Mapping Preterm Birth Patterns by Geography

 

What would it look like if a free and easy-to-use platform was available that mapped preterm birth patterns by geography? 

 

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Mapping Preterm Birth Outcomes

We were thrilled to partner with UC San Diego and Qualcomm Institute (QI) to created an interactive map of preterm births and potential environmental and social drivers across Fresno County in Central California and the Bay Area. 

Fresno Mapping Tool

Bay Area Mapping Tool

Under study lead Marta Jankowska, research analyst Jessica Block and postdoctoral scholar Jiue-An Yang, all at QI, the team worked closely with the respective communities, including mothers who had given birth prematurely, to identify possible causes. Their finished product is an interactive, online mapping tool that provides the public and policymakers with visualizations of neighborhoods with low to high rates of preterm birth, compared to stressors in the surrounding area. 

At the direction of PTBi and partners in the local community, the QI team examined state-provided data on preterm birth rates in each geography and open-source data of potential drivers in the natural and manmade environment. Possible drivers included the availability of health care and insurance coverage, demographic and socioeconomic factors, pollution, health risks, food environment and environmental features like open space or access to parks.

 

Mapping tool

 

The research in Fresno has already highlighted some interesting trends. In a study published with the Journal of Epidemiological Research in fall 2018, PTBi researchers found that black women and women with infections, hypertension, diabetes, previous preterm deliveries or fewer than six months between pregnancies had a higher risk of delivering prematurely, regardless of where they lived. Conversely, women who accessed prenatal health care more frequently and who participated in the Women, Infants, and Children Program (WIC) were less likely to give birth prematurely.

Watch a Training on How to Use the Mapping Tool

A Picture Paints a Thousand Data Points: Inspiring Bay Area Health Improvement Through Data Visualization

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“Geospatial exploratory data analysis is a really useful toolset that could help researchers and stakeholders study preterm birth. We hope that being able to visualize patterns through this user-friendly interactive site will support the Fresno community’s understanding of what might drive preterm births, and take action.”

- Marta Jankowska, Principal Investigator pictured in orange. 

Marta Jankowska and community participants

Pictured: Mapping team with community participants

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