Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review

Multimedia Tools and Applications, Год журнала: 2023, Номер 83(2), С. 5893 - 5927

Опубликована: Май 29, 2023

Abstract Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps timely detection of any infectious disease (IDs) essential to management diseases prediction future occurrences. Many scientists scholars have implemented DL techniques for pandemics, IDs other healthcare-related purposes, these outcomes are with various limitations research gaps. For purpose achieving an accurate, efficient less complicated DL-based system therefore, this study carried out systematic literature review (SLR) on pandemics using techniques. The survey anchored by four objectives state-of-the-art forty-five papers seven hundred ninety retrieved from different scholarly databases was analyze evaluate trend application areas pandemics. This used tables graphs extracted related articles online repositories analysis showed that good tool pandemic prediction. Scopus Web Science given attention current because they contain suitable scientific findings subject area. Finally, presents forty-four (44) studies technique performances. challenges identified include low performance model due computational complexities, improper labeling absence high-quality dataset among others. suggests possible solutions such as development improved or reduction output layer architecture pandemic-prone considerations.

Язык: Английский

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Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Food and Environmental Virology, Год журнала: 2023, Номер 15(2), С. 131 - 143

Опубликована: Май 3, 2023

Язык: Английский

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Small-scale wastewater-based epidemiology (WBE) for infectious diseases and antibiotic resistance: A scoping review

International Journal of Hygiene and Environmental Health, Год журнала: 2024, Номер 259, С. 114379 - 114379

Опубликована: Апрель 15, 2024

Wastewater analysis can serve as a source of public health information. In recent years, wastewater-based epidemiology (WBE) has emerged and proven useful for the detection infectious diseases. However, insights from wastewater treatment plant do not allow small-scale differentiation within sewer system that is needed to analyze target population under study in more detail. Small-scale WBE offers several advantages, but there been no systematic overview its application. The aim this scoping review provide comprehensive current state knowledge on diseases, including methodological considerations A database search was conducted, considering only peer-reviewed articles. Data analyses included quantitative summary qualitative narrative synthesis. Of 2130 articles, we 278, most which were published since 2020. studies analyzed at building level (n = 203), especially healthcare 110) educational facilities 80), neighborhood scale 86). main analytical parameters viruses 178), notably SARS-CoV-2 161), antibiotic resistance (ABR) biomarkers 99), often by polymerase chain reaction (PCR), with DNA sequencing techniques being less common. terms sampling techniques, active dominated. frequent lack detailed information specification selection criteria characterization sites identified concern. conclusion, based large number studies, overarching strategic aspects WBE. An enabling environment requires inter- transdisciplinary sharing across countries. Promoting adoption will benefit common international conceptualization approach, standardized internationally accepted terminology. particular, development good practices different warranted. This includes establishment guidelines local sub-sewersheds, transparent reporting ensure comparability results.

Язык: Английский

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Testing methods to estimate population size for wastewater treatment plants using census data: Implications for wastewater-based epidemiology

The Science of The Total Environment, Год журнала: 2024, Номер 922, С. 170974 - 170974

Опубликована: Фев. 13, 2024

In wastewater-based epidemiology (WBE), wastewater loads are commonly reported as a per capita value. Census population counts often used to obtain size normalise loads. However, the methods calculate of treatment plants (WWTPs) from census data rarely in WBE literature. This is problematic because geographical extents catchments and area units align perfectly with each other exist at different spatial scales. complicates efforts estimate number people serviced by WWTPs these units. study compared four geospatial combine catchment areas plants. These were applied nationally across New Zealand. Population estimates varied up 73 % between methods, which could skew comparisons sites. Variability (relative standard deviation, RSD) was significantly higher smaller (rs = −0.727, P < .001), highlighting importance method selection broadly similar those provided operators, but significant variation observed for some sites (ranging 42 lower 78 higher, RSD 262 %). We present widely applicable census, involves disaggregating individual properties. The results reinforce need transparent reporting maintain confidence comparison studies.

Язык: Английский

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Economic Evaluation of Wastewater Surveillance Combined with Clinical COVID-19 Screening Tests, Japan

Emerging infectious diseases, Год журнала: 2023, Номер 29(8)

Опубликована: Июль 13, 2023

The COVID-19 pandemic has imposed substantial burdens on the global society. To find an optimal combination of wastewater surveillance and clinical testing for tracking COVID-19, we evaluated economic efficiency hypothetical screening options at a single facility in Japan. conduct cost-benefit analyses, developed standard decision models which assumed model parameters from literature primary data, such as policies used Tokyo Olympic Paralympic Village 2021. We compared 2-step that PCR to diagnose after positive result using antigen tests (option 1) or 2). Our simulation results indicated option 2 likely would be economically more justifiable than 1, particularly lower incidence levels. findings could help justify promote use level other infectious diseases.

Язык: Английский

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Campus node-based wastewater surveillance enables COVID-19 case localization and confirms lower SARS-CoV-2 burden relative to the surrounding community

Water Research, Год журнала: 2023, Номер 244, С. 120469 - 120469

Опубликована: Авг. 8, 2023

Wastewater-based surveillance (WBS) has been established as a powerful tool that can guide health policy at multiple levels of government. However, this approach not well assessed more granular scales, including large work sites such University campuses. Between August 2021 and April 2022, we explored the occurrence SARS-CoV-2 RNA in wastewater using qPCR assays from complimentary sewer catchments residential buildings spanning Calgary's campus how compared to municipal treatment plant servicing campus. Real-time contact tracing data was used evaluate an association between burden clinically confirmed cases assess potential WBS for disease monitoring across worksites. Concentrations N1 N2 varied significantly six sampling - regardless several normalization strategies with certain consistently demonstrating values 1-2 orders higher than others. Relative clinical identified specific sewersheds, provided one-week leading indicator. Additionally, our comprehensive strategy enabled estimation total per capita, which lower surrounding community (p≤0.001). Allele-specific variants were representative large, no time did emerging first debut on This study demonstrates be efficiently applied locate hotspots activity very scale, predict complex

Язык: Английский

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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples

Journal of Biophotonics, Год журнала: 2024, Номер unknown

Опубликована: Март 20, 2024

In this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. case diseases, wastewater monitoring can be used to detect presence inflammation biomarkers, such as proposed C-reactive protein, inflammatory conditions and mass screening during epidemics early communities concern, hospitals, schools, so on. The will eliminate need time-consuming processes, which contribute reducing costs. spectra range 220-750 nm were study. We achieve accuracy our prediction model up 68% using only absorption spectrophotometer learning. use a set makes universal, due possibility many different detectors.

Язык: Английский

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Exploration on wastewater-based epidemiology of SARS-CoV-2: Mimic relative quantification with endogenous biomarkers as internal reference

Heliyon, Год журнала: 2023, Номер 9(5), С. e15705 - e15705

Опубликована: Апрель 23, 2023

Wastewater-based epidemiology has become a powerful surveillance tool for monitoring the pandemic of COVID-19. Although it is promising to quantitatively correlate SARS-CoV-2 RNA concentration in wastewater with incidence community infection, there still no consensus on whether viral nucleic acid sewage should be normalized against abundance endogenous biomarkers and which biomarker used as reference normalization. Here, several candidate normalization signal municipal were evaluated. The human fecal indicator virus (crAssphage) data both DNA viruses its intrinsic nature high stable content sewage. Without constructing standard curves, relative quantification can COVID-19 incidence, was proved via mimic experiments by spiking pseudovirus different concentrations samples. Dilution pseudovirus-seeded did not affect acid, demonstrating that overcome dilution effects caused greywater input, precipitation and/or groundwater infiltration. process concentration, recovery detection consistent RNA. Thus, necessary co-quantify because only an internal normalization, but also control.

Язык: Английский

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Portable, single nucleotide polymorphism-specific duplex assay for virus surveillance in wastewater

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168701 - 168701

Опубликована: Ноя. 20, 2023

Язык: Английский

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Modelling COVID-19 epidemic curve in Taipei City, Taiwan by a Citywide Wastewater SARS-CoV-2 Surveillance

Journal of Hazardous Materials Advances, Год журнала: 2025, Номер unknown, С. 100635 - 100635

Опубликована: Фев. 1, 2025

Язык: Английский

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