71 citations · 152 across the 35 of their papers we have counts for
12 papers · 1 filter
Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic
Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky +2
Estimating the true mortality burden of COVID-19 for every country in the world is a difficult, but crucial, public health endeavor. Attributing deaths, direct or indirect, to COVI…
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
Jon Wakefield, Peter A. Gao, Geir-Arne Fuglstad +1
In low- and middle-income countries (LMICs), accurate estimates of subnational health and demographic indicators are critical for guiding policy and identifying disparities. Many i…
Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
Zhengfan Wang, Miranda J. Fix, Lucia Hug +5
Estimation of stillbirth rates globally is complicated because of the paucity of reliable data from countries where most stillbirths occur. We compiled data and developed a Bayesia…
Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data
Tracy Qi Dong, Jon Wakefield
Despite substantial advances in global measles vaccination, measles disease burden remains high in many low- and middle-income countries. A key public health strategy for controlin…
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…
Small Area Estimation of Health Outcomes
Jon Wakefield, Taylor Okonek, Jon Pedersen
Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long…
Modeling and presentation of vaccination coverage estimates using data from household surveys
Tracy Qi Dong, Jon Wakefield
It is becoming increasingly popular to produce high-resolution maps of vaccination coverage by fitting Bayesian geostatistical models to data from household surveys. Often, the sur…
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
Austin E Schumacher, Tyler H McCormick, Jon Wakefield +5
In order to implement disease-specific interventions in young age groups, policy makers in low- and middle-income countries require timely and accurate estimates of age- and cause-…
Child Mortality Estimation Incorporating Summary Birth History Data
Katie Wilson, Jon Wakefield
The United Nations' Sustainable Development Goal 3.2 aims to reduce under-5 child mortality to 25 deaths per 1,000 live births by 2030. Child mortality tends to be concentrated in…
Spatio-Temporal Analysis of Surveillance Data
Jon Wakefield, Tracy Qi Dong, Vladimir N. Minin
In this chapter, we consider space-time analysis of surveillance count data. Such data are ubiquitous and a number of approaches have been proposed for their analysis. We first des…
Space-time smoothing of complex survey data: Small area estimation for child mortality
Laina D. Mercer, Jon Wakefield, Athena Pantazis +3
Many people living in low- and middle-income countries are not covered by civil registration and vital statistics systems. Consequently, a wide variety of other types of data, incl…
Predictive Modeling of Cholera Outbreaks in Bangladesh
Amanda A. Koepke, Ira M. Longini, M. Elizabeth Halloran +2
Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model f…