Reproducible pooled INLA-SPDE mapping of Plasmodium falciparum prevalence in Mozambique

Domain:

healthcaregeospatial

Creator:

MuxChiPedNha

Publisher:

Host:

This release includes the reproducible pooled INLA–SPDE PfPR mapping workflow and the manuscript supplementary information. The supplementary PDF is included within the repository under docs/supplementary/. The analytical code, results and methodological workflow are otherwise unchanged. Please cite both the manuscript and the archived software release.

Visit

doi.org

Licenses

MIT License https://opensource.org/licenses/MIT

wpgp/Efficient-Population-Modelling-using-INLA-SPDE

R codes for INLA-SPDE bottom-up population modelling (Cameroon Application) # Efficient-Population-

Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA-SPDE approach

Abstract Ebola virus (EBV) disease is globally acknowledged public health emergenc

AbujaRUG/Prevalence-Mapping-of-Malaria-Cases-in-Nigeria-using-R-INLA-SUMMER-packages

This involves modeling under-5 malaria prevalence (U5MP) in Nigeria across the space to determine ma

Spatial prediction of Plasmodium falciparum prevalence in Somalia

Background
Maps of malaria distribution are vital for optimal allocation of reso

Pooled Deep Sequencing of Drug Resistance Loci from Plasmodium falciparum Parasites across Ethiopia

Although Ethiopia has an overall lower prevalence of Plasmodium falciparum among countries in Afri

Plasmodium falciparum parasite prevalence in East Africa: a review.

OBJECTIVES: Empirical data on malaria endemicity are rarely available for public domain use to guide