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