LionVu 2.0 Usability Assessment for Pennsylvania, United States

Geyer, Nathaniel R.; Kessler, Fritz C.; Lengerich, Eugene J.

doi:10.3390/ijgi9110619

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…Since ArcGIS Online is proprietary, we found that moving to a HIPAA-protected server a payment is necessary, and it was challenging to add newer data to the tool. In response, LionVu was redesigned using Leaflet JavaScript, and a usability assessment was completed [ 12 ]. Leaflet uses the Web Mercator projection, which is based on WGS84 and remains the de facto projection for web mapping applications [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area

Geyer

Lengerich

2023

Geographies

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In 2018, the Penn State Cancer Institute developed LionVu, a web mapping tool to educate and inform community health professionals about the cancer burden in Pennsylvania and its catchment area of 28 counties in central Pennsylvania. LionVu, redesigned in 2023, uses several open-source JavaScript libraries (i.e., Leaflet, jQuery, Chroma, Geostats, DataTables, and ApexChart) to allow public health researchers the ability to map, download, and chart 21 publicly available datasets for clinical, educational, and epidemiological audiences. County and census tract data used in choropleth maps were all downloaded from the sources website and linked to Pennsylvania and catchment area county and census tract geographies, using a QGIS plugin and Leaflet JavaScript. Two LionVu demonstrations are presented, and 10 other public health related web-GIS applications are reviewed. LionVu fills a role in the public health community by allowing clinical, educational, and epidemiological audiences the ability to visualize and utilize health data at various levels of aggregation and geographical scales (i.e., county, or census tracts). Also, LionVu is a novel application that can translate and can be used, for mapping and graphing purposes. A dialog to demonstrate the potential value of web-based GIS to a wider audience, in the public health research community, is needed.

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Section: Introductionmentioning

confidence: 99%

LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area

Geyer

Lengerich

2023

Geographies

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Investigating the relationship between spatial skills and web mapping application performance among university students

Tomai

Kokla

Charcharos

et al. 2023

Cartography and Geographic Information Science

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Patterns of Cancer-Related Healthcare Access across Pennsylvania: Analysis of Novel Census Tract-Level Indicators of Persistent Poverty

Moss,

Geyer,

Lengerich

2024

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background. Persistent poverty census tracts have had ≥20% of the population living below the federal poverty line for 30+ years. We assessed the relationship between persistent poverty and cancer-related healthcare access across census tracts in Pennsylvania. Methods. We gathered publicly-available census tract-level data on persistent poverty, rurality, and sociodemographic variables, as well as potential access to healthcare (i.e., prevalence of health insurance, last-year check-up), realized access to healthcare (i.e., prevalence of screening for cervical, breast, and colorectal cancers), and self-reported cancer diagnosis. We used multivariable spatial regression models to assess the relationships between persistent poverty and each healthcare access indicator. Results. Among Pennsylvania’s census tracts, 2,789 (89.8%) were classified as non-persistent poverty, and 316 (10.2%) were classified as persistent poverty (113 did not have valid data on persistent poverty). Persistent poverty tracts had lower prevalence of health insurance (estimate=-1.70, standard error [SE]=0.10), screening for cervical cancer (estimate=-4.00, SE=0.17) and colorectal cancer (estimate=-3.13, SE=0.20), and cancer diagnosis (estimate=-0.34, SE=0.05), compared to non-persistent poverty tracts (all p<.001). However, persistent poverty tracts had higher prevalence of last-year check-up (estimate=0.22, SE=0.08) and screening for breast cancer (estimate=0.56, SE=0.15) (both p<.01). Conclusions. Relationships between persistent poverty and cancer-related healthcare access outcomes differed in direction and magnitude. Health promotion interventions should leverage data at fine-grained geographic units (e.g., census tracts) to motivate focus on communities or outcomes. Impact. Future studies should extend these analyses to other states and outcomes to inform public health research and interventions to reduce geographic disparities.

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LionVu 2.0 Usability Assessment for Pennsylvania, United States

Cited by 3 publications

References 23 publications

LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area

LionVu: A Data-Driven Geographical Web-GIS Tool for Community Health and Decision-Making in a Catchment Area

Investigating the relationship between spatial skills and web mapping application performance among university students

Patterns of Cancer-Related Healthcare Access across Pennsylvania: Analysis of Novel Census Tract-Level Indicators of Persistent Poverty

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