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The Design of Geographic Information Systems for the Storage and Analysis of Public Health and Environmental Data

The Design of Geographic Information Systems for the Storage and Analysis of Public Health and Environmental Data. Waterscape International Group. Purpose of this Research.

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The Design of Geographic Information Systems for the Storage and Analysis of Public Health and Environmental Data

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  1. The Design of Geographic Information Systems for the Storage and Analysis of Public Health and Environmental Data Waterscape International Group Randolph B. Flay

  2. Purpose of this Research • Develop a system for the storage and analysis of public health and environmental data to guide decision-making using database and Geographic Information System (GIS) software • Use this system to investigate the effects of air and water quality on public health • Highlight the need for appropriate data storage, analysis, and exchange Randolph B. Flay

  3. Background • Vilnius, capital of Lithuania, population 580,000 • Maps of the city, 20 city districts, 9 distinct water supply networks in the city • Design of the system and show an example of its application to air quality • Extensive restructuring in the ministries involved in environmental and public health data collection, analysis, and dissemination Randolph B. Flay

  4. Overview of Steps Involved • Obtain data on disease rates, water quality, air quality, and basic GIS layers (city features) • Import this data and create meaningful relationships to query the database by city district or water supply district • Export data sets to statistical or mapping packages for analysis • Software used: MS Access, ESRI’s ArcView, MS Excel, Systat. Randolph B. Flay

  5. Data Flow Randolph B. Flay

  6. Data • Age Groups: 1991 & 1992 all ages, 1991-1995 ages 0-100 • Air Quality Index, CO, NO2, SO2 • International Classification of Diseases • Diseases studied Randolph B. Flay

  7. Methods • Two fold aim: First to calculate disease rates and, second, to look for relationships between disease rates and environmental phenomenon • Calculate morbidity rates at the street and district level • Select respiratory diseases for analysis • Simple regression analysis between air quality indicators (Air Pollution Index, CO, NO2, SO2) Randolph B. Flay

  8. Results • General findings of disease rates • Results of the regression analysis • Maps of disease distribution Randolph B. Flay

  9. Discussion • The examination of air quality is meant to be an example of potential applications and not a thorough analysis. • Temperature, social, economic, and other factors may confound the analysis. Time-series analysis. • Training is a very important part of implementing this sort of system. • Some of the software and development can be costly. Randolph B. Flay

  10. Recommendations • General data management: information exchange between government agencies, Internet, publicly available information. Seek ways to standardize information collection among agencies. • In regards to air quality: seek methods of compliance with air quality standards, educate the public about disease prevention Randolph B. Flay

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