Evidence map›Paper›PMID 35474345›Full record

ArticleJournal of exposure science & environmental epidemiology2022

ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS.

Jonathon Fleming, Skylar W Marvel, Stacy Supak, Alison A Motsinger-Reif, David M Reif

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Decision support system forFrontiers in plant science · 2025
    Article
  2. Article
  3. Guided optimization of ToxPi model weights using a Semi-Automated approach.Computational toxicology (Amsterdam, Netherlands) · 2024
    Article
  4. Review
  5. Effect of climate change onFrontiers in plant science · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jonathon FlemingBioinformatics Research Center, Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
Skylar W MarvelBioinformatics Research Center, Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
Stacy SupakCenter for Geospatial Analytics, College of Natural Resources, North Carolina State University, Raleigh, NC, USA.
Alison A Motsinger-ReifBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
David M ReifBioinformatics Research Center, Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA. dmreif@ncsu.edu.

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
COVID-19 Pandemic VulnerabilityZIAES103352 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2020 to 2023
$2.9M
Gene-Environment Interactions Causing Differential Susceptibility to Chemical Exposure in High-Throughput ScreeningR56ES030007 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI REIF, DAVID M · 2019 to 2019
$225k
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R56 ES030007
6 · The paper itself

Abstract

backgroundPresenting a comprehensive picture of geographic data comprising multiple factors is an inherently integrative undertaking. Visualizing such data in an interactive form is essential for public sharing and geographic information systems (GIS) analysis. The Toxicological Prioritization Index (ToxPi) framework offers a visual analytic integrating data that is compatible with geographic data. ArcGIS is a predominant geospatial software available for presenting and communicating geographic data, yet to our knowledge there is no methodology for integrating ToxPi profiles into ArcGIS maps.

objectiveWe introduce an actively developed suite of software, the ToxPi*GIS Toolkit, for creating, viewing, sharing, and analyzing interactive ToxPi profiles in ArcGIS to allow for new GIS analysis and an avenue for providing geospatial results to the public.

methodsThe ToxPi*GIS Toolkit is a collection of methods for creating interactive feature layers that contain ToxPi profiles. It currently includes an ArcGIS Toolbox (ToxPiToolbox.tbx) for drawing location-specific ToxPi profiles in a single feature layer, a collection of modular Python scripts that create predesigned layer files containing ToxPi feature layers from the command line, and a collection of Python routines for useful data manipulation and preprocessing. We present workflows documenting ToxPi feature layer creation, sharing, and embedding for both novice and advanced users looking for additional customizability.

resultsMap visualizations created with the ToxPi*GIS Toolkit can be made freely available on public URLs, allowing users without ArcGIS Pro access or expertise to view and interact with them. Novice users with ArcGIS Pro access can create de novo custom maps, and advanced users can exploit additional customization options. The ArcGIS Toolbox provides a simple means for generating ToxPi feature layers. We illustrate its usage with current COVID-19 data to compare drivers of pandemic vulnerability in counties across the United States. SIGNIFICANCE: The integration of ToxPi profiles with ArcGIS provides new avenues for geospatial analysis, visualization, and public sharing of multi-factor data. This allows for comparison of data across a region, which can support decisions that help address issues such as disease prevention, environmental health, natural disaster prevention, chemical risk, and many others. Development of new features, which will advance the interests of the scientific community in many fields, is ongoing for the ToxPi*GIS Toolkit, which can be accessed from www.toxpi.org .

Indexed as

COVID-19Geographic Information SystemsHumansData integrationGeographic information systemsVisual analytics

Identifiers

PMID35474345
PMCPMC9039976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.