Sightline Wastewater

Verily dataset

Gain near real-time insights into community health trends with Verily Sightline Wastewater Data. This public health monitoring offering leverages advanced pathogen detection and  quantification to monitor the presence and concentration of various infectious disease pathogens circulating within communities. By analyzing pathogen RNA/DNA in wastewater samples collected from diverse locations , Sightline provides an early warning system, complementing clinical-based  surveillance systems and often detecting trends before clinical cases rise. Utilize this population-level data to track infectious disease spread, inform interventions, and support research efforts aimed at monitoring and mitigating disease impact.

Dataset

Sightline Wastewater

Data Collection Time Frame

2020 - Present

Participants

~35M people represented, about 10% of the US population

Geographical Coverage

US focused (~40 states)

Usage Examples

  • Conduct near real-time community monitoring (48 hours from sample receipt) of infectious pathogen circulation (e.g., SARS-CoV-2, Influenza, RSV, Mpox) within specific geographies.
  • Monitor trends in pathogen concentration over time to understand transmission dynamics and assess the level of community spread.
  • Obtain early warnings of potential outbreaks or significant shifts in disease activity, often preceding detection throughX traditional clinical surveillance methods.
  • Inform timely decision-making regarding resource allocation, targeted interventions, community guidance, and preparedness efforts.
  • Gain a more comprehensive and equitable view of community health, regardless of individual healthcare access or clinical testing patterns.
  • Support epidemiological research into pathogen transmission dynamics and the effectiveness of non-pharmaceutical interventions and medical countermeasures.
  • Inform infectious disease research and development priorities by providing insights into real-world pathogen prevalence and spread.
  • Identify geographic areas with pathogen prevalence to help optimize clinical trial site selection and focus recruitment strategies for relevant infectious disease studies.
  • Guide the timing and geographic targeting of community outreach or recruitment campaigns for clinical trials based on near real-time transmission data.

Data Modalities

Biosamples

  • Wastewater (Liquid Influent, Settled Solids)

Biomarkers (Specific Analyte Measurements)

  • Pathogen Levels (Viral/Bacterial/Fungal DNA/RNA concentration in copies per gram and normalized by PMMoV) 
  • Including pathogens like: SARS-CoV-2, Influenza A/B (incl. subtypes H1, H3, H5), RSV A/B, Mpox virus (inc. subtypes clade 1b and 2), Candida auris, Hepatitis A, Human Metapneumovirus, Parainfluenza viruses, Enterovirus D68, Norovirus GII, (and others, with ongoing assay development).

Other / Contextual

  • Geographic Location Data (linked to sampling site)

  • Time Series Data (reflecting concentration trends over time)

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