My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
2006-193E.
CBCC
>
Official Documents
>
2000's
>
2006
>
2006-193E.
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
1/31/2017 9:35:18 AM
Creation date
10/1/2015 12:15:07 AM
Metadata
Fields
Template:
Official Documents
Official Document Type
Plan
Approved Date
06/06/2006
Control Number
2006-193E.
Agenda Item Number
10.A.
Entity Name
Geographic Technologies Group, Geographic Information Systems
Subject
Three year implementation plan and assessments
Supplemental fields
SmeadsoftID
7369
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
32
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
John Bizelli - jbizellialeegov . com <br /> Amy Hoyf - hoytalCaleegov .com <br /> Courtney Sullivan - csullivanC�sullivan-ward . net <br /> Case Study courtesy of Lee County Human Services Department <br /> Epidemiology and GIS Prince William County Virginia Health Department <br /> 17. lip <br /> Epidemiology researchers can find clues to the spread of a disease as they study outbreaks <br /> of the disease through time, location , and groupings of people . In many cases , people with <br /> an illness belong to several groups such as family , school , church , and work . These groups <br /> are also identified by location . By mapping the location of various groups and looking at the <br /> presence of illness over time, it may be easier to identify the source of a disease and how it <br /> spreads . Knowing these factors can help doctors create a plan to halt the spread of disease . <br /> The maps shown here depict the spread of measles through Prince William County in 1988 . <br /> The locations of the patients by home address show a random pattern , while the plot by <br /> school shows obvious aggregations of cases . When viewed by two-week periods, the spread <br /> of the illness from school to school becomes apparent . In fact, during the outbreak it was <br /> possible to document dating patterns and sporting events that facilitated this spread . One of <br /> the control measures was halting certain sporting events . <br /> Using additional GIS data layers , researchers can look for possible links to diseases by <br /> comparing disease clusters with extremely hazardous substance site ( EHS ) facilities and their <br /> vulnerability zones . In cases of illness for gastroenteritis , clusters can be viewed and possibly <br /> identified with restaurants and other commonly frequented establishments. <br /> By implementing this analytical process with GIS , epidemiologists can identify, locate , and <br /> group illnesses with people, places , and activities; develop a plan ; and initiate control <br /> measures to halt the spread of disease . This kind of process was used in handling the <br /> potential threat of the West Nile virus and the outbreak of human encephalitis , which began <br /> in New York City in early August 1999 . <br /> 'Case Study Courtesy of ESRI Map Book Gallery Volume 16 <br /> 224 <br /> GIS Needs Assessment and Implementation Plan Chapter I - Departmental GIS Needs Assessment <br />
The URL can be used to link to this page
Your browser does not support the video tag.