27 citations · 81 across the 13 of their papers we have counts for
13 papers
Utilizing a Capture-Recapture Strategy to Accelerate Infectious Disease Surveillance
Lin Ge, Yuzi Zhang, Lance A. Waller +1
Monitoring key elements of disease dynamics (e.g., prevalence, case counts) is of great importance in infectious disease prevention and control, as emphasized during the COVID-19 p…
On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance
Yuzi Zhang, Lin Ge, Lance A. Waller +1
In epidemiological studies, the capture-recapture (CRC) method is a powerful tool that can be used to estimate the number of diseased cases or potentially disease prevalence based…
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
Lin Ge, Yuzi Zhang, Lance A. Waller +1
Epidemiologic screening programs often make use of tests with small, but non-zero probabilities of misdiagnosis. In this article, we assume the target population is finite with a f…
A Design and Analytic Strategy for Monitoring Disease Positivity and Case Characteristics in Accessible Closed Populations
Robert H. Lyles, Yuzi Zhang, Lin Ge +1
We propose a monitoring strategy for efficient and robust estimation of disease prevalence and case numbers within closed and enumerated populations such as schools, workplaces, or…
Tailoring Capture-Recapture Methods to Estimate Registry-Based Case Counts Based on Error-Prone Diagnostic Signals
Lin Ge, Yuzi Zhang, Kevin C. Ward +3
Surveillance research is of great importance for effective and efficient epidemiological monitoring of case counts and disease prevalence. Taking specific motivation from ongoing e…
Impacts of Census Differential Privacy for Small-Area Disease Mapping to Monitor Health Inequities
Yanran Li, Brent A. Coull, Nancy Krieger +4
The US Census Bureau will implement a new privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on the public-release 2020 censu…
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data
Emily N Peterson, Rachel C Nethery, Tullia Padellini +6
Small area estimates of population are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area estimates…
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access
Zhen Zhong, Ribhu Sengupta, Kamran Paynabar +1
At the time of this article, COVID-19 has been transmitted to more than 42 million people and resulted in more than 673,000 deaths across the United States. Throughout this pandemi…
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio
Staci A. Hepler, David Kline, Andrea Bonny +2
Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of…
A Bayesian Downscaler Model to Estimate Daily PM2.5 levels in the Continental US
Yikai Wang, Xuefei Hu, Howard Chang +3
There has been growing interest in extending the coverage of ground PM2.5 monitoring networks based on satellite remote sensing data. With broad spatial and temporal coverage, sate…
Hierarchical multivariate space-time methods for modeling counts with an application to stroke mortality data
Harrison Quick, Lance A. Waller, Michele Casper
Geographic patterns in stroke mortality have been studied as far back as the 1960s, when a region of the southeastern United States became known as the "stroke belt" due to its unu…
Automatic Region-wise Spatially Varying Coefficient Regression Model: an Application to National Cardiovascular Disease Mortality and Air Pollution Association Study
Shuo Chen, Chengsheng Jiang, Lance Waller
Motivated by analyzing a national data base of annual air pollution and cardiovascular disease mortality rate for 3100 counties in the U.S. (areal data), we develop a novel statist…
Discussion of "Spatial accessibility of pediatric primary healthcare: Measurement and inference"
Lance A. Waller
Discussion of "Spatial accessibility of pediatric primary healthcare: Measurement and inference" by Mallory Nobles, Nicoleta Serban and Julie Swann [arXiv:1501.03626].