Hospital Wastewater Surveillance of SARS-CoV-2 RNA: Association With COVID-19 Cases and Insights into Environmental Persistence

Introduction: Analyzing municipal wastewater for the presence of SARS-CoV-2 RNA serves as a cost-effective and timely tool for epidemiological surveillance to mitigate virus-related health risks. Therefore, this study assessed the presence of SARS-CoV-2 RNA in untreated hospital wastewater and its correlation with COVID-19 case numbers over six months at Shahidzadeh Hospital in southwest Iran. Materials and Methods: In this analytical investigation, a total of 24 grab samples of untreated hospital wastewater were systematically collected over six months, spanning from September 2020 to February 2021. Each sample was subsequently processed and analyzed using a reverse transcription quantitative polymerase chain reaction (RT-qPCR) approach, with specific amplification targeting both the RNA-dependent RNA polymerase (RdRp) gene and the nucleocapsid (N) gene of SARS-CoV-2. Results: All 24 wastewater samples tested positive for SARS-CoV-2 RNA. Concentrations ranged between 130 to 490 gene copies/100 mL, with mean values increasing from 247 (September) to 425 (February). RNA levels were strongly correlated with hospitalized COVID-19 cases (Spearman’s p < 0.05, R² = 0.87). Conclusion: These findings highlight the value of hospital wastewater surveillance as a cost-effective epidemiological tool, particularly in settings with limited diagnostic capacity. Future research should investigate viral viability and optimize disinfection strategies to reduce potential environmental risk.

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Publication Details

Journal
Journal of Environmental Health and Sustainable Development
Published
2025-09-29
DOI
https://doi.org/10.18502/jehsd.v10i3.19791
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
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article

Hospital Wastewater Surveillance of SARS-CoV-2 RNA: Association With COVID-19 Cases and Insights into Environmental Persistence

Niloofar Neisi, Maryam Mehrbakhsh, Rozhan Feizi, Masoud Panahi Fard et al.
Journal of Environmental Health and Sustainable Development
SARS-CoV-2 detection and testing
article

Hospital Wastewater Surveillance of SARS-CoV-2 RNA: Association With COVID-19 Cases and Insights into Environmental Persistence

Niloofar Neisi, Maryam Mehrbakhsh, Rozhan Feizi, Masoud Panahi Fard, Abdollah Dargahi, Neematollah Jaafarzadeh
article en

Abstract

Introduction: Analyzing municipal wastewater for the presence of SARS-CoV-2 RNA serves as a cost-effective and timely tool for epidemiological surveillance to mitigate virus-related health risks. Therefore, this study assessed the presence of SARS-CoV-2 RNA in untreated hospital wastewater and its correlation with COVID-19 case numbers over six months at Shahidzadeh Hospital in southwest Iran. Materials and Methods: In this analytical investigation, a total of 24 grab samples of untreated hospital wastewater were systematically collected over six months, spanning from September 2020 to February 2021. Each sample was subsequently processed and analyzed using a reverse transcription quantitative polymerase chain reaction (RT-qPCR) approach, with specific amplification targeting both the RNA-dependent RNA polymerase (RdRp) gene and the nucleocapsid (N) gene of SARS-CoV-2. Results: All 24 wastewater samples tested positive for SARS-CoV-2 RNA. Concentrations ranged between 130 to 490 gene copies/100 mL, with mean values increasing from 247 (September) to 425 (February). RNA levels were strongly correlated with hospitalized COVID-19 cases (Spearman’s p < 0.05, R² = 0.87). Conclusion: These findings highlight the value of hospital wastewater surveillance as a cost-effective epidemiological tool, particularly in settings with limited diagnostic capacity. Future research should investigate viral viability and optimize disinfection strategies to reduce potential environmental risk.

Journal of Environmental Health and Sustainable Development
Ahvaz Jundishapur University of Medical Sciences (IR), Lorestan University of Medical Sciences (IR)
Openalex Percentile: Top 68%
SARS-CoV-2 detection and testing
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