Incorporating and addressing testing bias within estimates of epidemic dynamics for SARS-CoV-2
Abstract Background The disease burden of SARS-CoV-2 as measured by tests from various localities, and at different time points present varying estimates of infection and fatality rates. Models based on these acquired data may suffer from systematic errors and large estimation variances due to the b...
Main Authors: | Yasir Suhail, Junaid Afzal, Kshitiz |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-01-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12874-020-01196-4 |
Similar Items
-
Confidence in the dynamic spread of epidemics under biased sampling conditions
by: James Brunner, et al.
Published: (2020-08-01) -
What’s the Risk? Fearful Individuals Generally Overestimate Negative Outcomes and They Dread Outcomes of Specific Events
by: Kristina M. Hengen, et al.
Published: (2019-07-01) -
Factors Affecting Clinical over and Underestimation of Fetal Weight—A Retrospective Cohort
by: Gal Cohen, et al.
Published: (2022-11-01) -
A Simple, Test-Based Method to Control the Overestimation Bias in the Analysis of Potential Prognostic Tumour Markers
by: Marzia Ognibene, et al.
Published: (2023-02-01) -
Addressing bias in the definition of SARS-CoV-2 reinfection: implications for underestimation
by: Hiam Chemaitelly, et al.
Published: (2024-03-01)