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The COVID-19 pandemic highlighted the dangers of airborne pathogen transmission. SARS-CoV-2 is known to be transmitted through aerosols; however, little is known about the dynamics of these aerosols in real environments, the conditions, and the minimum viral load required for infection. Efficiently measuring and capturing pathogens present in the air would help to understand the infection process. Air samplers usually take several hours to obtain an air sample. In this work a fast (1-2 min) method for capturing bioaerosols into a liquid medium has been tested in hospital rooms with COVID-19 patients. This fast sampling allows detecting transient levels of aerosols in the air. SARS-CoV-2 RNA is detected in aerosols from several hospital rooms at different levels. Interestingly, there are sudden boosts of the SARS-CoV-2 load in the air, suggesting that SARS-CoV-2 could be released abundantly at certain moments. These results show that the distribution of SARS-CoV-2-containing aerosols is not homogeneous in the hospital room. This technology is a fast and effective tool for capturing airborne matter in a very short time, which allows for fast decision-making any kind of hazard in the air is detected. It is also useful for a better understanding of aerosols dynamics.
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COVID-19 , SARS-CoV-2 , Humans , Pandemics , RNA, Viral , Respiratory Aerosols and Droplets , HospitalsABSTRACT
Consumption of alcohol in excess leads to substantial medical, economic, and societal burdens. Approximately 5.3% of all global deaths may be attributed to alcohol consumption. Moreover, the burden of alcohol associated liver disease (ALD) accounts for 5.1% of all disease and injury worldwide. Alcohol use disorder (AUD) affects men more than women globally with significant years of life loss to disability in low, middle and well-developed countries. Precise data on global estimates of alcohol related steatosis, alcohol related hepatitis, and alcohol related cirrhosis have been challenging to obtain. In the United States (US), alcohol related steatosis has been estimated at 4.3% based on NHANES data which has remained stable over 14 years. However, alcohol-related fibrotic liver disease has increased over the same period. In those with AUD, the prevalence of alcohol related hepatitis has been estimated at 10-35%. Globally, the prevalence of alcohol-associated cirrhosis has been estimated at 23.6 million individuals for compensated cirrhosis and 2.46 million for those with decompensated cirrhosis. The contribution of ALD to global mortality and disease burden of liver related deaths is substantial. In 2016 liver disease related to AUD contributed to 50% of the estimated liver disease deaths for age groups 15 years and above. Data from the US report high cost burdens associated with those admitted with alcohol-related liver complications. Finally, the recent COVID-19 pandemic has been associated with marked increase in alcohol consumption worldwide and will likely increase the burden of ALD.
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The increasing size and density of the human population is leading to an increasing risk of infectious diseases that threaten to spread yet another pandemics. The widespread use of vaccination has reduced morbidity and mortality associated with viral infections and in some cases eradicated the virus from the population entirely. Regrettably, some virus species retain the ability to mutate rapidly and thus evade the vaccine-induced immune response. New antiviral drugs are therefore needed for the treatment and prevention of viral diseases. Modern research into the structures and properties of viral proteases, which are of key importance in the life cycle of viruses, makes it possible, in our opinion, to turn these enzymes into promising targets for the development of effective viral disease control methods.
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Chaotic states of abnormal vasospasms in blood vessels make heart patients more prone to severe infections of COVID-19, eventually leading to high fatalities. To understand the inherent dynamics of such abrupt vasospasms, an N-type blood vessel model (NBVM) subjected to uncertainties is derived in this paper and investigated both in integer order (IO) as well as fractional-order (FO) dynamics. Active-adaptive controllers are designed to synchronize the chaotic turbulence responsible for undesirable fluctuations in diameter and pressure variations of the blood vessel. The FO-NBVM reveals insightful rich dynamics and faster adaptive synchronization compared to its IO model. The practical implications of this work will be useful in analysing chaotic dysfunctionalities of the blood vessel such as vasoconstriction, ischaemia, necrosis, etc. and help in developing control strategies and modular responses for COVID-19 triggered heart diseases. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
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Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), can give rise to serious and fatal consequences, especially by affecting the lungs. The disease has been reported to have a milder course in children compared to adults, however chronic diseases in children as well as in adults can pose a risk for severe COVID-19 disease. While chronic lung diseases are considered as risk factors especially, there is no clear data yet on whether childhood asthma poses a risk to COVID-19. Besides, changes in the environment, social and health system during the pandemic period have positive and negative effects on the follow-up and disease control of asthmatic children. In this article, the literature has been reviewed for determining the effects of COVID-19 in children with asthma and for the management of pediatric asthma in the pandemic.
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The study explores the dynamics of a COVID-19 epidemic in multiple susceptible populations, including the various stages of vaccination administration. In the model, there are eight human compartments: completely susceptible;susceptible with dose-1 vaccination;susceptible with dose-2 vaccination;susceptible with booster dose vaccination;exposed;infected with and without symptoms, and recovered compartments. The biological feasibility of the model is analysed. The threshold value, R0, is derived using the next-generation matrix. The stability analysis of the equilibrium points was performed locally and globally using the threshold parameter of the model. The conditions determining disease persistence is obtained. The model is subjected to sensitivity analysis, and the most sensitive parameters are identified. Also, MATLAB is used to verify the mathematical outcomes of the system's dynamic behaviour and suggests that necessary steps should be taken to keep the spread of the omicron variant infectious disease under control. The findings of this study could aid health officials in their efforts to combat the spread of COVID-19. © 2022 International Association for Mathematics and Computers in Simulation (IMACS)
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COVID-19 is the common enemy of all of us in this world. It created lot of deaths, loss of economy and many more. The pandemic has created a lot of innovation to bring solutions in helping fight the spread of novel coronavirus and other diseases. In this paper, various thermal sensors for detection of COVID-19 in early stage are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The world experienced the life-threatening COVID-19 disease worldwide since its inversion. The whole world experienced difficult moments during the COVID-19 period, whereby most individual lives were affected by the disease socially and economically. The disease caused millions of illnesses and hundreds of thousands of deaths worldwide. To fight and control the COVID-19 disease intensity, mathematical modeling was an essential tool used to determine the potentiality and seriousness of the disease. Due to the effects of the COVID-19 disease, scientists observed that vaccination was the main option to fight against the disease for the betterment of human lives and the world economy. Unvaccinated individuals are more stressed with the disease, hence their body's immune system are affected by the disease. In this study, the SVEIHR deterministic model of COVID-19 with six compartments was proposed and analyzed. Analytically, the next-generation matrix method was used to determine the basic reproduction number (R0). Detailed stability analysis of the no-disease equilibrium (E0) of the proposed model to observe the dynamics of the system was carried out and the results showed that E0 is stable if R0<1 and unstable when R0>1. The Bayesian Markov Chain Monte Carlo (MCMC) method for the parameter identifiability was discussed. Moreover, the sensitivity analysis of R0 showed that vaccination was an essential method to control the disease. With the presence of a vaccine in our SVEIHR model, the results showed that R0=0.208, which means COVID-19 is fading out of the community and hence minimizes the transmission. Moreover, in the absence of a vaccine in our model, R0=1.7214, which means the disease is in the community and spread very fast. The numerical simulations demonstrated the importance of the proposed model because the numerical results agree with the sensitivity results of the system. The numerical simulations also focused on preventing the disease to spread in the community. © 2022 The Authors
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Until the approval of vaccines at the end of 2020, societies relied on non-pharmaceutical interventions (NPIs) in order to control the COVID-19 pandemic. Spontaneous changes in individual behavior might have contributed to or counteracted epidemic control due to NPIs. For example, the population compliance to NPIs may have varied over time as people developed 'epidemic fatigue' or altered their perception of the risk and severity of COVID-19. Whereas official measures are well documented, the behavioral response of the citizens is harder to capture. We propose a mathematical model of the societal response, taking into account three main effects: the citizen response dynamics, the authorities' NPIs, and the occurrence of unpreventable events that significantly alter the virus transmission rate. A key assumption is that a society has a waning memory of the epidemic effects, which reflects on both the severity of the authorities' NPIs and on the citizens' compliance to the prescribed rules. This, in turn, feeds back onto the transmission rate of the disease, such that a higher number of hospitalizations decreases the probability of transmission. We show that the model is able to reproduce the COVID-19 dynamics in terms of hospital admissions for several European countries during 2020 over surprisingly long time scales. Also, it is capable of capturing the effects of disturbances (for example the emergence of new virus variants) and can be exploited for implementing control actions to limit such effects. A possible application, illustrated in this letter, consists of exploiting the estimations based on the data of one country, to predict and control the evolution in another country, where the virus spreading is still in an earlier phase. © 2017 IEEE.
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The spread of COVID-19 has a great impact on public transport which is closely related to social life. As an essential carrier of the cities, metro has become an important object of concern during the epidemic. Due to the high infection risk of COVID-19 in public space, it is necessary to quantitatively evaluate and perform corresponding epidemic control measures on reducing public health risks in metro station. In this paper, three strategies of passenger rescheduling, i.e. controlling the flows of inbound and outbound passengers in the station, setting route guidance in the crucial areas and shortening the interval time of train, are simulated and analyzed based on Anylogic. The performances of different strategies are characterized and evaluated by the important parameters, which include local passengers' density, inbound and outbound time. Finally, the optimization experiments based on an objective function are carried out to obtain the best strategy combination considering passengers' health safety and travel efficiency. The crucial areas with high density are obtained from the simulation results of the initial model. The three independent strategies are helpful in reducing the maximum passengers' density and average travel time. The optimization results of strategy combination and the specific parameters of each strategy are obtained by the final simulation experiment. The research findings are important reference to enhance the present health risk management level and provide specific measures of passenger organization in metro station under COVID-19. © 2023 Elsevier Ltd
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With the wide spread of COVID-19, numerous cases demonstrate that proper ventilation method can reduce the cross-infection risk obviously. Interactive cascade ventilation (ICV) as a recently proposed ventilation method, the advantage of indoor environment construction has been proven. However, few studies are conducted to investigate the virus prevention and control characteristics of ICV, which is particularly important under epidemic normalizing. Hence, this study explored and compared the cross-infection control performance of three ventilation strategies, namely mixing ventilation (MV), stratum ventilation (SV), and interactive cascade ventilation (ICV), with a validated CFD model. A typical office was selected as the background scene, where an infected person coughs, sneezes with standing or sitting at different positions. Exposure doses, health infection risk, and disease burden (DB) were employed as the evaluation indicators under different ventilation methods of multi-scenario. The research results indicated that the average aerosol exposure dose among the human respiratory region under ICV was 0.29 g/day, which was reduced by 67 % and 50 % compared with MV and SV. In addition, only in ICV can the health infection risk meets the EPA standard. The average disease health burden for exposed persons under ICV was 0.93 × 10−6 DALYs pppy, which was 37 % and 70 % lower than SV and MV. The findings obtained from this study confirm that ICV performs excellently in reducing the cross-infection risk, providing the theoretical basis for future epidemic prevention and control. © 2022 Elsevier Ltd
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Purpose: Under uncertain circumstances, digital technologies are taken as digital transformation enablers and driving forces to integrate with medical, healthcare and emergency management research for effective epidemic prevention and control. This study aims to adapt complex systems in emergency management. Thus, a digital transformation-driven and systematic circulation framework is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance. Design/methodology/approach: Aiming at adapting complex systems in emergency management, a systematic circulation framework based on the interpretive research is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance. The framework consists of four phases: (1) analysis of emergency management stages, (2) risk identification in the emergency management stages, (3) digital-enabled response model design for emergency management, and (4) strategy generation for digital emergency governance. A case study in China was illustrated in this study. Findings: This paper examines the role those digital technologies can play in responding to pandemics and outlines a framework based on four phases of digital technologies for pandemic responses. After the phase-by-phase analysis, a digital technology-enabled emergency management framework, titled "Expected digital-enabled emergency management framework (EDEM framework)” was adapted and proposed. Moreover, the social risks of emergency management phases are identified. Then, three strategies for emergency governance and digital governance from the three perspectives, namely "Strengthening weaknesses for emergency response,” "Enhancing integration for collaborative governance,” and "Engaging foundations for emergency management” that the government can adopt them in the future, fight for public health emergency events. Originality/value: The novel digital transformation-driven systematic circulation framework for public health risk response and governance was proposed. Meanwhile, an "Expected digital-enabled emergency management framework (EDEM model)” was also proposed to achieve a more effective empirical response for public health risk response and governance and contribute to studies about the government facing the COVID-19 pandemic effectively. © 2022, Emerald Publishing Limited.
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Purpose: Rates of suicidal ideation and attempts among adolescents, especially young sexual and gender minority (SGM) adolescents, have been on the rise over the last several years. The COVID-19 pandemic has only exacerbated risk factors for suicidality and introduced additional barriers to accessing needed medical care and other help-seeking resources. This study sought to estimate the prevalence of suicidal thoughts, plans, and attempts among young SGM adolescents residing in the South, a geographic region with high unmet health needs, greater multi-level experiences of discrimination, and a hostile policy landscape marked by numerous anti-LGBTQ bills and few protections on the basis of sexual and gender identity. Methods: Tailored social media advertising was used between July 2021 and April 2022 to recruit and enroll 384 SGM adolescents aged 13-17 years residing in eight southeastern states (Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, and Tennessee). Study staff used multiple authentication procedures to verify the uniqueness and validity of each enrollment. Respondents completed an online cross-sectional survey that assessed prior suicidality (thoughts, plans, attempts). Respondents were provided a number of help-seeking resources at the conclusion of the survey. The mean respondent age was 16.1 years (SD = 1.0), and respondents were primarily female (45.6%, n=175), bisexual (38.0%, n=146), and non-Hispanic White (52.6%, n=202). We used unadjusted and adjusted logistic regression analyses to identify sociodemographic, health, and relationship correlates of prior suicidal ideation and attempts. Results: Overall, 70.6% (n=271) of SGM adolescents reported ever having serious suicidal thoughts. Of these respondents, 74.9% (n=203) had planned and 43.9% (n=119) had attempted suicide. Adjusted analyses showed that the likelihood of prior suicidal ideation was higher among respondents who identified as Hispanic (AOR: 2.7;95% CI: 1.1, 7.0), non-Hispanic Multiracial (AOR: 4.1;95% CI: 1.2, 13.9), and non-Hispanic White (AOR: 3.0;95% CI: 1.4, 6.3) as compared to non-Hispanic Black, and was twice as high among respondents 17 years of age (AOR: 2.3;95% CI: 1.1, 5.0) compared to those 15 years of age. Having a diagnosed disability (AOR: 3.4;95% CI: 1.9, 6.1) and poor parental relationship quality (AOR: 2.3;95% CI: 1.2, 4.1) were also associated with an increased likelihood of prior suicidal ideation. The likelihood of prior attempted suicide was significantly greater among SGM adolescents who reported poor parental relationship quality (AOR: 2.0;95% CI: 1.1, 3.6), a diagnosed disability (AOR: 2.1;95% CI: 1.1, 4.0), and a chronic health condition (AOR: 2.5;95% CI: 1.4, 4.7). Conclusions: The prevalence of lifetime suicidality was quite high among SGM adolescents in the South, even higher than estimates reported by national studies among similarly aged adolescents. The findings suggest the immediate need for tailored efforts to prevent and address suicidality among SGM adolescents, especially given the compounding effects of the COVID-19 pandemic on adolescents' health. The findings also suggest the need to intervene with the parents of SGM adolescents or increase acceptance and connectedness in other close relationships. Sources of Support: This study was funded by the Centers for Disease Control and Prevention's National Center for Injury Prevention and Control (K01CE003226).
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Purpose: This study aims to investigate technology-based health and safety (H&S) management to control the spread of disease on construction sites using a partial least squares structural equation modelling (PLS-SEM) approach. Design/methodology/approach: An extensive literature review is conducted to develop a conceptual framework. The variables identified from the literature review are included in a cross-sectional survey which gathered a total of 203 valid feedback. The variables for challenges are grouped under their relevant construct using exploratory factor analysis. Then, a hypothesized model is developed for PLS-SEM analysis using Smart PLS software. Later, the outcome of the model is further validated by nine construction experts using a semi-structured questionnaire survey. Findings: The results rationalized the relationships between the COVID-19 H&S measures, challenges in implementing COVID-19 H&S measures on construction sites and the innovative technologies in transforming construction H&S management during the COVID-19 pandemic. The possible challenges that obstruct the implementation of H&S measures are highlighted. The potential technologies which can significantly transform H&S management by reducing the impact of challenges are presented. Practical implications: The findings benefited the industry practitioners who are suffering disruption in construction operations due to the pneumonic plague. Originality/value: By developing a conceptual model, this study reveals the contribution of technology-based H&S management for construction projects during the COVID-19 pandemic, which remains under-studied, especially in the context of the developing world. © 2022, Emerald Publishing Limited.
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This study aimed to investigate the most common Coronavirus pathogens in humans in the third millennium. In this study, all documents in English on pathogenic coronaviruses were examined from the beginning of 2002 to March 27, 2020. Articles were searched through reliable databases such as PubMed, Web of Science, Scopus, Google scholar, Science Direct, Cochrane library, and BioRxiv using the keywords "COVID-19", "Coronavirus 2019", "SARS-CoV," and" MERS-CoV." In addition, reliable health websites, such as WHO and the Centers for Disease Control and Prevention (CDC), were used to obtain new figures and information on these diseases. A total of 1563 articles and documents were extracted, and after reviewing the full texts of these articles, 100 papers and documents with necessary eligibility were finally selected in the present review study. The outbreak of pathogenic viruses, especially the latest one, i.e., COVID-19, as a severe threat can affect the entire global community, in particular medical staff who are at the forefront of fighting against the virus. It can generally be concluded that coronaviruses have high pathogenesis, with very rapid person-to-person transmission. Since human knowledge is not yet complete about the new type of this virus, i.e., COVID-19, there are no definitive treatments for the virus. Thus, the best and only way to prevent affection from this virus is currently fully implementing health protocols and preventing self-infection and the virus outbreak.
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The federal Centers for Disease Control and Prevention (CDC) has released a study that showed suicide among adolescents, already on the increase before the March 2020 beginning of the pandemic in the United States, was contributed to by the adversity experienced before and during the pandemic.
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Objective: We aimed to evaluate asthma control status, drug compliance and anxiety levels of children and their parents who were followed up with the diagnosis of asthma during the COVID-19 pandemic. Material and Methods: Sixty-seven children aged between 8-12 years diagnosed with asthma and their parents were prospectively recruited to the study. A questionnaire including demographic features such as age, gender, asthma medications and questions about COVID-19 prepared according to a 5-point Likert scale was conducted to the parents. Children completed the State-Trait Anxiety Inventories for Children (STAI-C) scales, and childhood asthma control test(c-ACT). Parents also fulfilled STAI scales. Results: The mean age of the patients was 9.5±1.2 years, the median follow-up period for asthma (C-ACT) was 36 (21-66) months, and 45 (67.2%) were male. Most of the children were using their asthma medication regularly. Children's STAI-C state and trait anxiety scores showed a statistically significant positive correlation with parents' STAI state and trait anxiety scores. The anxiety levels of parents who thought that they would get the disease and that there would be no effective treatment and vaccine against COVID-19 were found to be higher. Conclusion: During the pandemic period, regular asthma follow-up and drug compliance are very important controlling asthma symptoms in children. Considering the effects of the pandemic in children with asthma, psychosocial evaluations during outpatient controls may have positive effects on children's mental health and disease control.
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Since the worldwide outbreak of the COVID-19 pandemic in December 2019, Taiwan has successfully stopped the spread of COVID-19. The policies and works of the epidemic control are a complex and dynamic process. This study applied the methodology of system dynamics to explore the structure of the COVID-19 epidemic control system in Taiwan and analysed its system behaviours. The results show that the system is composed of key subsystems, such as national health insurance and quarantine, combined with government policies. Joint efforts among the central and local governments and the general public have been made to strengthen the quarantine of border entrants, encourage the public to wear masks and employ technology for contact tracing and tracking down those being tested positive with COVID-19. Together with the efficient increase in the capacity of testing and medical treatments, these measures can effectively reach a balance between epidemic control and economic activities. © 2022 John Wiley & Sons, Ltd.