COVID-19 Case Age Distribution: Correction for Differential Testing by Age.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 34399059.
- Also identified by DOI 10.7326/M20-7003 and PMC identifier 8381772.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Despite expected initial universal susceptibility to a novel pandemic pathogen like SARS-CoV-2, the pandemic has been characterized by higher observed incidence in older persons and lower incidence in children and adolescents. To determine whether differential testing by age group explains observed variation in incidence. Population-based cohort study. Ontario, Canada. Persons diagnosed with SARS-CoV-2 and those tested for SARS-CoV-2. Test volumes from the Ontario Laboratories Information System, number of laboratory-confirmed SARS-CoV-2 cases from the Integrated Public Health Information System, and population figures from Statistics Canada. Demographic and temporal patterns in incidence, testing rates, and test positivity were explored using negative binomial regression models and standardization. Sources of variation in standardized ratios were identified and test-adjusted standardized infection ratios (SIRs) were estimated by metaregression. Observed disease incidence and testing rates were highest in the oldest age group and markedly lower in those younger than 20 years; no differences in incidence were seen by sex. After adjustment for testing frequency, SIRs were lowest in children and in adults aged 70 years or older and markedly higher in adolescents and in males aged 20 to 49 years compared with the overall population. Test-adjusted SIRs were highly correlated with standardized positivity ratios (Pearson correlation coefficient, 0.87 [95% CI, 0.68 to 0.95]; <i>P</i> < 0.001) and provided a case identification fraction similar to that estimated with serologic testing (26.7% vs. 17.2%). The novel methodology requires external validation. Case and testing data were not linkable at the individual level. Adjustment for testing frequency provides a different picture of SARS-CoV-2 infection risk by age, suggesting that younger males are an underrecognized group at high risk for SARS-CoV-2 infection. Canadian Institutes of Health Research.
Medical subject headings
- COVID-19
- COVID-19 Testing