Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Additional file 3 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Domain:

healthcaregeospatial

Record type:

dataset
Creator:
SonPunTasSus
Host:avatar
Additional file 3. Validation and sensitivity analysis of the second stage spatio-temporal modelling process at health facility level. A A Generalized Additive Model is fitted on random 87.5% of the weekly incidence count data in each facility from 2018 to 2021, which is then used to predict the held-out set containing 12.5% of the data. The scatter plot illustrates the correlation between observed cases and predicted cases in each facility in the held-out set. A linear regression line is indicated in red. B Histograms of the number of expected cases in the second stage modelling based on the lower quantile, mean and upper quantileof predicted incidence surfaces at health facilities from the first stage modelling.

Visit

figshare.com

Tags

MedicineBiotechnologyEcologyCancerInfectious DiseasesComputational BiologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedMalaria control+3

Licenses

CC BY

Similar

Additional file 7 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysisAdditional file 8 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysisAdditional file 6 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysisAdditional file 4 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysisAdditional file 5 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysisAdditional file 2 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 7 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 7. The relationship between total observed and predicted cases per 1000 PYO in distr

Additional file 8 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 8. Heatmaps of A observed and B predicted rates showing the weekly percentage of pop

Additional file 6 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 6. Weekly observed, imputed and predicted cases per 1000 PYO in districts from 2018

Additional file 4 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 4. Maps of incidence rates of malaria in Namibia aggregated to district in the first

Additional file 5 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 5. Weekly predicted incidence rates of malaria from 2018 to 2021 in Namibia aggregat

Additional file 2 of High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Additional file 2. Exceedance and non-exceedance maps of malaria incidence in Namibia. A The posteri