Analyze

Built with toxicology knowledge

“The software used to generate PVI scores and profiles from these data is freely available at https://toxpi.org”

General visualization capabilities

“The interactive visualization within the PVI Dashboard is intended to communicate factors underlying vulnerability and empower community action [...] The visualization and quantification of county-level vulnerability indicators are displayed by a radar chart, where each of the 12 indicators comprises a “slice” of the overall PVI profile. On loading, the Dashboard displays the top 250 PVI profiles (by rank) for the current day. The data, PVI scores, and predictions are updated daily, and users can scroll through historical PVI and county outcome data. Individual profiles are an interactive map layer with numerous display options/filters that include sorting by overall score, filtering by combinations of slice scores, clustering by profile similarity (i.e. vulnerability “shape”), and searching for counties by name or state (Additional functionality is detailed in the Supplement). User selection of any county overlays the summary Scorecard and populates surrounding panels with county- specific information (Figure 1). The scrollable panels at left include plots of vulnerability drivers relative to the nation-wide distribution across all U.S. counties, with the location of the selected county delineated. The panels across the bottom of the Dashboard report cumulative county numbers of cases and deaths; timelines of cumulative cases, deaths, PVI score, and PVI rank; daily changes in cases and deaths for the most recent 14-day period (commonly used in reopening guidelines[6]; and predicted cases and deaths for a 7-day forecast horizon.”

Visualizing comparison and "peer counties"

“the multi-criteria filtering capabilities in the Dashboard were used to find a “peer county” for comparison. “

Source: https://ehp.niehs.nih.gov/doi/10.1289/EHP8690 and https://www.researchgate.net/publication/343642027_The_COVID-19_Pandemi…

我訪問到的阿嬤也有在高度人力密集的產業中工作過，如餐飲、紡織等等，反映了當代大環境中原民來到都市的處境。都市原民作為台灣產業發展的推手之一，卻無法擁有安身立命的家，而被迫在各處流浪，直到近代才開啟了與政府溝通的橋樑，卻依然有種種難題需要克服。

One of the only data visualizations this site offers is plotting down pinpoints on a map showing individual facilities. If there is more than one site in a certain geographical area then it will group the sites together and provide a circle for where the sites are contained with the number of sites listed on the circle. This makes this data resource not super flexible in ways it can display information. However this is a helpful visualization as it can quickly show you how many specific facilities a certain location may have

You can also generate simple graphs with the data that displays the amounts of certain facilities throughout the state. This is a good tool for tracking all regulated facilities which can help users address Ej on a statewide scale.

Published in May 2021, amid the coronavirus pandemic where in-person community workshops and meetings turned into weekly virtual meetings. 

-> Authors:

Shahir Masri: Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine; air pollution scientist.

Alana M. W. LeBrón: Department of Health, Society, and Behavior, University of California, Irvine; Assistant Professor, Chicano/Latino Studies; Interests: structural racism and health, health of Latina/o communities, community-based participatory research.

Michael D. Logue: Department of Chicano/Latino Studies, University of California, Irvine

Enrique Valencia: Orange County Environmental Justice, Santa Ana

Abel Ruiz: Jóvenes Cultivando Cambios, Santa Ana; CRECE Urban Farming Cooperative member

Abigail Reyes: Community Resilience, University of California, Irvine

Jun Wu: Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine

This article was published in 2022 in England. This is amid the coronavirus pandemic and after the populist influence of Trump’s fake news politics around the world. With populist leaders propagating their own version of post-truths in India, Russia, Turkey, and Brazil. These leaders have incited a new wave of climate change deniers while political conflicts and environmental vulnerabilities worsen worldwide. 

At the time of the article, Trump had defunded environmental protection and pulled the USA from the Paris agreement - although, since then, Biden has proposed other plans on environmental justice, and the US has rejoined the Paris agreement -, Brexit had threatened to derail  environmental regulation - still remains an issue -, and Brazil’s Bolsonaro had opened vast tracts of Amozonian forest for permanent exploitation - still remains an issue. 

Each federal state organization has the number of open datasets listed below them, and is also available to click on to discover those datasets.

The Student Health Index can produce visualizations that represent data on conditions, school characteristics and risk factors that affect education outcomes and could be improved through access to school-based health care. These visualizations can be used to demonstrate need for expanding school-based health care access in California.

In addition to maps, the index can also be used to generate graphs and visual displays of data (e.g. ratio of highest need schools to all schools, by county).

The visualizations can be used to demonstrate the correlations between final need scores and race, the impact of specific indicators in health, and the concentration of need to certain regions of California (hot spot analysis).

The index produces an overall score derived from 12 indicators distributed across four domains (current infection rates, baseline population concentration, current interventions, and health and environmental vulnerabilities. Each vulnerability factor is represented as a slide of a radar chart (see below).

The dashboard can also be used to visualize changes over time in cases, deaths, PVI, and PVI rank (with a line chart and a bar chart), as well as predicted changes in cases and deaths (with a line chart), see below.

Additional visual layers can be added to the PVI map (e.g. number of cases and deaths).