SAVE LIVES SANTA CRUZ COUNTY

COVID-19 impacts every corner of the community. Working with partners throughout Santa Cruz County, we have developed a framework to safely move forward that protects residents, aligns with State public health authorities and the governor’s Resilience Roadmap, and is based on measurable objectives to increase community resiliency.


What is SAVE Lives Santa Cruz County?

Recognizing the challenge COVID-19 poses to the community, SAVE Lives Santa Cruz County is a partnership between the County of Santa Cruz and Community Foundation Santa Cruz County designed to facilitate a community-based plan for moving forward. It is based on four principles:

  • SLOW THE SPREAD
    Until a vaccine and human immunity are in place, we must use the tools we have to slow the spread of COVID-19 and protect lives. These include:
    • Physical distancing measures
    • Expanding public health testing, case investigation, contact tracing and isolation and quarantine capabilities
    • Expanding healthcare capacity and PPE availability
  • ADAPT AND ADJUST
    In order to continue offering services, we recognize changes are necessary to minimize harm. These include:
    • Modify physical distancing measures for businesses, schools, childcare facilities and community
    • Maintain and monitor testing, contact tracing and isolation and quarantine capacities
    • Maintain and monitor public health and healthcare capacities
  • VACCINATE AND TREAT
    Once a vaccine is available, we must:
    • Develop a vaccination plan to coordinate equitable, risk-based distribution
    • Increase capacity for mass dispensing
    • Implement agreements with private and public partners to be dispensing sites
    • Ensure ability to develop and administer therapeutics to meet the demand
  • ELEVATE READINESS
    COVID-19 will change the way we function as a community. Our task includes:
    • Elevating readiness for next public health emergency
    • Strengthening Public Health infrastructure and workforce
    • Evaluating and improving Public Health information systems

 
 
 
 

Santa Cruz County COVID-19 Hospitalization Projections

For current information on hospital usage including ICU beds, please visit the California COVID-19 Hospital data page.

How to read the model: For the actual number of hospitalizations in the past, we use the blue dots. To look at the future, we use the dark blue line and the light blue area. The dark blue line is the most likely number of hospitalizations in the future. Since models are not perfect, the light blue wider area shows the range of likely hospitalizations.

Why We Forecast Hospitalizations

We all rely on our hospitals to take care of us when we are very ill. If a hospital gets too full, it doesn’t have enough space or staff to care for everyone.

So, it is important to keep track of how many people are staying in a hospital at one time. It is also important to use our forecasts to predict when hospitals might get too full.

When our hospitals start to get too full, we need to take actions to slow the spread of COVID-19.

Tracking and forecasting how many people are in our hospitals help us SAVE Lives in our community.

How to read the plot: The plot shows green (for good) when Rt is below 1 and COVID-19 spread is decreasing. When Rt is above 1 and COVID-19 spread is increasing, the plot is yellow (take caution). The darker line shows the most likely Rt in Santa Cruz county. Since models are not perfect, the shaded areas around the darker line show the range of likely Rt values.

Rt: COVID-19 Spread in Our Community

The Effective Reproductive Number, shown here as “Rt” helps us understand how fast COVID-19 is spreading in our community. For COVID-19, RRt tells us the average number of people who will contract this disease from each infected person.

For example, if Rt equals 1, each existing infection causes one new infection. An Rt equal to 1 means the disease will stay present and stable in our community.

If Rt is less than 1, each existing infection causes less than one new infection. Therefore, if Rt stays below 1, spread of the disease declines and it eventually leaves the community.

When Rt is more than 1, each existing COVID-19 infection causes more than one new infection. The disease will be transmitted between more and more people and the spread of the disease is growing. If Rt stays greater than 1, it can lead to many challenges, including hospitals not being able to care for everyone who gets sick.

Rt depends on people’s behavior, like wearing a mask or keeping social distance. This is why Rt can change over time. For example, in the plot around March 20th the COVID-19 value for Rt in our county was probably about 2. Then, when many people stayed home through April and May, Rt dropped below 1.

How to read the plot: The plot shows COVID-19 rates since the 10th COVID-19 case, for each California County. The COVID-19 rates are calculated as the number of cases per 100,000 residents in each county. This helps account for different population sizes when comparing COVID-19 spread across California.

County Comparison

While disease modeling is helpful for planning, additional analyses help us understand the spread of COVID-19 in our community relative to others. Santa Cruz County has a lower cumulative case count and rate compared to many other California counties.

If you are experiencing difficulties with viewing data within the Dashboards, please clear your browser’s cache and refresh the web page to correct the issue.


 

Economic Recovery Council

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Get Tested

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Plans/Guidance

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Community Foundation

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Resilience Roadmap

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Find Childcare

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