6 papers
Areal Disaggregation: A Small Area Estimation Perspective
Yunhan Wu, Finn Lindgren, Heidi A. Hanson
Producing reliable estimates of health and demographic indicators at fine areal scales is crucial for examining heterogeneity and supporting localized health policy. However, many…
Automatic Variance Adjustment for Small Area Estimation
Jon Wakefield, Jitong Jiang, Yunhan Wu
Small area estimation (SAE) is a common endeavor and is used in a variety of disciplines. In low- and middle-income countries (LMICs), in which household surveys provide the most r…
sae4health: An R Shiny Application for Small Area Estimation in Low- and Middle-Income Countries
Yunhan Wu, Qianyu Dong, Jieyi Xu +2
Accurate subnational estimation of health indicators is critical for public health planning, particularly in low- and middle-income countries (LMICs), where data and analytic tools…
Small Area Estimation of Fertility in Low- and Middle-Income Countries
Yunhan Wu, Jon Wakefield
Accurate fertility estimates at fine spatial resolution are essential for localized public health planning, particularly in low- and middle-income countries (LMICs). While national…
Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data
Qianyu Dong, Yunhan Wu, Zehang Richard Li +1
Understanding the prevalence of key demographic and health indicators in small geographic areas and domains is of global interest, especially in low- and middle-income countries (L…
Small Area Estimation of Education Levels in Low- and Middle-Income Countries
Yunhan Wu, Ameer Dharamshi, Jon Wakefield
Education is a key driver of social and economic mobility, yet disparities in attainment persist, particularly in low- and middle-income countries (LMICs). Existing indicators, suc…