Analysis of avian disease transmission risk and prevention measures in China

Many zoonotic diseases are found in wild animals and present a serious risk to human health, in particularly the virus carried by birds flying freely around the world is hard to control. There are three main bird migration routes which cover the most areas of China. It is important to investigate and fully understand the types of avian transmitted diseases in key areas on the bird migration routines and its impacts on both birds and human health. However, no literature is available in how about the risk of virus carried by migrating birds, and how to predict and reduce this risk of virus spreading to human being so far. In this paper, we first reviewed the main pathogen types carried by birds, including coronaviruses, influenza viruses, parasites, Newcastle disease virus (NDV), etc., and then discussed the spread risk of avian viruses to human being and animals in key areas of biosafety prevention. We also analyzed and discussed the risk of cross-spread of diseases among different bird species in nature reserves located on bird migration routes which provide sufficient food sources for migratory birds and attract numerous birds. Diseases transmitted by wild birds pose a serious threat to poultry farms, where high density of poultry may become avian influenza virus (AIV) reservoirs, cause a risk of avian influenza outbreaks. Airports are mostly built in suburban areas or remote areas with good ecological environment. There are important transit places for bird migration and densely populated areas, which have serious risk of disease transmission. Finally, this paper puts forward the following prevention suggestions from three aspects. First, establish and improve the monitoring and prediction mechanism of migratory birds, and use laser technology to prevent contact between wild birds and poultry. Second, examine and identify virus types carried by birds in their habitats and carry out vaccination. Third, protect the ecological environment of bird habitat, and keep wild birds in their natural habitat, so as to reduce the contact between wild birds and human and poultry, and thus reduce the risk of virus transmission.

Marginal Cost of Energy Volatility in the Brazilian Interconnected Power System

From 2018 to 2022, on average, 70% of the Brazilian effective electric generation was produced by hydropower, 10% by wind power, and 20% by thermal power plants. Over the last five years, Brazil suffered from a series of severe droughts. As a result, hydropower generation was reduced, but demand growth was also declined as results of the COVID-19 pandemic and economic recession. From 2012 to 2022, the Brazilian reservoir system operated with, on average, only 40% of the active storage, but storage recovered to normal levels in the first three months of 2022. Despite large capacity of storage reservoirs, high volatility of the marginal cost of energy was observed in recent years. In this paper, we used two optimization models, NEWAVE and HIDROTERM for our study. These two models were previously developed for mid-range planning of the operation of the Brazilian interconnected power system. We used these two models to optimize the operation and compared the results with observed operational records for the period of 2018-2022. NEWAVE is a stochastic dual dynamic programming model which aggregates the system into four subsystems and 12 equivalent reservoirs. HIDROTERM is a nonlinear programming model that considers each of the 167 individual hydropower plants of the system. The main purposes of the comparison are to assess cooperation opportunities with the use of both models and better understand the impacts of increasing uncertainties, seasonality of inflows and winds, demand forecasts, decisions about storage in reservoirs, and thermal production on energy prices. © World Environmental and Water Resources Congress 2023.All rights reserved

Silent superbug killers in a river near you how factory farms contaminate public water courses on three continents

Water downstream from factory farms harbours an invisible threat to people's health which could eclipse the COVID-19 crisis. The threat? Antibiotic Resistance Genes (ARGs) which are driving antimicrobial resistance the world's superbug crisis - projected to kill up to 10 million people annually by 2050. This publication reports the presence of ARGs in animal waste discharged from industrial farms into public waterways or onto soil (or crops) in four countries. Gauge community impact and sentiment regarding the issue was also highlighted. The water and sediment from public water courses connected to effluent discharges from 6-10 pig farms were tested in each of four countries (Canada, Spain, Thailand and the USA).

Clinical and epidemiologic features of SARS-CoV-2 in dogs and cats compiled through national surveillance in the United States

OBJECTIVE: To characterize clinical and epidemiologic features of SARS-CoV-2 in companion animals detected through both passive and active surveillance in the US. ANIMALS: 204 companion animals (109 cats, 95 dogs) across 33 states with confirmed SARS-CoV-2 infections between March 2020 and December 2021. PROCEDURES: Public health officials, animal health officials, and academic researchers investigating zoonotic SARS-CoV-2 transmission events reported clinical, laboratory, and epidemiologic information through a standardized One Health surveillance process developed by the CDC and partners. RESULTS: Among dogs and cats identified through passive surveillance, 94% (n = 87) had reported exposure to a person with COVlD-19 before infection. Clinical signs of illness were present in 74% of pets identified through passive surveillance and 27% of pets identified through active surveillance. Duration of illness in pets averaged 15 days in cats and 12 days in dogs. The average time between human and pet onset of illness was 10 days. Viral nucleic acid was first detected at 3 days after exposure in both cats and dogs. Antibodies were detected starting 5 days after exposure, and titers were highest at 9 days in cats and 14 days in dogs. CLINICAL RELEVANCE: Results of the present study supported that cats and dogs primarily become infected with SARS-CoV-2 following expo- sure to a person with COVID-19, most often their owners. Case investigation and surveillance that include both people and animals are necessary to understand transmission dynamics and viral evolution of zoonotic diseases like SARS-CoV-2.

Monkeypox (mpox) is a new problem on a global scale for humanity.

Purpose - to draw attention to an infection that was little known, but has now become a global problem for society;to familiarize readers with the peculiarities of the 2022 monkeypox outbreak and to increase the level of alertness of doctors to this disease. Monkeypox is a global problem because the disease is spreading rapidly, covering 111 countries. Three cases were diagnosed in Ukraine. It is predominantly a self-limited infection, but there are severe and deadly complications. The lethality of this disease ranges from 0% to 11%. The course of the disease is more severe in children and people with reduced immunity. Vertical transmission of the virus from mother to child is possible, resulting in congenital monkeypox. Monkeypox is a zoonotic disease and its natural reservoir is not exactly known, but rodents are most likely to act. In most cases, person-to-person transmission of the virus occurs through close skin to skin contact, often during sexual intercourse. At the beginning of the outbreak 98% of cases of disease were was diagnosed in homo- and bisexuals. Airborne transmission is also possible. Infection is possible through close contact with infectious skin lesions. Clinically, the initial period resembles influenza, but lymphadenopathy is characteristic, which is considered a pathognomonic symptom of mpox. The rash is similar to that of chickenpox, but with more prevalent location on palms and soles than in chickenpox. In the presence of a vesicular rash in a patient, it is necessary to exclude monkeypox. PCR diagnostics of the virus in samples of vesicles or crusts has the greatest diagnostic value. Hygienic skin care is important. Antiviral drugs (tecovirimat, brincidofovir) are recommended only in severe cases. To reduce the spread of infection, international rules apply as for other infections, such as COVID-19. The monkeypox virus vaccine is recommended primarily for groups at risk of infection, including medical personnel who may come into contact with the patient or samples for laboratory testing. Being aware for this infection, following international health regulations, it is possible to prevent the further spread of monkeypox.Copyright © 2023 Tomsk State University. All rights reserved.

Sequestration methodology in practice through evaluation of joint demographic distributions of 54,185 patients in the Medical Imaging and Data Resource Center (MIDRC) data commons

The Medical Imaging and Data Resource Center (MIDRC) is a multi-institutional effort to accelerate medical imaging machine intelligence research and create a publicly available data commons as well as a sequestered commons for performance evaluation of algorithms. This work sought to evaluate the currently implemented methodology for apportioning data to the public and sequestered data commons by investigating the resulting distributions of joint demographic characteristics between the public and sequestered commons. 54,185 patients whose de-identified imaging studies and metadata had been submitted to MIDRC were previously separated into public and sequestered commons using a multi-dimensional stratified sampling method, resulting in 41,556 patients (77%) in the public commons and 12,629 patients (23%) in the sequestered commons. To compare the balance obtained in the joint distributions of patient characteristics from use of the developed sequestration method, patients from each commons were separated into bins, representing a unique combination of the demographic variables of COVID-19 status, age, race, and sex assigned at birth. The joint distributions of patients were visualized, and the absolute and percent difference in each bin from an exact 77:23 split of the data were calculated. Results indicated 75.9% of bins obtained differences of less than 15 patients, with a median difference of 3.6 from the total data for both public and sequestered commons. Joint distributions of patient characteristics in both the public and sequestered commons closely matched each other as well as that of the total data, indicating the sequestration by stratified sampling method has operated as intended. © 2023 SPIE.

Warm-blooded animal toxoplasmosis and its connection to COVID-19: a review

Toxoplasmosis is a zoonotic illness that spreads from animals to people. Toxoplasma gondii, a protozoan parasite that infects warm-blooded mammals, causes the sickness. Toxoplasmosis is a parasitic infection that causes abortion and death in animals. Cats are the parasite's sole sexual hosts, thus they're the only ones who can get it. Because cats are frequent pets, they are highly likely to come into touch with humans. As a result, the disease poses a risk to human health. The potential danger is influenced by the frequency of oocyst secretion and the level of contamination in the environment. Toxoplasmosis has serious consequences for both animal and human health, hence preventative actions should be taken to reduce the dangers. COVID-19 is affected by such methods as well. Toxoplasmosis is thought to increase immunological and immunosuppressive factors, which increases the chance of SARS-CoV-2 infection and the severity of the resulting COVID-19. Research into Toxoplasma gondii intermediate hosts might help understand COVID-19's dynamics and determine if the virus can be transferred from animals to humans. We explore what we know about Toxoplasma gondii infection as a human parasitosis and how it may alter the course of SARS-CoV-2 infection in this review study.

Risky business: how Peru's wildlife markets are putting animals and people at risk

This publication presents Peru's illegal wildlife trade activity before and after Covid-19 pandemic which creates a perfect conditions for zoonotic emerging infectious diseases such as SARS-CoV-2 to emerge and spread among animals and people, thus recommendations to prevent this scenario are highlighted.

Right atrial reservoir strain and right ventricular strain improves in patients recovered from hospitalisation for non-severe COVID-19.

PURPOSE: Those hospitalised with coronavirus disease 2019 (COVID-19) have recently been shown to have impaired right ventricular (RV) strain, but data about the course of heart function after discharge are limited. Our aim was to compare right ventricular strain and right atrial reservoir strain (RASr) associated with COVID-19 between acute disease (during hospitalisation) and follow-up (after discharge). METHODS: In this retrospective single-center study, we analysed the echocardiograms of 43 patients hospitalised for non-severe COVID-19 between December 2020 and March 2021, undergoing echocardiography both during and after hospitalisation. In addition to conventional echocardiographic parameters, we applied 2-dimensional speckle tracking to obtain RV global longitudinal strain (RV-GLS), RV free wall strain (RV-FWS), and RASr. RESULTS: Mean (standard deviation) age of the study population was 50 (9) years, and 18 (42%) of the participants were women. Median duration between exams was 6 months (range, 5-7 months). Both mean RV-GLS and mean RV-FWS significantly increased at follow-up (-20.8 [3.8] vs. -23.5 [2.8], p < 0.001 and -23.3 [4.2] vs. -28.2 [2.8], p < 0.001; respectively), and RASr significantly improved as well (-32.3 [6.6] vs. -41.9 [9.8], p < 0.001). CONCLUSION: In patients hospitalised for non-severe COVID-19 pneumonia, RV-GLS, RV-FWS, and RASr improved significantly between acute disease and 6 months after discharge.

Corrigendum: Evolution, ecology, and zoonotic transmission of betacoronaviruses: a review.

[This corrects the article DOI: 10.3389/fvets.2021.644414.].

Evaluation of infection probability in a multiroom office space using computational fluid dynamics coupled with Wells-Riley model

The current COVID-19 pandemic has highlighted the importance of health safety assessment in various indoor scenarios. Computational fluid dynamics (CFD) combined with a modified Wells-Riley equation provides a powerful tool to analyse local infection probability in an indoor space. Compared to a single infection probability characterising the space in the traditional Wells-Riley model, the coupled approach provides a distribution of infection probability within the space. Furthermore, this approach avoids assuming a well-mixed state, usually related to Wells-Riley equation. This study compares displacement and mixing ventilation strategies with four different ventilation rates to assess the local quanta concentrations modelled using passive scalar transport approach. The simulation results are processed to also account for the effect of wearing masks and vaccinations. The result show that a well-designed displacement ventilation system can significantly reduce infection probability compared to mixing ventilation system at similar airflow rate. Additionally, the results emphasised the importance of wearing mask and getting vaccinated as a means of reducing infection probability. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

Zooanthropogenic potential of SARS-CoV-2 virus: Implications for vaccine-mediated immunity

The human pandemic caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that started in December, 2019 is still continuing in various parts of the world. The SARS-CoV-2 has evolved through sporadic mutations and recombination events and the emergence of alternate variants following adaptations in humans and human-to-animal transmission (zooanthraponosis) has raised concerns over the efficacy of vaccines against new variants. The animal reservoir of SARS-CoV-2 is unknown despite reports of SARS-CoV- 2-related viruses in bats and pangolins. A recent report of back-andforth transmission of SARS-CoV-2 between humans and minks on mink farms in the Netherlands has sparked widespread interest in zooanthroponotic transmission of SARS-CoV-2 followed by reemergence to infect human populations. The risk of animal to human transmission depends on virus-host interaction in susceptible species that may be short-term or long term risks. The short term risk might be due to infection to humans during the viremic stage in susceptible animals. The long term risk might be either due to persistence of the virus at population level or latency of infection leading to risk of evolution and re-emergence of the virus. Experimental studies have identified a range of animals that are susceptible and permissive to SARS-CoV-2 infection viz. cats, ferrets, hamsters, mink, non-human primates, tree shrews, raccoon dogs, fruit bats, and rabbits. The health impacts of SARS-CoV-2 infection in animals are unknown and it is likely that other susceptible species have not been discovered yet. Apart from farmed animals, stray cats and rodents have been identified as a potential opportunity for ongoing transmission in intense farming situations. Recognizing animal species that are most susceptible to infection is the first step in preventing ongoing transmission from humans. Minimizing the risk of zooanthraponosis requires multi-sectoral coordination that includes implementation of strict biosecurity measures such as controlled access to farms that house susceptible animals, bio-secure entry and exit protocols, disinfection protocols in farm, down time for animal transport vehicles and daily assessments of human handlers for exposure to SARS-CoV- 2. Hence, active surveillance in animal species that are prioritized based on risk assessment need to be initiated in coordination with health and environment sectors for early identification of emerging and re-emerging variants of SARS-CoV-2 virus in animals.

Johan Sverdrup: the Final Lap of a True North Sea Giant

The second phase of Johan Sverdrup came on stream in December 2022. This paper focuses on the execution of Johan Sverdrup phase 2 and describes the assessments and investments for improved oil recovery (IOR) from one of the largest oil fields in Norway. The Johan Sverdrup field development has been called Equinor's ‘digital flagship', and this paper includes the proof of concept for the digital initiatives after more than three years of operation. Despite the Covid-19 pandemic Johan Sverdrup phase 2 has been able to deliver on schedule, under budget, and with an excellent safety record. The paper includes experiences from the concept development and engineering phase to the global contracting strategy, through the construction on multiple building sites in Norway and globally, and until the end of the completion phase offshore Norway. Johan Sverdrup is the third largest oil field on the Norwegian Continental Shelf (NCS), and with recoverable reserves estimated at 2.7 billion barrels of oil equivalents, has the resources to be a North Sea Giant. Start-up of the Johan Sverdrup phase 2 extends and accelerates oil and gas production from the NCS for another five decades. This paper aims to highlight what it took to make Johan Sverdrup a true North Sea Giant, fit for the 21st century: a safe and successful execution of a mega-project, with next-generation facilities adapted to a more digital way of working, with an ambition to profitably recover more than 70% of the resources, while limiting carbon emissions from production to a minimum. In many ways the Johan Sverdrup development has set a new standard for project execution in Equinor. The impact of different variables made during the execution of the project, such as the Covid-19 pandemic, market effects, procurement strategies, value improvement initiatives, execution performance and reservoir characteristics is addressed, as well as describing assessments and investments for improved oil recovery (IOR). Data acquisition, Permanent Reservoir Monitoring (PRM), fibre-optic monitoring of wells, innovative technologies, and digitalization, as well as new ways of working are included. Equinor ´s digital strategy was established in 2017, and Johan Sverdrup was highlighted as a digital flagship at that time and a frontrunner in applying digital solutions to improve safety and efficiency from the development to the operational phase. What has been implemented so far together with experiences will be shared. © 2023, Offshore Technology Conference.

Long COVID brain fog and muscle pain are associated with longer time to clearance of SARS-CoV-2 RNA from the upper respiratory tract during acute infection.

Introduction: The incidence of long COVID is substantial, even in people with mild to moderate acute COVID-19. The role of early viral kinetics in the subsequent development of long COVID is largely unknown, especially in individuals who were not hospitalized for acute COVID-19. Methods: Seventy-three non-hospitalized adult participants were enrolled within approximately 48 hours of their first positive SARS-CoV-2 RT-PCR test, and mid-turbinate nasal and saliva samples were collected up to 9 times within the first 45 days after enrollment. Samples were assayed for SARS-CoV-2 using RT-PCR and additional SARS-CoV-2 test results were abstracted from the clinical record. Each participant indicated the presence and severity of 49 long COVID symptoms at 1-, 3-, 6-, 12-, and 18-months post-COVID-19 diagnosis. Time from acute COVID-19 illness onset to SARS-CoV-2 RNA clearance greater or less than 28 days was tested for association with the presence or absence of each of 49 long COVID symptoms at 90+ days from acute COVID-19 symptom onset. Results: Self-reported brain fog and muscle pain at 90+ days after acute COVID-19 onset were negatively associated with viral RNA clearance within 28 days of acute COVID-19 onset with adjustment for age, sex, BMI ≥ 25, and COVID vaccination status prior to COVID-19 (brain fog: aRR 0.46, 95% CI 0.22-0.95; muscle pain: aRR 0.28, 95% CI 0.08-0.94). Participants reporting higher severity brain fog or muscle pain at 90+ days after acute COVID-19 onset were less likely to have cleared SARS-CoV-2 RNA within 28 days. The acute viral RNA decay trajectories of participants who did and did not later go on to experience brain fog 90+ days after acute COVID-19 onset were distinct. Discussion: This work indicates that at least two long COVID symptoms - brain fog and muscle pain - at 90+ days from acute COVID-19 onset are specifically associated with prolonged time to clearance of SARS-CoV-2 RNA from the upper respiratory tract during acute COVID-19. This finding provides evidence that delayed immune clearance of SARS-CoV-2 antigen or greater amount or duration of viral antigen burden in the upper respiratory tract during acute COVID-19 are directly linked to long COVID. This work suggests that host-pathogen interactions during the first few weeks after acute COVID-19 onset have an impact on long COVID risk months later.

Bat ASC2 suppresses inflammasomes and ameliorates inflammatory diseases.

Bats are special in their ability to live long and host many emerging viruses. Our previous studies showed that bats have altered inflammasomes, which are central players in aging and infection. However, the role of inflammasome signaling in combating inflammatory diseases remains poorly understood. Here, we report bat ASC2 as a potent negative regulator of inflammasomes. Bat ASC2 is highly expressed at both the mRNA and protein levels and is highly potent in inhibiting human and mouse inflammasomes. Transgenic expression of bat ASC2 in mice reduced the severity of peritonitis induced by gout crystals and ASC particles. Bat ASC2 also dampened inflammation induced by multiple viruses and reduced mortality of influenza A virus infection. Importantly, it also suppressed SARS-CoV-2-immune-complex-induced inflammasome activation. Four key residues were identified for the gain of function of bat ASC2. Our results demonstrate that bat ASC2 is an important negative regulator of inflammasomes with therapeutic potential in inflammatory diseases.

Infectious disease Roundup 2022

This paper describes the epidemiology, prevalence, transmission, prevention and control of some infectious diseases in companion animals, livestock, wild animals and humans in Ontario, Canada, in 2022, including SARS-CoV-2;Echinococcus multilocularis, Leishmania spp. and SARS-CoV-2;antimicrobial stewardship resources;2 cases of rabid dogs imported from Iran (July 2021 and January 2022);prevalence of extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriacea, Dirofilaria immitis, Brucella canis, canine parainfluenza and adeno- and herpes viruses in dogs recently imported from Asia;Paragonimus kellicotti lung flukes and Streptococcus equi subsp. zooepidemicus in dogs;African swine fever in pet pigs, backyard pigs and wild pigs and blastomycosis in dogs and humans.

Collided with COVID-19 Pandemic, the 2020 Yangtze Flood Is Exceptionally Severe

During June to July, 2020, persistent heavy precipitation in the Yangtze River Basin (YRB) is resulting in extensive flooding, with over 158 fatalities and tremendous economic losses. This year's disastrous flooding extreme is exceptionally different from those of other years. It contains over 1000-year return period events (for 30-day cumulative precipitation) as observed in Anhui, Guizhou and Sichuan Provinces. The mean precipitation is 308 mm in July 2020, being 54 mm higher than that of July 1998, when serious floods affected the entire Basin causing tremendous socio-economic consequences. Compared with 1998, the short-term (e.g., 1 day) precipitation in YRB did not show significant increases, while the long-term (e.g., 30 days) cumulative precipitation increases significantly. The highest observed 30-day cumulative precipitation is 1221 mm (in Anhui Province) in 2020, while the highest one in 1998 was 1028 mm (in Jiangxi Province). We thus find that this persistent heavy precipitation is the main cause of flooding in 2020. At the same time, TGR may mitigate up 43% of upstream flood, although the main contributors to this year's YRB flood are in the middle and lower reaches. Affected by COVID-19, the number of people at risk in the threatened area are increased, and their capacities to mitigate the dual impacts of COVID-19 pandemic and flooding are hindered since (a) the flooding-caused mitigations may limit people's ability to prevent from virus spreading, and (b) the pandemic is retaining a large amount of migrant workers being within YRB and subject to flooding impacts. Overall, our main discovery is that, although the short-term precipitation in YRB did not increase significantly in 2020, the cumulative one increased significantly in 2020!. © 2022 ISEIS All rights reserved.

Efficient numerical simulations based on an explicit group approach for the time fractional advection–diffusion reaction equation

The time-fractional advection–diffusion reaction equation (TFADRE) is a fundamental mathematical model because of its key role in describing various processes such as oil reservoir simulations, COVID-19 transmission, mass and energy transport, and global weather production. One of the prominent issues with time fractional differential equations is the design of efficient and stable computational schemes for fast and accurate numerical simulations. We construct in this paper, a simple and yet efficient modified fractional explicit group method (MFEGM) for solving the two-dimensional TFADRE with suitable initial and boundary conditions. The proposed method is established using a difference scheme based on L1 discretization in temporal direction and central difference approximations with double spacing in spatial direction. For comparison purposes, the Crank–Nicolson finite difference method (CNFDM) is proposed. The stability and convergence of the presented methods are theoretically proved and numerically affirmed. We illustrate the computational efficiency of the MFEGM by comparing it to the CNFDM for four numerical examples including fractional diffusion and fractional advection–diffusion models. The numerical results show that the MFEGM is capable of reducing iteration count and CPU timing effectively compared to the CNFDM, making it well-suited to time fractional diffusion equations. © 2023, The Author(s) under exclusive licence to Sociedade Brasileira de Matemática Aplicada e Computacional.

MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports

The fifth ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports'22) is part of the ACM International Conference on Multimedia 2022 (ACM Multimedia 2022). After two years of pure virtual MMSports workshops due to COVID-19, MMSports'22 is held on-site again. The goal of this workshop is to bring together researchers and practitioners from academia and industry to address challenges and report progress in mining, analyzing, understanding, and visualizing multimedia/multimodal data in sports, sports broadcasts, sports games and sports medicine. The combination of sports and modern technology offers a novel and intriguing field of research with promising approaches for visual broadcast augmentation and understanding, for statistical analysis and evaluation, and for sensor fusion during workouts as well as competitions. There is a lack of research communities focusing on the fusion of multiple modalities. We are helping to close this research gap with this workshop series on multimedia content analysis in sports. Related Workshop Proceedings are available in the ACM DL at: https://dl.acm.org/doi/proceedings/10.1145/3552437. © 2022 Owner/Author.