Veterinary Medicine University of Sadat City Zoology Department College of Science South Valley University

Objective: To present the molecular characterization of Cysticercus tenuicollis(C. tenuicollis) of Taenia hydatigena(T. hydatigena) from livestock isolates in Egypt, and to introduce a detailed image of C. tenuicollis infection in ruminant animals in Upper ***: The prevalence rates of C. tenuicollis infections among the slaughtered animals from different organs were determined using the amplification of sequencing of the MT-CO1 ***: In the present study the infection rates of C. tenuicollis were found to be 16%and 19% in sheep and goat samples respectively. Firstly we report one larval stage of T. hydatigena detected in the camel liver in Egypt. C. tenuicollis infection manifested a higher prevalence in females than in males. Those above two years of age manifested a higher infection rate than younger animals. The preferred site for the infection was the omentum: a 70% preference in sheep and a 68% preference in goats. The molecular characterization using the MT-CO1 gene of isolates from sheep, goats and camels corresponded to T. hydatigena. For this study, molecular characterizations of T. hydatigena were done for the first time in Egypt. Molecular tools are of great assistance in characterizing the C. tenuicollis parasite especially when the morphological character cannot be detected, because the metacestodes are frequently confused with infection by the hydatid cyst, especially when these occur in the visceral organs. In the present study,C. tenuicollis manifested high identity in the goat and sheep samples, while differences were found more frequently in the camel samples(10 base pair).Conclusions: Clearly molecular diagnosis for C. tenuicollis infection significantly helps to differentiate it from such other metacestodes as hydatidosis, which manifests a completely different pathogenicity and requires different control programs.

关键词： Cysticercus tenuicollis Taenia hydatigena Slaughtered animals Molecular characterization Egypt

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The practicality of Malaysia dengue outbreak forecasting model as an early warning system

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Infectious Disease Modelling 2022年第3期7卷 510-525页

作者： Suzilah Ismail Robert Fildes Rohani Ahmad Wan Najdah Wan Mohamad Ali Topek omar School of Quantitative Sciences Universiti Utara Malaysia UUM SintokKedahMalaysia Centre for Marketing Analytics and Forecasting Lancaster UniversityUnited Kingdom Medical Entomology Unit Institute for Medical ResearchNational Institute of HealthMinistry of Health MalaysiaMalaysia Vector Borne Disease Sector Disease Control DivisionMinistry of Health MalaysiaMalaysia

Dengue is a harmful tropical disease that causes death to many ***,the dengue vaccine development is still at an early stage,and only intervention methods exist after dengue cases ***,previously,two scientific experimental field studies were conducted in producing a dengue outbreak forecasting model as an early warning ***,an Autoregressive Distributed Lag(adl)Model was developed using three factors:the epidemiological,entomological,and environmental with an accuracy of 85%;but a higher percentage is required in minimizing the error for the model to be ***,this study aimed to develop a practical and cost-effective dengue outbreak forecasting model with at least 90%accuracy to be embedded in an early warning computer system using the Internet of Things(IoT)***-one weeks of time series data of the three factors were used in six forecasting models,which were Autoregressive Distributed Lag(adl),Hierarchical Forecasting(Bottom-up and Optimal combination)and three Machine Learning methods:(Artificial Neural Network(ANN),Support Vector Machine(SVM)and Random Forest).Five error measures were used to evaluate the consistency performance of the models in order to ensure model *** findings indicated Random Forest outperformed the other models with an accuracy of 95%when including all three *** practically,collecting mosquito related data(the entomological factor)was very costly and time ***,it was removed from the model,and the accuracy dropped to 92%but still high enough to be of practical use,i.e.,beyond 90%.However,the practical ground operationalization of the early warning system also requires several rain gauges to be located at the dengue hot spots due to localized ***,further analysis was conducted in determining the location of the rain *** has led to the recommendation that the rain gauges should be located about 3e4 km apart at the dengue hot spots to ensure

关键词： dengue rainfall Machine learning Early warning system IoT

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Ability of Comprehensive Geriatric Assessment to Detect Frailty

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Advances in Aging Research 2014年第2期3卷 63-69页

作者： Moatassem S. Amer Tamer M. Farid Ekrami E. Abd El-Rahman Deena M. EL-Maleh omar H. omar Randa A. Mabrouk Clinical Pathology Department Faculty of Medicine Ain Shams University Cairo Egypt Geriatrics and Gerontology Department Faculty of Medicine Ain Shams University Cairo Egypt Radiodiagnosis Department Faculty of Medicine Ain Shams University Cairo Egypt

Background and Aim of the Work: Frailty is a state of reduced physiological reserve associated with increased susceptibility to disability. It is associated with a high morbidity and mortality. This work assessed the ability of comprehensive geriatric assessment to detect frailty in elderly patients. Subjects and Methods: A total number of 104 elderly patients (above 60 years old) were included in this study and they were subjected to a comprehensive geriatric assessment (CGA) including: (history and full clinical examination, Mini mental status examination (MMSE), Geriatric depression scale (GDS), Activities of daily living (adl), Instrumental activities of daily living (Iadl). The patients were divided into frail and non-frail groups using Fried’s criteria as applied by Avila-Funes et al., 2008, each group included 52 patients. Results: There were no significant differences between the two groups regarding age gender or smoking habits. But there was higher percentage of adl, Iadl dependence in addition to higher incidence of depression and cognitive impairment among frail cases. Conclusion: Comprehensive geriatric assessment can be used to detect frailty and its associated impairment and comorbidities.

关键词： Frailty Comprehensive Geriatric Assessment

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