Spread Of Influenza Virus Research Articles

The spatial–temporal relationship of blue‐winged teal to domestic poultry: Movement state modelling of a highly mobile avian influenza host

Abstract Migratory waterfowl facilitate long‐distance dispersal of zoonotic pathogens and are increasingly recognized as contributing to the geographic spread of avian influenza viruses (AIVs). AIVs are globally distributed and have the potential to produce highly contagious poultry disease, economically impact both large‐scale and backyard poultry producers, and raise the spectre of epidemics and pandemics in human populations. Because migratory waterfowl behaviour varies across multiple spatial and temporal scales, the timing and distribution of wild bird AIV introductions to poultry are also heterogeneous in time and space. To help reduce economic impacts to the poultry industry and enable poultry producers to better anticipate when and where poultry outbreaks may occur, it is critically important to consider the movement ecology of the waterfowl species transporting and transmitting AIVs. We used telemetry for a geographically widespread and common AIV host, blue‐winged teal Spatula discors (BWTE), to model reservoir host movement states with respect to backyard and commercial poultry facilities in the United States. Our modelling framework enabled us to estimate wild bird proximity to poultry facilities while concurrently assessing the influence of poultry facilities on BWTE movement state transition. Our primary objective was to estimate the likelihood of duck and poultry overlap by estimating when and where BWTE were geographically closest to poultry. Synthesis and applications. Migratory waterfowl facilitate dispersal of the avian influenza viruses that cause highly contagious poultry disease. Movement analysis of blue‐winged teal indicates that spatio‐temporal overlap between wild birds and poultry facilities varies by season, the poultry type produced (e.g. turkey, chicken) and if the facility is a commercial or backyard operation. These findings are broadly applicable to disease ecology research and can be applied by poultry producers to improve biosecurity, enhance poultry management and prioritize disease surveillance efforts.

Overview of the Epizootiological Situation on Highly Pathogenic Avian Influenza in Russia in 2020

This review describes the current situation on highly pathogenic avian influenza virus in 2020 and provides forecast of the possible further spread of avian influenza in Russia. In 2020, the circulation of a wide variety of highly pathogenic avian influenza virus subtypes which have epizootiological and epidemiological significance was recorded in the world. Outbreaks of highly pathogenic avian influenza were reported in over 30 countries. Apart from this, human infections with influenza viruses of the A/H5Nx and A/H9N2 subtypes were reported. There was a large-scale epizootic in Russia in 2020, which affected more than 10 regions. Outbreaks among wild birds and poultry were caused by the highly pathogenic influenza virus A/H5N8 of clade 2.3.4.4b. As a result of those outbreaks, more than 1.5 mil. poultry were killed or perished. It was revealed that strains of the influenza virus isolated in Russia have a high degree of identity with the strains circulating in Europe and Southeast Asia. Thus, it was shown again that the territory of Russia plays an important role in the global spread of avian influenza virus.

ATTITUDE TOWARDS INFLUENZA VACCINE AMONG THE GENERAL POPULATION OF LATVIA DURING THE COVID-19 PANDEMIC

Annual influenza epidemics are associated with substantial morbidity and mortality, especially in elderly and in those with underlying diseases. During the global COVID-19 pandemic WHO and CDC have emphasized the importance of reducing risk of influenza virus spread and protecting high risk patient groups from complications caused by the influenza virus. Influenza vaccine may also reduce the burden on healthcare systems while we wait for a COVID-19 vaccine. Although the influenza vaccine has been around for a while, there are still many who question the efficiency, safety and usefulness of it. The article aims to study the attitude of the Latvian adult population towards influenza vaccine during the COVID-19 pandemic. Materials and methods: a quantitative, cross-sectional study based on an anonymous online survey consisting of 12 questions. Data was analysed by using descriptive statistics and Pearson correlation. Results: major part of the respondents do not support influenza vaccine, but almost a half support the vaccination or have changed their attitude towards it during the COVID-19 pandemic. Data shows lack of knowledge about influenza infection, influenza vaccine and vaccine side effects, therefore further educational campaigns should be developed for the general population.

Functional study of a role of N-terminal HA stem region of swine influenza A virus in virus replication

Swine influenza A virus (SIV) is both a pathogen of economic significance to the swine industry and a potential zoonotic organism that may be transmitted to humans. We described here the detailed characterization of a role of N-terminal B-loop and CD helix of HA2 in swine influenza A virus replication. Results of our experiments demonstrated that Hemagglutinin (HA) protein of swine influenza virus could tolerate some mutations in functionally conserved B-loop and CD helix. These mutations, however, have substantially attenuated influenza virus replication in both cell lines and porcine primary tracheal epithelial cells. Significantly, we found that some B-loop or CD helix mutations generated virus mutants that replicated in MDCK and ST cell lines but failed to replicate in primary tracheal epithelial cells, thereby suggesting that swine HA protein may function as a viral virulence and pathogenesis factor. The described mutations may be further explored as attenuated vaccine candidates that can effectively prevent or eliminate the spread of influenza virus within and between swine herds.

Emerging H5N8 avian influenza viruses.

The global spread of H5N8 avian influenza viruses is a public health concern

A cross-neutralizing antibody between HIV-1 and influenza virus.

Incessant antigenic evolution enables the persistence and spread of influenza virus in the human population. As the principal target of the immune response, the hemagglutinin (HA) surface antigen on influenza viruses continuously acquires and replaces N-linked glycosylation sites to shield immunogenic protein epitopes using host-derived glycans. Anti-glycan antibodies, such as 2G12, target the HIV-1 envelope protein (Env), which is even more extensively glycosylated and contains under-processed oligomannose-type clusters on its dense glycan shield. Here, we illustrate that 2G12 can also neutralize human seasonal influenza A H3N2 viruses that have evolved to present similar oligomannose-type clusters on their HAs from around 20 years after the 1968 pandemic. Using structural biology and mass spectrometric approaches, we find that two N-glycosylation sites close to the receptor binding site (RBS) on influenza hemagglutinin represent the oligomannose cluster recognized by 2G12. One of these glycan sites is highly conserved in all human H3N2 strains and the other emerged during virus evolution. These two N-glycosylation sites have also become crucial for fitness of recent H3N2 strains. These findings shed light on the evolution of the glycan shield on influenza virus and suggest 2G12-like antibodies can potentially act as broad neutralizers to target human enveloped viruses.

Spread of Influenza Viruses in Poland and Neighboring Countries in Seasonal Terms.

In Poland, flu supervision is coordinated by the National Influenza Center at the National Institute of Public Health—National Institute of Hygiene. In this publication, we want to determine geographical trends in influenza virus circulation in the region. A detailed analysis of virological and epidemiological data showed the course of the epidemic season in Poland, as well as in neighboring countries. The spatial differentiation of the incidence of infection between voivodships was examined, as well as compared to countries that border a given voivodship. The results show a significant variation in the incidence of infection in terms of time and space. This points to the need to increase the number of tests and to raise awareness among health care professionals and the public about the probability of an influenza pandemic, as undetected viruses can spread further into the European Union.

Surveillance and Sequestration Strategies to Reduce the Likelihood of Transporting Highly Pathogenic Avian Influenza Virus Contaminated Layer Manure.

Movement and land application of manure is a known risk factor for secondary spread of avian influenza viruses. During an outbreak of highly pathogenic avian influenza (HPAI), movement of untreated (i.e., fresh) manure from premises known to be infected is prohibited. However, moving manure from apparently healthy (i.e., clinically normal) flocks may be critical, because some egg-layer facilities have limited on-site storage capacity. The objective of this analysis was to evaluate targeted dead-bird active surveillance real-time reverse transcriptase polymerase chain reaction (rRT-PCR) testing protocols that could be used for the managed movement of manure from apparently healthy egg-layer flocks located in an HPAI control area. We also evaluated sequestration, which is the removal of manure from any contact with chickens, or with manure from other flocks, for a period of time, while the flock of origin is actively monitored for the presence of HPAI virus. We used stochastic simulation models to predict the chances of moving a load of contaminated manure, and the quantity of HPAI virus in an 8 metric ton (8000 kg) load of manure moved, before HPAI infection could be detected in the flock. We show that the likelihood of moving contaminated manure decreases as the length of the sequestration period increases from 3 to 10 days (e.g., for a typical contact rate, with a sample pool size of 11 swabs, the likelihood decreased from 48% to <1%). The total quantity of feces from HPAI-infectious birds in a manure load moved also decreases. Results also indicate that active surveillance protocols using 11 swabs per pool result in a lower likelihood of moving contaminated manure relative to protocols using five swabs per pool. Simulation model results from this study are useful to inform further risk evaluation of HPAI spread through pathways associated with manure movement and further evaluation of biosecurity measures intended to reduce those risks.

Surveillance and sequestration strategies to reduce the likelihood of transporting HPAIV contaminated layer manure.

Movement and land application of manure is a known risk factor for secondary spread of avian influenza (AI) viruses. During an outbreak of highly pathogenic avian influenza (HPAI), movement of untreated (i.e., fresh) manure from premises known to be infected would be prohibited. However, moving manure from apparently healthy (i.e., clinically normal) flocks may become critical, because some egg-layer facilities have limited on-site storage capacity. The objective of this analysis was to evaluate targeted dead-bird active surveillance rRT-PCR (real-time reverse transcriptase polymerase chain reaction) testing protocols that could be used for the managed movement of manure from apparently healthy egg-layer flocks located in a HPAI Control Area. We also evaluated sequestration, which is the removal of manure from any contact with chickens, or with manure from other flocks, for a period of time, while the flock of origin is actively monitored for the presence of HPAI virus. We used stochastic simulation models to predict the chances of moving a load of contaminated manure, and the quantity of HPAI virus in an 8 metric ton (8000 kg) load of manure moved, before HPAI infection would be detected in the flock. We show that the likelihood of moving contaminated manure would decrease as the length of the sequestration period increased from 3 to 10 days (e.g., for a typical contact rate, with a sample pool size of 11 swabs, the likelihood decreased from 48% to <1%). The total quantity of feces from HPAI infectious birds in a manure load moved would also decrease. Results also indicate that active surveillance protocols using 11 swabs per-pool result in a lower likelihood of moving contaminated manure relative to protocols using 5 swabs per pool. Simulation model results from this study are useful to inform further risk evaluation of HPAI spread through pathways associated with the manure movement, and further evaluation of biosecurity measures intended to reduce those risks.

The impact of COVID-19 preventive measures on the spread of influenza viruses and influenza-like illnesses

The impact of COVID-19 preventive measures on the spread of influenza viruses and influenza-like illnesses

Interventions with Positive Side-Effects: Covid-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe

To assess the efficacy of Covid-19 non-pharmaceutical interventions (NPIs) on infectious disease containment in Europe, we first use weekly 2015-20 data on the spread of influenza and respiratory syncytial virus (RSV) to compare the 2019-20 season of these diseases with the previous five. Although the magnitude of results differs between countries, we document much stronger end-of-season declines in infections in the most recent outbreak than in the earlier ones, implying that they may be driven by NPIs implemented in 2020 to combat Covid-19. To test this conjecture, we use detailed country-specific weekly information on Covid-19 NPIs to estimate several panel models that relate NPI implementation to disease incidence across countries. Not only do certain measures significantly reduce the spread of Covid-19, they also curtail the spread of influenza and RSV. Nonetheless, although we identify workplace closures as a particularly effective measure, we find no evidence for the efficacy of other NPIs such as travel restrictions.

Influenza Vaccination and Non-Pharmaceutical Measure Effectiveness for Preventing Influenza Outbreaks in Schools: A Surveillance-Based Evaluation in Beijing.

Although schools are known to play a major role in the spread of influenza virus, few studies have evaluated the effectiveness of vaccination and non-pharmaceutical measures for preventing influenza outbreaks in schools. We investigated all febrile illness outbreaks in primary and secondary schools in Beijing reported between August 2018 and July 2019. We obtained epidemiological information on febrile illness outbreaks and oral pharyngeal swabs from students in the outbreaks to test for influenza virus. We surveyed schools that did not report febrile illness outbreaks. We developed multi-level models to identify and evaluate factors associated with serious influenza outbreaks and explored the association of vaccine coverage and outbreaks using multi-stage regression models. We identified a total of 748 febrile illness outbreaks involving 8176 students in Beijing; 462 outbreaks were caused by influenza virus. Adjusted regression modeling showed that large class size (odds ratio (OR) = 2.38) and the number of days from identification of the first case to initiation of an intervention (OR = 1.17) were statistically significant and positively associated with serious outbreaks, and that high vaccination coverage (relative risk (RR) = 0.50) was statistically significant and negatively associated with outbreaks. Multi-stage regression modeling showed that RR decreased fastest when vaccination coverage was 45% to 51%. We conclude that high influenza vaccination coverage can prevent influenza outbreaks in schools and that rapid identification of febrile children and early initiation of non-pharmaceutical measures can reduce outbreak size.

Identification and Screening of Natural Neuraminidase Inhibitors from Reduning Injection via One-Step High-Performance Liquid Chromatography-Fraction Collector and UHPLC/Q-TOF-MS

Neuraminidase plays an essential role in the spread of influenza viruses via cleaving sialic acids from the host cell receptors and virions. Neuraminidase has been regarded as an essential target for prevention and treatment of influenza infection. The one-step high-performance liquid chromatography-fraction collector (HPLC-FC) was selected to prepare fractions from Reduning (RDN) injection, while ultra-high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UHPLC/Q-TOF-MS) was used to identify fractions depending on their retention time and molecular ion. As a result, 75 fractions were prepared and 28 fractions out of them exhibited NA inhibitory effects with the dose-effect relationship. Exploring it further, six components including neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, isochlorogenic acid B, isochlorogenic acid A, and isochlorogenic acid C were the main components that accounted for almost 80% of inhibitory activity of RDN injection. Accordingly, these results demonstrated that this strategy could not only rapidly identify but also accurately screen active components from traditional Chinese medicine.

A decision support framework for prediction of avian influenza

For years, avian influenza has influenced economies and human health around the world. The emergence and spread of avian influenza virus have been uncertain and sudden. The virus is likely to spread through several pathways such as poultry transportation and wild bird migration. The complicated and global spread of avian influenza calls for surveillance tools for timely and reliable prediction of disease events. These tools can increase situational awareness and lead to faster reaction to events. Here, we aimed to design and evaluate a decision support framework that aids decision makers by answering their questions regarding the future risk of events at various geographical scales. Risk patterns were driven from pre-built components and combined in a knowledge base. Subsequently, questions were answered by direct queries on the knowledge base or through a built-in algorithm. The evaluation of the system in detecting events resulted in average sensitivity and specificity of 69.70% and 85.50%, respectively. The presented framework here can support health care authorities by providing them with an opportunity for early control of emergency situations.

Molecular epidemiology and glycomics of swine influenza viruses circulating in commercial swine farms in the southeastern and midwest United States

Tracking the genetic diversity and spread of swine influenza viruses (SIVs) in commercial swine farms is central for control and to reduce the potential emergence of SIV reassortants. We analyzed the diversity of SIVs in nasal washes or oral fluids from commercial swine farms in North Carolina using influenza M qRT-PCR and hemagglutinin (HA) and neuraminidase (NA) subtyping. We found a predominance of H1 HAs and N2 NAs in the samples examined. The majority of the H1 HAs could be further classified into gamma and delta subclusters. We also identified HAs of the H1 alpha cluster, and those of human novel pandemic origin. Glycan binding profiles from a representative subset of these viruses revealed broad α2,6 sialylated glycan recognition, though some strains exhibited the ability to bind to α2,3 sialic acid. These data show that SIV surveillance can aid our understanding of viral transmission dynamics and help uncover the diversity at the human-swine interface.

Optimal control of an avian influenza model with multiple time delays in state and control variables

In this paper, we consider an optimal control model governed by a class of delay differential equation, which describe the spread of avian influenza virus from the poultry to human. We take three control variables into the optimal control model, namely: slaughtering to the susceptible and infected poultry ( \begin{document}$ u_{1}(t) $\end{document} ), educational campaign to the susceptible human population ( \begin{document}$ u_{2}(t) $\end{document} ) and treatment to infected population ( \begin{document}$ u_{3}(t) $\end{document} ). The model involves two time delays that stand for the incubation periods of avian influenza virus in the infective poultry and human populations. We derive first order necessary conditions for existence of the optimal control and perform several numerical simulations. Numerical results show that different control strategies have different effects on controlling the outbreak of avian influenza. At the same time, we discuss the influence of time delays on objective function and conclude that the spread of avian influenza will slow down as the time delays increase.

COVID-19: What do we know?

• Evidence regarding the provision of orthodontic care during the COVID-19 pandemic is examined.

Evaluation of cobas Influenza A/B & RSV Test for Diagnosis of Equine Influenza

A rapid and sensitive diagnostic method is needed to help prevent the spread of equine influenza virus. The cobas Influenza A/B & RSV test for the cobas Liat system (Roche Diagnostics) is based on real-time reverse transcription polymerase chain reaction and is designed to broadly detect influenza A virus RNA within 20 minutes. It detected a broad range of equine influenza virus strains, and detected equine influenza virus RNA from nasal swabs of infected horses at the same level as real-time reverse transcription polymerase chain reaction, although it returned some invalid results (7.7%). This suggests that cobas Influenza A/B & RSV test is highly sensitive to equine influenza virus, but should be improved to reduce the rate of invalid results.

Transboundary spread of equine influenza viruses (H3N8) in West and Central Africa: Molecular characterization of identified viruses during outbreaks in Niger and Senegal, in 2019.

Since November 2018, several countries in West and Central Africa have reported mortalities in donkeys and horses. Specifically, more than 66,000 horses and donkeys have succumbed to disease in Burkina Faso, Chad, Cameroon, The Gambia, Ghana, Mali, Niger, Nigeria, and Senegal. Strangles caused by Streptococcus equi subsp equi, African Horse Sickness (AHS) virus, and Equine influenza virus (EIV) were all suspected as potential causative agents. This study reports the identification of EIV in field samples collected in Niger and Senegal. Phylogenetic analysis of the hemagglutinin and neuraminidase genes revealed that the identified viruses belonged to clade 1 of the Florida sublineage and were very similar to viruses identified in Nigeria in 2019. Interestingly, they were also more similar to EIVs from recent outbreaks in South America than to those in Europe and the USA. This is one of the first reports providing detailed description and characterization of EIVs in West and Central Africa region.

Factors influencing chicken farmers' decisions to implement prevention and control measures to reduce avian influenza virus spread under endemic conditions.

The ongoing circulation of Highly Pathogenic Avian Influenza (HPAI) H5N1 poses a threat to both poultry and public health. Adapting the constructs of the Health Belief Model (HBM) framework, we investigated perceptions of backyard, commercial broiler and layer chicken farmers to implement HPAI prevention and control measures in Bangladesh. Two cross-sectional studies were conducted in 2016 and 2017 on 144 backyard, 106 broiler and 113 layer chicken farms. Using Structural Equation Modelling, we modelled the direct and indirect effects on farmers' perceptions on taking HPAI prevention and control actions. Our results indicate that farmers of different chicken production systems have different decision-making processes. While perceived barriers to the implementation of prevention and control measures (e.g. wearing protective equipment when handling chickens) prevented both broiler and backyard farmers to adopt interventions, perceived benefits of measures (e.g. maintaining high biosecurity will reduce the risk of birds becoming sick) strongly influenced commercial farmers' decisions, but not backyard farmers' decisions. Information provided on HPAI through media, meetings or via information campaigns played an important role in farmers' decision-making in all production systems. Outcomes of this research can be used to tailor advice on HPAI control and prevention to different poultry farming groups by accounting for specific factors influencing their decision-making, instead of using one-size-fit-all communication approach.