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An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors

Preterm birth (<37 weeks gestation) continues to be a significant cause of disease and death in the United States. Its complex causes are associated with several genetic, biological, environmental, and sociodemographic factors. Organizing and visualizing various data that may be related to preter...

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Autores principales: Jankowska, Marta M., Yang, Jiue-An, Block, Jessica, Baer, Rebecca J., Jelliffe-Pawlowski, Laura L., Flores, Sandra, Pacheco-Warner, Tania, Costantino, Amber, Fuchs, Jonathan, Chambers, Christina D., Newel, Gail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716387/
https://www.ncbi.nlm.nih.gov/pubmed/31400100
http://dx.doi.org/10.5888/pcd16.180498
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author Jankowska, Marta M.
Yang, Jiue-An
Block, Jessica
Baer, Rebecca J.
Jelliffe-Pawlowski, Laura L.
Flores, Sandra
Pacheco-Warner, Tania
Costantino, Amber
Fuchs, Jonathan
Chambers, Christina D.
Newel, Gail
author_facet Jankowska, Marta M.
Yang, Jiue-An
Block, Jessica
Baer, Rebecca J.
Jelliffe-Pawlowski, Laura L.
Flores, Sandra
Pacheco-Warner, Tania
Costantino, Amber
Fuchs, Jonathan
Chambers, Christina D.
Newel, Gail
author_sort Jankowska, Marta M.
collection PubMed
description Preterm birth (<37 weeks gestation) continues to be a significant cause of disease and death in the United States. Its complex causes are associated with several genetic, biological, environmental, and sociodemographic factors. Organizing and visualizing various data that may be related to preterm birth is an essential step for pattern exploration and hypothesis generation and presents an opportunity to increase public and stakeholder involvement. In this article, we describe a collaborative effort to create an online geographic data visualization tool using open software to explore preterm birth in Fresno County, where rates are the highest in California. The tool incorporates information on births, environmental exposures, sociodemographic characteristics, the built environment, and access to care. We describe data sets used to build the tool, the data-hosting platform, and the process used to engage stakeholders in its creation. We highlight an important example of how collaboration can increase the utility of geographic data visualization to improve public health and address health equity in birth outcomes.
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spelling pubmed-67163872019-09-06 An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors Jankowska, Marta M. Yang, Jiue-An Block, Jessica Baer, Rebecca J. Jelliffe-Pawlowski, Laura L. Flores, Sandra Pacheco-Warner, Tania Costantino, Amber Fuchs, Jonathan Chambers, Christina D. Newel, Gail Prev Chronic Dis Tools for Public Health Practice Preterm birth (<37 weeks gestation) continues to be a significant cause of disease and death in the United States. Its complex causes are associated with several genetic, biological, environmental, and sociodemographic factors. Organizing and visualizing various data that may be related to preterm birth is an essential step for pattern exploration and hypothesis generation and presents an opportunity to increase public and stakeholder involvement. In this article, we describe a collaborative effort to create an online geographic data visualization tool using open software to explore preterm birth in Fresno County, where rates are the highest in California. The tool incorporates information on births, environmental exposures, sociodemographic characteristics, the built environment, and access to care. We describe data sets used to build the tool, the data-hosting platform, and the process used to engage stakeholders in its creation. We highlight an important example of how collaboration can increase the utility of geographic data visualization to improve public health and address health equity in birth outcomes. Centers for Disease Control and Prevention 2019-08-08 /pmc/articles/PMC6716387/ /pubmed/31400100 http://dx.doi.org/10.5888/pcd16.180498 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Tools for Public Health Practice
Jankowska, Marta M.
Yang, Jiue-An
Block, Jessica
Baer, Rebecca J.
Jelliffe-Pawlowski, Laura L.
Flores, Sandra
Pacheco-Warner, Tania
Costantino, Amber
Fuchs, Jonathan
Chambers, Christina D.
Newel, Gail
An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title_full An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title_fullStr An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title_full_unstemmed An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title_short An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
title_sort online geographic data visualization tool to relate preterm births to environmental factors
topic Tools for Public Health Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716387/
https://www.ncbi.nlm.nih.gov/pubmed/31400100
http://dx.doi.org/10.5888/pcd16.180498
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