Article

Overdiagnosis and Undertesting for Infectious Diseases

2020-11-08

Abstract excerpt

The ongoing discourse about COVID-19 testing revolves around undertesting (i.e., insufficient testing capacity relative to demand). Another important yet little studied systematic issue is overdiagnosis (i.e., positive diagnoses for patients with negligible viral loads): recent evidence suggests U.S. laboratories have adopted highly sensitive diagnosis criteria, such that up to an estimated 90% of positive diagnos...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 074018c0-e474-55ed-a408-7d28250e87cd
DOI: 10.2139/ssrn.3725057

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Overdiagnosis and Undertesting for Infectious DiseasesDOI 10.2139/ssrn.3725057Read

Leveraging Limited Testing Data for Early Detection of Emerging Infectious Disease OutbreaksSemantic proximity Read

How optimal allocation of limited testing capacity changes epidemic dynamicsSemantic proximity Read

Challenges in the case-based surveillance of infectious diseasesSemantic proximity Read

The Impact of Repeating COVID-19 Rapid Antigen Tests on on Prevalence Boundary Performance and Missed DiagnosesSemantic proximity Read

“We usually see a lot of delay in terms of coming for or seeking care”: an expert consultation on COVID testing and care pathways in low- and middle-income countriesSemantic proximity Read

Primary care and point-of-care testing during a pandemic: Clinician’s perspectives on integrating rapid testing for COVID-19 into the primary care pathwaySemantic proximity Read

To test or not to test? A new behavioral epidemiology framework for COVID-19Semantic proximity Read

Hidden in Plain Sight: Epidemiological Signals in Routine Laboratory DataSemantic proximity Read

Frequency and accuracy of proactive testing for COVID-19Semantic proximity Read

A Theory of Voluntary Testing and Self-isolation in an Ongoing PandemicSemantic proximity Read

Improving testing capacity for COVID-19: Experiences and lessons from Senegal, Uganda, Nigeria and the Democratic Republic of CongoSemantic proximity Read

PRE-CISE: A PRE-calibration Coverage, Identifiability, and SEnsitivity analysis workflow to streamline model calibrationSemantic proximity Read