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Copyright of Canadian Journal of Dental Hygiene is the property of Canadian Dental Hygienists Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background Since the outbreak of COVID-19, how to reduce the risk of spreading viruses and other microorganisms while performing aerosol generating procedures (AGPs) has become a challenging question within the dental and dental hygiene communities. The purpose of this position paper is to summarize the existing evidence about the effectiveness of various mitigation methods used to reduce the risk of infection transmission during AGPs in dentistry. Methods The authors searched six databases, MEDLINE, EMBASE, Scopus, Web of Science, Cochrane Library, and Google Scholar, for relevant scientific evidence published in the last ten years (January 2012 to December 2022) to answer six research questions about the the aspects of risk of transmission, methods, devices, and personal protective equipment (PPE) used to reduce contact with microbial pathogens and limit the spread of aerosols. Results A total of 78 studies fulfilled the eligibility criteria. There was limited literature to indicate the risk of infection transmission of SARS-CoV-2 between dental hygienists and their patients. A number of mouthrinses are effective in reducing bacterial contaminations in aerosols; however, their effectiveness against SARS-CoV-2 was limited. The combined use of eyewear, masks, and face shields are effective for the prevention of contamination of the facial and nasal region, while performing AGPs. High volume evacuation with or without an intraoral suction, low volume evacuation, saliva ejector, and rubber dam (when appropriate) have shown effectiveness in reducing aerosol transmission beyond the generation site. Finally, the appropriate combination of ventilation and filtration in dental operatories are effective in limiting the spread of aerosols. Conclusion Aerosols produced during clinical procedures can potentially pose a risk of infection transmission between dental hygienists and their patients. The implementation of practices supported by available evidence are best practices to ensure patient and provider safety in oral health settings. More studies in dental clinical environment would shape future practices and protocols, ultimately to ensure safe clinical care delivery. [ABSTRACT FROM AUTHOR]

Reducing examination table paper (ETP) use may help curb carbon emissions from health care. Six participants applied Glo Germ (DMA International) to their hands before a common physical examination (abdominal, cardiorespiratory, hip and knee) both with and without ETP. After each exam, UV light was shined on the exam table and photographs were taken. The number of hand touches on ETP-covered areas and uncovered areas were tallied and compared using t tests. Despite covering more surface area, participants touched areas without ETP significantly more than ETP-covered areas (P <.05). Despite its continued use, patients do not have much hand contact with ETP during common clinical examinations. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Soil Sciences & Agricultural Engineering is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Microfluidic paper‐based analytical devices (μPADs) are commonly used in point‐of‐care testing (POCT) due to their advantages of low cost and easy operation. However, the fabrication and potential environmental pollution of μPADs are the universal and pendent concerns. In this respect, a simple and novel method is developed for preparing photo‐adjustable μPADs using the photocatalytic properties of TiO2. A superhydrophobic TiO2‐paper substrate with unique photoactivity is fabricated. The flow channels on the superhydrophobic TiO2‐paper substrate can be quickly generated and on‐demand edited by a simple UV irradiation process, to fabricate various 2D and 3D μPADs for specific applications. After usage, the residual organics and biological specimens on μPADs can be easily bleached via TiO2‐assited degradation under UV or sunlight, avoiding the risk of potential environment pollution and disease transmission. The successful application of such novel substrate in the fabrication of smart and safe μPADs for sweat analysis and motion monitoring is shown. [ABSTRACT FROM AUTHOR]

This article reports on the first record of wilt and gummosis disease in subabul trees caused by Fusarium equiseti in India. Subabul trees are economically important for the paper and pulp industry in India. The affected trees exhibited symptoms of yellowing, wilting, and gummosis. Isolates of Fusarium equiseti were obtained from the diseased tissue and were found to be identical in their genetic sequences. Pathogenicity tests confirmed that the Fusarium isolates caused similar symptoms in healthy subabul plants. The rapid spread of this disease poses a threat to subabul plantations, and the development of management strategies is necessary. [Extracted from the article]

Context: Within only 30 days after the first announcement of infection with "SARS-CoV-2" in Wuhan, it spread to more than 20 countries and become a pandemic by WHO as a "high alarming level of infection" with 136,343 involved cases all over the world. Methods: To uncover more about the probable gastrointestinal transmission and its clinical manifestations, we reviewed all research publications with keywords including: "COVID-19", "SARS-CoV-2", "Coronavirus", "outbreak", "ARAS-CoV" in Medline, Scopus, Google Scholar as well as all news in social media about "novel COVID-19 pandemic". Out of 40 recent publications, 10 articles were studied by 2 authors. Results: Although the SARS-CoV-2 tends to infect respiratory epithelial cells through the respiratory tracts, recent investigations detected the virus in the stool specimen, raising the question of the fecal-oral transmission route. Different studies showed that almost all gastrointestinal signs and symptoms were seen in elderly patients (more than 65 years old). including anorexia (40%), nonspecific abdominal pains (8%), diarrhea (10%) and nausea and Vomiting in about 8% of patients. Anorexia and generalized abdominal pain suffer many treated cases even 10-20 days after negative blood tests (like CRP, lymphopenia) and negative PCRof respiratory samples. The main reason for this prolonged anorexia and abdominal pain may be due to the long persistence of COVID-19 in the gastrointestinal tracts after primary treatment. Conclusions: Comparing to SARS, patients with COVID-19 showed less diarrhea, nausea, vomiting and/or abdominal discomfort before respiratory symptoms. Feces as a potential contagious source of Viral RNA can last even after viral clearance in the respiratory tract. We strongly recommend all cured patients of COVID-19 to disinfect and clean their toilets until 17-20 days after negative blood tests and solving their respiratory disorders. Gastrointestinal manifestations have seen in all men while no women referred with GI signs. [ABSTRACT FROM AUTHOR]

We study a three-species cyclic game system where organisms face a contagious disease whose virulence may change by a pathogen mutation. As a responsive defence strategy, organisms' mobility is restricted to reduce disease dissemination in the system. The impact of the collective self-preservation strategy on the disease infection risk is investigated by performing stochastic simulations of the spatial version of the rock–paper–scissors game. Our outcomes show that the mobility control strategy induces plasticity in the spatial patterns with groups of organisms of the same species inhabiting spatial domains whose characteristic length scales depend on the level of dispersal restrictions. The spatial organisation plasticity allows the ecosystems to adapt to minimise the individuals' disease contamination risk if an eventual pathogen alters the disease virulence. We discover that if a pathogen mutation makes the disease more transmissible or less lethal, the organisms benefit more if the mobility is not strongly restricted, thus forming large spatial domains. Conversely, the benefits of protecting against a pathogen causing a less contagious or deadlier disease are maximised if the average size of groups of individuals of the same species is significantly limited, reducing the dimensions of groups of organisms significantly. Our findings may help biologists understand the effects of dispersal control as a conservation strategy in ecosystems affected by epidemic outbreaks. • Stochastic simulations of the rock–paper–scissors model with organisms facing a disease spreading are performed. • The effects of individuals' mobility restrictions on the spatial organisation scale are quantified. • The impact of changes in the disease virulence on population dynamics is studied. • The benefits of the spatial organisation plasticity induced by the adaptation of the mobility restrictions in response to changes in the disease virulence are calculated. [ABSTRACT FROM AUTHOR]

Development of rapid screening in the ambulatory environment is the most pressing needs for the control of spread of infectious disease. Despite there are many methods to detect the immunoassay results, quantitative measurement in rapid disease screening is still a great challenge for point-of-care applications. In this work, based on the internal structural protein, i.e., nucleoprotein (NP), and outer surface glycoproteins, i.e., H1 and H3, of the influenza viruses, specific and sensitive immunoassay on paper-based platform was evaluated and confirmed. Detection and subtyping of influenza A H1N1 and H3N2 viruses found in people were demonstrated by colorimetric paper-based sandwich immunoassay. Concentration-dependent response to influenza viruses was shown and the detection limits could achieve 2.7 × 10 3 pfu/assay for H1 detection and 2.7 × 10 4 pfu/assay for H3 detection, which are within the clinical relevant level. Moreover, detection of influenza virus from infected cell lysate and clinical samples was demonstrated to further confirm the reliability of the paper-based immunoassay. The use of paper for the development of diagnostic devices has the advantages of lightweight, ease-of-use, and low cost and paper-based immunoassay is appropriate to apply for rapid screening in point-of-care applications. [ABSTRACT FROM AUTHOR]

Demonstration of successful elimination of lymphatic filariasis (LF) in endemic countries requires sensitive diagnostics for accurate definitions of endpoints and future surveillance. There has been interest in complementing available diagnostics with antibody serology testing in children, since negative serology would correspond with cessation of LF transmission. The Filariasis CELISA detects antifilarial IgG4 and has favourable results with serum samples but field application requires an easier sampling method. Ninety-four paired plasma and filter paper samples were assayed with promising results. The filter paper method resultedin a sensitivity of 92% and a specificity of 77% when compared to the paired plasma. One hundred and one filter paper samples were assessed for storage effects. Following 10-month storage at -20°C there was a significant reduction in reactivity (P < .001). Overall the results indicated that filter paper sampling would be a favourable sensitive and specific alternative for blood collection in surveys. [ABSTRACT FROM AUTHOR]

Background Paper currency is used for every type of commerce and plays an important role in the life of human beings. However, the combination of its widespread use and constant exchange make paper currency a likely agent for disease transmission. Thus, the aim of this study was to evaluate the microbial load and safety of Ethiopian paper currencies collected from some food vendors in Jimma town. Methods Standard microbiological methods were used for the enumeration of various microbial groups, isolation and characterization of pathogenic bacteria and their growth potential in selected weaning foods. A total of 100 samples of Ethiopian paper currencies, consisting of five denominations, from street food venders, hotels and cafeterias in Jimma town were collected aseptically. Sterile cotton swabs moistened with buffered peptone water solution were used for swabbing and the swabs were separately soaked into 10 ml sterile buffered peptone water solution. Results Mean microbial counts of Aerobic mesophilic bacteria, Staphylococci, Enterobacteriaceae, coliforms and Aerobic bacterial spores were (log CFU/cm2) 6.32, 4.43, 3.14, 2.98 and 3.78, respectively. However, mean counts of Yeasts and Moulds were below detectable levels. There was statistically significant variation (p < 0.05) among the mean counts of microbes isolated from samples of paper currencies. The predominantly isolated microbial groups were Staphylococcus spp. (34.06%) followed by Bacillus spp. (31.88%), Enterobacteraceae (13.39%), Micrococcus spp. (9.55%) and Streptococcus spp. (9.03%). Overall, 25% and 10% of the samples were positive for S. aureus and Salmonella spp, respectively. In challenge study, Salmonella spp. and S. aureus reached the infective dose within 12 to 18 hours of inoculation. Conclusion Thus, paper currencies could be considered as one of the possible vehicles for transmission of disease causing microorganisms. Poor handling practices and personal hygiene of the food vendors could contribute to the observed microbial counts. Thus, it calls for awareness development on the potential risks associated with poor handling of paper currencies at all level of the food establishments. [ABSTRACT FROM AUTHOR]

Epidemiology, the study of disease transmission is the review and analysis of the patterns, causes, and impacts of health and disease conditions in characterized population. In this paper we have presented a deep study about Epidemiology and it models since it is the foundation of human health. From this study it is clearly observed that in the literature there is no sufficient papers or works available related to epidemiology and very few papers have been published comparing to other research areas and out of that no paper presents an accurate model for calculating the disease transmission specifically about basic reproduction rate, and final size of the epidemic. Hence it is good to promote more number of researches in the future related to Epidemiology. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Wassit for Science & Medicine is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Paper products are widely used in daily life, while the lack of antibacterial activity has made them become some disease transmission media. Herein, we introduced NIR-responsive molybdenum disulfide nanosheets (MoS 2) to endow nanocellulose paper antibacterial activity by electrostatic self-assembly with quaternized chitosan (QCS). Firstly, the MoS 2 nanosheets were exfoliated and stabilized with QCS under ultrasonication. The strong coordination between QCS and MoS 2 as well as the electrostatic attraction between QCS and cellulose nanofiber (CNF) helped to fabricate the MoS 2 @QCS/CNF composite paper. The MoS 2 @QCS/CNF composite paper exhibited excellent photothermal and photodynamic activity, achieving over 99.9% antibacterial efficacy against both E. coli and S. aureus , respectively. The hyperthermia induced by MoS 2 accelerated the glutathione (GSH) consumption and the reactive oxygen species (ROS)-independent oxidative stress destroyed the bacteria membranes integrity, synergistically leading to the malondialdehyde (MDA) oxidation and protein leakage to inhibit the bacteria growth. Importantly, the self-assembled fibrous network incorporating with the photo-stable antibacterial MoS 2 enabled the flexible composite paper with excellent mechanical strength and recyclability for long-term antimicrobial, possessing over 99.9% inhibition even after five cycles. No cell cytotoxicity was observed for the MoS 2 @QCS/CNF composite paper, suggesting the potential of composite paper for bacterial infection control. [Display omitted] • The MoS 2 nanosheets were exfoliated and stabilized with quaternized chitosan (QCS). • QCS acted as glue to fabricate the electrostatic self-assembled MoS 2 @QCS/CNF paper. • The NIR-responsive paper had a strong killing effect on pathogenic bacteria. • The composite paper showed excellent mechanical stability and cytocompatibility. • The composite paper had > 99% sterilization efficacy after five antibacterial cycles. [ABSTRACT FROM AUTHOR]

The mathematical modeling of infectious diseases has become of paramount importance in recent years. Since 2019, with the worldwide spread of the Covid-19 pandemic, many already existing mathematical models have been improved. This paper focuses on the digital analysis of a model of transmission of the Covid-19 disease by means of Chebyshev wavelets. The analysis of the results obtained makes it possible to make a very good forecast of positive Covid-19 cases according to the parameters studied. [ABSTRACT FROM AUTHOR]

Aims This article explores the care British nurses provided to victims of typhus during the Second World War. Background Typhus is associated with poverty and overcrowding. During wars in the pre-antibiotic era, civilians were particularly susceptible to epidemics, which military governments feared would spread to their troops. Design This discussion paper draws on archival data from three typhus epidemics in the Second World War to examine the expert work of British nurses in caring for victims during these potential public health disasters. Data Sources The published sources for the paper include material from nursing and medical journals published between 1940-1947. Archival sources come from the National Archives in Kew, the Wellcome Library and the Army Medical Services Museum, between 1943-1945. Of particular interest is the correspondence with Dame Katharine Jones from nurses on active service overseas. Implications for Nursing Whilst epidemics of typhus are now rare, nurses in the present day may be required to care for the public in environments of extreme poverty and overcrowding, where life-threatening infectious diseases are prevalent. This article has demonstrated that it is possible for expert and compassionate nursing to alleviate suffering and prevent death, even when medical technologies are unavailable. Conclusion Expert and compassionate care, adequate nutrition and hydration and attention to hygiene needs are crucial when there are limited pharmacological treatments and medical technologies available to treat infectious diseases. The appreciation of this could have implications for nurses working in current global conflicts. [ABSTRACT FROM AUTHOR]

Aim To present a discussion on theoretical frameworks in infection prevention and control. Background Infection prevention and control programmes have been in place for several years in response to the incidence of healthcare-associated infections and their associated morbidity and mortality. Theoretical frameworks play an important role in formalizing the understanding of infection prevention activities. Design Discussion paper. Data sources A literature search using electronic databases was conducted for published articles in English addressing theoretical frameworks in infection prevention and control between 1980-2012. Results Nineteen papers that included a reference to frameworks were identified in the review. A narrative analysis of these papers was completed. Two models were identified and neither included the role of surveillance. Discussion To reduce the risk of acquiring a healthcare-associated infection, a multifaceted approach to infection prevention is required. One key component in this approach is surveillance. The review identified two infection prevention and control frameworks, yet these are rarely applied in infection prevention and control programmes. Only one framework considered the multifaceted approach required for infection prevention. It did not, however, incorporate the role of surveillance. We present a framework that incorporates the role of surveillance into a biopsychosocial approach to infection prevention and control. Conclusion Infection prevention and control programmes and associated research are led primarily by nurses. There is a need for an explicit infection prevention and control framework incorporating the important role that surveillance has in infection prevention activities. This study presents one framework for further critique and discussion. [ABSTRACT FROM AUTHOR]

Under the dual pressure of energy consumption and environmental pollution, mankind hopes to develop clean and renewable alternative energy, and the rapid development of fuel cells meets people's demand for energy-efficient power systems. The emergence of portable micro energy systems represented by microfluidic fuel cells, such as paper-based microfluidic fuel cells, has greatly enriched the means of medical detection to better cope with the threat of disease transmission. In this work, the numerical simulation method is innovatively introduced to study the paper-based microfluidic fuel cells. Both transient and steady-state modes are employed to demonstrate the whole operation process of the paper-based microfluidic fuel cell. In addition, the different structural parameters, including electrode spacing, the distance between electrode and inlet, channel thickness, and electrode length, are also investigated their influence mechanisms on cell performance. Results show that the increase of most structural parameters decreases cell output power in different degrees. Even on the premise that increasing channel thickness has a positive impact on the output power, the fuel utilization still shows a downward trend. These conclusions provide theoretical support and reference for future optimization work and accelerate the development of microfluidic fuel cells. • Numerical simulation is employed to study paper-based microfluidic fuel cell. • The effects of structure parameters on cell performance are discussed. • Through fuel concentration distribution to reveal cell performance mechanism. • Fuel utilization is used to evaluate energy efficiency. [ABSTRACT FROM AUTHOR]

But this reliance on an inherent transmission assumption can lead to challenges in interpretation, particularly in rapidly changing epidemics that take several generations of infection to settle to equilibrium. Understanding the extent of disease transmission - and how it changes over time - is a deceptively difficult problem, and these papers highlight some key considerations in how we should estimate and interpret COVID transmission dynamics. Even if we were to be omniscient, and see every contact and every transmission event, we would still have to make conceptual decisions about whether we are looking back at transmission that has already occurred, or predicting ongoing transmission from current infectious individuals, which is subject to right truncation. [Extracted from the article]

The observed dynamics of infectious diseases are driven by processes across multiple scales. Here we focus on two: within-host, that is, how an infection progresses inside a single individual (for instance viral and immune dynamics), and between-host, that is, how the infection is transmitted between multiple individuals of a host population. The dynamics of each of these may be influenced by the other, particularly across evolutionary time. Thus understanding each of these scales, and the links between them, is necessary for a holistic understanding of the spread of infectious diseases. One approach to combining these scales is through mathematical modeling. We conducted a systematic review of the published literature on multi-scale mathematical models of disease transmission (as defined by combining within-host and between-host scales) to determine the extent to which mathematical models are being used to understand across-scale transmission, and the extent to which these models are being confronted with data. Following the PRISMA guidelines for systematic reviews, we identified 24 of 197 qualifying papers across 30 years that include both linked models at the within and between host scales and that used data to parameterize/calibrate models. We find that the approach that incorporates both modeling with data is under-utilized, if increasing. This highlights the need for better communication and collaboration between modelers and empiricists to build well-calibrated models that both improve understanding and may be used for prediction. [ABSTRACT FROM AUTHOR]

The article presents information on Rhinosinusitis. Rhinosinusitis is a significant health problem which seems to mirror the increasing frequency of allergic rhinitis and which results in a large financial burden on society. The last decade has seen the development of a number of guidelines, consensus documents and position papers on the epidemiology, diagnosis and treatment of rhinosinusitis and nasal polyposis. The diagnosis of rhinosinusitis is made by a wide variety of practitioners, including allergologists, otolaryngologists, pulmonologists, primary care physicians and many others.

Background: Access to correct information can influence the formation of the right attitude towards mitigating the spread of the COVID-19. Many individuals in Nigeria have taken up non-scientifically approved practices in a bid to protect themselves from the virus. The aim of this study was to assess the source of information, and knowledge of the cause and mode of transmission of the COIVD-19 among local traders in Ibadan, Oyo State, Nigeria. Methods: A cross-sectional study of local traders from two densely populated markets in Ibadan was conducted using an interviewer-administered semi-structured questionnaire. Data were analyzed using SPSS software v. 25 and Microsoft Excel 2016 and were presented in frequency tables and charts. The Chi-square test was used to test the associations. The level of significance was set at P<0.05. Results: A total of 321 traders (27.4% were males and 72.6% were females) were recruited with a Mean±SD age of 39.4±11.8 years. Radio (93.5%) and television (75.7%) were the most commonly used sources of information, 65.8% believed that COVID-19 was a result of divine punishment for sins and the majority (95.3%) reported that COVID-19 was spread through personal contact with infected persons. There was a statistically significant association between knowledge of cause and age (P=0.004), as well as between knowledge of cause and marital status (P=0.001). Additionally, a statistically significant association was observed between knowledge of transmission and level of education (P=0.012). Conclusion: Even though they have access to adequate information, people may not take proper actions to protect themselves and others from contracting the COVID-19. Reinforced health promotion strategies that pay attention to the local contexts and perspectives of community members should be taken across the board. Background: Access to correct information can influence the formation of the right attitude towards mitigating the spread of the COVID-19. Many individuals in Nigeria have taken up non-scientifically approved practices in a bid to protect themselves from the virus. The aim of this study was to assess the source of information, and knowledge of the cause and mode of transmission of the COIVD-19 among local traders in Ibadan, Oyo State, Nigeria. Methods: A cross-sectional study of local traders from two densely populated markets in Ibadan was conducted using an interviewer-administered semi-structured questionnaire. Data were analyzed using SPSS software v. 25 and Microsoft Excel 2016 and were presented in frequency tables and charts. The Chi-square test was used to test the associations. The level of significance was set at P<0.05. Results: A total of 321 traders (27.4% were males and 72.6% were females) were recruited with a Mean±SD age of 39.4±11.8 years. Radio (93.5%) and television (75.7%) were the most commonly used sources of information, 65.8% believed that COVID-19 was a result of divine punishment for sins and the majority (95.3%) reported that COVID-19 was spread through personal contact with infected persons. There was a statistically significant association between knowledge of cause and age (P=0.004), as well as between knowledge of cause and marital status (P=0.001). Additionally, a statistically significant association was observed between knowledge of transmission and level of education (P=0.012). Conclusion: Even though they have access to adequate information, people may not take proper actions to protect themselves and others from contracting the COVID-19. Reinforced health promotion strategies that pay attention to the local contexts and perspectives of community members should be taken across the board. [ABSTRACT FROM AUTHOR]

This paper examines Russia's propaganda discourse on Twitter during the 2022 invasion of Ukraine. The study employs network analysis, natural language processing (NLP) techniques, and qualitative analysis to identify key communities and narratives associated with the prevalent and damaging narrative of "fascism/Nazism" in discussions related to the invasion. The paper implements a methodological pipeline to identify the main topics, and influential actors, as well as to examine the most impactful messages in spreading this disinformation narrative. Overall, this research contributes to the understanding of propaganda dissemination on social media platforms and provides insights into the narratives and communities involved in spreading disinformation during the invasion. [ABSTRACT FROM AUTHOR]

A member of Biden's COVID-19 panel surveys the task ahead PHOTO (COLOR): New York University physician and epidemiologist Céline Gounder serves on President-elect Joe Biden's new coronavirus task force. In addition to her medical work, Gounder co-hosts a podcast about the pandemic with Ron Klain, Biden's newly named chief of staff. B Q: President-elect Biden has talked about mask mandates. [Extracted from the article]

STUDY DESIGN.: Retrospective review of articles published in the journal Spine. OBJECTIVES.: To evaluate potential correlations between research sponsorship and study outcome. SUMMARY OF BACKGROUND DATA.: Industry sponsorship has traditionally been associated with more positive results than non-funded or peer-reviewed funded projects in other areas of medicine. The association of such sponsorship and study outcome has not been addressed previously in spine research. METHODS.: Articles from the journal Spine from January 2002 to July 2003 were reviewed. These were examined for the subject evaluated, type of study design, funding source, and conclusion reached. RESULTS.: Of 1143 articles, 527 met inclusion criteria of having abstract, materials/methods, and conclusion sections. Industry support was reported for 84 (15.9%), foundation support for 67 (12.7%), government support for 54 (10.2%), institution support for 17 (3.2%), and no funding was reported for 304 (57.9%). The odds ratio of industry funded reporting positive results was 3.3 times that of studies with any other funding sources (P < 0.001). CONCLUSIONS.: Industry funded studies demonstrated a statistically greater likelihood to report positive results than studies with other funding sources. Potential explanations for this are biased study design, biased experimental technique, biased result interpretation, or publication bias. Although the expense of research and limited funding sources have forced an increased reliance on industry support for funding basic science and clinical spine research, this does introduce the potential for bias and must be recognized by the reader. [ABSTRACT FROM AUTHOR]

Identifying influential spreaders in complex networks is a crucial issue that can help control the propagation process in complex networks. An aviation network is a typical complex network, and accurately identifying the key city nodes in the aviation network can help us better prevent network attacks and control the spread of diseases. In this paper, a method for identifying key nodes in undirected weighted networks, called weighted Laplacian energy centrality, was proposed and applied to an aviation network constructed from real flight data. Based on the analysis of the topological structure of the network, the paper recognized critical cities in this network, then simulation experiments were conducted on key city nodes from the perspectives of network dynamics and robustness. The results indicated that, compared with other methods, weighted Laplacian energy centrality can identify the city nodes with the most spreading influence in the network. From the perspective of network robustness, the identified key nodes also have the characteristics of accurately and quickly destroying network robustness. [ABSTRACT FROM AUTHOR]

Objective: To end the AIDS epidemic by 2030, despite the increasing poverty and inequalities, policies should be designed to deal with population heterogeneity and environmental changes. Bottom-up designs, such as the Agent-Based Model (ABM), can model these features, dealing with such complexity. HIV/AIDS has a complex dynamic of structural factors, risk behaviors, biomedical characteristics and interventions. All embedded in unequal, stigmatized and heterogeneous social structure. To understand how ABMs can model this complexity, we performed a scoping review of HIV applications, highlighting their potentialities. Methods: We searched on PubMed, Web of Science, and Scopus repositories following the PRISMA extension for scoping reviews. Our inclusion criteria were HIV/AIDS studies with an ABM application. We identified the main articles using a local co-citation analysis and categorized the overall literature aims, (sub)populations, regions, and if the papers declared the use of ODD protocol and limitations. Results: We found 154 articles. We identified eleven main papers, and discussed them using the overall category results. Most studies model Transmission Dynamics (37/154), about Men who have sex with Men (MSM) (41/154), or individuals living in the US or South Africa (84/154). Recent studies applied ABM to model PrEP interventions (17/154) and Racial Disparities (12/154). Only six papers declared the use of ODD Protocol (6/154), and 34/154 didn't mention the study limitations. Conclusions: While ABM is among the most sophisticated techniques available to model HIV/AIDS complexity. Their applications are still restricted to some realities. However, researchers are challenged to think about social structure due model characteristics, the inclusion of these features is still restricted to case-specific. Data and computational power availability can enhance this feature providing insightful results. [ABSTRACT FROM AUTHOR]

Offers a news brief related to medicine from March 5, 1904. Report on a proposition that banking institutions disinfect all paper currency; Discussion of sanitation; Fight against tuberculosis and other infectious diseases.

Complex dynamic network data, such as social networks, protein interaction networks, and infectious disease transmission networks, are prevalent in the real world, consisting of numerous nodes and edges. Effective mining and utilization of such data for accurate prediction have become a key task. Dynamic graph neural network link prediction is an important branch of deep learning research, which aims to analyze the intrinsic laws of network evolution over time and predict potential future linkages, providing valuable information and basis for decision-making in various fields. This paper first reviews the development of dynamic graph neural networks, then introduces the modeling methods and training processes of dynamic graphs. Based on this, the paper categorizes dynamic graph neural network link prediction models into two main types according to the granularity of time: discrete dynamic graph models and continuous dynamic graph models, and provides an overview of the modeling methods used by current mainstream models in each category. In addition, it also introduces commonly used data sets, evaluation indicators and some application scenarios in dynamic graph link prediction research. Finally, the future development trends in this field are discussed prospectively. [ABSTRACT FROM AUTHOR]

Harvesting usable and meaningful disaster-related, spatio-temporal data at a highly granular level poses major challenges in its cleaning and aggregation. This paper presents a strategy related to those challenges with respect to individual behavior near COVID-19 laden healthcare facilities. This is done to enable the visualizing of egress behavior data as interactive, three-dimensional (3D) scenes to investigate human behavior patterns regarding touch-based, disease transmission. Therefore, the aim is to demonstrate how this concept of 3D epidemiology may provide new mechanisms to understand the relative risk and exposure prevalence for data analysis. This paper demonstrates 3D enablement of disaster-related field data through use of first-hand observations of 1,936 individuals egressing New York City healthcare facilities during the onset of COVID-19 in the Spring of 2020. The observations capture egress behavior in terms of where people go (e.g. coffee shop, Subway) and how they physically interact with the surroundings (i.e. what they touch and how long they remain). This paper introduces a mechanism for automated extraction and 3D visualization of such data in Potree, an open-source Web Graphics Library (WebGL) point cloud viewer. Distinctive vertex shaders are used to distinguish specific destination selection and behavioral patterns (e.g. personal protective equipment usage). Two-dimensional heatmaps are paired with 3D scenes to demonstrate the potential of using 3D visualization of spatio-temporal patterns for visualizing disease transmission potential. [ABSTRACT FROM AUTHOR]

This paper estimates the state transition of COVID-19 positive cases by analyzing the data about confirmed positive cases in Tokyo, Japan. The prediction of the number of newly infected persons is one of the active research topics for the COVID-19 pandemic. Although such a prediction is important for recognizing the future risk of spreading infectious diseases, understanding the state transition after they are confirmed to be positive is also important for estimating the number of required ICUs, hotel rooms for isolation, etc. This paper classifies the state after being positive into "in hotel/home for isolation," "in hospital with a mild state," "in hospital with a severe state," "recovered," and "dead" and estimates the transition probabilities among those states from the data about confirmed positive cases in Tokyo, Japan. This paper shows the parameters estimated from different periods and discusses the difference considering the pandemic situation. An agent simulation using the estimated transition probabilities as its parameters is also proposed. The result of the simulation from August to November 2020 shows the predicted number of agents is close to the actual data. As one of the possible applications to the proposed agent simulation, this paper shows the simulation result from December 2020 to January 2021 under a hypothetical situation. [ABSTRACT FROM AUTHOR]

In this paper, a new delayed fractional-order model including susceptible migratory birds, infected migratory birds and predators is proposed to discuss the spread of diseases among migratory birds. Fear of predators is considered in the model, as fear can reduce the reproduction rate and disease transmission rate among prey. First, some basic mathematical results of the proposed model are discussed. Then, time delay is regarded as a bifurcation parameter, and the delay-induced bifurcation conditions for such an uncontrolled system are established. A novel periodic pulse feedback controller is proposed to suppress the bifurcation phenomenon. It is found that the control scheme can successfully suppress the bifurcation behavior of the system, and the pulse width can be arbitrarily selected on the premise of ensuring the control effect. Compared with the traditional time-delay feedback controller, the control scheme proposed in this paper has more advantages in practical application, which not only embodies the advantages of low control cost and easy operation but also caters to the periodic changes of the environment. The proposed control scheme, in particular, remains effective even after the system has been disrupted by a constant. Numerical simulation verifies the correctness of the theoretical results. [ABSTRACT FROM AUTHOR]

For example, in recruiting participants randomly from those registered for healthcare in England, the REACT-1 design attempts to reduce the impact of temporal variation when making growth rate estimates (Riley et al., [4]). REACT is a program of studies separated into REACT-1 (Riley et al., [4]) that collects self-administered nose and throat swabs (Riley et al., [4]) and REACT-2 that collects self-administered lateral-flow antibody tests (Ward et al., [6]). In addition to growth rates, population surveys of infection provide estimates of prevalence at national and regional scales that can be easily understood as measures of individual risk: measured swab-positivity is easily translated into odds of infection. [Extracted from the article]

Introduction: A variety of national and international guidelines exist around the management of carbapenem resistant Enterobacteriaceae (CREs), but some of these are several years old and do not reflect current epidemiology and they also do not necessarily give pragmatic advice around active surveillance of CREs in countries with a high burden of cases and limited resources. This paper aims to provide a best practice position paper to guide active surveillance in a variety of scenarios in these settings, and discusses which patients should be screened, what methods could be used for screening, and how results might influence infection prevention interventions. Methods: This paper was developed as a result of a series of meetings of expert opinion leaders representing the major infectious disease and infection prevention societies in Italy and having the endorsement of AMCLI (Italian Association of Clinical Microbiology) and SITA (Italian Society for Anti-infective Therapy). There was no attempt to undertake a full systematic review of the evidence, as it was felt that this was inadequate to inform a pragmatic view on the best way forward based on current epidemiology and infection rates. Key recommendations: Key recommendations focus on the urgent need to promote measures to prevent transmission and infection, focusing on high risk patients and clinical areas, as well as outbreak situations. Active surveillance leading to appropriate infection prevention precautions plays a major role in this. Conclusions: There are limited national or international guidelines giving pragmatic advice on the most appropriate measures for active surveillance and management of colonized patients in a high-burden setting such as Italy. While individual hospitals and regions will need to formulate their own policies based on local epidemiology, this position paper attempts to highlight current best practice in this area and provide pragmatic advice for clinicians, infection prevention staff, and healthcare managers. [ABSTRACT FROM AUTHOR]

B Wen-jen Hsieh, National Cheng Kung University: b This paper presents an overall picture of Taiwan's fight against the COVID-19 pandemic in Taiwan, from its efforts to curb the coronavirus from spreading to its population and the relevant impacts of the pandemic to its domestic economy. As COVID-19 is a rather new and complicated issue, this paper is valuable in terms of introducing Taiwan's Centers for Disease Control disease prevention strategies to the international community, as many of the countries and regions around the world may be still suffering badly from the pandemic. [Extracted from the article]

Background: A larger percentage of social housing tenants have poorer physical and mental health outcomes compared to private renters and homeowners. They are also at a greater risk of respiratory conditions, cardiovascular disease, communicable disease transmission and mortality. One approach that aims to reduce health inequalities is to create research partnerships with underserved local communities. Our primary aim was to develop a research partnership with social housing tenants in Nottingham and our secondary aim was to explore the health priorities of these social housing tenants to inform future research applications. We also hope to provide a descriptive process of PPI within a social housing context for other researchers to learn from. Methods: We used Public and Patient Involvement (PPI) as the foundation of this work, as we believed that people with lived experience of social housing, also end-users of the research, were best placed to inform us of the areas with the greatest research need. Through online and in-person focus groups, we discussed with tenants, collectively named a Social Advisory Group (SAG), their health concerns and priorities. Together they raised 26 health issues, which were combined with 22 funding opportunity themes being offered by the NIHR (National Institute for Health and Care Research). This was with the purpose of investigating whether there was alignment between the health needs of Nottingham's social housing tenants and the NIHR's research priorities. A prioritisation technique (Diamond Nine) was used to sort in total, 48 areas of health and wellbeing, into three top priorities. Tenants were provided the opportunity to be involved in public health research in other ways too, such as reviewing this paper and also an NIHR Programme Development Grant application to expand and continue this work. One was also offered the opportunity to be a public co-applicant. Results: The group prioritised improvements in the quality of social housing, mental health and healthcare services. There was only some alignment between these and the NIHR funding themes. Other factors, such as age and race, also determined individual health priorities.. The diversity and reach of the current project were limited, however this is something we hope to improve in the future with more funding. We learned that tenants have varying degrees of mobility and technological abilities, requiring both online and in-person meetings. Plain English summary: Social housing is offered to people who cannot afford to buy or rent in the open market, and a larger percentage of social housing tenants have poorer physical and mental health outcomes compared to the general population. One approach that aims to reduce health inequalities is to create sustainable research partnerships with underserved local communities. Our primary aim was to involve social housing tenants in public health research, as they are best placed to tell us the type of research they would benefit from. The secondary aim was to explore the health priorities of social housing tenants to inform future research applications. We also hope to describe the process of PPI within a social housing context for other researchers to learn from. To achieve these aims, we established a research partnership with a group of social housing tenants in Nottingham and spoke to them about the areas of their health they wanted to improve (i.e., their priorities). The topics that were discussed the most were the need for improved mental health, quality of social housing and healthcare services, however this varied between individuals according to race and age. We learned several things throughout this process. Firstly, the combination of mobility and technological abilities amongst tenants meant that meetings must be held both in-person and online. This ensured they remained accessible and convenient. Secondly, we learnt that in-person meetings should be held in a neutral space to encourage different members of the group to attend. Finally, in general, people were very enthusiastic about this partnership and were committed to seeing improvements in public health. We therefore provided more opportunities for the group to be involved in research. For example, they were offered the opportunity to write and edit a lay summary for a future research application, which was based on the priorities identified in this paper. One member of the group was nominated to be the public co-applicant , which would allow us to increase the reach of this housing work across the East Midlands. It would also allow us to increase the diversity of the group, as currently it is made up of mostly retired females of British origin. Involving the public in health research has been central to this process and continues to be important in the production of accessible and relevant research. [ABSTRACT FROM AUTHOR]

During COVID and lockdown, many prisoners have not only been affected by infection transmission in crowded and ill-equipped institutions, they have also been separated from a range of supports, including loss of family and professional supports and support for prisoners with addiction and/or mental health problems has been disrupted. This paper reports on evidence of how peer-based recovery organizations have attempted to mitigate these adverse effects, based on a case study of one prison in the North-West of England, using a range of routine reporting data and original research data. The paper shows how prison-based peer recovery support has not only continued through lockdown but grown both in the prison and in continuing care on release. The key conclusion is that Lived Experience Recovery Organizations (LEROs) have a vital role to play in offering continuing care to prison populations both to support early recovery and to sustain change around release back into the community, in COVID but also more generally. [ABSTRACT FROM AUTHOR]

Cholera, as an endemic disease around the world, has imposed great harmful effects on human health. In addition, from a microscopic viewpoint, the interference of random factors exists in the process of virus replication. However, there are few theoretical studies of viral infection models with biologically reasonable stochastic effects. This paper studied a stochastic cholera model used to describe transmission dynamics in China. In this paper, we adopted a special method to simulate the effect of environmental perturbations to the system instead of using linear functions of white noise, i.e., the transmission rate of environment to human was satisfied Ornstein-Uhlenbeck processes, which is a more practical and interesting. First, it was theoretically proved that the solution to the stochastic model is unique and global, with an ergodic stationary distribution. Moreover, by solving the corresponding Fokker-Planck equation and using our developed algebraic equation theory, we obtain the exact expression of probability density function around the quasi-equilibrium of the stochastic model. Finally, several numerical simulations are provided to confirm our analytical results. [ABSTRACT FROM AUTHOR]

Background: As the global community begins recovering from the COVID-19 pandemic, the challenges due to its aftermath remain. This health crisis has highlighted challenges associated with airborne pathogens and their capacity for rapid transmission. While many solutions have emerged to tackle this challenge, very few devices exist that are inexpensive, easy to manufacture, and versatile enough for various settings. Methods: This paper presents a novel suction device designed to counteract the spread of aerosols and droplets and be cost-effective and adaptable to diverse environments. We also conducted an experimental study to evaluate the device's effectiveness using an artificial cough generator, a particle counter, and a mannequin in an isolated system. We measured droplet removal rates with simulated single and repeated cough incidents. Also, measurements were taken at four distinct areas to compare its effectiveness on direct plume versus indirect particle removal. Results: The device reduced airborne disease transmission risk, as evidenced by its capacity to decrease the half-life of aerosol volume from 23.6 minutes to 15.6 minutes, effectively capturing aerosol-sized droplets known for their extended airborne persistence. The suction device lessened the peak total droplet volume from peak counts. At 22 minutes post peak droplet count, the count had dropped 24% without the suction device and 43% with the suction device. Conclusions: The experiment's findings confirm the suction device's capability to effectively remove droplets from the environment, making it a vital tool in enhancing indoor air quality. Given the sustained performance of the suction device irrespective of single or multiple cough events, this demonstrates its potential utility in reducing the risk of airborne disease transmission. 3D printing for fabrication opens the possibility of a rapid iterative design process, flexibility for different configurations, and rapid global deployment for future pandemics. [ABSTRACT FROM AUTHOR]

This paper focuses on the discovery of unusual spatiotemporal associations across multiple phenomena from distinct application domains in a spatial neighborhood where each phenomenon is represented by anomalies from the domain. Such an approach can facilitate the discovery of interesting links between distinct domains, such as links between traffic accidents and environmental factors or road conditions, environmental impacts and human factors, disease spread, and hydrological trajectory, to name a few. This paper proposes techniques to discover spatiotemporal associations across distinct phenomena using a series of anomalous windows from each domain that represent a phenomenon. We propose a novel metric called influence score to quantify the associated influence between the phenomena. In addition, we also propose spatiotemporal confidence, support, and lift measures to quantify these associations. Two novel algorithms for finding multi-domain spatiotemporal associations across phenomena are proposed. We present experimental results across real-world phenomena that are linked and discuss the efficacy of our approach. [ABSTRACT FROM AUTHOR]

Understanding and modeling individuals' behaviors during epidemics is crucial for effective epidemic control. However, existing research ignores the impact of users' irrationality on decision-making in the epidemic. Meanwhile, existing disease control methods often assume users' full compliance with measures like mandatory isolation, which does not align with the actual situation. To address these issues, this paper proposes a prospect theorybased framework to model users' decision-making process in epidemics and analyzes how irrationality affects individuals' behaviors and epidemic dynamics. According to the analysis results, irrationality tends to prompt conservative behaviors when the infection risk is low but encourages risk-seeking behaviors when the risk is high. Then, this paper proposes a behavior inducement algorithm to guide individuals' behaviors and control the spread of disease. Simulations and real user tests validate our analysis, and simulation results show that the proposed behavior inducement algorithm can effectively guide individuals' behavior. [ABSTRACT FROM AUTHOR]

The occurrence and spread of infectious diseases pose considerable challenges to public health. While the relationship between the built environment and the spread of infectious diseases is well-documented, there is a dearth of urban planning tools specifically designed for conducting Health Impact Assessments (HIAs) targeted at infectious diseases. To bridge this gap, this paper develops a comprehensive framework of an HIA for Urban Planning and Epidemic (HIA4UPE), formulated by considering the progression of public health incidents and the distinct transmission patterns of infectious diseases. This framework is designed to provide a comprehensive assessment by including a health risk-overlay assessment, health resource-quality assessment, health resource-equality assessment, and health outcome-impact prediction, enabling a multidimensional evaluation of the potential impacts of current environmental conditions or planning proposals on the incidence of infectious diseases. Furthermore, this paper advances the application of spatial analysis and computation, comprehensive assessment methodologies, and predictive analytics to conduct specific assessments. The theoretical framework and analytical tools presented in this paper contribute to the academic discourse and offer practical utility in urban planning and policymaking on epidemic prevention and control. [ABSTRACT FROM AUTHOR]