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Although antiviral drugs and vaccines have reduced the economic and healthcare burdens of influenza, influenza epidemics continue to take a toll. Over the past decade, research on influenza viruses has revealed a potential path to improvement. The clues have come from accumulated discoveries from basic and clinical studies. Now, virus surveillance allows researchers to monitor influenza virus epidemic trends and to accumulate virus sequences in public databases, which leads to better selection of candidate viruses for vaccines and early detection of drug-resistant viruses. Here we provide an overview of current vaccine options and describe efforts directed toward the development of next-generation vaccines. Finally, we propose a plan for the development of an optimal influenza vaccine. The universal flu vaccine remains elusive, but there are several strategies that scientists can take to develop one, including closer monitoring of viral evolution.

In virology, the term seasonality describes variations in virus prevalence at more or less regular intervals throughout the year. Specifically, it has long been recognized that outbreaks of human influenza viruses, respiratory syncytial virus (RSV), and human coronaviruses occur in temperate climates during the winter season, whereas low activity is detected during the summer months. Other human respiratory viruses, such as parainfluenza viruses, human metapneumoviruses, and rhinoviruses, show highest activity during the spring or fall season in temperate regions, depending on the virus and subtype. In tropical climates, influenza viruses circulate throughout the year and no distinct seasonal patterns are observed, although virus outbreaks tend to spike during the rainy season. Overall, seasonality is more pronounced with greater distance from the equator, and tends to be less pronounced in regions closer to the equator (Li et al , 2019). Graphical Abstract Respiratory viruses may follow different patterns of dissemination during pandemics and epidemics. Climate conditions have less effect on pandemic virus spread, which appears to depend more on human behavior. Once pandemic viruses become endemic, they may adopt seasonal patterns that are primarily driven by climate changes throughout the year.

This protocol describes how to process samples potentially containing influenza A virus (IAV), amplify the samples in chicken eggs or mammalian cells and identify whether and which IAV is present. Influenza A viruses (IAVs) cause epidemics and pandemics that result in considerable financial burden and loss of human life. To manage annual IAV epidemics and prepare for future pandemics, an improved understanding of how IAVs emerge, transmit, cause disease and acquire pandemic potential is urgently needed. Fundamental techniques essential for procuring such knowledge are IAV isolation and culture from experimental and surveillance samples. Here we present a detailed protocol for IAV sample collection and processing, amplification in chicken eggs or mammalian cells, and identification from samples containing unknown pathogens. This protocol is robust, and it allows for the generation of virus cultures that can be used for downstream analyses. Once experimental or surveillance samples are obtained, virus cultures can be generated and the presence of IAVs can be verified in 3–5 d via reverse-transcription (RT)-PCR or hemagglutination assay. Increased time frames may be required for less experienced laboratory personnel, or when large numbers of samples will be processed.

One of the most pressing and consequential problems in infectious disease research is to better understand the potential of viruses to cause a pandemic, or, in simple terms, determine which virus will cause the next pandemic. We here define pandemics as WHO-declared pandemics, or disease outbreaks commonly referred to as pandemics that predate the WHO pandemic framework. Despite extensive research in the field of infectious diseases in recent decades, all pandemics have found us unprepared, with enormous losses of human lives, tremendous costs for public health, and vast and potentially long-lasting economic losses. Here, we discuss viruses that may cause a pandemic in the future.

Within the past century, 'Spanish' influenza, which stemmed from a virus of avian origin, killed between 20 million and 50 million people. Because H5N1 mutations that confer transmissibility in mammals may emerge in nature, I believe that it would be irresponsible not to study the underlying mechanisms. [...] I believe that the benefits of these studies - the knowledge that H5 HA-possessing viruses pose a risk and the ability to monitor them and develop countermeasures - outweigh the risks.

The emergence of the highly transmissible B.1.1.529 Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is concerning for antibody countermeasure efficacy because of the number of mutations in the spike protein. In this study, we tested a panel of anti-receptor-binding domain monoclonal antibodies (mAbs) corresponding to those in clinical use by Vir Biotechnology (S309, the parent mAb of VIR-7831 (sotrovimab)), AstraZeneca (COV2-2196 and COV2-2130, the parent mAbs of AZD8895 and AZD1061), Regeneron (REGN10933 and REGN10987), Eli Lilly (LY-CoV555 and LY-CoV016) and Celltrion (CT-P59) for their ability to neutralize an infectious B.1.1.529 Omicron isolate. Several mAbs (LY-CoV555, LY-CoV016, REGN10933, REGN10987 and CT-P59) completely lost neutralizing activity against B.1.1.529 virus in both Vero-TMPRSS2 and Vero-hACE2-TMPRSS2 cells, whereas others were reduced (COV2-2196 and COV2-2130 combination, ~12-fold decrease) or minimally affected (S309). Our results suggest that several, but not all, of the antibodies in clinical use might lose efficacy against the B.1.1.529 Omicron variant. New in vitro data suggest that the new SARS-CoV-2 Omicron variant is likely to escape neutralization by most therapeutic antibodies currently available.

Worldwide outbreaks of influenza (pandemics) are caused by influenza A viruses to which persons lack protective immune responses. Currently, we are unable to predict which influenza virus strains may cause a pandemic. In this article, we summarize some of the information that will be needed to better assess the pandemic potential of influenza viruses, and we discuss our current gaps in knowledge.

Airborne simulation experiments showed that cotton masks, surgical masks, and N95 masks provide some protection from the transmission of infective SARS-CoV-2 droplets/aerosols; however, medical masks (surgical masks and even N95 masks) could not completely block the transmission of virus droplets/aerosols even when sealed. Guidelines from the CDC and the WHO recommend the wearing of face masks to prevent the spread of coronavirus (CoV) disease 2019 (COVID-19); however, the protective efficiency of such masks against airborne transmission of infectious severe acute respiratory syndrome CoV-2 (SARS-CoV-2) droplets/aerosols is unknown. Here, we developed an airborne transmission simulator of infectious SARS-CoV-2-containing droplets/aerosols produced by human respiration and coughs and assessed the transmissibility of the infectious droplets/aerosols and the ability of various types of face masks to block the transmission. We found that cotton masks, surgical masks, and N95 masks all have a protective effect with respect to the transmission of infective droplets/aerosols of SARS-CoV-2 and that the protective efficiency was higher when masks were worn by a virus spreader. Importantly, medical masks (surgical masks and even N95 masks) were not able to completely block the transmission of virus droplets/aerosols even when completely sealed. Our data will help medical workers understand the proper use and performance of masks and determine whether they need additional equipment to protect themselves from infected patients. IMPORTANCE Airborne simulation experiments showed that cotton masks, surgical masks, and N95 masks provide some protection from the transmission of infective SARS-CoV-2 droplets/aerosols; however, medical masks (surgical masks and even N95 masks) could not completely block the transmission of virus droplets/aerosols even when sealed.

A new study demonstrates that the receptor-binding domain of the SARS-CoV-2 spike protein binds to sialylated glycans, especially glycolipids, to facilitate viral entry, an insight that identifies new potential targets for SARS-CoV-2 interventions.

Neither bebtelovimab nor any mAb combinations tested neutralized the SARS-CoV-2 omicron subvariants BQ.1.1 and XBB, but remdesivir, molnupiravir, and nirmatrelvir were efficacious against both in vitro.