Jeff Wilson

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https://hdl.handle.net/1805/6824

Jeff Wilson, Department of Geography in the IU School of Liberal Arts, focuses his translational work in environmental planning and management at both the state and local levels. The Greenways research project provides data regarding the use of public trails using infared monitors in the most comprehensive trail monitoring system in the United States. Using models to estimate traffic on proposed trails, practitioners can design cost effective trails and estimate safety improvements such as additional stop lights.

This research has also provided data indicating property values on or near trails actually increases contradicting a publicly held belief that trails are bad for local neighborhoods. This translational research effort has received national attention from the Robert Wood Johnson Foundation which is interested in the correlation between obesity, public health and urban design.

The Greenway project is another example of how IUPUI's faculty are TRANSLATING their RESEARCH INTO PRACTICE.

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Now showing 1 - 10 of 34

Socioeconomic indicators of heat-related health risk supplemented with remotely sensed data
(2009-10-16) Johnson, Daniel P.; Wilson, Jeffrey S.; Luber, George C.
Background: Extreme heat events are the number one cause of weather-related fatalities in the United States. The current system of alert for extreme heat events does not take into account intra-urban spatial variation in risk. The purpose of this study is to evaluate a potential method to improve spatial delineation of risk from extreme heat events in urban environments by integrating sociodemographic risk factors with estimates of land surface temperature derived from thermal remote sensing data. Results: Comparison of logistic regression models indicates that supplementing known sociodemographic risk factors with remote sensing estimates of land surface temperature improves the delineation of intra-urban variations in risk from extreme heat events. Conclusion: Thermal remote sensing data can be utilized to improve understanding of intra-urban variations in risk from extreme heat. The refinement of current risk assessment systems could increase the likelihood of survival during extreme heat events and assist emergency personnel in the delivery of vital resources during such disasters.
Valuing the Benefits of the Urban Forest: A Spatial Hedonic Approach
(2008-11) Payton, Seth; Lindsey, Greg; Wilson, Jeffrey S.; Ottensmann, John R.; Man, Joyce
This paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. Planners and urban foresters can use these findings to inform public and policy debates over urban forestry programs and proposals.
Adolescent Health-Risk Behavior and Community Disorder
(2013-11) Wiehe, Sarah E.; Kwan, Mei-Po; Wilson, Jeffrey S.; Fortenberry, J. Dennis
Background Various forms of community disorder are associated with health outcomes but little is known about how dynamic context where an adolescent spends time relates to her health-related behaviors. Objective Assess whether exposure to contexts associated with crime (as a marker of community disorder) correlates with self-reported health-related behaviors among adolescent girls. Methods Girls (N = 52), aged 14–17, were recruited from a single geographic urban area and monitored for 1 week using a GPS-enabled cell phone. Adolescents completed an audio computer-assisted self-administered interview survey on substance use (cigarette, alcohol, or marijuana use) and sexual intercourse in the last 30 days. In addition to recorded home and school address, phones transmitted location data every 5 minutes (path points). Using ArcGIS, we defined community disorder as aggregated point-level Unified Crime Report data within a 200-meter Euclidian buffer from home, school and each path point. Using Stata, we analyzed how exposures to areas of higher crime prevalence differed among girls who reported each behavior or not. Results Participants lived and spent time in areas with variable crime prevalence within 200 meters of their home, school and path points. Significant differences in exposure occurred based on home location among girls who reported any substance use or not (p 0.04) and sexual intercourse or not (p 0.01). Differences in exposure by school and path points were only significant among girls reporting any substance use or not (p 0.03 and 0.02, respectively). Exposure also varied by school/non-school day as well as time of day. Conclusions Adolescent travel patterns are not random. Furthermore, the crime context where an adolescent spends time relates to her health-related behavior. These data may guide policy relating to crime control and inform time- and space-specific interventions to improve adolescent health.
Using GPS-enabled cell phones to track the travel patterns of adolescents
(2009-05) Wiehe, Sarah E.; Carroll, Aaron E.; Liu, Gilbert C.; Haberkorn, Kelly L.; Hoch, Shawn C.; Wilson, Jeffrey S.; Fortenberry, J. Dennis
Background Few tools exist to directly measure the microsocial and physical environments of adolescents in circumstances where participatory observation is not practical or ethical. Yet measuring these environments is important as they are significantly associated with adolescent health-risk. For example, health-related behaviors such as cigarette smoking often occur in specific places where smoking may be relatively surreptitious. Results We assessed the feasibility of using GPS-enabled cell phones to track adolescent travel patterns and gather daily diary data. We enrolled 15 adolescent women from a clinic-based setting and asked them to carry the phones for 1 week. We found that these phones can accurately and reliably track participant locations, as well as record diary information on adolescent behaviors. Participants had variable paths extending beyond their immediate neighborhoods, and denied that GPS-tracking influenced their activity. Conclusion GPS-enabled cell phones offer a feasible and, in many ways, ideal modality of monitoring the location and travel patterns of adolescents. In addition, cell phones allow space- and time-specific interaction, probing, and intervention which significantly extends both research and health promotion beyond a clinical setting. Future studies can employ GPS-enabled cell phones to better understand adolescent environments, how they are associated with health-risk behaviors, and perhaps intervene to change health behavior.
ACCESS TO SERVICES FOR THE HOMELESS
(Office of the Vice Chancellor for Research, 2012-04-13) Bozzo, Anthony; Wilson, Jeffrey S.
My project is based on research done in the anthropology and geography departments by myself, Dr. Zimmerman and Courtney Singleton pertaining to homeless encampments in Indianapolis. This poster presentation illustrates locations of selected encampments and their access to service providers. Geographic information system (GIS) technologies were used to conduct a network analysis that visually shows access to services and quantifies travel time and network distance to selected service locations. The analysis presented is based on data collected by my colleagues from subjects in one specific camp describing preferred travel routes, distances traveled and services needed- prescription medication for example. I plan to apply this analytical method to other encampments to create a model of hypothetical routes based upon tow paths, walking trails and street networks.
Lower provider volume is associated with higher failure rates for endoscopic retrograde cholangiopancreatography
(Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins, 2013-12) Coté, Gregory A.; Imler, Timothy D.; Xu, Huiping; Teal, Evgenia; French, Dustin D.; Imperiale, Thomas F.; Rosenman, Marc B.; Wilson, Jeffrey S.; Hui, Siu L.; Sherman, Stuart; Department of Medicine, IU School of Medicine
BACKGROUND: Among physicians who perform endoscopic retrograde cholangiopancreatography (ERCP), the relationship between procedure volume and outcome is unknown. OBJECTIVE: Quantify the ERCP volume-outcome relationship by measuring provider-specific failure rates, hospitalization rates, and other quality measures. RESEARCH DESIGN: Retrospective cohort. SUBJECTS: A total of 16,968 ERCPs performed by 130 physicians between 2001 and 2011, identified in the Indiana Network for Patient Care. MEASURES: Physicians were classified by their average annual Indiana Network for Patient Care volume and stratified into low (<25/y) and high (≥25/y). Outcomes included failed procedures, defined as repeat ERCP, percutaneous transhepatic cholangiography or surgical exploration of the bile duct≤7 days after the index procedure, hospitalization rates, and 30-day mortality. RESULTS: Among 15,514 index ERCPs, there were 1163 (7.5%) failures; the failure rate was higher among low (9.5%) compared with high volume (5.7%) providers (P<0.001). A second ERCP within 7 days (a subgroup of failure rate) occurred more frequently when the original ERCP was performed by a low-volume (4.1%) versus a high-volume physician (2.3%, P=0.013). Patients were more frequently hospitalized within 24 hours when the ERCP was performed by a low-volume (28.3%) versus high-volume physician (14.8%, P=0.002). Mortality within 30 days was similar (low=1.9%, high=1.9%). Among low-volume physicians and after adjusting, the odds of having a failed procedure decreased 3.3% (95% confidence interval, 1.6%-5.0%, P<0.001) with each additional ERCP performed per year. CONCLUSIONS: Lower provider volume is associated with higher failure rate for ERCP, and greater need for postprocedure hospitalization.
Relocating Bike-Kiosks to Maximize Ridership – A Weighted Matching Optimization Problem
(Office of the Vice Chancellor for Research, 2016-04-08) Banerjee, Aniruddha; Lulla, Vijay; Wilson, Jeffrey S.; Troped, Philip
Bike share infrastructure can benefit from optimized allocation of resources, such as bike share stations or kiosks that have relatively high capital costs. Suboptimal placement of stations increases the cost of service and may impede membership. If impedances like distance to kiosk is high then ridership may decrease thereby not allowing the system to reach its full potential. Currently, the 25 bike-share stations managed by the non-profit Indiana Pacers Bikeshare program are located around the Indianapolis downtown area and the Indianapolis Cultural Trail. We developed a weighted matching solution to minimize the distance potential users must travel to reach a kiosk while taking into account the pairing of existing kiosks with new locations. We also provide a model to introduce several new locations that restricts maximum distance traveled by customers to the nearest kiosk. For both, we apply integer programming heuristics to solve the optimization problem – an NP hard problem. NP hard problems are computationally prohibitive and require specialized mathematical programming for robust solutions. Analyses show that 20 optimally located kiosks will serve the 25 existing kiosks clientele without any increase in impedance to kiosk access – a 20 percent increase in efficiency.
Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)
(JMIR, 2016) Priest, Chad; Knopf, Amelia; Groves, Doyle; Carpenter, Janet S.; Furrey, Christopher; Krishnan, Anand; Miller, Wendy R.; Otte, Julie L.; Palakal, Mathew; Wiehe, Sarah E.; Wilson, Jeffrey S.; IU School of Nursing
Background: The development of effective health care and public health interventions requires a comprehensive understanding of the perceptions, concerns, and stated needs of health care consumers and the public at large. Big datasets from social media and question-and-answer services provide insight into the public’s health concerns and priorities without the financial, temporal, and spatial encumbrances of more traditional community-engagement methods and may prove a useful starting point for public-engagement health research (infodemiology). Objective: The objective of our study was to describe user characteristics and health-related queries of the ChaCha question-and-answer platform, and discuss how these data may be used to better understand the perceptions, concerns, and stated needs of health care consumers and the public at large. Methods: We conducted a retrospective automated textual analysis of anonymous user-generated queries submitted to ChaCha between January 2009 and November 2012. A total of 2.004 billion queries were read, of which 3.50% (70,083,796/2,004,243,249) were missing 1 or more data fields, leaving 1.934 billion complete lines of data for these analyses. Results: Males and females submitted roughly equal numbers of health queries, but content differed by sex. Questions from females predominantly focused on pregnancy, menstruation, and vaginal health. Questions from males predominantly focused on body image, drug use, and sexuality. Adolescents aged 12–19 years submitted more queries than any other age group. Their queries were largely centered on sexual and reproductive health, and pregnancy in particular. Conclusions: The private nature of the ChaCha service provided a perfect environment for maximum frankness among users, especially among adolescents posing sensitive health questions. Adolescents’ sexual health queries reveal knowledge gaps with serious, lifelong consequences. The nature of questions to the service provides opportunities for rapid understanding of health concerns and may lead to development of more effective tailored interventions. [J Med Internet Res 2016;18(3):e44]
The Indiana Pacers Bikeshare Program – An Opportunity to Explore Research Questions in Geography, Transportation, and Public Health
(Office of the Vice Chancellor for Research, 2016-04-08) Lulla, Vijay; Wilson, Jeffrey S.; Banerjee, Aniruddha; Troped, Philip
The Indiana Pacers Bikeshare program is funded by the Herb and Simon Family Foundation and overseen by the Indianapolis Cultural Trail, Inc., (ICT) a non-profit organization which provides access to bikes for a small fee to travel around the Indianapolis downtown area. There are twenty six stations and 250 bikes collated across the Indianapolis downtown area. There are two ways of using the bikeshare: a 24-hour pass or an annual membership. A user is entitled to unlimited 30-minute rides during the duration of the pass or membership. Each bicycle is equipped with a GPS unit. B-Cycle, a company that handles the implementation of the bikeshare system, collects GPS data of trips when the bike is in motion. In collaboration with ICT, our research team has acquired data from initiation of the program in April 2014 to the end of 2015. The dataset is large with slightly over 13 million records. Our research team is planning, at least, four projects based on this dataset: evaluating associations between built environment and bike use patterns, estimating physical activity accumulated during bikeshare use, differences in use by different membership types, and optimal placement of existing stations and planning for expansion of new stations.
Spatial Integration of Community Data with Clinical Data in Support of Community Health Research and Practice
(Office of the Vice Chancellor for Research, 2011-04-08) Frederickson Comer, Karen; Wiehe, Sarah E.; Wilson, Jeffrey S.; Dixon, Brian E.; Grannis, Shaun
This poster will describe the recent integration of one of the nation’s largest health information exchanges, the Indiana Network for Patient Care developed by the Regenstrief Institute, with one of the nation’s most comprehensive community information system, the SAVI CIS developed by The Polis Center at IUPUI. Integrating community data that quantifies the social and physical environment with clinical data has great potential for supporting and advancing community health research and practice. Multi-sector collaboration on the development and evaluation of associated uses cases informed system integration is allowing spatially-aware research and practice to be more quickly realized.

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