Passive sampling to scale wastewater surveillance of infectious disease: Lessons learned from COVID-19

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 835, P. 155347 - 155347

Published: April 21, 2022

Much of what is known and theorized concerning passive sampling techniques has been developed considering chemical analytes. Yet, historically, biological analytes, such as Salmonella typhi, have collected from wastewater via with Moore swabs. In response to the COVID-19 pandemic, re-emerging a promising technique monitor SARS-CoV-2 RNA in wastewater. Method comparisons disease surveillance using composite, grab, for detection found variety materials routinely produced qualitative results superior grab samples useful sub-sewershed COVID-19. Among individual studies, concentrations derived samplers demonstrated heterogeneous correlation paired composite ranging weak (R2 = 0.27, 0.31) moderate 0.59) strong 0.76). sampler materials, electronegative membranes shown great promise linear uptake observed exposure durations 24 48 h several cases positivity on par samples. Continuing development methods infectious diseases diverse forms fecal waste should focus optimizing efficient recovery kit-free extraction, resource-efficient testing capable rapidly producing or quantitative data. With refinements could prove be fundamental tool scaling disease, especially among 1.8 billion persons living low-resource settings served by non-traditional collection infrastructure.

Language: Английский

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Citywide wastewater SARS-CoV-2 levels strongly correlated with multiple disease surveillance indicators and outcomes over three COVID-19 waves

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 855, P. 158967 - 158967

Published: Sept. 24, 2022

Language: Английский

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Wastewater surveillance of SARS-CoV-2 genomic populations on a country-wide scale through targeted sequencing

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(4), P. e0284483 - e0284483

Published: April 21, 2023

SARS-CoV-2 surveillance of viral populations in wastewater samples is recognized as a useful tool for monitoring epidemic waves and boosting health preparedness. Next generation sequencing RNA isolated from convenient cost-effective strategy to understand the molecular epidemiology provide insights on population dynamics variants at community level. However, low- middle-income countries, groups have performed data has not been extensively shared scientific community. Here we report results co-circulation abundance concern (VOCs) Uruguay, small country Latin America, between November 2020—July 2021 using surveillance. was characterized by targeted Receptor Binding Domain region within spike gene. Two computational approaches were used track variants. The analysis showed transition overall predominance No-VOCs successive VOCs, agreement with clinical nasal swabs. mutations K417T, E484K N501Y, that characterize Gamma VOC, detected early December 2020, several weeks before first case reported. Interestingly, non-synonymous mutation described Delta L452R, very low frequency since April when recently sequence (SAM Refiner). Wastewater NGS-based reliable complementary introduction prevalence VOCs level allowing public decisions. This approach allows tracking symptomatic asymptomatic individuals, who are generally under-reported countries limited testing capacity. Our suggests wastewater-based can contribute improving responses countries.

Language: Английский

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Wastewater surveillance for viral pathogens: A tool for public health

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33873 - e33873

Published: June 29, 2024

A focus on water quality has intensified globally, considering its critical role in sustaining life and ecosystems. Wastewater, reflecting societal development, profoundly impacts public health. Wastewater-based epidemiology (WBE) emerged as a surveillance tool for detecting outbreaks early, monitoring infectious disease trends, providing real-time insights, particularly vulnerable communities. WBE aids tracking pathogens, including viruses, sewage, offering comprehensive understanding of community health lifestyle habits. With the rise global COVID-19 cases, gained prominence, aiding SARS-CoV-2 levels worldwide. Despite advancements treatment, poorly treated wastewater discharge remains threat, amplifying spread water-, sanitation-, hygiene (WaSH)-related diseases. WBE, serving complementary surveillance, is pivotal community-level viral infections. However, there untapped potential to expand surveillance. This review emphasizes importance link between health, highlighting need further integration into management.

Language: Английский

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Covid-19, an unfinished story

La Presse Médicale, Journal Year: 2022, Volume and Issue: 51(3), P. 104131 - 104131

Published: June 4, 2022

Language: Английский

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Nonbacterial Microflora in Wastewater Treatment Plants: an Underappreciated Potential Source of Pathogens

Microbiology Spectrum, Journal Year: 2023, Volume and Issue: 11(3)

Published: May 24, 2023

Wastewater treatment plants (WWTPs) receive and treat large volumes of domestic, industrial, urban wastewater containing pathogenic nonpathogenic microorganisms, chemical compounds, heavy metals, other potentially hazardous substances. WWTPs play an essential role in preserving human, animal, environmental health by removing many these toxic infectious agents, particularly biological hazards. contains complex consortiums bacterial, viral, archaeal, eukaryotic species, while bacteria WWTP have been extensively studied, the temporal spatial distribution nonbacterial microflora (viruses, archaea, eukaryotes) is less understood. In this study, we analyzed throughout a plant (raw influent, effluent, oxidation pond water, sediment) Aotearoa (New Zealand) using Illumina shotgun metagenomic sequencing. Our results suggest similar trend across taxa, with increase relative abundance samples compared to influent effluent samples, except for which had opposite trend. Additionally, some microbial families, such as Podoviridae bacteriophages Apicomplexa alveolates, appeared largely unaffected process, their remaining stable throughout. Several groups encompassing Leishmania, Plasmodium, Toxoplasma, Apicomplexa, Cryptococcus, Botrytis, Ustilago, were identified. If present, species could be threat human animal agricultural productivity; therefore, further investigation warranted. These pathogens should considered when assessing potential vector transmission, biosolids land, discharge treated waterways or land. IMPORTANCE Nonbacterial remain understudied bacterial counterparts despite importance process. report distributions DNA viruses, protozoa, fungi raw sediments study indicated presence taxa encompass that may cause disease humans, animals, crops. We also observed higher alpha diversity than samples. This suggests resident making greater contribution previously thought. provides important insights better understand impacts discharged wastewater.

Language: Английский

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Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review

JMIR Public Health and Surveillance, Journal Year: 2023, Volume and Issue: 10, P. e49185 - e49185

Published: Dec. 7, 2023

Public health surveillance plays a vital role in informing public decision-making. The onset of the COVID-19 pandemic early 2020 caused widespread shift priorities. Global efforts focused on monitoring and contact tracing. Existing programs were interrupted due to physical distancing measures reallocation resources. intersected with advancements technologies that have potential support efforts.

Language: Английский

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Development and Validation of a Respiratory-Responsive Vocal Biomarker–Based Tool for Generalizable Detection of Respiratory Impairment: Independent Case-Control Studies in Multiple Respiratory Conditions Including Asthma, Chronic Obstructive Pulmonary Disease, and COVID-19

Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e44410 - e44410

Published: Feb. 28, 2023

Vocal biomarker-based machine learning approaches have shown promising results in the detection of various health conditions, including respiratory diseases, such as asthma.This study aimed to determine whether a respiratory-responsive vocal biomarker (RRVB) model platform initially trained on an asthma and healthy volunteer (HV) data set can differentiate patients with active COVID-19 infection from asymptomatic HVs by assessing its sensitivity, specificity, odds ratio (OR).A logistic regression using weighted sum voice acoustic features was previously validated approximately 1700 confirmed diagnosis similar number controls. The same has generalizability chronic obstructive pulmonary disease, interstitial lung cough. In this study, 497 participants (female: n=268, 53.9%; <65 years old: n=467, 94%; Marathi speakers: n=253, 50.9%; English n=223, 44.9%; Spanish n=25, 5%) were enrolled across 4 clinical sites United States India provided samples symptom reports their personal smartphones. included who are symptomatic positive negative well HVs. RRVB performance assessed comparing it reverse transcriptase-polymerase chain reaction.The ability conditions controls demonstrated validation asthma, cough, ORs 4.3, 9.1, 3.1, 3.9, respectively. performed sensitivity 73.2%, specificity 62.9%, OR 4.64 (P<.001). Patients experienced symptoms detected more frequently than those did not experience completely (sensitivity: 78.4% vs 67.4% 68%, respectively).The good geographies, languages. Results demonstrate meaningful potential serve prescreening tool for identifying individuals at risk combination temperature reports. Although test, these suggest that encourage targeted testing. Moreover, detecting different linguistic geographic contexts suggests path development voice-based tools broader disease surveillance monitoring applications future.

Language: Английский

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Strengthening Infrastructure Resilience for Climate Change Mitigation: Case Studies from the Southeast Asia Region with a Focus on Wastewater Treatment Plants in Addressing Flooding Challenges

ACS ES&T Water, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 31, 2024

Climate change poses challenges to infrastructure resilience in Southeast Asia's flood-prone regions. This study identifies and evaluates strategies for enhancing through wastewater treatment plants (WWTPs) Singapore, Malaysia, Thailand, Indonesia. Using a mixed-method approach, we analyzed the case studies conducted quantitative assessments of flood mitigation efforts. Data were collected (2021–2024) site visits, interviews with key stakeholders, analysis historical performance data. involved statistical methods assessing their effectiveness comparative analyses across them. Singapore reduced areas by 30% using integrated WWTP technologies drainage systems, while Malaysia developed resilient networks WWTPs designed withstand extreme weather, preventing 85% contamination cases. Thailand combined green blue WWTPs, decreasing vulnerability 25%. Indonesia invested decentralized urban areas, increasing 40%. Nature-based solutions, such as ecological restoration, reduce flooding impacts 20%. The implications policymakers practitioners include need integrate advanced nature-based solutions bolster mitigate risks. offers insights into developing effective climate adaptation flood-vulnerable regions, emphasizing critical role resilience.

Language: Английский

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Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey

Epidemics, Journal Year: 2024, Volume and Issue: 49, P. 100793 - 100793

Published: Sept. 26, 2024

Language: Английский

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