Dynamic SARS-CoV-2 surveillance model combining seroprevalence and wastewater concentrations for post-vaccine disease burden estimates
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background Despite wide scale assessments, it remains unclear how large-scale severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination affected the wastewater concentration of the virus or the overall disease burden as measured by hospitalization rates. Methods We used weekly SARS-CoV-2 wastewater concentration with a stratified random sampling of seroprevalence, and linked vaccination and hospitalization data, from April 2021–August 2021 in Jefferson County, Kentucky (USA). Our susceptible ( $$S$$ S ), vaccinated ( $$V$$ V ), variant-specific infected ( $${I}_{1}$$ I 1 and $${I}_{2}$$ I 2 ), recovered ( $$R$$ R ), and seropositive ( $$T$$ T ) model ( $${SV}{I}_{2}{RT}$$ S V I 2 R T ) tracked prevalence longitudinally. This was related to wastewater concentration. Results Here we show the 64% county vaccination rate translate into about a 61% decrease in SARS-CoV-2 incidence. The estimated effect of SARS-CoV-2 Delta variant emergence is a 24-fold increase of infection counts, which correspond to an over 9-fold increase in wastewater concentration. Hospitalization burden and wastewater concentration have the strongest correlation (r = 0.95) at 1 week lag. Conclusions Our study underscores the importance of continuing environmental surveillance post-vaccine and provides a proof-of-concept for environmental epidemiology monitoring of infectious disease for future pandemic preparedness.
Source: Communications Medicine
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,490
Funders: Rockefeller Foundation, James Graham Brown Foundation, Ohio State University, National Research Foundation, National Research Foundation of Korea, National Institutes of Health, Centers for Disease Control and Prevention, National Institute of General Medical Sciences, National Institute of Environmental Health Sciences
OpenAlex ID: W4394612944
