This page shows the datasets have been used to make this smart dashboard, and relevant literature we rest upon for understanding the risks of COVID-19 to workers in Washington State.

Data Source

Labor Force by County Snapshot

Washington state resident civilian labor force and employment. It is updated every month, and the last update is in October 2021.

Unemployment Insurance Claims and Benefits

Washington State Unemployment insurance claims and benefits data. It is updated every week, and the last update is in September 2020.

O*NET data arranged by Exposure to disease/infection at work

The work context which exposed to disease or infections. It is updated continuously, and the last update is in November 2021.

O*NET data arranged by Works in physical proximity at work

The data is about what extent the job require the worker to perform job tasks in close physical proximity to other people. It is updated continuously, and the last update is in November 2021.

Coronavirus Outbreak

The data is about coronavirus cases and deaths by week of illness onset, county, and age. It is updated every week, and the last update is in November 2021.

ACS Data

The data is about ACS 5-year estimates public use microdata sample for 2018. It is updated every week, and the last update is in November 2021.

External Tools and Libraries

  • Bootstrap
  • leaflet
  • c3
  • d3
  • simplebar
  • easy-button
  • font-awesome
  • jQuery
  • rbush
  • labelgun
  • topojson
  • tweepy
  • nltk, VADER
  • wordcloud

Reference

Contect

[1] Baker, M. G., Peckham, T. K., & Seixas, N. S. (2020) Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection. PLoS ONE, 15(4), doi: 10.1371/journal.pone.0232452.

[2] Hernandez, Daniela. Toy, Sarah. McKay, B. (2020) How Exactly Do You Catch Covid-19? There Is a Growing Consensus, The Wall Street Journal,retrieved August 1, 2020.

[3] Marcela Escobari, N. G. and D. G. (n.d.) Visualizing vulnerable jobs across America: A tool to understand your local economy and inform its recovery,Brookings,retrieved August 1, 2020.

[4] Rose-Redwood, R., Kitchin, R., Apostolopoulou, E., Rickards, L., Blackman, T., Crampton, J., Rossi, U., & Buckley, M. (2020) Geographies of the COVID-19 pandemic, Dialogues in Human Geography, 10(2), 97–106, doi: 10.1177/2043820620936050.

Methodology

[1] Cinnamon, J. (2020) Platform philanthropy, “public value”, and the COVID-19 pandemic moment. Dialogues in Human Geography, 10(2), 242–245, doi: 10.1177/2043820620933860.

[2] Everts, J. (2020) The dashboard pandemic. Dialogues in Human Geography, 10(2), 260–264, doi: 10.1177/2043820620935355.

[3] Rahman, A., & Jahan, Y. (2020) Defining a “Risk Group” and Ageism in the Era of COVID-19, Journal of Loss and Trauma, 25(8), 631-634, doi: 10.1080/15325024.2020.1757993.

[4] Schneider, E. C. (2020) Failing the Test — The Tragic Data Gap Undermining the U.S. Pandemic Response, New England Journal of Medicine, 383(4), 299-302, doi: 10.1056/nejmp2014836.

[5] Smith, C. D., & Mennis, J. (2020) Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic, Preventing Chronic Disease, 17: 200246, doi: 10.5888/pcd17.200246.

Emotional Geography

[1] Bondi, L., Davidson, J., & Smith, M. (2012) Introduction: Geography’s ‘emotional turn’, Emotional Geographies, 1–16.

Vulnerabilities

[1] Eaves, L. T., & Al-Hindi, K. F. (2020) Intersectional geographies and COVID-19, Dialogues in Human Geography, 10(2), 132–136, doi: 10.1177/2043820620935247.

[2] Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., Kawasaki, B., Yousey-Hindes, K., Niccolai, L., Anderson, E. J., Openo, K. P., Weigel, A., Monroe, M. L., Ryan, P., Henderson, J., … Fry, A. (2020) Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 — COVID-NET, 14 States, March 1–30, 2020, MMWR, Morbidity and Mortality Weekly Report, 69(15), 458–464, doi: 10.15585/mmwr.mm6915e3.

[3] Gauthier, G. R., Smith, J. A., García, C., Garcia, M. A., & Thomas, P. A. (2020) Exacerbating Inequalities: Social Networks, Racial/Ethnic Disparities, and the COVID-19 Pandemic in the United States, The Journals of Gerontology: Series B, XX(XX), 1–5, doi: 10.1093/geronb/gbaa117.

[4] Hawkins, D. (2020) Differential occupational risk for COVID-19 and other infection exposure according to race and ethnicity, American Journal of Industrial Medicine, 63(9), 817–820, doi: 10.1002/ajim.23145.

[5] Laurencin, C. T., & McClinton, A. (2020) The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities, Journal of Racial and Ethnic Health Disparities, 7(3), 398–402, doi: 10.1007/s40615-020-00756-0.

[6] Oppel Jr., R. A., Gebeloff, R., Lai, K. K. R., Wright, W. & Smith, M. (2020) The Fullest Look Yet at the Racial Inequity of Coronavirus, The New York Times, retrieved September 8, 2020.

[7] Ravi, K. (2020) Ethnic disparities in COVID-19 mortality: are comorbidities to blame?, The Lancet, 396 (10243), 22, doi: 10.1016/S0140-6736(20)31423-9.

[8] Selden, T., & Berdahl, T. (2020) COVID-19 And Racial/Ethnic Disparities In Health Risk, Employment, And Household Composition, Health Affairs, 9(9), 1624-1632, doi: 10.1377/hlthaff.2020.00897.

Employment, Work and Workplaces

[1] Baker, M. G., Peckham, T. K., & Seixas, N. S. (2020) Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection, PLoS ONE, 15(4), e0232452, doi: 10.1371/journal.pone.0232452.

[2] Bui, Q. & Badger, E. (2020) In These Neighborhoods, the Jobless Rate May Top 30 Percent, The New York Times, retrieved on September 8, 2020.

[3] Michael Belingheri, Maria Emilia Paladino, M. A. R. (2020) COVID-19: Health prevention and control in non-healthcare settings, Occupational Medicine (Oxford, England), 70, 82–83, doi: 10.1093/occmed.

[4] Renstrom, J. (2020) Working from home is a lifesaver -- and a big danger (opinion), CNN, retrieved on August 1, 2020.

Other Dashboards

[1] Center for Disease Control and Prevention (n.d.) United States COVID-19 Cases and Deaths by State, retrieved on November 2, 2020.

[2] Chetty, R., Friedman, J. N., Hendren, N., Stepner, M. & the Opportunity Insights Team (2020) The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data, Opportunity Insights, retrieved on August 1, 2020.

[3] Communities Count (n.d.) COVID-19 Vulnerable Communities Data Tool, retrieved on August 1, 2020.

[4] McKinsey & Company (n.d.) The Emotion Archive, retrieved August 4, 2020.

[5] National Institute of Environmental Health Sciences (n.d.) COVID-19 Pandemic Vulnerability Index (PVI), retrieved on September 8, 2020.

[6] The COVID Tracking Project (n.d.), Racial Data Dashboard, The Atlantic, retrieved August 1, 2020.

[7] UN Women. (n.d.). Explainer: How COVID-19 impacts women and girls, retrieved August 5, 2020.

[8] Washington State Coronavirus Response (n.d.) COVID-19 risk assessment dashboard, retrieved on August 1, 2020.