Tag Archives: Health

Mapping Disasters

By Colette Hochstein (NLM)

On October 12th, 2017, the National Library of Medicine Disaster Information Management Research Center (DIMRC) collaborated with Community Health Maps (CHM) to host a webinar focused on using mapping tools during disasters. The meeting was attended by 128 professionals, including first responders and receivers, emergency planners, and public health librarians, many of whom are involved, directly and indirectly, with disaster relief efforts.

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DIMRC provides access to health information resources and technology for disaster preparedness, response, and recovery; CHM provides users with information and training on low-cost mapping tools that can be used to collect data related to health hazards in communities, including during disasters. Many community-based organizations can better serve their constituents when they are able to collect and maintain their own data; CHM seeks to provide them with the training and tools needed to carry out cost effective and scalable mapping.

After the basic premise of CHM was explained to webinar attendees, several case studies illustrating the different applications of CHM were detailed. One took place in Seattle, Washington and centered on mapping noise pollution in different neighborhoods. The primary focus of this case study was to provide useful insight into the public health concern of noise pollution, which has been linked to various health conditions. Other goals included offering recommendations on the scalability of the Urban Indian Health Organization (UIHO) network and measuring and testing the usability of the CHM GPS/GIS workflow.

Another study described how CHM was used to map “King Tides” in Miami, Florida, and was CHM’s first opportunity to work in the field with users of its workflow. The goal was to communicate health risks associated with the 2017 King Tides during their highest activity, and to demonstrate how the flooding affects local communities. It was also a good test case of successfully using the tools in challenging field conditions.

Overall, the webinar provided the audience with information on the resources offered by CHM and demonstrated how different populations and communities, such as communities affected by disasters, can use CHM to collect and interpret their own data. You can watch the webinar by clicking on this link.

Visualizing an Intervention for Tobacco Control

Submitted by Jennifer Rewolinski

Dr. Heckman, an assistant professor of psychiatry and behavioral sciences at the Medical University of South Carolina (MUSC) in Charleston, used Community Health Maps (CHM) tools in his research on tobacco control. Smoking is the leading preventable cause of death worldwide and costs the US $130 billion in direct medical costs annually. Smoking is still a major public health issue that influences mortality, morbidity, healthcare costs, the environment, and quality of life.

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Dr. Bryan Heckman

The outcome of Dr. Heckman’s precision medicine project will be a mobile app that aids smokers who recently quit by alerting them of proximity to stores which sell cigarettes or alternative nicotine products. Studies show that greater tobacco retailer density is associated with greater incidence of relapse; Dr. Heckman believes that mapping provides a new approach to visualizing environmental factors. A CHM training event at MUSC spurred his decision to integrate mapping into his own work using the CHM labs as a guide. These labs provide step-by-step instructions for implementing the CHM workflow. He used the data collection app Fulcrum on an iPhone to collect information on retailers: GPS coordinates, type, type of tobacco products sold, e-cigarette advertising, and photos. His team also used a high-powered Trimble GPS device to test accuracy of phone GPS, and the accuracy of phone GPS was adequate and more cost effective than more expensive GPS devices.

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Figure 1. Dr. Heckman’s in progress map shows higher numbers of tobacco retailers are associated with  Census Tracts that have both higher poverty and a higher percentage of minority populations.

Dr. Heckman integrated his Fulcrum data into QGIS software. He added national datasets from the American Community Survey and Behavior Risk Factor Surveillance System for Census tract data, and Synar for retailer data to check the validity of the Fulcrum data; field data collection with Fulcrum revealed a more accurate list of current retailers than the national secondary datasets provided. Dr. Heckman believes QGIS is a powerful tool with many features; he was not only able to use QGIS to monitor and visualize his research questions but also to guide his project decisions and hypotheses. His results will guide policy recommendations, improve access to care, and deliver novel interventions.

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Figure 2. Dr. Heckman’s in progress map shows higher numbers of tobacco retailers are associated with Census Tracts with higher percentages of minority populations.

For those attempting to undertake a health GIS project on their own, Dr. Heckman emphasized that all the tools needed are provided on the CHM blog; only time and patience are required. He also recommends asking for help and reaching out to other CHM users who have experience. Dr. Heckman’s project has the potential to affect behavior change and reduce health disparities via a mobile intervention app which identifies nearby tobacco retailers and prompts and provides an intervention and awareness of a health issue. Dr. Heckman’s experience is an example of how the CHM blog and tools might be used.

Dr. Heckman would like to thank Kurt Menke and the CHM team, Dr. Williamson from MUSC, and his mentors for inspiration and growth. He would also like to acknowledge the Hollings Cancer Center and American Cancer Society Institutional Research Grant that helps support his work, and Alex Hirsch for his help coordinating the project.

The CHM team would like to extend their own gratitude to Dr. Heckman as they sincerely appreciate his time and his support of the CHM blog.

Community Health Maps Survey

If you’ve followed this blog, you know that  the goal of the Community Health Maps initiative is to help community organizations identify and apply low-cost and easy-to-use online mapping tools (GIS). If you are a first time visitor to this site we encourage you to peruse the blog entries.

The purpose of these tools is to improve understanding and visualization of health conditions in the community so that attention might be best directed to reduce health disparities. This site is a collaborative effort between the National Library of Medicine, the Center for Public Service Communications, and Bird’s Eye View.

To help advance this mission we have developed a survey.  The goal of this survey is to assess community health organizations’ satisfaction with GIS / mapping resources currently available to them.  The information will be used to improve NLM’s Community Health Maps site and tailor it to specific user requirements.

You are encouraged to click the link below and take this brief survey.

https://www.surveymonkey.com/s/NLM_GIS

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