activity
20072021
most citedProbabilistic projections of HIV prevalence using Bayesian melding

112 citations · 301 across the 20 of their papers we have counts for

collaborators

21 papers

stat.ME2021★ 2 cited

Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains

Zehang Richard Li, Zhenke Wu, Irena Chen +1

Understanding cause-specific mortality rates is crucial for monitoring population health and designing public health interventions. Worldwide, two-thirds of deaths do not have a ca…

stat.AP2021★ 1 cited

The openVA Toolkit for Verbal Autopsies

Zehang Richard Li, Jason Thomas, Eungang Choi +2

Verbal autopsy (VA) is a survey-based tool widely used to infer cause of death (COD) in regions without complete-coverage civil registration and vital statistics systems. In such s…

stat.OT2021★ 2 cited

Health and Demographic Surveillance Systems and the 2030 Agenda: Sustainable Development Goals

Samuel J. Clark

The health and demographic surveillance system (HDSS) is an old method for intensively monitoring a population to assess the effects of healthcare or other population-level interve…

stat.ME2020★ 16 cited

Estimating Seroprevalence of SARS-CoV-2 in Ohio: A Bayesian Multilevel Poststratification Approach with Multiple Diagnostic Tests

David Kline, Zehang Li, Yue Chu +4

Globally the SARS-CoV-2 coronavirus has infected more than 59 million people and killed more than 1.39 million. Designing and monitoring interventions to slow and stop the spread o…

stat.AP2020★ 4 cited

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER

Zehang Richard Li, Bryan D Martin, Tracy Qi Dong +5

The increasing availability of complex survey data, and the continued need for estimates of demographic and health indicators at a fine spatial and temporal scale, which leads to i…

stat.AP2019★ 1 cited

Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive

Samuel J. Clark, Martin W. Bratschi, Philip Setel +6

The burden of disease is fundamental to understanding, prioritizing, and monitoring public health interventions. Cause of death is required to calculate the burden of disease, but…