The potential of long‐term wastewater‐based surveillance to predict COVID‐19 waves peak in Mexico DOI Creative Commons
Marcela Zavala‐Méndez, Andrés Sánchez‐Pájaro, Astrid Schilmann

et al.

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(5)

Published: May 1, 2025

Abstract Wastewater‐based surveillance (WBS) is valuable method for monitoring the dispersion of pathogens at a low cost. However, their impact on public health decision‐making limited because there lack long‐term analyses, especially in low‐ and middle‐income countries. This study aimed to assess effectiveness using WBS predict occurrence COVID‐19 waves estimate prevalence infection, emphasizing SARS‐CoV‐2 variants. During 17 months influent two wastewater treatment plants Queretaro City, Mexico, wave prediction time was influenced by variant dispersion. Waves dominated Delta Omicron variants circulation showed lead days values from 5 14 1 4 days, respectively. According Monte Carlo model, disease aligned with clinically reported cases onsets, but variant's transmissibility explained overestimation during peaks. work provides new insights into potential limitations as an epidemiological tool detecting predicting occurrence. Practitioner Points Long‐term allowed early case waves. The capability related presence infectivity. estimated higher all estimation has regarding variations data input.

Language: Английский

What is eDNA method standardisation and why do we need it? DOI Creative Commons
Susanna Theroux, Adam J. Sepulveda, Cathryn L. Abbott

et al.

Metabarcoding and Metagenomics, Journal Year: 2025, Volume and Issue: 9

Published: Feb. 13, 2025

The rapid advancement of environmental DNA (eDNA) science in the past two decades has inspired a concomitant growth development eDNA sampling and analytical methods. However, these methods are often developed by individual laboratories or institutions, which can isolate protocols within programmes, agencies regions prevent beneficial exchange data ideas. Recent efforts to advance national international coordination have resulted groundswell standardisation efforts, but there is still considerable confusion around role formal standards for regulatory research applications. With this commentary, we hope provide clarity on terminology used discussions, including differences between best practice guidelines. Additionally, discuss how method choice may be informed management scenarios review examples being inform action. community now an opportunity develop roadmap help close gaps, adoption accelerate our ability monitor biological life at scales current challenges demand.

Language: Английский

Citations

0

Academic institution extensive, building-by-building wastewater-based surveillance platform for SARS-CoV-2 monitoring, clinical data correlation, and potential national proxy DOI Creative Commons
Arnoldo Armenta-Castro, Mariel Araceli Oyervides-Muñoz, Alberto Aguayo-Acosta

et al.

PLOS Global Public Health, Journal Year: 2025, Volume and Issue: 5(5), P. e0003756 - e0003756

Published: May 9, 2025

In this work, we report on the performance of an extensive, building-by-building wastewater surveillance platform deployed across 38 locations largest private university system in Mexico, spanning 19 32 states, to detect SARS-CoV-2 genetic materials during COVID-19 pandemic. Sampling took place weekly from January 2021 and June 2022. Data 343 sampling sites was clustered by campus state evaluated through its correlation with seven-day average daily new cases each cluster. Statistically significant linear correlations (p-values below 0.05) were found 25 campuses 13 states. Moreover, evaluate effectiveness epidemiologic containment measures taken institution potential as representative points for future public health emergencies Monterrey Metropolitan Area, between viral loads samples be stronger Dulces Nombres, treatment plant city (Pearson coefficient: 0.6456, p-value: 6.36710 −8 ), than study 0.4860, 8.288x10 −5 ). However, when comparing data after urban mobility returned pre-pandemic levels, levels both became comparable (0.894 0.865 Nombres). This work provides a basic framework implementation analysis similar decentralized platforms address sanitary emergencies, allowing efficient return priority in-person activities while preventing becoming transmission hotspots.

Language: Английский

Citations

0

The potential of long‐term wastewater‐based surveillance to predict COVID‐19 waves peak in Mexico DOI Creative Commons
Marcela Zavala‐Méndez, Andrés Sánchez‐Pájaro, Astrid Schilmann

et al.

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(5)

Published: May 1, 2025

Abstract Wastewater‐based surveillance (WBS) is valuable method for monitoring the dispersion of pathogens at a low cost. However, their impact on public health decision‐making limited because there lack long‐term analyses, especially in low‐ and middle‐income countries. This study aimed to assess effectiveness using WBS predict occurrence COVID‐19 waves estimate prevalence infection, emphasizing SARS‐CoV‐2 variants. During 17 months influent two wastewater treatment plants Queretaro City, Mexico, wave prediction time was influenced by variant dispersion. Waves dominated Delta Omicron variants circulation showed lead days values from 5 14 1 4 days, respectively. According Monte Carlo model, disease aligned with clinically reported cases onsets, but variant's transmissibility explained overestimation during peaks. work provides new insights into potential limitations as an epidemiological tool detecting predicting occurrence. Practitioner Points Long‐term allowed early case waves. The capability related presence infectivity. estimated higher all estimation has regarding variations data input.

Language: Английский

Citations

0