Analysis code for Wastewater surveillance predicts Mpox outbreak dynamics in a resource-limited urban setting

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Authors: Andrew Nsawotebba, Jonathan Kabazzi
Cited by: 0

Abstract

Wastewater-Based Epidemiological Surveillance of Mpox Virus (MPXV) in Kampala Metropolitan Area, Uganda — February to September 2025 This repository contains the statistical analysis pipeline for a wastewater-based epidemiological (WBE) surveillance study of Mpox virus across four treatment facilities in the Kampala metropolitan area over 32 consecutive weeks (Epidemiological Weeks 6–37, 2025). Study Overview Objective: Evaluate whether MPXV genomic copies detected in wastewater (WW) correlate with and lead clinical mpox positivity rates in Kampala, Uganda, and quantify the early-warning potential of wastewater surveillance across four sites. The code performs descriptive statistics, Shapiro–Wilk normality testing, Wilcoxon tests with Holm correction, Quenouille-adjusted effective sample size estimation, Spearman correlation, ±4-week lead–lag analysis with BH correction, Theil–Sen regression with bootstrap confidence intervals, and exploratory GEE modelling. All figures and supplementary tables are generated programmatically to ensure full reproducibility.

Fields of Study & Subjects

SARS-CoV-2 detection and testing Data-Driven Disease Surveillance Poxvirus research and outbreaks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN
Document type
Book