Hitoshi Honda

Lower respiratory tract infections caused by SARS-CoV-2, influenza, and respiratory syncytial virus (RSV) cause a significant disease burden globally, despite the availability of effective vaccines. Certain populations, such as older adults (≥ 60 years) and individuals of all ages with particular comorbidities, are at increased risk for severe outcomes, including hospitalization and death. National administration schedules for available vaccines against respiratory viruses are not unified, and not all current guidelines are clear and directive, concerning the optimal timing of vaccination. Herein, we formulate an evidence-based position regarding the optimal timing of COVID-19, influenza, and RSV vaccination for older adults and individuals with chronic comorbidities, based on a synthesis of the literature and current guidelines. Vaccination impact and timing were found to be influenced by vaccinee risk factors, including age and comorbidities, and waning vaccine effectiveness and seasonal pathogen burden. Because COVID-19, influenza, and RSV display unique seasonal patterns within and between regions, local epidemiological surveillance of each virus is crucial for determining optimal vaccination timing and guidelines. To maximize the benefits of these respiratory virus vaccines, the timing of peak vaccine effectiveness and period of greatest risk for severe outcomes should be aligned. Thus, COVID-19, influenza, and other recommended vaccines given ahead of the start of the respiratory virus season (or other regionally appropriate time) and co-administered at a single, routine visit represent the optimal approach to protecting at-risk populations. More data will be required to establish the clinical benefit of additional RSV vaccine doses and whether these may be integrated within a seasonal schedule. Coordinated policy decisions that align with strain selection for new and annually reformulated vaccines would enable the timely raising of public health awareness, ultimately leading to enhanced vaccine uptake. Implementation strategies will require engagement of healthcare providers and strong, evidence-based public health recommendations for integrated vaccine schedules.

Few longitudinal studies have examined the impact of the COVID-19 pandemic on personal behaviors. This study investigated changes in four social behaviors among the Japanese public during and after the COVID-19 pandemic, using four-wave longitudinal data (2020-2023) from the Japan COVID-19 and Society Internet Survey (JACSIS). In total, 8622 respondents continuously participated in the surveys. In JACSIS 2023, the percentage of individuals who always refrained from specific actions decreased compared with 2020: traveling (71.0%-30.9%), non-essential and non-urgent outings (60.6%-24.5%), crowded spaces (62.6%-28.0%), and eating out (49.5%-21.6%). Mixed-effects logistic regression analysis indicated that essential health care workers displayed more cautious behavior than other workers, and respondents were less likely to refrain from these actions in JACSIS 2023 compared with 2020. Understanding behavioral changes is crucial to evaluating the efficacy of COVID-19 prevention measures and improving future pandemic response strategies.