| Literature DB >> 35474742 |
Laura F White1, Eleanor J Murray2, Arijit Chakravarty3.
Abstract
Keeping schools open without permitting COVID-19 spread has been complicated by conflicting messages around the role of children and schools in fueling the pandemic. Here, we describe methodological limitations of research minimizing SARS-CoV-2 transmission in schools, and we review evidence for safely operating schools while reducing overall SARS-CoV-2 transmission.Entities:
Mesh:
Year: 2022 PMID: 35474742 PMCID: PMC8858687 DOI: 10.1016/j.xcrm.2022.100556
Source DB: PubMed Journal: Cell Rep Med ISSN: 2666-3791
Summary of biases and the expected impact on conclusions related to SARS-CoV-2 infection in children and transmission in school settings
| Claim | Types of bias in existing evidence | Impact of biases |
|---|---|---|
| Differential susceptibility to infection in children | Misclassification of infection status due to symptom-gated testing Selection bias due to opt-in testing and reduced testing access Missing link fallacy: conditional probability of infection given contact rate misinterpreted as probability of infection | Under-estimation of susceptibility in children |
| Differential infectiousness in children | Misclassification of infection status due to symptom-gated testing Misclassification of index case due to asymptomatic infection and symptom-gated testing Confounding by contact rates | Under-estimation of infectiousness of children |
| Likelihood of school-based transmission | Logical fallacy: absence of evidence is not evidence of absence Confounding by asymptomatic infection Confounding due to superspreader behavior Selection bias due to opt-in testing and contact tracing Misclassification due to symptom-gated testing | Under-estimation of transmission chains between children in school settings |
| Relationship between school and community infection rates | Logical fallacy: correlation does not imply (absence of) causation Red herring fallacy: no reason to assume that detected case rates in schools must be higher, even if schools are driving transmission Reverse causation bias: correlated rates could be due to schools driving spread in communities Misclassification of infection status due to symptom-gated testing Confounding by asymptomatic infection | Under-estimation of contribution of school openings to community infection levels |