M. Gholami, Majid Najafzadeh, N. Behnampour, Z. Abdollahi, F. S. Ghotbabadi, F. Lashkarboluki, M. Honarvar
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SQL Server 2014 software was used for its implementation. SharpMap open source engine was used to render spatial data and display maps on the web, and many parts of the engine were coded specifically to meet different organizational needs. The system was designed using the WEB GIS engine. Results: SAMAT system was executed in nine provinces of the country in different periods. SAMAT dashboard provides a variety of information for executive managers. Based on demographic data, the state of food insecurity can be identified at different levels from city to village, in a variety of graphs. A spectrum from the urban distribution to the local distribution of food insecurity can be identified on the GIS map. Zooming in on different areas can help to identify more food insecure neighborhoods within the village or town, thus giving managers the priority of food insecurity interventions at the neighborhood or village level. 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引用次数: 1
摘要
背景与目的:伊朗在2008年被报告为世界粮食安全地图的高风险群体。确定粮食不安全是执行干预措施的第一步。衡量家庭粮食安全是其基石。SAMAT系统旨在向粮食安全领域的决策者和管理人员提供各种基于地理信息系统的报告。方法:SAMAT系统由各专业人员共同开发。采用Rational Unified Process方法对系统进行分析,经过优化和规范化处理,形成集中的数据库。采用SQL Server 2014软件实现。使用SharpMap开源引擎在网络上呈现空间数据和显示地图,并且该引擎的许多部分被专门编码以满足不同的组织需求。系统采用WEB GIS引擎进行设计。结果:SAMAT系统在全国9个省份不同时期实施。SAMAT仪表板为执行经理提供各种信息。根据人口统计数据,粮食不安全状况可以通过各种图表从城市到村庄的不同层次来确定。可以在地理信息系统地图上确定从城市分布到地方分布的粮食不安全范围。对不同地区进行放大可以帮助确定村庄或城镇内更多的粮食不安全社区,从而使管理人员优先考虑社区或村庄一级的粮食不安全干预措施。可以查看住户特征和问卷调查结果信息。结论:AMAT系统可用于国家、省、市甚至城乡层面的粮食安全管理。我们建议在全面实施减少粮食不安全措施后,定期确定重点,确定省份,并通过基于samat的系统重新评估干预措施的有效性
National Food and Nutrition Security System (SAMAT), A Tool for Identifying and Monitoring Food Insecurity in the Country
Mohammad Reza Honarvar, Health Management and Social Development research Center, Golestan University of Medical Sciences, Gorgan, Iran mrhonarvar@goums.ac.ir Abstract Background and objectives: Iran was reported in the high-risk group of World Food Security Map in 2008 .Identifying food insecurity is first step for executing interventions. Measuring household food security is its cornerstone. SAMAT System was designed to provide a variety of GIS-based reports to policy makers and managers in the field of food security. Methods: SAMAT system was developed by a team working with various specialties. The system was analyzed using Rational Unified Process methodology and after optimization and normalization process, centralized database was formed. SQL Server 2014 software was used for its implementation. SharpMap open source engine was used to render spatial data and display maps on the web, and many parts of the engine were coded specifically to meet different organizational needs. The system was designed using the WEB GIS engine. Results: SAMAT system was executed in nine provinces of the country in different periods. SAMAT dashboard provides a variety of information for executive managers. Based on demographic data, the state of food insecurity can be identified at different levels from city to village, in a variety of graphs. A spectrum from the urban distribution to the local distribution of food insecurity can be identified on the GIS map. Zooming in on different areas can help to identify more food insecure neighborhoods within the village or town, thus giving managers the priority of food insecurity interventions at the neighborhood or village level. One can view household characteristics and the results of questionnaire information. Conclusion: AMAT system can be useful for managing food security at the national, provincial, city and even rural or urban levels. we recommend periodically prioritizing points, Identifying the provinces and re-evaluating the effectiveness of interventions through the SAMAT-based system after comprehensive implementation of food insecurity reduction