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The Resource Geographic information systems and public health : eliminating perinatal disparity, [edited by] Andrew Curtis, Michael Leitner

Geographic information systems and public health : eliminating perinatal disparity, [edited by] Andrew Curtis, Michael Leitner

Label
Geographic information systems and public health : eliminating perinatal disparity
Title
Geographic information systems and public health
Title remainder
eliminating perinatal disparity
Statement of responsibility
[edited by] Andrew Curtis, Michael Leitner
Contributor
Subject
Language
eng
Summary
"This book provides an overview of why geography is important in the investigation of health, the importance of the main components of a GIS, how important neighborhood context is when using a GIS, and the general differences found between urban and rural health environments"--Provided by publisher
Cataloging source
DNLM/DLC
Dewey number
362.1/0285
Illustrations
  • illustrations
  • maps
Index
index present
LC call number
RA566
LC item number
.G462 2006
Literary form
non fiction
Nature of contents
bibliography
NLM call number
  • 2006 B-451
  • WS 16
NLM item number
C978g 2006
http://library.link/vocab/relatedWorkOrContributorDate
  • 1967-
  • 1965-
http://library.link/vocab/relatedWorkOrContributorName
  • Curtis, Andrew
  • Leitner, Michael
http://library.link/vocab/subjectName
  • Geographic information systems
  • Public health
  • Geographic Information Systems
  • Infant Mortality
  • Community Health Planning
  • Pregnancy, High-Risk
  • Geographic information systems
  • Public health
Label
Geographic information systems and public health : eliminating perinatal disparity, [edited by] Andrew Curtis, Michael Leitner
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction : why write this book? -- Explaining the geography of infant health -- Geographic variations in infant health -- Smoking is bad -- What does it mean to be poor? -- Stress -- The geography of health -- An introduction to GIS (all things data) -- Data input -- Health data -- Confidentiality issues -- Address matching/geocoding -- Other useful data 1 : socioeconomic data -- Other useful data 2 : boundary and background data -- Data manipulation -- Aggregating into spatial units -- Data reduction -- Creating new data -- Improving health outcome information-- Perinatal periods of risks (PPOR) -- An Introduction to GIS (All things spatial) -- Visualizing the data -- Choropleth map -- Common dot map -- Isarithmic (isoline) map -- Proportional (graduated) point symbol map -- Spatial analysis -- CrimeStatTM-- GeoDaTM -- Geographically weighted regression (GWR) -- SaTScanTM -- GIS as a management information system -- What is a neighborhood? -- Including geography in the analysis -- Holistic neighborhood investigations -- Spatially synthesizing previous research -- The geography of health risks infant deaths, low birth weight and short gestation deliveries -- Medical risks -- Behavioral risks -- So what can we do with GIS? -- Cohort or social risks -- Social risks : disparities in African American neighborhoods -- Spatial cohort -- Neighborhood risks -- Suffer the children -- Environmental risks -- GIS analyses of environmental risks -- GIS, cancer and low birth weight research in Louisiana -- Cancer and birth outcome co-investigation template -- Summarizing it all : the relationship between risk and stress -- So what can be done? -- GIS and spatial analysis, keeping it simple -- Exploratory analysis vs. hypothesis testing -- Spatial design -- Spatial sampling -- Aggregation effects -- Three simple techniques : overlay, density and a difference of proportions test -- Overlay as analysis -- A cautionary tale -- Density analysis -- Difference of proportions test -- Results for year one (table 5:1) -- Results for year two (table 5:2) -- Results for year three (table 5:3) -- Under 18 pregnancies (table 5:4) -- Advanced spatial analysis spatial autocorrelation (SA) -- Global spatial autocorrelation -- Local spatial autocorrelation -- Cluster analysis -- Clustering techniques -- Spatial filtering (DMAP) -- Nearest neighbor hierarchical clustering (NNHC) -- Kernel density estimation -- Infant mortality and prenatal risks : the dase of East Baton Rouge parish -- Regressing selected prenatal risk factors on the infant mortality rate -- Regression diagnostics -- Geographically weighted regression -- Spatial/temporal stability in neighborhoods of risk : the mobility of mothers -- How far do the mothers move? -- Temporal stability and implications for outreach -- Developing a neighborhood categorization scheme based on temporal stability -- Constructing neighborhoods around mortality locations -- Temporal stability in risks around infant deaths -- Temporal stability in a global risk investigation -- Temporal stability in the four neighborhoods -- Results from the difference of proportions t-test -- Conclusions on temporal stability -- Patient sonfidentiality -- Confidentiality in maps -- Statistical (attribute) confidentiality -- Spatial (locational) confidentiality -- U.S. Department of Health and Human Services -- U.S. Census -- U.S. Department of Justice -- Geographically masking the location of confidential point data -- Results for global geographic masking -- Results for local geographic masking -- Preserving spatial confidentiality of two locally masked point patterns -- Creating the Baton Rouge Healthy Start GIS -- Beginnings -- Determining the program area -- Identifying areas with no prenatal care -- Neighborhood profiling -- Creating the database -- Data input -- Reaching out -- Post script -- Bioterrorism, pregnancy and old white men-- Vulnerability in the US -- Bioterrorism and pregnancy risk -- GIS and vulnerability mapping -- Identifying the vulnerable -- So how do we bring Healthy Start into this? -- Are pregnant women really vulnerable? -- Criticisms of syndromic surveillance -- Rural health issues and their investigation in a GIS environment -- Introduction -- The complexity of rurality -- Rural places and health -- An overview of some rural health issues -- Rural geography and dealing with rural data -- Conclusion
Control code
61334525
Dimensions
27 cm
Extent
xxi, 317 pages
Isbn
9781591406099
Isbn Type
(softcover)
Lccn
2005023873
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations, maps
System control number
(OCoLC)61334525
Label
Geographic information systems and public health : eliminating perinatal disparity, [edited by] Andrew Curtis, Michael Leitner
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction : why write this book? -- Explaining the geography of infant health -- Geographic variations in infant health -- Smoking is bad -- What does it mean to be poor? -- Stress -- The geography of health -- An introduction to GIS (all things data) -- Data input -- Health data -- Confidentiality issues -- Address matching/geocoding -- Other useful data 1 : socioeconomic data -- Other useful data 2 : boundary and background data -- Data manipulation -- Aggregating into spatial units -- Data reduction -- Creating new data -- Improving health outcome information-- Perinatal periods of risks (PPOR) -- An Introduction to GIS (All things spatial) -- Visualizing the data -- Choropleth map -- Common dot map -- Isarithmic (isoline) map -- Proportional (graduated) point symbol map -- Spatial analysis -- CrimeStatTM-- GeoDaTM -- Geographically weighted regression (GWR) -- SaTScanTM -- GIS as a management information system -- What is a neighborhood? -- Including geography in the analysis -- Holistic neighborhood investigations -- Spatially synthesizing previous research -- The geography of health risks infant deaths, low birth weight and short gestation deliveries -- Medical risks -- Behavioral risks -- So what can we do with GIS? -- Cohort or social risks -- Social risks : disparities in African American neighborhoods -- Spatial cohort -- Neighborhood risks -- Suffer the children -- Environmental risks -- GIS analyses of environmental risks -- GIS, cancer and low birth weight research in Louisiana -- Cancer and birth outcome co-investigation template -- Summarizing it all : the relationship between risk and stress -- So what can be done? -- GIS and spatial analysis, keeping it simple -- Exploratory analysis vs. hypothesis testing -- Spatial design -- Spatial sampling -- Aggregation effects -- Three simple techniques : overlay, density and a difference of proportions test -- Overlay as analysis -- A cautionary tale -- Density analysis -- Difference of proportions test -- Results for year one (table 5:1) -- Results for year two (table 5:2) -- Results for year three (table 5:3) -- Under 18 pregnancies (table 5:4) -- Advanced spatial analysis spatial autocorrelation (SA) -- Global spatial autocorrelation -- Local spatial autocorrelation -- Cluster analysis -- Clustering techniques -- Spatial filtering (DMAP) -- Nearest neighbor hierarchical clustering (NNHC) -- Kernel density estimation -- Infant mortality and prenatal risks : the dase of East Baton Rouge parish -- Regressing selected prenatal risk factors on the infant mortality rate -- Regression diagnostics -- Geographically weighted regression -- Spatial/temporal stability in neighborhoods of risk : the mobility of mothers -- How far do the mothers move? -- Temporal stability and implications for outreach -- Developing a neighborhood categorization scheme based on temporal stability -- Constructing neighborhoods around mortality locations -- Temporal stability in risks around infant deaths -- Temporal stability in a global risk investigation -- Temporal stability in the four neighborhoods -- Results from the difference of proportions t-test -- Conclusions on temporal stability -- Patient sonfidentiality -- Confidentiality in maps -- Statistical (attribute) confidentiality -- Spatial (locational) confidentiality -- U.S. Department of Health and Human Services -- U.S. Census -- U.S. Department of Justice -- Geographically masking the location of confidential point data -- Results for global geographic masking -- Results for local geographic masking -- Preserving spatial confidentiality of two locally masked point patterns -- Creating the Baton Rouge Healthy Start GIS -- Beginnings -- Determining the program area -- Identifying areas with no prenatal care -- Neighborhood profiling -- Creating the database -- Data input -- Reaching out -- Post script -- Bioterrorism, pregnancy and old white men-- Vulnerability in the US -- Bioterrorism and pregnancy risk -- GIS and vulnerability mapping -- Identifying the vulnerable -- So how do we bring Healthy Start into this? -- Are pregnant women really vulnerable? -- Criticisms of syndromic surveillance -- Rural health issues and their investigation in a GIS environment -- Introduction -- The complexity of rurality -- Rural places and health -- An overview of some rural health issues -- Rural geography and dealing with rural data -- Conclusion
Control code
61334525
Dimensions
27 cm
Extent
xxi, 317 pages
Isbn
9781591406099
Isbn Type
(softcover)
Lccn
2005023873
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations, maps
System control number
(OCoLC)61334525

Library Locations

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      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
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