Software. Reproducible results. Wastewater-based epidemiology  framework: Collaborative modeling for sustainable disease surveillance

Néstor DelaPaz-Ruíz; Ellen-Wien Augustijn; Mahdi Farnaghi; Shaheen A. Abdulkareem; Raul Zurita-Milla

doi:10.5281/ZENODO.14883767

Software. Reproducible results. Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance

Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Shaheen A. Abdulkareem, Raul Zurita-Milla

Research output: Non-textual form › Software › Academic

Abstract

This repository provides access to the materials (code-data), software-environments (NetLogo, Rstudio, Docker containers), and the steps for reproducing the results from the publication: Wastewater-based epidemiology framework: Integrating modeling for disease surveillance

Original language	English
Publisher	Zenodo
DOIs	https://doi.org/10.5281/ZENODO.14883767
Publication status	Published - 17 Feb 2025

Keywords

Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5281/ZENODO.14883767Licence: CC BY

Cite this

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title = "Software. Reproducible results. Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance",

abstract = "This repository provides access to the materials (code-data), software-environments (NetLogo, Rstudio, Docker containers), and the steps for reproducing the results from the publication: Wastewater-based epidemiology framework: Integrating modeling for disease surveillance",

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AU - DelaPaz-Ruíz, Néstor

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AU - Farnaghi, Mahdi

AU - Abdulkareem, Shaheen A.

AU - Zurita-Milla, Raul

PY - 2025/2/17

Y1 - 2025/2/17

N2 - This repository provides access to the materials (code-data), software-environments (NetLogo, Rstudio, Docker containers), and the steps for reproducing the results from the publication: Wastewater-based epidemiology framework: Integrating modeling for disease surveillance

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Software. Reproducible results. Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

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Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

Wastewater-based epidemiology framework: Collaborative modeling for sustainable disease surveillance

Modeling spatiotemporal domestic wastewater variability: Implications for measuring treatment efficiency

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