County of San Diego
Wastewater Surveillance Dashboard

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• About this Dashboard
  • Data are compiled from San Diego County Public Health Lab (SDPHL) and WastewaterSCAN (WWSCAN).
  • Current levels are calculated as percentiles with Low (1-29^th), Moderate (30-59^th), High (60^th-89^th), and Very High (90^th-100^th) for pathogens with consistent detections and over six months of accumulated data.
  • Current trends are assessed as a 30-day percent change with Decrease (-21% to -99%), Plateau (-20^% to 20%), Increase (21% to 99%), and Strong increase (>100%).
  • Sporadic detections apply to targets detected at least once in the past month without consistent signal; no trends are assessed.
  • Not calculated represents samples that are below a level of detection; no trends are assessed.

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• How to Use this Graph
  • Use tabs at the top of the graph to toggle between viruses (SARS-CoV-2, Influenza A, Influenza B, and RSV).
  • Use legend at the bottom left of the graph to toggle between sites (Encina, Point Loma, and South Bay).
  • Hover over data to see more data characteristics for each graphic such as sample date and wastewater viral activity level.
  • Where applicable, historical data has been included from SEARCH and CDPH to establish levels. First vertical, black dashed line represents parallel testing done by SDPHL, and second vertical, black dashed line represents transition of wastewater testing started on December 1, 2025, by SDPHL.
  • Current levels are calculated as percentiles with Low (1-30^th), Moderate (30-60^th), High (60^th-90^th), and Very High (90^th-100^th) for pathogens with consistent detections and over six months of accumulated data.
  • Levels will be established when we have six months of accumulated data.
  • For Encina and South Bay, levels have not been established for Influenza A and RSV. This is a new addition to our wastewater surveillance and has not been previously monitored. Levels will be established when we have six months of accumulated data.
  • Wastewater data are normalized using pepper mild mottle virus (PMMoV), an established marker of human fecal levels.

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• How to Use this Graph
  • Use legend at bottom left of the graph to toggle between sites (Encina, Point Loma, and South Bay).
  • Hover over data to see additional information such as date, lineage, and relative abundance.
  • Historical data has been included from SEARCH through October 2025.
  • Relative abundance for each date represents a two-week smoothed average of lineages from whole genome sequencing of SARS-CoV-2 in wastewater.
• Limitations
  • Wastewater surveillance for disease monitoring is an evolving field, and we are still learning about how to best apply the results of the data. Points to consider when reviewing these data:
    • Some buildings or locations (like prisons, universities, or hospitals) are not connected to community wastewater treatment plants because they have their own smaller wastewater treatment plants. Septic tanks and portable toilets are not connected to wastewater treatment plants. Because of this, our wastewater samples may not include all people living and working in each sewershed’s community.
    • Individuals may shed varying amounts of virus when they are sick. The amount of virus shed into the wastewater also depends on the illness.
    • When a small number of people are sick within a community, their virus may be below the limit of detection in wastewater.
    • Wastewater is an environmental sample and can have many inputs (including human, animal, or industrial waste).
    • We cannot tell exactly how many people are sick with a disease with wastewater data alone, however, trends can be helpful in predicting a coming rise in clinical cases and the effectiveness of wastewater surveillance is enhanced when paired with clinical surveillance data.