E Mostafavi, Gh Moradi, Kh Rahmani, F Jahanbakhsh, S Eybpoosh, M Keypour, E Ghaderi, H Erfani, K Hajibagheri, M Zeinali, M Khodabandehloo, M Shirzadi,
Volume 16, Issue 1 (Vol.16, No.1 2020)
Abstract
Background and Objectives: The purpose of this study was to present a summary of the rabies surveillance program in humans in the country, its achievements and its strengths and weaknesses.
Methods: This study was a review of the country's plan for surveillance and control of rabies in humans. The sources of information included the data, reports, documents, and published guidelines. The viewpoints of stakeholders and experts were also reviewed in this study.
Results: Since rabies is a zoonotic disease, its effective management requires a good collaboration between several organizations. Moreover, because Iran is located in an endemic region, there is a need for the development of regional and international cooperation for the success of disease prevention, control and management. Animal services for biting and rabies control are provided free of charge in more than 700 centers in the country. Major achievements of the program include timely preventive treatment for animal bite cases, knowledge of the geographical distribution of the disease, identification of high-risk provinces, and decreasing the percentage of human deaths.
Conclusion: The program has performed well for rabies secondary prevention. Some aspects of the program, however, still need to be improved, including improvement of educational programs targeting general population and high-risk groups, animal bite prevention, vaccination of domestic dogs, controlling the population of stray dogs, rabies control in wild animals, and proper waste collection and disposal.
Asal Aghadavodian Jolfaee, Maryam Jahanbakhsh, Mohamad Sattari, Roya Kelishadi,
Volume 19, Issue 3 (Vol.19, No.3, Autumn 2023)
Abstract
Background and Objectives: The present research was conducted to predict mental health based on three factors: nutrition, activity, and leisure time, among students in the adolescent age group, using data mining techniques.
Methods: The present analytical study was conducted on 14274 data available in the Caspian 5 database. According to the CRISP-DM method, data mining was done in 6 steps using decision trees, k nearest neighbors, simple Bayesian and random forest techniques in Rapidminer software.
Results: Among the four data mining techniques used to predict the mental health of adolescents based on nutrition, physical activity and leisure time, the random forest technique has the highest accuracy (91.72) and specificity (82.73) and the k-nearest neighbors technique has the highest sensitivity (96.30). In addition, based on random forest techniques, the rule with the highest level of support showed that an adolescent who is in high school, eats breakfast, lunch, and dinner every day, drinks tea and coffee weekly, exercises 2 hours a week at school,also, he has 4 days of physical activity for 30 minutes in the last week, and he goes to school with the service, with 100% confidence has good mental health.
Conclusion: Based on the random forest technique, which has showen the best performance, nutrition has the greatest impact on the mental health of Iranian adolescents. So, it is necessary to think about providing a suitable platform for training parents and adolescents regarding proper nutrition and increasing awareness in the field of adolescent mental health.
