# A One-Year Wastewater-Based Surveillance Study of the Main Human Respiratory Viruses in a Middle-Size Spanish City During the COVID-19 Pandemic Period

**Authors:** Lorena Casado-Martín, Marta Hernández, María José González-Peña, Mariana Alves-Elois, Nadine Yeramian, Gislaine Fongaro, José María Eiros, David Rodríguez-Lázaro

PMC · DOI: 10.3390/microorganisms14010151 · 2026-01-09

## TL;DR

This study used wastewater to track respiratory viruses in a Spanish city during the pandemic, showing how wastewater monitoring can help predict virus spread and inform public health decisions.

## Contribution

The study demonstrates wastewater-based epidemiology's effectiveness in monitoring SARS-CoV-2 and other respiratory viruses in a middle-size city during the pandemic.

## Key findings

- Wastewater monitoring showed a strong correlation with clinical SARS-CoV-2 cases.
- Influenza A, B, and RSV-B were not detected during the study period.
- RSV-A prevalence decreased likely due to pandemic-related non-pharmaceutical interventions.

## Abstract

Respiratory infections are a major public health threat. Significant global mortality is caused by influenza viruses, the new SARS-CoV-2 virus, and the Respiratory Syncytial Viruses (RSVs). Wastewater-based epidemiology (WBE) has recently emerged as a valuable tool for monitoring these pathogens, providing insights into their evolution, transmission patterns, and co-circulation within populations. This study aimed to track influenza viruses (A and B), the new SARS-CoV-2 virus, and the Respiratory Syncytial Viruses (RSVs) (type A and B) during the pandemic period (from October 2020 to October 2021) in a middle-size Spanish city (Valladolid) and its surrounding areas. Viral concentration was performed using an aluminum-based precipitation method, followed by RNA extraction and RT-qPCR quantification targeting the N1 and N2 regions of the SARS-CoV-2 nucleocapsid gene, the N gene for both RSV-A and RSV-B, and the M and non-structural protein genes for influenza A and B, respectively. The results demonstrated the utility of WBE in predicting increases in clinical cases of SARS-CoV-2, as evidenced by a high correlation (r > 0.5). For RSV-A, the findings aligned with previous studies. Interestingly, particularly considering the length and period of analysis, influenza A, influenza B, and RSV-B viruses were not observed during the study period. In addition, the prevalence of RSV-A decreased during the SARS-CoV-2 pandemic, likely due to the implementation of non-pharmaceutical interventions. In conclusion, this study reaffirms that WBE provides critical epidemiological insights, complements clinical surveillance, and supports public health authorities in making informed and timely decisions.

## Linked entities

- **Proteins:** non-structural protein (non-structural protein)
- **Diseases:** influenza (MONDO:0005812), SARS-CoV-2 (MONDO:0100096)

## Full-text entities

- **Genes:** M (membrane glycoprotein) [NCBI Gene 43740571], N (nucleocapsid phosphoprotein) [NCBI Gene 43740575]
- **Diseases:** Respiratory infections (MESH:D012141), COVID-19 (MESH:D000086382)
- **Chemicals:** RSV-A (-), aluminum (MESH:D000535)
- **Species:** Orthomyxoviridae (family) [taxon 11308], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12843686/full.md

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Source: https://tomesphere.com/paper/PMC12843686