Design of a population-based longitudinal cohort study of SARS-CoV-2 incidence and prevalence among adults in the San Francisco Bay Area
| Autor: | Kevin Grumbach, Yuteh Cheng, Ralph Gonzales, Alex Dahlen, George W. Rutherford, Jenna Bollyky, Sergio Garcia, Charles S. Craik, Timothy J. Judson, Derek B. Boothroyd, Manisha Desai, Hannah A. Sample, Haley Hedlin, Christina Lindan, Jeff Henne, Yingjie Weng, Yvonne Maldonado |
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| Rok vydání: | 2022 |
| Předmět: |
ACS: American Community Survey
Epidemiology 100py: 100 person-years Antibodies Viral Medical and Health Sciences Cohort Studies population-based survey Prevalence Medicine IgG: Immunoglobulin-G US: United States Viral Longitudinal Studies ABS: Address-based sampling Aetiology ACE-2: Angiotensin-converting enzyme 2 Lung CLIA: Clinical Laboratory Improvement Act education.field_of_study Surveillance Ct: Cycle threshold Incidence (epidemiology) EUA: Emergency Use Authorization Incidence ELISA: enzyme-linked immunosorbent assay probability sample Regression analysis Population-based survey N-protein: Nucleocapsid protein Stratified sampling SARS-CoV-2 viral detection Infectious Diseases RBD: Receptor binding domain surveillance Original Article Infection Adult UCSF: University of California Probability sample SARS-CoV-2 viral detection. List of abbreviations and acronyms Population General Population Cohort Sample (statistics) LASSO: Least Absolute Shrinkage and Selection Operator Antibodies Vaccine Related Biodefense Behavioral and Social Science Humans THG: The Henne Group education SARS-CoV-2 antibody HH: household business.industry SARS-CoV-2 Prevention Rt-PCR: Reverse transcriptase-polymerase chain reaction COVID-19 CI: Confidence intervals SHC: Stanford Health Center FDA: Food and Drug Administration Emerging Infectious Diseases Good Health and Well Being Sample size determination LDT: Laboratory developed test S1: Spike protein San Francisco business Bay Demography CBO: Community-based organization 2.4 Surveillance and distribution |
| Zdroj: | Annals of Epidemiology |
| Popis: | Purpose We describe the design of a longitudinal cohort study to determine SARS-CoV-2 incidence and prevalence among a population-based sample of adults living in six San Francisco Bay Area counties. Methods Using an address-based sample, we stratified households by county and by census-tract risk. Risk strata were determined by using regression models to predict infections by geographic area using census-level sociodemographic and health characteristics. We disproportionately sampled high and medium risk strata, which had smaller population sizes, to improve precision of estimates, and calculated a desired sample size of 3400. Participants were primarily recruited by mail and were followed monthly with PCR testing of nasopharyngeal swabs, testing of venous blood samples for antibodies to SARS-CoV-2 spike and nucleocapsid antigens, and testing of the presence of neutralizing antibodies, with completion of questionnaires about socio-demographics and behavior. Estimates of incidence and prevalence will be weighted by county, risk strata and sociodemographic characteristics of non-responders, and will take into account laboratory test performance. Results We enrolled 3842 adults from August to December, 2020, and completed follow-up March 31, 2021. We reached target sample sizes within most strata. Conclusions Our stratified random sampling design will allow us to recruit a robust general population cohort of adults to determine the incidence of SARS-CoV-2 infection. Identifying risk strata was unique to the design and will help ensure precise estimates, and high-performance testing for presence of virus and antibodies will enable accurate ascertainment of infections. |
| Databáze: | OpenAIRE |
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