[HTML][HTML] Mapping routine measles vaccination in low-and middle-income countries
Nature, 2021 - nature.com
The safe, highly effective measles vaccine has been recommended globally since 1974, yet
in 2017 there were more than 17 million cases of measles and 83,400 deaths in children …
in 2017 there were more than 17 million cases of measles and 83,400 deaths in children …
Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub‐Saharan Africa
JW Eaton, L Dwyer‐Lindgren… - Journal of the …, 2021 - Wiley Online Library
Introduction HIV planning requires granular estimates for the number of people living with
HIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIV …
HIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIV …
A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling
A Osgood‐Zimmerman… - International Statistical …, 2023 - Wiley Online Library
The integrated nested Laplace approximation (INLA) is a well‐known and popular technique
for spatial modelling with a user‐friendly interface in the R‐INLA package. Unfortunately …
for spatial modelling with a user‐friendly interface in the R‐INLA package. Unfortunately …
The two cultures for prevalence mapping: 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 …
A statistical introduction to template model builder: a flexible tool for spatial modeling
A Osgood-Zimmerman, J Wakefield - arXiv preprint arXiv:2103.09929, 2021 - arxiv.org
The integrated nested Laplace approximation (INLA) is a well-known and popular technique
for spatial modeling with a user-friendly interface in the R-INLA package. Unfortunately, only …
for spatial modeling with a user-friendly interface in the R-INLA package. Unfortunately, only …