Fine scale infectious disease spatial modeling using satellite-derived data: application to pandemic influenza in Rwanda

Authors: Nistara Randhawa [1], Hugo Mailhot [2], Duncan Temple Lang [3], Beatriz Martínez-López[4], Kirsten Gilardi [1], Jonna A.K. Mazet [1]

[1] One Health Institute, School of Veterinary Medicine, University of California, Davis, USA
[2] University of California, Davis, USA
[3] Department of Statistics, University of California, Davis, USA
[4] Center for Animal Disease Modeling and Surveillance, Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, USA

This repository contains scripts for the publication:

Randhawa, N., Mailhot, H., Lang, D.T. et al. Fine scale infectious disease modeling using satellite-derived data. Sci Rep 11, 6946 (2021).

General session info

R version 3.6.0 (2019-04-26)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
[1] compiler_3.6.0 tools_3.6.0