Article

Sensitivity and Uncertainty Analysis for Two-Stream Capture-Recapture Methods in Disease Surveillance

2022-09-23

Abstract excerpt

Capture-recapture methods are widely applied in estimating the number ( N ) of prevalent or cumulatively incident cases in disease surveillance. Here, we focus the bulk of our attention on the common case in which there are two data streams. We propose a sensitivity and uncertainty analysis framework grounded in multinomial distribution-based maximum likelihood, hinging on a key dependence parameter that is typica...

Topics

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

Identifiers and source

Literature Corpus work: 8cf4d9c9-3e25-562c-957d-0780b02a81df
DOI: 10.1101/2022.09.21.22280224

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Sensitivity and Uncertainty Analysis for Two-Stream Capture-Recapture Methods in Disease SurveillanceDOI 10.1101/2022.09.21.22280224Read

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

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

Some principles for using epidemiologic study results to parameterize transmission modelsSemantic proximity Read

Interpreting HIV Diagnostic Histories into Infection Time Estimates: Analytical Framework and Online ToolSemantic proximity Read

Interpreting HIV Diagnostic Histories into Infection Time Estimates: Analytical Framework and Online ToolSemantic proximity Read

Bayesian Modeling of Spatiotemporal patterns of TB-HIV co-infection risk in KenyaSemantic proximity Read

Epidemics of chikungunya, Zika, and COVID-19 reveal bias in case-based mappingSemantic proximity Read

Accurately Estimating Unreported Infections using Information TheorySemantic proximity Read

From Sparse Data to Smart Decisions: Region-Specific Policy Evaluation via SimulationSemantic proximity Read

Combining biomarker and virus phylogenetic models improves epidemiological source identificationSemantic proximity Read

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

Efficient Surveillance and Temporal Calibration of Disease ResponseSemantic proximity Read