Data science approaches to infectious disease surveillance
Q Zhang - … Transactions of the Royal Society A, 2022 - royalsocietypublishing.org
Novel data science approaches are needed to confront large-scale infectious disease
epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and …
epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and …
Controlling epidemics through optimal allocation of test kits and vaccine doses across networks
Efficient testing and vaccination protocols are critical aspects of epidemic management. To
study the optimal allocation of limited testing and vaccination resources in a heterogeneous …
study the optimal allocation of limited testing and vaccination resources in a heterogeneous …
Bayesian sequential approach to monitor COVID-19 variants through test positivity rate from wastewater
Deployment of clinical testing on a massive scale was an essential control measure for
curtailing the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
curtailing the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
Prevalence estimation and optimal classification methods to account for time dependence in antibody levels
Serology testing can identify past infection by quantifying the immune response of an
infected individual providing important public health guidance. Individual immune responses …
infected individual providing important public health guidance. Individual immune responses …
Modeling in higher dimensions to improve diagnostic testing accuracy: theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays
RA Luke, AJ Kearsley, N Pisanic, YC Manabe… - PloS one, 2023 - journals.plos.org
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has
emphasized the importance and challenges of correctly interpreting antibody test results …
emphasized the importance and challenges of correctly interpreting antibody test results …
Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes
An accurate multiclass classification strategy is crucial to interpreting antibody tests.
However, traditional methods based on confidence intervals or receiver operating …
However, traditional methods based on confidence intervals or receiver operating …
Optimal decision theory for diagnostic testing: Minimizing indeterminate classes with applications to saliva-based SARS-CoV-2 antibody assays
PN Patrone, P Bedekar, N Pisanic, YC Manabe… - Mathematical …, 2022 - Elsevier
In diagnostic testing, establishing an indeterminate class is an effective way to identify
samples that cannot be accurately classified. However, such approaches also make testing …
samples that cannot be accurately classified. However, such approaches also make testing …
Operational analysis for COVID-19 testing: Determining the risk from asymptomatic infections
M Mangel - Plos one, 2023 - journals.plos.org
Testing remains a key tool for managing health care and making health policy during the
coronavirus pandemic, and it will probably be important in future pandemics. Because of …
coronavirus pandemic, and it will probably be important in future pandemics. Because of …
Minimizing uncertainty in prevalence estimates
PN Patrone, AJ Kearsley - Statistics & Probability Letters, 2024 - Elsevier
Estimating prevalence q, the fraction of a population with a specific medical condition, is
fundamental to epidemiology. Traditional methods address this task by using a diagnostic …
fundamental to epidemiology. Traditional methods address this task by using a diagnostic …
[HTML][HTML] Bayesian sequential approach to monitor covid-19 variants through positivity rate from wastewater
Trends in COVID-19 infection have changed throughout the pandemic due to myriad factors,
including changes in transmission driven by social behavior, vaccine development and …
including changes in transmission driven by social behavior, vaccine development and …