SEEDNet Library and Repository of datasets and replication files associated with the manuscript entitled 'SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis'
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 3 of 3 Results
SEEDNet Library
SEEDNet Library
Aug 3, 2024
Bassani, Diego G; Darooneh, Amir Hossein; Kortenaar, Jean-Luc; Goulart, Celine M; McLaughlin, Katie; Cornelius, Sean P, 2024, "SEEDNet Library", https://doi.org/10.5683/SP3/7XSBPS, Borealis, V3
SEEDNet (Settlement-level Epidemiological Estimates Database for Network Analysis) is an open-source data library of multi-country representations of population health across human settlements. The methods for generating the settlement-level health indicators from national survey...
Replication Data for: SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis
Replication Data for: SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis
Aug 2, 2024
Darooneh, Amir Hossein; Kortenaar, Jean-Luc; Goulart, Celine M; McLaughlin, Katie; Cornelius, Sean P; Bassani, Diego G, 2024, "Replication Data for: SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis", https://doi.org/10.5683/SP3/XBGKZN, Borealis, V1, UNF:6:FoYx4RegpcAuHgairx6bdQ== [fileUNF]
Replication files and link to code for technical validation. Code and replication files can be downloaded here: https://github.com/DiegoGBassani/SEEDNet
(Shapefiles - Validation countries) SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis
(Shapefiles - Validation countries) SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis
Aug 2, 2024
Darooneh, Amir Hossein; Kortenaar, Jean-Luc; Goulart, Celine M; McLaughlin, Katie; Cornelius, Sean P; Bassani, Diego G, 2024, "(Shapefiles - Validation countries) SEEDNet: A covariate-free multi-country settlement-level database of epidemiological estimates for network analysis", https://doi.org/10.5683/SP3/R0DPTZ, Borealis, V1
This folder includes the shapefiles for the 10 validation countries included in the manuscript. Abstract: The study of population health through network science holds high promise, but data sources that allow complete representation of populations are limited in low- and middle-i...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.