How We Collect Data
Our team gathered two types of datasets: qualitative and quantitative data. Qualitative data was collected through surveys and interviews focused on the social aspects affecting individuals with Long COVID. The collected data was anonymized to protect the privacy of participants, with any identifying indicators removed. In addition, we collected quantitative data by performing web scraping and aggregating demographic data from Grant, Douglas, Okanogan, Lincoln, Ferry, Stevens, and Pend Oreille. These datasets were primarily obtained from the U.S. Census, the Washington State Department of Health, the Bureau of Labor Statistics, and the Pew Research Center. To ensure accuracy and consistency, we cleaned and normalized these datasets using Jupyter Notebook.
Data & Findings
Based on our extensive research, we have determined that approximately 90,000 Latinos may be suffering from Long COVID, representing approximately 9-10% of the total Latino population. Those with more severe hospitalized conditions have a higher probability of developing Long COVID. Individuals under 18 years of age have a lower probability of developing Long COVID, while those in older age groups have the highest probability. Our research also indicates that female Latinos have a relatively higher probability of developing Long COVID. Even among individuals who were not hospitalized, females have approximately 6% higher probability of experiencing Long COVID compared to males.
This bar chart breaks down the estimated Latino population for the counties that we track in Eastern Washington. This data was updated on 03/10/23 and is sourced from our API. The yellow portion of the chart represents the non-Latino population and the red portion represents the Latino population, in the given county. Hover over any of the bars to toggle a tooltip, and click on the 'Total Population' / 'Latino Population' portions of the key to filter the data to your liking. Please note these numbers are estimates.
This visualization shows the proportion of Latinos living in each county of the Eastern Washington State. The visualization reveals that there are significant number of Latinos living in Eastern Washington, and they are worth being considered, not to be underestimated.
This radial chart shows the income rates of Latinos by each county that we track. This data was updated 03/10/23, and is sourced from our API. Click on the blue drop down-button to choose the county you would like to examine. See the key for details about what the colors on the chart mean. Note that the vertical labels on the chart change dynamically according to the choice of county, to show the numbers as well as the proportion of Latinos in each income status. Please note these numbers are estimates.
The visualization shows the number of Latinos by incomes in each county of Eastern Washington. From the visualization, we can see decent proportion of Latinos have incomes less than $25,000 in many of the counties. For example, if we see the data from Okanogan, we see that 760 Latino people out of 2221 have income below $25,000, which is approximately 34.2%. From the visualization, we can see a decent proportion of Latinos in Eastern Washington currently have a low income status.
Visualization of Latino Incomes by County
Start seeing the visualization by selecting the county you would like to observe!
This bar chart breaks down the estimated Latino Hospitalized population and Non Hospitalized population for the different age and gender group that we track in Eastern Washington. This data was updated in 03/10/23 and is sourced from our Age API, Gender II. The yellow portion of the chart represents the hospitalized population and the red portion represents the non-hospitalized population in the given group. Hover over any of the bars to toggle a tooltip, and click on the 'Hospitalized' / 'Non Hospitalized' portions of the key to filter the data to your liking. Please note these numbers are estimates.
It is notable that the 18-49 age group had a higher likelihood of hospitalization than other age groups. Additionally, females were more likely to be hospitalized than males. These visualizations suggest that working-age groups are more vulnerable to hospitalization, which may result in an increased economic burden. Also, they support our thesis statement that Latino communities encounter a shortage of medical resources, irrespective of age or gender.