[BOOK][B] Bayesian disease map**: hierarchical modeling in spatial epidemiology
AB Lawson - 2018 - taylorfrancis.com
Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …
been developed for space-time data analysis, the predictive modeling of health outcomes …
Model building and assessment of the impact of covariates for disease prevalence map** in low-resource settings: to explain and to predict
This paper provides statistical guidance on the development and application of model-
based geostatistical methods for disease prevalence map**. We illustrate the different …
based geostatistical methods for disease prevalence map**. We illustrate the different …
What is the place for space in epidemiology?
At the heart of spatial epidemiology is the need to describe and understand variation in
population health. In this review and introduction to the themed issue on “Spatial Analysis …
population health. In this review and introduction to the themed issue on “Spatial Analysis …
Estimating under-five mortality in space and time in a develo** world context
Accurate estimates of the under-five mortality rate in a develo** world context are a key
barometer of the health of a nation. This paper describes a new model to analyze survey …
barometer of the health of a nation. This paper describes a new model to analyze survey …
Design-and model-based approaches to small-area estimation in a low-and middle-income country context: comparisons and recommendations
The need for rigorous and timely health and demographic summaries has provided the
impetus for an explosion in geographic studies in low-and middle-income countries. Many of …
impetus for an explosion in geographic studies in low-and middle-income countries. Many of …
[BOOK][B] Using R for Bayesian spatial and spatio-temporal health modeling
AB Lawson - 2021 - taylorfrancis.com
Progressively more and more attention has been paid to how location affects health
outcomes. The area of disease map** focusses on these problems, and the Bayesian …
outcomes. The area of disease map** focusses on these problems, and the Bayesian …
A sco** review of spatial analysis approaches using health survey data in sub-Saharan Africa
S Manda, N Haushona, R Bergquist - International journal of …, 2020 - mdpi.com
Spatial analysis has become an increasingly used analytic approach to describe and
analyze spatial characteristics of disease burden, but the depth and coverage of its usage …
analyze spatial characteristics of disease burden, but the depth and coverage of its usage …
District‐level estimation of vaccination coverage: Discrete vs continuous spatial models
CE Utazi, K Nilsen, O Pannell… - Statistics in …, 2021 - Wiley Online Library
Health and development indicators (HDIs) such as vaccination coverage are regularly
measured in many low‐and middle‐income countries using household surveys, often due to …
measured in many low‐and middle‐income countries using household surveys, often due to …
Bayesian modeling of spatial ordinal data from health surveys
Health surveys allow exploring health indicators that are of great value from a public health
point of view and that cannot normally be studied from regular health registries. These …
point of view and that cannot normally be studied from regular health registries. These …
The two cultures for prevalence map**: small area estimation and spatial statistics
The emerging need for subnational estimation of demographic and health indicators in low-
and middle-income countries (LMICs) is driving a move from design-based area-level …
and middle-income countries (LMICs) is driving a move from design-based area-level …