COVID-19 vaccination in California: Are we equitable yet?

  1. Alec J. Schmidt
  2. Maria L. Daza-Torres
  3. Yury E. García
  4. Joan L. Ashby
  5. Bradley H. Pollock
  6. James Sharpnack
  7. Miriam Nuño

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Abstract

Background

By March 2021, California had one of the least equitable COVID-19 vaccine distribution programs in the US. To rectify this, Governor Newsom ordered 4 million vaccine doses be reserved for the census tracts in the lowest quartile of the Healthy Places Index (HPI). California plans to lift state-wide restrictions on June 15th, 2021, as long as test positivity and vaccine equity thresholds are met in the state’s most vulnerable neighborhoods. This short investigation examines current vaccine equity and forecasts where California can expect to be when the economy fully reopens.

Methods

Current vaccine equity was investigated with simple linear regression between the county mean HPI and both single and full-dose vaccination rate. Future vaccination coverage per county were predicted using a compartmental mathematical model based on the average rate over the previous 30 days with four different rate-change scenarios.

Results

County mean HPI had a strong positive association with both single and full dose vaccination rates ( R 2 : 0.716 and 0.737, respectively). We predict the overall state rate will exceed 50% fully vaccinated by June 15th if the current rates are maintained; however, the bulk of this coverage comes from the top 18 counties while the remaining 40 counties lag behind.

Discussion

The clear association between county HPI and current vaccination rates shows that California is not initiating opening plans from an equitable foundation, despite previous equity programs. If nothing changes, many of the most vulnerable counties will not be prepared to open without consequences come June 15th.

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  1. Version published to 10.1101/2021.05.25.21257807v2 on medRxiv
  2. ScreenIT

    SciScore for 10.1101/2021.05.25.21257807: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Modeling was implemented in python.
    python
    suggested: (IPython, RRID:SCR_001658)

    Results from OddPub: Thank you for sharing your code.

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

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  3. Version published to 10.1101/2021.05.25.21257807v1 on medRxiv