GIS-Based Drug Abuse Monitoring System

基于GIS的药物滥用监测系统

• 批准号: 7538975
• 负责人: Sergey Sandomirsky
• 金额: $ 10.71万
• 依托单位: PHYSICAL OPTICS CORPORATION
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7538975
• 关键词: Accounting; Address; Admission activity; Algorithms; American; Area; Arts; Behavior; Bioterrorism; Characteristics; Classification; Code; Communities; Computer software; Consumption; Data; Data Set; Database Management Systems; Databases; Decision Trees; Demography; Dependence; Derivation procedure; Development; Dimensions; Drug Abuse Treatment Services; Drug Controls; Drug abuse; Drug usage; Elements; Epidemic; Epidemiologist; Epidemiology; Event; Generations; Geographic Information Systems; Goals; Healthcare; Human; Illicit Drugs; Institutes; Insurance; Learning; Lyme Disease; Malaria; Maps; Marketing; Measures; Medical; Medical Surveillance; Methods; Minor; Modification; Monitor; Natural Disasters; Numbers; Optics; Other Working Groups; Pattern; Performance; Pharmaceutical Preparations; Phase; Police; Poliomyelitis; Procedures; Production; Public Health; Publishing; Questionnaires; Rate; Records; Relapse; Reporting; Research; Risk; Running; Seizures; Series; Software Engineering; Software Tools; Soil; Source; Specific qualifier value; Standards of Weights and Measures; Surveys; System; Technology; Test Result; Text; Texture; Time; United States; Work; Youth; Zip Code; base; court; data mining; design; drug abuse prevention; epidemiology study; experience; innovation; interest; killings; metropolitan; novel; prototype; research study; social; tool; trend; user-friendly

DESCRIPTION (provided by applicant): To address the NIDA need for state-of-the-art GIS tools for more efficient monitoring of drug abuse incidents in the United States, Physical Optics Corporation (POC) proposes to develop the novel GIS-based Drug Abuse Monitoring (GISDAM) system, based on a combination of POC's innovative approach for indicator relationship inference using methods of data mining, and standard GIS means of spatial analysis. GISDAM is based on two unique POC innovations: new algorithms for automatic spatial object classification and relationship inference based on using data mining approaches to generate learning parameters, and a novel ESRI ArcObjects extension software for indirect indicator generation. The proposed GISDAM system offers (1) graphic spatial analysis of drug abuse patterns and trends based on multiple layer representation of different epidemiological indicators; (2) extrapolation of pattern and trend analysis results, from selected disjointed communities to the entire U.S. territory; (3) the capability to infer new relationships between drug abuse epidemic characteristics and different relevant indicators. GISDAM is an extension of ArcGIS and consists of three main ActiveX DLLs, providing: (1) raw data import into the MS Access database, with the transformation of medical and police records, demographic data, survey questionnaires, etc. into MDB files; (2) prediction (inference) of direct indicators based on indirect indicators, through automatic classification with learning based on data mining methods; (3) off-the-shelf software functionality wrappers, offering a set of functions invoked by clicking on toolbar or menu elements accessible directly from ArcMap. The Phase I prototype will implement basic GISDAM functionality based on small datasets using MS Access. In Phase II, POC will develop a full functionality software prototype based on a production DBMS, such as Oracle or MS SQL Server with remote data access. PUBLIC HEALTH RELEVANCE: E Drug abuse in the United States negatively influences public health, causing enormous human (for instance, 26,000 people died in 2002) and material damage, and lowers people's capacity for work. POC proposes the development of computer software based on modern geographic information systems, which will allow the effective monitoring of drug abuse patterns and trends to develop adequate medical and social measures for drug abuse prevention.

描述（由申请人提供）：为了满足NIDA的最新GIS工具的需求，以更有效地监控美国的药物滥用事件，基于POC对POC的创新方法组合使用指示性关系分析的方法分析和标准分析方法，并且基于POC的创新方法，并基于POC的组合来开发基于GIS的新型药物滥用监测（GISDAM）系统。 GISDAM基于两种独特的POC创新：基于使用数据挖掘方法生成学习参数的新型空间对象分类和关系推理的新算法，以及一种新颖的ESRI Arcobjects扩展软件，用于引导指标生成。拟议的GISDAM系统提供（1）基于不同流行病学指标的多层表示药物滥用模式和趋势的图形空间分析； （2）外推出模式和趋势分析结果，从选定的分离社区到整个美国领土； （3）推断药物滥用流行特征与不同相关指标之间的新关系。 GISDAM是ArcGIS的扩展，由三个主要的ActiveX DLL组成，提供：（1）将原始数据导入到MS Access数据库中，并将医疗和警察记录的转换，人口统计数据，调查问卷等转换为MDB文件； （2）通过基于数据挖掘方法自动分类对基于间接指标的直接指标的预测（推理）； （3）现成的软件功能包装器，通过单击工具栏或菜单元素可直接从Arcmap访问，提供了一组功能。 I阶段原型将使用MS Access基于小数据集实现基本的GISDAM功能。在II阶段，POC将基于生产DBMS（例如Oracle或MS SQL Server）开发完整的功能软件原型，并具有远程数据访问。公共卫生相关性：美国的毒品滥用会对公共卫生产生负面影响，导致巨大的人类（例如，2002年26,000人死亡）和物质损害，并降低了人们的工作能力。 POC提出了基于现代地理信息系统的计算机软件开发，这将使对药物滥用模式和趋势有效监测，以开发足够的医学和社会措施以预防药物滥用。