Virus Concentration Research Articles

STRATEGI PENYAMPAIAN PESAN DAKWAH PADA MEDIA SOSIAL

The Da'wah message is the message that the da'i wants to convey to the mad'u which is an important element in da'wah activities. Various media can be used to carry out da'wah, such as Tik Tok. One of the platforms that is widely used by people today. One of them is Husain Basyaiban with the Tik Tok account @kadamsidik00, which discusses Islamic values ​​and da'wah messages packaged in a way that is easy to understand. This research uses qualitative research. Researchers used content analysis on the @kadamsidik00 account. These data are processed and analyzed to identify strategies for delivering da'wah messages and supporting and inhibiting factors that influence the effectiveness of the da'wah message strategies delivered. Based on the results of this research, it was found that the @kadamsidik00 account used various strategies in conveying da'wah messages on Tik Tok. One of them is the use of creative content that attracts attention, as well as the ability to follow popular trends on Tik Tok to maximize audience reach. Apart from that, interaction with followers through comments and responses is also an important part of this account's strategy. Researchers also found several significant supporting factors in the strategy of conveying da'wah messages on Tik Tok social media by the account @kadamsidik00. These factors include the ability to create creative and attention-grabbing content, adaptation to popular trends, active interaction with followers, and the popularity of accounts that can expand the reach of preaching messages. However, there are also inhibiting factors that need to be considered. Limits on the duration of content on Tik Tok, competition with other viral content, and the risk of the da'wah message being distorted can become obstacles in conveying the da'wah message effectively. Apart from that, the importance of understanding the target audience more precisely and the risk of exposure to negative content also needs to be considered.

Wastewater Surveillance Provides Spatiotemporal SARS-CoV-2 Infection Dynamics

Wastewater surveillance (WWS) can leverage its wide coverage, population-based sampling, and high monitoring frequency to capture citywide pandemic trends independent of clinical surveillance. Here we conducted a nine months daily WWS for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 12 wastewater treatment plants (WWTPs), covering approximately 80% of the population, to monitor infection dynamics in Hong Kong, China. We found that the SARS-CoV-2 virus concentration in wastewater was correlated with the daily number of reported cases and reached two pandemic peaks three days earlier during the study period. In addition, two different methods were established to estimate the prevalence/incidence rates from wastewater measurements. The estimated results from wastewater were consistent with findings from two independent citywide clinical surveillance programmes (rapid antigen test (RAT) surveillance and serology surveillance), but higher than the cases number reported by the Centre for Health Protection (CHP) of Hong Kong, China. Moreover, the effective reproductive number (Rt) was estimated from wastewater measurements to reflect both citywide and regional transmission dynamics. Our findings demonstrate that large-scale intensive WWS from WWTPs provides cost-effective and timely public health information, especially when the clinical surveillance is inadequate and costly. This approach also provides insights into pandemic dynamics at higher spatiotemporal resolutions, facilitating the formulation of effective control policies and targeted resource allocation.

Beyond droplet deposition: Virus transport and deposition modeling in respiratory tract influenced by ambient environment and exhalation activities

Quantifying virus deposition in the respiratory tract during exposure to various infected environments is crucial for developing effective indoor environmental interventions against airborne infectious diseases. This study presents a novel approach that combines a physical model for virus-laden droplet evaporation, size-independent viral load concentrations, and computational fluid dynamics simulations inside the respiratory tracts. We quantify the impact of exhalation activities and actual vapor pressure on virus deposition fraction (DFv) and droplet deposition fraction (DFd) in the respiratory tract by tracking virus-laden droplets from exhalation to inhalation to deposition. Our findings reveal that virus deposition fraction significantly differs from the droplet deposition fraction in the respiratory tract, as the minimum mean absolute percentage error (MAPE) is 0.65. Moreover, the exhalation activities and indoor conditions play a vital role in virus deposition. Considering exhalation activity is necessary for assessing the potential risk of infection in the lung lobes. The deposition fraction and copies of the virus are nearly 2-fold and over 6000-fold higher during patient speaking compared to breathing, respectively. Actual vapor pressure is also vital for the interception of the upper respiratory tract. The DFv decreases from 66.86% to 46.96% as actual vapor pressure changes from low to high. Additionally, our study quantifies the difference in virus deposition fraction between size-dependent and size-independent viral load concentrations, showing the necessity of considering size-dependent viral load concentration. Our findings improve the predictability of infection risks and can refer to the development of effective non-pharmaceutical interventions in indoor environments in the post-pandemic.

A mixed-effects model to predict COVID-19 hospitalizations using wastewater surveillance

During the COVID-19 pandemic, many countries and regions investigated the potential use of wastewater-based disease surveillance as an early warning system. Initially, methods were created to detect the presence of SARS-CoV-2 RNA in wastewater. Investigators have since conducted extensive studies to examine the link between viral concentration in wastewater and COVID-19 cases in areas served by sewage treatment plants over time. However, only a few reports have attempted to create predictive models for hospitalizations at a county-level based on SARS-CoV-2 RNA concentrations in wastewater. This study implemented a linear mixed-effects model that evaluates the association between levels of virus in wastewater and county-level hospitalizations. The model was then utilized to predict short-term county-level hospitalization trends in 21 counties in California based on data from March 21, 2022, to May 21, 2023. The modeling framework proposed here permits repeated measurements, as well as fixed and random effects. The model that incorporated wastewater data as an input variable rather than cases or test positivity rate exhibited robust performance and effectively captured discernible trends in hospitalizations. Additionally, the model allows for the prediction of SARS CoV-2 hospitalizations two weeks ahead. Forecasts of COVID-19 hospitalizations could provide crucial information for hospitals to better allocate resources and prepare for potential surges in patient numbers.

Combining Bioorthogonal Chemistry with Fluorescent Silica Nanoparticles for the Ultrasensitive Detection of the HIV-1 p24 Antigen.

Early detection and viral concentration monitoring of human immunodeficiency virus in resource-poor settings are important to control disease spread and reduce mortality. Nucleic acid amplification tests are expensive for low-resource settings. Lateral flow antibody tests are not sensitive if testing is performed within 7-10 days, and these tests are not quantitative. We describe a signal enhancement technique based on fluorescent silica nanoparticles and bioorthogonal chemistries for the femtomolar detection of the HIV-1 p24 antigen. We developed a magnetic bead-based assay, wherein we used fluorescent-dye-encapsulated silica nanoparticles as reporters. The number of reporters was increased by using bioorthogonal chemistry to provide signal enhancement. The limit and range of detection of the sandwich immunoassay using alternating multiple layers for p24 in human serum were found to be 46 fg/mL (1.84 fM) and 46 fg/mL to 10 ng/mL, respectively. This simple assay was 217-fold higher in sensitivity compared to that of commercial enzyme-linked immunoassays (limit of detection of 10 pg/mL).

Tracing the origin of SARS-CoV-2 omicron-like spike sequences detected in an urban sewershed: a targeted, longitudinal surveillance study of a cryptic wastewater lineage

The origin of novel SARS-CoV-2 spike sequences found in wastewater, without corresponding detection in clinical specimens, remains unclear. We sought to determine the origin of one such cryptic wastewater lineage by tracking and characterising its persistence and genomic evolution over time. We first detected a cryptic lineage, WI-CL-001, in municipal wastewater in Wisconsin, USA, in January, 2022. To determine the source of WI-CL-001, we systematically sampled wastewater from targeted sub-sewershed lines and maintenance holes using compositing autosamplers. Viral concentrations in wastewater samples over time were measured by RT digital PCR. In addition to using metagenomic 12s rRNA sequencing to determine the virus's host species, we also sequenced SARS-CoV-2 spike receptor binding domains, and, where possible, whole viral genomes to identify and characterise the evolution of this lineage. We traced WI-CL-001 to its source at a single commercial building. There we detected the cryptic lineage at concentrations as high as 2·7× 109 genome copies per L. The majority of 12s rRNA sequences detected in wastewater leaving the identified source building were human. Additionally, we generated over 100 viral receptor binding domain and whole-genome sequences from wastewater samples containing the cryptic lineage collected over the 13consecutive months this virus was detectable (January, 2022, to January, 2023). These sequences contained a combination of fixed nucleotide substitutions characteristic of Pango lineage B.1.234, which circulated in humans in Wisconsin at low levels from October, 2020, to February, 2021. Despite this, mutations in the spike gene and elsewhere resembled those subsequently found in omicron variants. We propose that prolonged detection of WI-CL-001 in wastewater indicates persistent shedding of SARS-CoV-2 from a single human initially infected by an ancestral B.1.234 virus. The accumulation of convergent omicron-like mutations in WI-CL-001's ancestral B.1.234 genome probably reflects persistent infection and extensive within-host evolution. People who shed cryptic lineages could be an important source of highly divergent viruses that sporadically emerge and spread. The Rockefeller Foundation, Wisconsin Department of Health Services, Centers for Disease Control and Prevention, National Institute on Drug Abuse, and the Center for Research on Influenza Pathogenesis and Transmission.

Surveillance of SARS-CoV-2 in wastewater by quantitative PCR and digital PCR: a case study in Shijiazhuang city, Hebei province, China

ABSTRACT In this study, we reported the first long-term monitoring of SARS-CoV-2 in wastewater in Mainland China from November 2021 to October 2023. The city of Shijiazhuang was employed for this case study. We developed a triple reverse transcription droplet digital PCR (RT-ddPCR) method using triple primer-probes for simultaneous detection of the N1 gene, E gene, and Pepper mild mottle virus (PMMoV) to achieve accurate quantification of SARS-CoV-2 RNA in wastewater. Both the RT-ddPCR method and the commercial multiplex reverse transcription quantitative polymerase chain reaction (RT-qPCR) method were implemented for the detection of SARS-CoV-2 in wastewater in Shijiazhuang City over a 24-month period. Results showed that SARS-CoV-2 was detected for the first time in the wastewater of Shijiazhuang City on 10 November 2022. The peak of COVID-19 cases occurred in the middle of December 2022, when the concentration of SARS-CoV-2 in the wastewater was highest. The trend of virus concentration increases and decreases forming a “long-tailed” shape in the COVID-19 outbreak and recession cycle. The results indicated that both multiplex RT-ddPCR and RT-qPCR are effective in detecting SARS-CoV-2 in wastewater, but RT-ddPCR is capable of detecting low concentrations of SARS-CoV-2 in wastewater which is more efficient. The SARS-CoV-2 abundance in wastewater is correlated to clinical data, outlining the public health utility of this work. Highlights First long-term monitoring of SARS-CoV-2 in wastewater in Mainland China COVID-19 outbreak was tracked in Shijiazhuang City from outbreak to containment Wastewater was monitored simultaneously using RT-ddPCR and RT-qPCR methods Triple primer-probe RT-ddPCR detects N1 and E genes of SARS-CoV-2 and PMMoV

2D‐Ordered Layers of Tomato Bushy Stunt Virus via Specific Binding

Plant viruses are perfect candidates for the construction of nanobiotechnological devices. When employed in intricate 2D or 3D architectures, a stable, ordered virus layer, as the foundational plane, is a prerequisite. In former investigations, Coulomb‐force‐assisted self‐assembly is utilized. However, these layers demonstrate instability in further processing in a solution. In this study, an innovative strategy for immobilizing tomato bushy stunt viral (TBSV) nanoparticles through specific binding is reported on. Genetically engineered TBSV nanoparticles with Strep‐Tag II side chains are anchored using surface‐immobilized Strep‐Tactin. Strep‐Tactin, an engineered type of streptavidin with a strong specific interaction with the Strep‐Tag II protein, is immobilized on a silicon wafer through 3‐aminopropyltriethoxyilane and maleimide functionalization. Herein, the investigation involves optimizing the viral concentration and the pH values of the viral solution, facilitating the achievement of an optimal distribution of viral nanoparticles without vacancies during immobilization. The Strep‐Tactin/Strep‐Tag II system significantly improves the coverage of viral particles on the silicon substrate compared to the direct immobilization onto the untreated silicon substrate. The formed layers exhibit remarkable stability, even under sonication. To validate the findings, scanning force microscopy serves as a critical tool for imaging.

The Multi-Kingdom Microbiome of Wintering Migratory Birds in Poyang Lake, China.

Wild birds are a natural reservoir for zoonotic viruses. To clarify the role of migratory birds in viruses spread in Poyang Lake, we investigated the microbiome of 250 wild bird samples from 19 species in seven orders. The bacterial and viral content abundance and diversity were preliminarily evaluated by Kraken2 and Bracken. After de novo assembly by Megahit and Vamb, viral contigs were identified by CheckV. The reads remapped to viral contigs were quantified using Bowtie2. The bacterial microbiome composition of the samples covers 1526 genera belonging to 175 bacterial orders, while the composition of viruses covers 214 species belonging to 22 viral families. Several taxonomic biomarkers associated with avian carnivory, oral sampling, and raptor migration were identified. Additionally, 17 complete viral genomes belonging to Astroviridae, Caliciviridae, Dicistroviridae, Picornaviridae, and Tombusviridae were characterized, and their phylogenetic relationships were analyzed. This pioneering metagenomic study of migratory birds in Poyang Lake, China illuminates the diverse microbial landscape within these birds. It identifies potential pathogens, and uncovers taxonomic biomarkers relevant to varied bird habitats, feeding habits, ecological classifications, and sample types, underscoring the public health risks associated with wintering migratory birds.

Quantitative detection of cassava common mosaic virus for health certification of cassava (Manihot esculenta Crantz) germplasm using qPCR analysis

Cassava (Manihot esculenta Crantz) is a crop of global economic and food safety importance, used for human consumption and in various industrial applications. The genebank of the Genetic Resources Program of the Alliance of Bioversity International and CIAT currently holds the world's largest cassava collection, with 5965 in vitro accessions from 28 countries. Managing this extensive collection involves indexing quarantine pathogens as a phytosanitary certification requirement for safely distributing cassava germplasm. The study therefore aimed to optimize a quantitative diagnostic protocol to detect cassava common mosaic virus (CsCMV) using quantitative PCR (qPCR) as a better alternative to other molecular techniques. This was done through designing primers and a probe in the RdRP region of CsCMV, and optimizing the qPCR conditions of the diagnostic protocol using primer concentration assays, and reaction amplification conditions such as volume and reaction time. We also evaluated the qPCR protocol by comparing the results of 140 cassava accession evaluations using three diagnostic methodologies (DAS-ELISA, end-point PCR, and qPCR) for CsCMV. Our protocol established that qPCR technique analysis is ten-times more sensitive in detecting CsCMV compared to end-point PCR, showing a maximum detection level of 77.97 copies/μL of plasmid, with 76 min of reaction time. The comparison allowed us to verify the level of CsCMV detection through the techniques evaluated, concluding that qPCR was more sensitive and allowed the quantification of viral concentration. The optimized qPCR protocol will be used to accelerate diagnostic screening of cassava germplasm for the presence or absence of CsCMV to ensure safe movement and distribution of disease-free germplasm.

Modeling the spread of viral infection in a local atmosphere infected with SARS-COV-2 virus. Constant virion concentration

Представлена математическая модель инфицирования вирусом COVID-19 при абсорбции вирионов из локальной атмосферы. В стандартную эпидемиологическую модель включены новые слагаемые, учитывающие начальный иммунитет и поток микрочастиц патогена из окружающей среды в организм. Показано, что иммунитет уменьшает степень поражения клеток организма и увеличивает интервал времени между началом инфицирования и взрывным ростом концентрации микрочастиц патогена. Начальный иммунитет обеспечивает критическую начальную концентрацию вирионов в организме, превышение которой приводит к интенсивному росту концентрации микрочастиц вируса. При начальной концентрации вирионов меньше критического значения вирус в организме вырождается. Результаты расчетов по модифицированной модели сопоставляются с экспериментальными данными. На начальной стадии инфицирования найдено аналитическое решение, описывающее рост концентрации патогена в организме при постоянном потоке вирионов из атмосферы. Найдено критическое значение потока вирионов из атмосферы, превышение которого приводит к монотонному росту концентрации клеток патогена. Предложена математическая модель вакцинации, снижающей вероятность поражения клеток организма микрочастицами вируса. Проиллюстрированы различные сценарии развития вирусной инфекции в организме индивида, эвакуированного из атмосферы, зараженной вирусом.

AAV8 vector induced gliosis following neuronal transgene expression.

Expression of light sensitive ion channels by selected neurons has been achieved by viral mediated transduction with gene constructs, but for this to have therapeutic uses, for instance in treating epilepsy, any adverse effects of viral infection on the cerebral cortex needs to be evaluated. Here, we assessed the impact of adeno-associated virus 8 (AAV8) carrying DNA code for a soma targeting light activated chloride channel/FusionRed (FR) construct under the CKIIa promoter. Viral constructs were harvested from transfected HEK293 cells in vitro and purified. To test functionality of the opsin, cultured rodent neurons were transduced and the light response of transduced neurons was assayed using whole-cell patch-clamp recordings. In vivo expression was confirmed by immunofluorescence for FR. Unilateral intracranial injections of the viral construct were made into the mouse neocortex and non-invasive fluorescence imaging of FR expression made over 1-4 weeks post-injection using an IVIS Spectrum system. Sections were also prepared from injected mouse cortex for immunofluorescence staining of FR, alongside glial and neuronal marker proteins. In vitro, cortical neurons were successfully transduced, showing appropriate physiological responses to light stimulation. Following injections in vivo, transduction was progressively established around a focal injection site over a 4-week period with spread of transduction proportional to the concentration of virus introduced. Elevated GFAP immunoreactivity, a marker for reactive astrocytes, was detected near injection sites associated with, and proportional to, local FR expression. Similarly, we observed reactive microglia around FR expressing cells. However, we found that the numbers of NeuN+ neurons were conserved close to the injection site, indicating that there was little or no neuronal loss. In control mice, injected with saline only, astrocytosis and microgliosis was limited to the immediate vicinity of the injection site. Injections of opsin negative viral constructs resulted in comparable levels of astrocytic reaction as seen with opsin positive constructs. We conclude that introduction of an AAV8 vector transducing expression of a transgene under a neuron specific promotor evokes a mild inflammatory reaction in cortical tissue without causing extensive short-term neuronal loss. The expression of an opsin in addition to a fluorescent protein does not significantly increase neuroinflammation.

Hydroponic Nutrient Solution Temperature Impacts Tulane Virus Persistence over Time

Controlled environment agriculture (CEA), or indoor agriculture, encompasses non-traditional farming methods that occur inside climate-controlled structures (e.g., greenhouses, warehouses, high tunnels) allowing for year-round production of fresh produce such as leaf lettuce. However, recent outbreaks and recalls associated with hydroponically grown lettuce contaminated with human pathogens have raised concerns. Few studies exist on the food safety risks during hydroponic cultivation of leaf lettuce; thus, it is important to identify contributing risk factors and potential mitigation strategies to prevent foodborne transmission via hydroponically grown produce. In this study, the concentration of infectious Tulane virus (TV), a human norovirus surrogate, in hydroponic nutrient solution at 15 °C, 25 °C, 30 °C, and 37 °C was determined over a duration of 21 days to mimic the time from seedling to mature lettuce. The mean log PFU reduction for TV was 0.86, 1.80, 2.87, and ≥ 3.77 log10 at 15 °C, 25 °C, 30 °C, and 37 °C, respectively, at the end of the 21-day period. Similarly, average decimal reduction values (D-values) of TV at 15 °C, 25 °C, 30 °C, and 37 °C were 48.0, 11.3, 8.57, and 7.02 days, respectively. This study aids in the (i) identification of possible food safety risks associated with hydroponic systems specifically related to nutrient solution temperature and (ii) generation of data to perform risk assessments within CEA leaf lettuce operations to inform risk management strategies for the reduction of foodborne outbreaks, fresh produce recalls, and economic losses.

A retrospective longitudinal study of adenovirus group F, norovirus GI and GII, rotavirus, and enterovirus nucleic acids in wastewater solids at two wastewater treatment plants: solid-liquid partitioning and relation to clinical testing data.

Enteric infections are important causes of morbidity and mortality, yet clinical surveillance is limited. Wastewater-based epidemiology (WBE) has been used to study community circulation of individual enteric viruses and panels of respiratory diseases, but there is limited work studying the concurrent circulation of a suite of important enteric viruses. A retrospective WBE study was carried out at two wastewater treatment plants located in California, United States. Using digital droplet polymerase chain reaction (PCR), we measured concentrations of human adenovirus group F, enteroviruses, norovirus genogroups I and II, and rotavirus nucleic acids in wastewater solids two times per week for 26 months (n = 459 samples) between February 2021 and mid-April 2023. A novel probe-based PCR assay was developed and validated for adenovirus. We compared viral nucleic acid concentrations to positivity rates for viral infections from clinical specimens submitted to a local clinical laboratory to assess concordance between the data sets. We detected all viral targets in wastewater solids. At both wastewater treatment plants, human adenovirus group F and norovirus GII nucleic acids were detected at the highest concentrations (median concentrations greater than 105 copies/g), while rotavirus RNA was detected at the lowest concentrations (median on the order of 103 copies/g). Rotavirus, adenovirus group F, and norovirus nucleic acid concentrations were positively associated with clinical specimen positivity rates. Concentrations of tested viral nucleic acids exhibited complex associations with SARS-CoV-2 and other respiratory viral nucleic acids in wastewater, suggesting divergent transmission patterns.IMPORTANCEThis study provides evidence for the use of wastewater solids for the sensitive detection of enteric virus targets in wastewater-based epidemiology programs aimed to better understand the spread of enteric disease at a localized, community level without limitations associated with testing many individuals. Wastewater data can inform clinical, public health, and individual decision-making aimed to reduce the transmission of enteric disease.

Enhancing Loop-Mediated Isothermal Amplification through Nonpowered Nanoelectric Preconcentration.

The global threat posed by the COVID-19 pandemic has catalyzed the development of point-of-care (POC) molecular diagnostics. While loop-mediated isothermal amplification (LAMP) stands out as a promising technique among FDA-approved methods, it is occasionally susceptible to a high risk of false positives due to nonspecific amplification of a primer dimer. In this work, we report an enhancing LAMP technique in terms of assay sensitivity and reliability through streamlined integration with a nonpowered nanoelectric preconcentration (NPP). The NPP, serving as a sample preparation tool, enriched the virus concentration in samples prior to the subsequent LAMP assay. This enrichment enabled not only to achieve more sensitive assay but also to shorten the assay time for all tested clinical samples by ∼10 min compared to the conventional LAMP. The shortened assay time suppresses the occurrence of nonspecific amplification by not providing the necessary incubation time, effectively suppressing misidentification by false positives. Utilizing this technique, we also developed a prototype of the POC NPP-LAMP kit. This kit offers a streamlined diagnostic process for nontrained individuals, from the sample enrichment, transfer of the enriched sample to LAMP assays, which facilitates on-site/on-demand diagnosis of SARS-CoV-2. This development holds the potential to contribute toward preventing not only the current outbreak but also future occurrences of pandemic viruses.

Microsphere-Enabled Micropillar Array for Whispering Gallery Mode Virus Detection.

Rapid detection of pathogens and analytes at the point of care offers an opportunity for prompt patient management and public health control. This paper reports an open microfluidic platform coupled with active whispering gallery mode (WGM) microsphere resonators for the rapid detection of influenza viruses. The WGM microsphere resonators, precoated with influenza A polyclonal antibodies, are mechanically trapped in the open micropillar array, where the evaporation-driven flow continuously transports a small volume (∼μL) of sample to the resonators without auxiliaries. Selective chemical modification of the pillar array changes surface wettability and flow pattern, which enhances the detection sensitivity of the WGM resonator-based virus sensor. The optofluidic sensing platform is able to specifically detect influenza A viruses within 15 min using a few microliters of sample and displays a linear response to different virus concentrations.

Real-Time On-Site Monitoring of Viruses in Wastewater Using Nanotrap® Particles and RICCA Technologies.

Wastewater-based epidemiology (WBE) is an effective and efficient tool for the early detection of infectious disease outbreaks in a community. However, currently available methods are laborious, costly, and time-consuming due to the low concentration of viruses and the presence of matrix chemicals in wastewater that may interfere with molecular analyses. In the present study, we designed a highly sensitive "Quick Poop (wastewater with fecal waste) Sensor" (termed, QPsor) using a joint approach of Nanotrap microbiome particles and RICCA (RNA Isothermal Co-Assisted and Coupled Amplification). Using QPsor, the WBE study showed a strong correlation with standard PEG concentrations and the qPCR technique. Using a closed format for a paper-based lateral flow assay, we were able to demonstrate the potential of our assay as a real-time, point-of-care test by detecting the heat-inactivated SARS-CoV-2 virus in wastewater at concentrations of 100 copies/mL and within one hour. As a proof-of-concept demonstration, we analyzed the presence of viral RNA of the SARS-CoV-2 virus and PMMoV in raw wastewater samples from wastewater treatment plants on-site and within 60 min. The results show that the QPsor method can be an effective tool for disease outbreak detection by combining an AI-enabled case detection model with real-time on-site viral RNA extraction and amplification, especially in the absence of intensive clinical laboratory facilities. The lab-free, lab-quality test capabilities of QPsor for viral prevalence and transmission in the community can contribute to the efficient management of pandemic situations.

The emergence of MedTok: a qualitative analysis of popular medical TikTok videos.

Social media is increasingly being used by the public as a medium for health information. Unfortunately, misinformation has become widely available on these sites, often being provided using content that is designed to be more popular and engaging, and it is difficult for the public to differentiate between what is true and what is false. TikTok is one of these platforms and has been rapidly growing over the last few years. As an increasing number of people look to TikTok for their health information, it is important that quality information is accessible and popular on the platform. We conducted a review of TikTok videos using the top 10 videos to show when searching for 13 common conditions. Characteristics of both the creator and video were recorded and analyzed. Videos on conditions commonly diagnosed younger were commonly produced by younger creators with the condition, often based on their own experiences. Conversely, videos on conditions commonly diagnosed older were commonly produced by healthcare professionals providing educational information. Though for conditions affecting older individuals healthcare professionals may be able to create didactic, educational videos, for those affecting younger individuals, it may be beneficial to partner with younger creators, or "influencers," to produce more viral content. Further studies may expand on these ideas to encompass more facets of healthcare. As this study did not analyze the quality of the information in the videos, future research should also focus on determining the quality of popular content on TikTok and other social media platforms.

Design immune robust integral signum of the error controller for cancer tumor growth treatment based on improved crow search algorithm

Cancer is one of the most common diseases around the world, which is difficult to treat due to the versatility and adaptability of cancer cells for facing normal cell death and the invisibility of the immune system. Many types of treatments have been proposed in the literature to deal with this disease, one of these promising methods is the Oncolytic Virotherapy (OV) technique. Controllers have an essential role in this process as they help in carefully managing injection periods, determining appropriate doses, and facing uncertainty in biological parameters. In this paper, an adaptive controller is designed Immune Robust Integral Signum of the Error (IRISE) that give and schedule optimal medication doses to control tumor growth. In addition, an Improved Crow Search Algorithm (ICSA) was used to obtain the optimal parameters for this controller. The controller was validated using a mathematical model of the Interaction Between Tumor Cells and Oncolytic Virus (ITCV) on several cases in different conditions of uncertainty and disturbances. Using a continuous controller to maintain the viral concentration helps to reduce the very high doses of medication needed at the start of therapy, as the viral load can be reduced by half, which in turn reduces concerns about toxicity and costs. The comparative results showed the IRISE based ICSA outperforms the CSA by 0.0 % and 0.02 % at subjects S1 and S3 respectively. In addition, the performance of IRISE controller accommodated most the ITCV model uncertainty in subject S3. In contrast, failure in subject S1 to accommodate stromal cells presence and parameters uncertainty.

Air Change Rate and SARS-CoV-2 Exposure in Hospitals and Residences: A Meta-Analysis.

As SARS-CoV-2 swept across the globe, increased ventilation and implementation of air cleaning were emphasized by the US CDC and WHO as important strategies to reduce the risk of inhalation exposure to the virus. To assess whether higher ventilation and air cleaning rates lead to lower exposure risk to SARS-CoV-2, 1274 manuscripts published between April 2020 and September 2022 were screened using key words "airborne SARS-CoV-2 or "SARS-CoV-2 aerosol". Ninety-three studies involved air sampling at locations with known sources (hospitals and residences) were selected and associated data were compiled. Two metrics were used to assess exposure risk: SARS-CoV-2 concentration and SARS-CoV-2 detection rate in air samples. Locations were categorized by type (hospital or residence) and proximity to the sampling location housing the isolated/quarantined patient (primary or secondary). The results showed that hospital wards had lower airborne virus concentrations than residential isolation rooms. A negative correlation was found between airborne virus concentrations in primary-occupancy areas and air changes per hour (ACH). In hospital settings, sample positivity rates were significantly reduced in secondary-occupancy areas compared to primary-occupancy areas, but they were similar across sampling locations in residential settings. ACH and sample positivity rates were negatively correlated, though the effect was diminished when ACH values exceeded 8. While limitations associated with diverse sampling protocols exist, data considered by this meta-analysis support the notion that higher ACH may reduce exposure risks to the virus in ambient air.