WASTEWATER-BASED EPIDEMIOLOGY FOR SARS-COV-2 SURVEILLANCE IN A HEALTHCARE COMPLEX: A CROSS-SECTIONAL STUDY AT UNIVERSITY COLLEGE HOSPITAL, IBADAN, NIGERIA DOI Creative Commons

Aliu Olalekan Olatunji

Published: Aug. 6, 2024

BACKGROUND: The COVID-19 pandemic, driven by SARS-CoV-2, has posed significant global health challenges since late 2019. Efficient monitoring of the virus's spread is crucial for controlling outbreaks and implementing effective public measures. Wastewater-based epidemiology (WBE) emerged as a promising method surveillance detecting viral RNA in sewage, indicating community-level infection rates. This study aims to evaluate presence SARS-CoV-2 wastewater samples from various residential buildings within University College Hospital (UCH) complex Ibadan, Nigeria. METHODS: Conducted cross-sectional study, were collected housing medical staff students UCH complex. A total 180 untreated systematically analyzed using reverse transcription-polymerase chain reaction (RT-PCR) detect RNA. Factors such building type, population density, proximity facilities examined their influence on RESULT: Among analyzed, 3 (1.9%) tested positive Most (98.1%) did not contain detectable preliminary pilot demonstrated methodology's capability virus wastewater, irrespective type. distribution suggests potential WBE early detection densely populated healthcare settings. CONCLUSION: findings underscore feasibility employing robust tool tracking urban environments like UCH. low prevalence highlights effectiveness current measures importance continuous monitoring. contributes valuable insights into dynamics shedding transmission, supporting implementation other settings pandemic response.

Language: Английский

The influence of environmental factors on the detection and quantification of SARS-CoV-2 variants in dormitory wastewater at a primarily undergraduate institution DOI Creative Commons
Chequita N. Brooks,

Suzanne Brooks,

Jeannette M. Beasley

et al.

Microbiology Spectrum, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

ABSTRACT Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome 2 (SARS-CoV-2), has been crucial in tracking spread and informing public health decisions. Wastewater-based epidemiology helped to alleviate some strain testing through broader, population-level surveillance, applied widely on college campuses. However, questions remain about impact various sampling methods, target types, environmental factors, infrastructure variables SARS-CoV-2 detection. Here, we present a data set over 800 wastewater samples that sheds light influence variety these factors quantification using droplet digital PCR (ddPCR) from building-specific sewage infrastructure. We consistently quantified significantly higher number copies virus per liter nucleocapsid (N2) compared 1 (N1), regardless method (grab vs composite). further show dormitory-specific differences abundance, including correlations dormitory population size. Environmental like precipitation temperature little no load, with exception temperatures grab sample data. observed gene copy numbers Omicron variant than Delta within ductile iron pipes but difference abundance (N1 or N2) across three different pipe types our set. Our results indicate contextual should be considered when interpreting wastewater-based epidemiological IMPORTANCE viral RNA is shed by symptomatic asymptomatic infected individuals, allowing its genetic material detected wastewater. used measure several dormitories Appalachian State University campus examined quantification. Changes were based type, as well trends variants method. These highlight value applying data-inquiry practices this study better contextualize results.

Language: Английский

Citations

0
Enabling quantitative comparison of wastewater surveillance data across methods through data standardization without method standardization DOI
Noriko Endo,

Aika Hisahara,

Yukiko Kameda

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176073 - 176073

Published: Sept. 7, 2024

Language: Английский

Citations

3
Behind the bars: Wastewater-based surveillance of SARS-CoV-2, and its variants in prison wastewater DOI Creative Commons
Siti Aishah Rashid, Khayri Azizi Kamel, Raheel Nazakat

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(6), P. e43063 - e43063

Published: March 1, 2025

Language: Английский

Citations

0
WASTEWATER-BASED EPIDEMIOLOGY FOR SARS-COV-2 SURVEILLANCE IN A HEALTHCARE COMPLEX: A CROSS-SECTIONAL STUDY AT UNIVERSITY COLLEGE HOSPITAL, IBADAN, NIGERIA DOI Creative Commons

Aliu Olalekan Olatunji

Published: Aug. 6, 2024

BACKGROUND: The COVID-19 pandemic, driven by SARS-CoV-2, has posed significant global health challenges since late 2019. Efficient monitoring of the virus's spread is crucial for controlling outbreaks and implementing effective public measures. Wastewater-based epidemiology (WBE) emerged as a promising method surveillance detecting viral RNA in sewage, indicating community-level infection rates. This study aims to evaluate presence SARS-CoV-2 wastewater samples from various residential buildings within University College Hospital (UCH) complex Ibadan, Nigeria. METHODS: Conducted cross-sectional study, were collected housing medical staff students UCH complex. A total 180 untreated systematically analyzed using reverse transcription-polymerase chain reaction (RT-PCR) detect RNA. Factors such building type, population density, proximity facilities examined their influence on RESULT: Among analyzed, 3 (1.9%) tested positive Most (98.1%) did not contain detectable preliminary pilot demonstrated methodology's capability virus wastewater, irrespective type. distribution suggests potential WBE early detection densely populated healthcare settings. CONCLUSION: findings underscore feasibility employing robust tool tracking urban environments like UCH. low prevalence highlights effectiveness current measures importance continuous monitoring. contributes valuable insights into dynamics shedding transmission, supporting implementation other settings pandemic response.

Language: Английский

Citations

0