1 citations · 1 across the 4 of their papers we have counts for
5 papers
Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
Ben Sheng, Changcheng Li, Le Bao +1
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to t…
Evaluating the relative contribution of data sources in a Bayesian analysis with the application of estimating the size of hard to reach populations
Jacob Parsons, Xiaoyue Niu, Le Bao
When using multiple data sources in an analysis, it is important to understand the influence of each data source on the analysis and the consistency of the data sources with each o…
A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
Zhou Lan, Le Bao
Ending the HIV/AIDS pandemic is among the Sustainable Development Goals for the next decade. In order to overcome the gap between the need for care and the available resources, bet…
What Can We Learn from the Travelers Data in Detecting Disease Outbreaks -- A Case Study of the COVID-19 Epidemic
Le Bao, Ying Zhang, Xiaoyue Niu
Background: Travel is a potent force in the emergence of disease. We discussed how the traveler case reports could aid in a timely detection of a disease outbreak. Methods: Using t…
Incorporating Hierarchical Structure Into Dynamic Systems: An Application Of Estimating HIV Epidemics At Sub-National And Sub-Population Level
Le Bao, Ben Sheng, Xiaoyue Niu +4
Dynamic models have been successfully used in producing estimates of HIV epidemics at national level, due to their epidemiological nature and their ability to simultaneously estima…