TY  - JOUR
AU  - Jankowska, Marta M.
AU  - Yang, Jiue-An
AU  - Block, Jessica
AU  - Baer, Rebecca J.
AU  - Jelliffe-Pawlowski, Laura L.
AU  - Flores, Sandra
AU  - Pacheco-Warner, Tania
AU  - Costantino, Amber
AU  - Fuchs, Jonathan
AU  - Chambers, Christina D.
AU  - Newel, Gail
PY  - 2019
TI  - An Online Geographic Data Visualization Tool to Relate Preterm Births to Environmental Factors
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E102
VL  - 16
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - 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.
SN  - 1545-1151
UR  - https://doi.org/10.5888/pcd16.180498
DO  - 10.5888/pcd16.180498
ER  - 
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