Teleconsulta de enfermagem: desenvolvimento de plataforma para atendimento de casos de Covid-19 / Nursing teleconsultation: development of a platform for Covid-19 case management / Telecosulta en enfermería: desarrollo de una plataforma para el manejo de casos de Covid-19

Objetivo: Desenvolver uma plataforma virtual de Teleconsulta para atendimento a casos suspeitos de Síndromes Gripais e infecção por COVID-19. Metodologia: Trata-se de um estudo de natureza aplicada, com desenvolvimento de produção tecnológica e inovadora, prospectivo, ecológico, descritivo, de série temporal. A população do estudo foi formada por qualquer pessoa sintomática para Síndromes Gripais por COVID-19, suspeitos ou confirmados, de qualquer local do Brasil. Este estudo foi realizado em duas etapas, a saber: Etapa I: Desenvolvimento da Aplicação para Plataforma de Teleconsulta. Etapa II: atendimento por meio de Teleconsulta de Casos suspeitos de COVID-19 e Sindromes Gripais. A metodologia utilizada para o desenvolvimento da aplicação proposta foi a modelagem por prototipação evolucionária. Resultados: Foram realizados 209 atendimentos na Plataforma de Teleconsulta, sendo 151 (70%) do sexo feminino e 65 (30%) do sexo masculino, com prevalência de idade variando de 20 a 29 anos (41%). Quanto ao risco de infecção por COVID-19, 42 (20%) tinham alto risco, 75 (36%) médio risco e 92 (44%) baixo risco. Os sintomas mais prevalentes foram: secreção nasal ou espirros (53%), dores no corpo (49%), dor de cabeça (47%), dor de garganta (46%), tosse seca (35%), Febre (31%), falta de ar (25%) e diarreia (23%). Inicialmente o teleatendimento foi composto por teletriagem com classificação de risco com base na sintomatologia dos pacientes que foram codificados com pontuações conforme a gravidade do sintoma para formas graves de COVID-19. A classificação de risco categorizou os pacientes em risco baixo (1 a 9 pontos), risco médio (10 a 19 pontos) e risco alto (20 a 36 pontos). Em seguida, a teleconsulta foi agendada conforme disponibilidade do paciente por meio do método SBAR para comunicação efetiva e ao término do atendimento um plano de cuidados com Sistematização da Assistência de Enfermagem ­ SAE era encaminhado ao paciente por meio de WhatsApp ou e-mail. Conclusão: A plataforma de teleconsulta possibilitou a triagem dos pacientes, reduziu as visitas desnecessárias às unidades de emergência, permitiu a avaliação e monitoramento dos casos, bem como o acompanhamento de pacientes ambulatoriais que não necessitam de avaliação presencial.

Objective: To develop a virtual Teleconsultation platform for care of suspected cases of influenza syndromes and infection by COVID-19. Methodology: This is a study of applied nature, with development of technological and innovative production, prospective, ecological, descriptive, time series. The study population was made up of any person symptomatic for COVID-19 influenza syndromes, suspected or confirmed, from any location in Brazil. This study was conducted in two stages, namely: Stage I: Development of the Application for Teleconsultation Platform. Stage II: care through Teleconsultation of suspected cases of COVID-19 and influenza syndromes. The methodology used to develop the proposed application was evolutionary prototyping modeling. Results: There were 209 consultations in the Teleconsultation Platform, 151 (70%) were female and 65 (30%) were male, with prevalence of age ranging from 20 to 29 years (41%). As for the risk of infection by COVID-19, 42 (20%) had high risk, 75 (36%) medium risk and 92 (44%) low risk. The most prevalent symptoms were: nasal discharge or sneezing (53%), body aches (49%), headache (47%), sore throat (46%), dry cough (35%), fever (31%), shortness of breath (25%), and diarrhea (23%). Initially, the telecare was composed of teletry with risk classification based on the symptomatology of the patients who were coded with scores according to symptom severity for severe forms of COVID-19. The risk classification categorized patients into low risk (1 to 9 points), medium risk (10 to 19 points), and high risk (20 to 36 points). Then, the teleconsultation was scheduled according to the patient's availability through the SBAR method for effective communication and at the end of the service a care plan with Nursing Assistance Systematization - SAE was forwarded to the patient through WhatsApp or e-mail. Conclusion: Teleconsultation platform enabled patient triage, reduced unnecessary visits to emergency units, allowed the evaluation and monitoring of cases, as well as the follow- up of outpatients who do not need face-to-face evaluation.

Objetivo: Desarrollar una plataforma de Teleconsulta virtual para atender casos sospechosos de síndromes gripales e infección por COVID-19. Metodología: Se trata de un estudio aplicado, con desarrollo de producción tecnológica e innovadora, prospectivo, ecológico, descriptivo, con serie de tiempo. La población de estudio estuvo formada por cualquier persona sintomática de síndromes gripales por COVID-19, sospechada o confirmada, de cualquier localidad de Brasil. Este estudio se realizó en dos etapas, a saber: Etapa I: Desarrollo de Aplicaciones para la Plataforma de Teleconsulta. Etapa II: atención mediante teleconsulta de casos sospechosos de COVID-19 y síndromes gripales. La metodología utilizada para el desarrollo de la aplicación propuesta fue el modelado por prototipo evolutivo. Resultados: Se realizaron 209 consultas en la Plataforma de Teleconsulta, 151 (70%) del sexo femenino y 65 (30%) del masculino, con prevalencia de edades entre 20 a 29 años (41%). En cuanto al riesgo de infección por COVID-19, 42 (20%) fueron de alto riesgo, 75 (36%) de riesgo medio y 92 (44%) de bajo riesgo. Los síntomas más prevalentes fueron: secreción nasal o estornudos (53%), dolor de cuerpo (49%), dolor de cabeza (47%), dolor de garganta (46%), tos seca (35%), fiebre (31%), falta de aliento (25%) y diarrea (23%). Inicialmente, la teleasistencia consistía en teleselección con clasificación de riesgo en función de la sintomatología de los pacientes a los que se codificaba con puntuaciones según la gravedad del síntoma para formas graves de COVID-19. La clasificación de riesgo clasificó a los pacientes en riesgo bajo (1 a 9 puntos), riesgo medio (10 a 19 puntos) y riesgo alto (20 a 36 puntos). Luego, se programó la teleconsulta de acuerdo a la disponibilidad del paciente a través del método SBAR para una comunicación efectiva y al final de la atención se remitió al paciente un plan de cuidados con Sistematización de Atención de Enfermería - SAE vía WhatsApp o correo electrónico. Conclusión: La plataforma de teleconsulta posibilitó el triaje de pacientes, redujo las visitas innecesarias a las unidades de emergencia, permitió la evaluación y seguimiento de casos, así como el seguimiento de pacientes ambulatorios que no requieren evaluación presencial.

Clinical Outcomes of Hospitalized Patients with SARS-CoV-2 Omicron Variant vs. Influenza A During Influenza Season 2021 to 2022: A Retrospective Observational Study.

BACKGROUND: Influenza and coronavirus disease 2019 (COVID-19) are respiratory diseases with similar modes of transmission. In December 2021, influenza re-emerged after it had been undetected since March 2020 and the Omicron variant replaced the Delta variant. Data directly comparing the two diseases are scarce. OBJECTIVES: To compare the outcomes of patients with both the Omicron variant and influenza during 2021-2022. METHODS: We performed a retrospective study conducted in Beilinson hospital, Israel, from December 2021 to January 2022. We included all hospitalized patients with either laboratory-confirmed COVID-19 or influenza. The primary outcome was 30-day mortality. RESULTS: We identified 167 patients diagnosed with Omicron and 221 diagnosed with Influenza A. The median age was 71 years for Omicron and 65 years for influenza. Patients with Omicron had a significantly higher Charlson Comorbidity Index score (4 vs. 3, P < 0.001). Patients with Omicron developed more respiratory failure that needed mechanical ventilation (7% vs. 2%, P = 0.05) and vasopressors (14% vs. 2%, P < 0.001) than patients with influenza. In a multivariate model, 30-day mortality was lower in patients diagnosed with influenza than in patients diagnosed with Omicron (19/221 [9%] vs. 44/167 [26%], hazard ratio 0.45, 95% confidence interval 0.25-0.81). CONCLUSIONS: Patients diagnosed with Omicron had higher mortality than patients diagnosed with seasonal influenza. This finding could be due to differences in co-morbidities, the virus pathogenicity, and host responses to infection.

A fully integrated duplex RT-LAMP device for the detection of viral infections.

Respiratory viruses can cause epidemics or pandemics, which are worldwide outbreaks of disease. The severity of these events varies depending on the virus, its characteristics, along with environmental factors. The frequency of epidemics and pandemics caused by respiratory viruses is difficult to predict, but the potential severity of such events underlines the importance of continued monitoring, research, and preparation for emerging infectious diseases. To help improve pandemic preparedness, we created a fully integrated duplex reverse transcription loop-mediated isothermal amplification (RT-LAMP) device targeting two respiratory viruses, influenza A/X-31 virus and bovine coronavirus, as a replacement for SARS-CoV-2. This device can be adapted to any other respiratory virus. In this study, we showed and evaluated a prototype of a microfluidic system, and showed that duplex RT-LAMP can detect and distinguish between the two viruses, with LoDs of 2,000 copies/ml for bovine coronavirus and 200 copies/ml for influenza A/X-31 virus.

Biological Sex and Pregnancy Affect Influenza Pathogenesis and Vaccination.

Males and females differ in the outcome of influenza A virus (IAV) infections, which depends significantly on age. During seasonal influenza epidemics, young children (< 5 years of age) and aged adults (65+ years of age) are at greatest risk for severe disease, and among these age groups, males tend to suffer a worse outcome from IAV infection than females. Following infection with pandemic strains of IAVs, females of reproductive ages (i.e., 15-49 years of age) experience a worse outcome than their male counterparts. Although females of reproductive ages experience worse outcomes from IAV infection, females typically have greater immune responses to influenza vaccination as compared with males. Among females of reproductive ages, pregnancy is one factor linked to an increased risk of severe outcome of influenza. Small animal models of influenza virus infection and vaccination illustrate that immune responses and repair of damaged tissue following IAV infection also differ between the sexes and impact the outcome of infection. There is growing evidence that sex steroid hormones, including estrogens, progesterone, and testosterone, directly impact immune responses during IAV infection and vaccination. Greater consideration of the combined effects of sex and age as biological variables in epidemiological, clinical, and animal studies of influenza pathogenesis is needed.

Influenza vaccine uptake in Tunisia from two high-risk groups' perception and attitudes: a qualitative study.

Background: Pregnant women (PW) and older adult with chronic diseases (ECD) are priority groups for the influenza vaccination. This study was designed to have a better insight into the influenza perceptions and barriers of the vaccine uptake from these groups' perspectives. Methods: This qualitative study consisted of 20 focus group discussions (FGDs) enrolled from five governorates across the country (north, center, and south) between March 18 and July 10, 2019, in urban and rural areas. FGDs were conducted in Arabic (Tunisian dialect) and following the topic guide. Data were transcribed in the local language then translated into English and analyzed using Nvivo12 Software. This permitted the analysis thematic approach, using codes determined by the focus groups. Results: A total of 170 individuals participated in the FGDs (84 ECD and 86 PW). Both groups recognized the weakness of the immune system as key determinant for severity. While PW raised the lack of information about the vaccine, the ECD emphasized accessibility problems. Five main barriers to influenza vaccination were identified: cultural barriers and use of traditional medicine, misleading or lack of information about influenza and the vaccine, advice against its uptake, problems of availability and accessibility of the vaccine as well as mistrust towards the vaccine including adverse effects, vaccine composition and effectiveness. Conclusion: The study provided refined information from the perspectives of users to orient the policies regarding the promotion of influenza vaccine by decision makers among these two high risk groups.

Protocol for establishing a model for integrated influenza surveillance in Tamil Nadu, India.

The potential for influenza viruses to cause public health emergencies is great. The World Health Organisation (WHO) in 2005 concluded that the world was unprepared to respond to an influenza pandemic. Available surveillance guidelines for pandemic influenza lack the specificity that would enable many countries to establish operational surveillance plans. A well-designed epidemiological and virological surveillance is required to strengthen a country's capacity for seasonal, novel, and pandemic influenza detection and prevention. Here, we describe the protocol to establish a novel mechanism for influenza and SARS-CoV-2 surveillance in the four identified districts of Tamil Nadu, India. This project will be carried out as an implementation research. Each district will identify one medical college and two primary health centres (PHCs) as sentinel sites for collecting severe acute respiratory infections (SARI) and influenza like illness (ILI) related information, respectively. For virological testing, 15 ILI and 10 SARI cases will be sampled and tested for influenza A, influenza B, and SARS-CoV-2 every week. Situation analysis using the WHO situation analysis tool will be done to identify the gaps and needs in the existing surveillance systems. Training for staff involved in disease surveillance will be given periodically. To enhance the reporting of ILI/SARI for sentinel surveillance, trained project staff will collect information from all ILI/SARI patients attending the sentinel sites using pre-tested tools. Using time, place, and person analysis, alerts for abnormal increases in cases will be generated and communicated to health authorities to initiate response activities. Advanced epidemiological analysis will be used to model influenza trends over time. Integrating virological and epidemiological surveillance data with advanced analysis and timely communication can enhance local preparedness for public health emergencies. Good quality surveillance data will facilitate an understanding outbreak severity and disease seasonality. Real-time data will help provide early warning signals for prevention and control of influenza and COVID-19 outbreaks. The implementation strategies found to be effective in this project can be scaled up to other parts of the country for replication and integration.

Mapping antibody footprints using binding profiles.

The increasing use of monoclonal antibodies (mAbs) in biology and medicine necessitates efficient methods for characterizing their binding epitopes. Here, we developed a high-throughput antibody footprinting method based on binding profiles. We used an antigen microarray to profile 23 human anti-influenza hemagglutinin (HA) mAbs using HA proteins of 43 human influenza strains isolated between 1918 and 2018. We showed that the mAb's binding profile can be used to characterize its influenza subtype specificity, binding region, and binding site. We present mAb-Patch-an epitope prediction method that is based on a mAb's binding profile and the 3D structure of its antigen. mAb-Patch was evaluated using four mAbs with known solved mAb-HA structures. mAb-Patch identifies over 67% of the true epitope when considering only 50-60 positions along the antigen. Our work provides proof of concept for utilizing antibody binding profiles to screen large panels of mAbs and to down-select antibodies for further functional studies.

The role of vaccination in COPD: influenza, SARS-CoV-2, pneumococcus, pertussis, RSV and varicella zoster virus.

Exacerbations of COPD are associated with worsening of the airflow obstruction, hospitalisation, reduced quality of life, disease progression and death. At least 70% of COPD exacerbations are infectious in origin, with respiratory viruses identified in approximately 30% of cases. Despite long-standing recommendations to vaccinate patients with COPD, vaccination rates remain suboptimal in this population.Streptococcus pneumoniae is one of the leading morbidity and mortality causes of lower respiratory tract infections. The Food and Drug Administration recently approved pneumococcal conjugate vaccines that showed strong immunogenicity against all 20 included serotypes. Influenza is the second most common virus linked to severe acute exacerbations of COPD. The variable vaccine efficacy across virus subtypes and the impaired immune response are significant drawbacks in the influenza vaccination strategy. High-dose and adjuvant vaccines are new approaches to tackle these problems. Respiratory syncytial virus is another virus known to cause acute exacerbations of COPD. The vaccine candidate RSVPreF3 is the first authorised for the prevention of RSV in adults ≥60 years and might help to reduce acute exacerbations of COPD. The 2023 Global Initiative for Chronic Lung Disease report recommends zoster vaccination to protect against shingles for people with COPD over 50 years.

Temporal Association Among Influenza-Like Illness, Cardiovascular Events, and Vaccine Dose in Patients With High-Risk Cardiovascular Disease: Secondary Analysis of a Randomized Clinical Trial.

Importance: Influenza-like illness (ILI) activity has been associated with increased risk of cardiopulmonary (CP) events during the influenza season. High-dose trivalent influenza vaccine was not superior to standard-dose quadrivalent vaccine for reducing these events in patients with high-risk cardiovascular (CV) disease in the Influenza Vaccine to Effectively Stop Cardio Thoracic Events and Decompensated Heart Failure (INVESTED) trial. Objective: To evaluate whether high-dose trivalent influenza vaccination is associated with benefit over standard-dose quadrivalent vaccination in reducing CP events during periods of high, local influenza activity. Design, Setting, and Participants: This study was a prespecified secondary analysis of INVESTED, a multicenter, double-blind, active comparator randomized clinical trial conducted over 3 consecutive influenza seasons from September 2016 to July 2019. Follow-up was completed in July 2019, and data were analyzed from September 21, 2016, to July 31, 2019. Weekly Centers for Disease Control and Prevention (CDC)-reported, state-level ILI activity was ascertained to assess the weekly odds of the primary outcome. The study population included 3094 patients with high-risk CV disease from participating centers in the US. Intervention: Participants were randomized to high-dose trivalent or standard-dose quadrivalent influenza vaccine and revaccinated for up to 3 seasons. Main Outcomes and Measures: The primary outcome was the time to composite of all-cause death or CP hospitalization within each season. Additional measures included weekly CDC-reported ILI activity data by state. Results: Among 3094 participants (mean [SD] age, 65 [12] years; 2309 male [75%]), we analyzed 129 285 person-weeks of enrollment, including 1396 composite primary outcome events (1278 CP hospitalization, 118 deaths). A 1% ILI increase in the prior week was associated with an increased risk in the primary outcome (odds ratio [OR], 1.14; 95% CI, 1.07-1.21; P < .001), CP hospitalization (OR, 1.13; 95% CI, 1.06-1.21; P < .001), and CV hospitalization (OR, 1.12; 95% CI, 1.04-1.19; P = .001), after adjusting for state, demographic characteristics, enrollment strata, and CV risk factors. Increased ILI activity was not associated with all-cause death (OR, 1.00; 95% CI, 0.88-1.13; P > .99). High-dose compared with standard-dose vaccine did not significantly reduce the primary outcome, even when the analysis was restricted to weeks of high ILI activity (OR, 0.88; 95% CI, 0.65-1.20; P = .43). Traditionally warmer months in the US were associated with lower CV risk independent of local ILI activity. Conclusions and Relevance: In this secondary analysis of a randomized clinical trial, ILI activity was temporally associated with increased CP events in patients with high-risk CV disease, and a higher influenza vaccine dose did not significantly reduce temporal CV risk. Other seasonal factors may play a role in the coincident high rates of ILI and CV events. Trial Registration: ClinicalTrials.gov Identifier: NCT02787044.

Vaccine-induced neutralizing antibody responses to seasonal influenza virus H1N1 strains are not enhanced during subsequent pandemic H1N1 infection.

The first exposure to influenza is presumed to shape the B-cell antibody repertoire, leading to preferential enhancement of the initially formed responses during subsequent exposure to viral variants. Here, we investigated whether this principle remains applicable when there are large genetic and antigenic differences between primary and secondary influenza virus antigens. Because humans usually have a complex history of influenza virus exposure, we conducted this investigation in influenza-naive cynomolgus macaques. Two groups of six macaques were immunized four times with influenza virus-like particles (VLPs) displaying either one (monovalent) or five (pentavalent) different hemagglutinin (HA) antigens derived from seasonal H1N1 (H1N1) strains. Four weeks after the final immunization, animals were challenged with pandemic H1N1 (H1N1pdm09). Although immunization resulted in robust virus-neutralizing responses to all VLP-based vaccine strains, there were no cross-neutralization responses to H1N1pdm09, and all animals became infected. No reductions in viral load in the nose or throat were detected in either vaccine group. After infection, strong virus-neutralizing responses to H1N1pdm09 were induced. However, there were no increases in virus-neutralizing titers against four of the five H1N1 vaccine strains; and only a mild increase was observed in virus-neutralizing titer against the influenza A/Texas/36/91 vaccine strain. After H1N1pdm09 infection, both vaccine groups showed higher virus-neutralizing titers against two H1N1 strains of intermediate antigenic distance between the H1N1 vaccine strains and H1N1pdm09, compared with the naive control group. Furthermore, both vaccine groups had higher HA-stem antibodies early after infection than the control group. In conclusion, immunization with VLPs displaying HA from antigenically distinct H1N1 variants increased the breadth of the immune response during subsequent H1N1pdm09 challenge, although this phenomenon was limited to intermediate antigenic variants.

Influenza viruses circulation in a tertiary care children hospital in Rome: a comparison between 2022 and the previous 5 years.

BACKGROUND: Influenza surveillance aims to determine onset, duration and intensity of the seasonal Influence-like Illness (ILI); data collection begins in the week 42 of a year and ends in the week 17 of the following year. In this observational study, we report the experience of a tertiary care children hospital in Rome about Influenza viruses circulation during the calendar year 2022 (January-December) in comparison with the previous five years (2017-2021), with a special focus on the weeks 18-41, usually not under surveillance. METHODS: This retrospective study involved 36782 respiratory samples referred to 21354 patients (pts), median age 2.63 years, admitted with respiratory symptoms at Bambino Gesù Children's Hospital in the years 2017-2022. Respiratory viruses were detected by molecular Allplex™ Respiratory Panel Assays (Seegene, Korea). RESULTS: Regarding the pre pandemic years, 2017-2019, distribution of Flu positive patients focused in the first weeks of the year (weeks 1-17). During the pandemic period, Flu was not detected. In 2022, 239 Flu viruses were identified: 37 FluA (weeks 1-17), 29 FluA (weeks 18-41) and 168 FluA and 5 FluB (weeks 42-52). For the year 2022, during the non-epidemic period, the number of Flu viruses detected corresponded to 12.1% of total Flu detected, respect to 0-1.7% for the previous five years (p < 0.001). CONCLUSIONS: When compared with pre SARS-CoV-2 pandemic years, our data show a significant increase in Influenza cases during weeks 18-41/2022 and reveal an unexpected summer circulation of these viruses: just weeks 26-30 showed to be influenza virus free. A national year-round Flu surveillance could be useful to understand if changing in influenza epidemiology is transitional or likely to persist in the following years.

Recommendations to Improve the Influenza Immunization Rates of Respiratory Healthcare Professionals: A Survey Conducted in Puerto Rico.

OBJECTIVE: Influenza affects 5-15% of the worldwide population and is responsible for 4-5 million cases and 250,000-500,000 deaths. Despite established recommendations, vaccination rates continue to be low. Our study aimed to identify barriers to influenza immunization and attitudes toward the vaccine among respiratory health care (HC) professionals in Puerto Rico. METHODS: We conducted an anonymous written survey that was handed out to 130 HC professionals, including physicians, nurses and respiratory therapists, who attended the Annual Respiratory Disease Congress held in San Juan, Puerto Rico, on August 2018. RESULTS: A total of 68 health care professionals participated in the study. Nearly 34% of participants reported never receiving influenza immunization themselves, 13% reported intermittent immunization, and 53% received immunizations yearly. Approximately 82% and 87% of the participants believed the influenza vaccine to be safe and effective, respectively. Sixty- five percent of respiratory therapists considered the vaccine effective, as compared to 94% of physicians and 100% of nurses and other HC professionals (p=0.023). Most of the participants (87%) recommended influenza immunization, although 38% of participants indicated being concerned about potential side effects of the vaccine. Knowledge of current clinical indications for influenza immunization for medical conditions varied from 59% for patients on systemic steroids to 94% for patients with diabetes mellitus. CONCLUSION: This survey among respiratory HC professionals in Puerto Rico demonstrated barriers in knowledge about vaccination, its indications, and its safety. Addressing these barriers provides us with opportunities to improve influenza immunizations rates among HC workers and their patients.

Protocol of the process evaluation of cluster randomised control trial for estimating the effectiveness and cost-effectiveness of a complex intervention to increase care home staff influenza vaccination rates compared to usual practice (FluCare).

BACKGROUND: Influenza (flu) vaccination rates in UK care home staff are extremely low. Less than 40% of staff in care homes are vaccinated for influenza (flu), presenting risks to the health of frail residents and potential staff absence from cross-infection. Staff often do not perceive a need for vaccination and are unaware they are entitled to free flu vaccination. The FluCare study, a cluster randomised control trial (RCT), uses behavioural interventions to address barriers. Videos, posters, and leaflets are intended to raise awareness of flu vaccination benefits and debunk myths. On-site staff vaccination clinics increase accessibility. Financial incentives to care homes for improved vaccination rates and regular monitoring influence the environment. This paper outlines the planned process evaluation which will describe the intervention's mechanisms of action, explain any changes in outcomes, identify local adaptations, and inform design of the implementation phase. METHODS/DESIGN: A mixed method process evaluation to inform the interpretation of trial findings. OBJECTIVES: • Describe the intervention as delivered in terms of dose and fidelity, including adaptations and variations across care homes. • Explore the effects of individual intervention components on primary outcomes. • Investigate the mechanisms of impact. • Describe the perceived effectiveness of relevant intervention components (including videos, leaflets, posters, and flu clinics) from participant perspectives (care home manager, care home staff, flu clinic providers). • Describe the characteristics of care homes and participants to assess reach. A purposive sample of twenty care homes (ten in the intervention arm, ten in the control arm) for inclusion in the process evaluation. Data will include (1) study records including care home site profiles, (2) responses to a mechanism of action questionnaire, and (3) semi-structured interviews with care home staff and clinic providers. Quantitative data will be descriptively reported. Interview data will be thematically analysed and then categories mapped to the Theoretical Domains Framework. DISCUSSION: Adopting this systematic and comprehensive process evaluation approach will help ensure data is captured on all aspects of the trial, enabling a full understanding of the intervention implementation and RCT findings. TRIAL REGISTRATION: ISRCTN ISRCTN22729870. Registered on 24 August 2022.

Efficient symptomatic treatment and viral load reduction for children with influenza virus infection by nasal-spraying Bacillus spore probiotics.

Influenza virus is a main cause of acute respiratory tract infections (ARTIs) in children. This is the first double-blind, randomized, and controlled clinical trial examining the efficacy of nasal-spraying probiotic LiveSpo Navax, which contains 5 billion of Bacillus subtilis and B. clausii spores in 5 mL, in supporting treatment of influenza viral infection in pediatric patients. We found that the nasal-spraying Bacillus spores significantly shortened the recovery period and overall treatment by 2 days and increased treatment effectiveness by 58% in resolving all ARTIs' symptoms. At day 2, the concentrations of influenza virus and co-infected bacteria were reduced by 417 and 1152 folds. Additionally, the levels of pro-inflammatory cytokines IL-8, TNF-α, and IL-6 in nasopharyngeal samples were reduced by 1.1, 3.7, and 53.9 folds, respectively. Compared to the standard control group, treatment regimen with LiveSpo Navax demonstrated significantly greater effectiveness, resulting in 26-fold reduction in viral load, 65-fold reduction in bacterial concentration, and 1.1-9.5-fold decrease in cytokine levels. Overall, nasal-spraying Bacillus spores can support the symptomatic treatment of influenza virus-induced ARTIs quickly, efficiently and could be used as a cost-effective supportive treatment for respiratory viral infection in general.Clinical trial registration no: NCT05378022 on 17/05/2022.

Chatbot-Delivered Online Intervention to Promote Seasonal Influenza Vaccination During the COVID-19 Pandemic: A Randomized Clinical Trial.

Importance: Receiving seasonal influenza vaccination (SIV) is important for adults during the COVID-19 pandemic. There are few robust evaluations of tailored interventions for improving SIV uptake among adults 65 years or older. Objective: To evaluate the relative efficacy of a stages of change (SOC)-tailored online intervention compared with a standard, non-SOC-tailored online intervention in increasing SIV uptake among Hong Kong residents 65 years or older. Design, Setting, and Participants: This nonblinded parallel-group randomized clinical trial was conducted between December 1, 2021, and July 31, 2022, in Hong Kong, China. Eligible participants were 65 years or older, had Cantonese- and/or Mandarin-speaking skills, were community-dwelling, had Hong Kong residency, were smartphone users, and had not received SIV for the 2021 to 2022 influenza season. Participants were recruited through random telephone calls, and those who completed the baseline telephone survey were randomized to either the intervention or control group. Both complete case and intention-to-treat (ITT) analyses were performed. Intervention: In the intervention group, a simplified rule-based chatbot first assessed participants' SOC related to SIV uptake and then automatically selected and sent participants SOC-tailored online health promotion messages (videos) through a messaging application (WhatsApp; Meta) once every 2 weeks for 4 sessions. In the control group, the chatbot sent a link to access through the messaging application a standard online health promotion message (video) covering general SIV information every 2 weeks for 4 sessions. Main Outcomes and Measures: The primary outcome was self-reported SIV uptake at month 6, which was validated by the research team. The secondary outcome was SOC measured at both baseline and month 6 by validated questions. Results: A total of 396 participants (mean [SD] age of 70.2 [4.3] years; 249 females [62.9%]) were randomized to the intervention (n = 198) or control (n = 198) group. The ITT analysis showed that the validated SIV uptake rate was higher in the intervention group than the control group at month 6 (50.5% vs 35.3%; P = .002). The mean (SD) SOC score was higher in the intervention group than the control group (2.8 [1.4] vs 2.4 [1.4]; P = .02). More participants in the intervention group completed at least 1 episode of intervention than in the control group (77.3% vs 62.6%; P < .001). Conclusions: Results of this trial indicate that the SOC-tailored online intervention was more effective than the non-SOC-tailored intervention and may be a sustainable new method in increasing SIV uptake among adults 65 years or older. Trial Registration: ClinicalTrials.gov Identifier: NCT05155241.

A cross-sectional study from Qatar on the effect of influenza vaccination on the severity of COVID-19.

To assess and compare the severity of corona virus disease 2019 (COVID-19) infection in patients with and without a history of influenza vaccination. In this cross-sectional study descriptive statistics were used to analyze COVID-19-related parameters, including demographics, comorbidities, and severity. Normally distributed data with mean, standard deviation, and 95% confidence interval (CI) were reported, while non-normally distributed data was presented with median and inter-quartile range. Categorical data was summarized using frequencies and percentages. Associations were assessed using Pearson Chi-square, Fisher Exact, t test, or Mann-Whitney U test. Univariate and multivariate logistic regression methods were used to evaluate the relationship between disease severity, clinical outcomes, influenza vaccination status, and other predictors. Significance was considered for p values < 0.05. Statistical analyses were done using SPSS V.27.0 (IBM Corp) and Epi Info (CDC) software. Between March 2020 and December 2020 before the availability of COVID-19 vaccination, 148,215 severe acute respiratory syndrome corona virus 2 positive patients were studied, with 3519 vaccinated against influenza, and 144,696 unvaccinated. After random sampling at 1:2 ratio, the final analysis included 3234 vaccinated and 5640 unvaccinated patients. The majority (95.4%) had mild or asymptomatic COVID-19, while 4.6% had severe or critical cases as defined by World Health Organization severity grading. Multivariate logistic regression analysis revealed that the vaccinated group had significantly less severe (adjusted odds ratio [OR] 0.683; 95% CI 0.513-0.911, P = .009) and critical (adjusted OR 0.345; 95% CI 0.145-0.822, P = .016) COVID-19 and were less likely to require oxygen therapy (adjusted OR 0.696; 95% CI 0.531-0.912, P = .009) after adjusting for confounders like age, gender and comorbidities. No significant differences in Intensive care unit admissions (adjusted OR 0.686; 95% CI 0.425-1.11, P = .122), mechanical ventilation (adjusted OR 0.631; 95% CI 0.308-1.295, P = .209) and mortality (adjusted OR 1.105; 95% CI 0.348-3.503, P = .866) were noted between the 2 groups. Influenza vaccination may significantly reduce the severity of COVID-19 but has no significant effect on intensive care unit admissions, mechanical ventilation and all- cause mortality.

Repurposing a SARS-CoV-2 surveillance program for infectious respiratory diseases in a university setting.

Standard multiplex RT-qPCR diagnostic tests use nasopharyngeal swabs to simultaneously detect a variety of infections, but commercially available kits can be expensive and have limited throughput. Previously, we clinically validated a saliva-based RT-qPCR diagnostic test for SARS-CoV-2 to provide low-cost testing with high throughput and low turnaround time on a university campus. Here, we developed a respiratory diagnostic panel to detect SARS-CoV-2, influenza A and B within a single saliva sample. When compared to clinical results, our assay demonstrated 93.5% accuracy for influenza A samples (43/46 concordant results) with no effect on SARS-CoV-2 accuracy or limit of detection. In addition, our assay can detect simulated coinfections at varying virus concentrations generated from synthetic RNA controls. We also confirmed the stability of influenza A in saliva at room temperature for up to 5 days. The cost of the assay is lower than standard nasopharyngeal swab respiratory panel tests as saliva collection does not require specialized swabs or trained clinical personnel. By repurposing the lab infrastructure developed for the COVID-19 pandemic, our multiplex assay can be used to provide expanded access to respiratory disease diagnostics, especially for community, school, or university testing applications where saliva testing was effectively utilized during the COVID-19 pandemic.

Monitoring the Relationship between Social Network Status and Influenza Based on Social Media Data.

BACKGROUND: This article aims to analyze the relationship between user characteristics on social networks and influenza. METHODS: Three specific research questions are investigated: (1) we classify Weibo updates to recognize influenza-related information based on machine learning algorithms and propose a quantitative model for influenza susceptibility in social networks; (2) we adopt in-degree indicator from complex networks theory as social media status to verify its coefficient correlation with influenza susceptibility; (3) we also apply the LDA topic model to explore users' physical condition from Weibo to further calculate its coefficient correlation with influenza susceptibility. From the perspective of social networking status, we analyze and extract influenza-related information from social media, with many advantages including efficiency, low cost, and real time. RESULTS: We find a moderate negative correlation between the susceptibility of users to influenza and social network status, while there is a significant positive correlation between physical condition and susceptibility to influenza. CONCLUSIONS: Our findings reveal the laws behind the phenomenon of online disease transmission, and providing important evidence for analyzing, predicting, and preventing disease transmission. Also, this study provides theoretical and methodological underpinnings for further exploration and measurement of more factors associated with infection control and public health from social networks.

Coinfection of SARS-CoV-2 and influenza A (H3N2) detected in bronchoalveolar lavage fluid of a patient with long COVID using metagenomic next-generation sequencing: a case report.

The growing number of long COVID cases has drawn clinical attention to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has been spreading worldwide since winter 2019. Its symptoms are not limited to fatigue and shortness of breath but also affect daily life. We report the use of metagenomic next-generation sequencing (mNGS) to detect coinfection with SARS-CoV-2 and influenza A virus in a patient with long COVID. The patient was admitted with fever, expectoration, fatigue, and shortness of breath. The PCR test was negative due to possible clearance of SARS-Cov-2 in the upper respiratory tract of patients with long COVID. Other routine microbiological tests were also negative, making the clinical diagnosis difficult. Bronchoalveolar lavage fluid (BALF) samples were tested using mNGS. The patient was diagnosed and treated promptly, recovered quickly, and continued taking azvudine after discharge; his condition was stable. This study illustrates that mNGS may be valuable for the timely diagnosis of patients with long COVID and their mixed infections.