• Corpus ID: 239024815

The Two Cultures for Prevalence Mapping: Small Area Estimation and Spatial Statistics

@inproceedings{Fuglstad2021TheTC,
  title={The Two Cultures for Prevalence Mapping: Small Area Estimation and Spatial Statistics},
  author={Geir-Arne Fuglstad and Zehang Richard Li and Jonathan Wakefield},
  year={2021}
}
The emerging need for subnational estimation of demographic and health indicators in lowand middle-income countries (LMICs) is driving a move from design-based methods to spatial and spatio-temporal approaches. The latter are model-based and overcome data sparsity by borrowing strength across space, time and covariates and can, in principle, be leveraged to create yearly fine-scale pixel level maps based on household surveys. However, typical implementations of the model-based approaches do not… 
Smoothed Model-Assisted Small Area Estimation
In countries where population census and sample survey data are limited, generating accurate subnational estimates of health and demographic indicators is challenging. Existing model-based

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