The serial interval (SI) of human influenza virus infections is often described by a single distribution. Understanding sources of variation in the SI could provide valuable information for understanding influenza transmission dynamics. Using data from a randomized household study of nonpharmaceutical interventions to prevent influenza transmission in Bangkok, Thailand, over 34 months between 2008 and 2011, we estimated the influence of influenza virus type/subtype and other characteristics of 251 pediatric index cases and their 315 infected household contacts on estimates of household SI. The mean SI for all households was 3.3 days. Relative to influenza A(H1N1)pdm09 (3.1 days), the SI for influenza B (3.7 days) was 22% longer (95% confidence interval: 4, 43), or about half a day. The SIs for influenza viruses A(H1N1) and A(H3N2) were similar to that for A(H1N1)pdm09. SIs were shortest for older index cases (age 11-14 years) and for younger infected household contacts (age ≤15 years). Greater time spent in proximity to the index child was associated with shorter SIs. Differences in the SI might reflect differences in incubation period, viral shedding, contact, or susceptibility. These findings could improve parameterization of mathematical models to better predict the impact of epidemic or pandemic influenza mitigation strategies.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676150 | PMC |
http://dx.doi.org/10.1093/aje/kws402 | DOI Listing |
BMC Public Health
January 2025
International Healthcare Center, Seoul National University Hospital, Seoul, Korea.
Background: This study aimed to investigate the sociodemographic and behavioral factors related to increased influenza vaccination uptake during the COVID-19 pandemic in South Korea, particularly among adults not eligible for free vaccination.
Methods: Analyzing data from 78,815 participants in the Korea National Health and Nutrition Examination Survey (2010-2021), we assessed trends in influenza vaccination coverage. Various sociodemographic factors, behavioral aspects, and psychological stress levels were assessed using multivariable logistic regression to evaluate the difference in vaccination response during pre-/post-COVID-19 periods.
Arch Virol
January 2025
Department Experimental and Clinical Medicine, University of Florence, Florence, Italy.
The I38T substitution in the influenza virus polymerase-acidic (PA) subunit is a resistance marker of concern for treatment with the antiviral baloxavir marboxil (BXM). Thus, monitoring PA/I38T mutations is of clinical importance. Here, we developed three rapid and sensitive assays for the detection and monitoring of the PA/I38T mutation.
View Article and Find Full Text PDFArch Virol
January 2025
CAS Key Laboratory of Molecular Virology & Immunology, Institutional Center for Shared Technologies and Facilities, Pathogen Discovery and Big Data Platform, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Yueyang Road 320, Shanghai, 200031, China.
To battle seasonal outbreaks of influenza B virus infection, which continue to pose a major threat to world health, new and improved vaccines are urgently needed. In this article, we discuss the current state of next-generation influenza B vaccine development, including both advancements and challenges. This review covers the shortcomings of existing influenza vaccines and stresses the need for more-effective and broadly protective vaccines and more-easily scalable manufacturing processes.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
The seasonality and epidemiology of viral acute respiratory infections (ARIs) have changed since the coronavirus disease 2019 pandemic. However, molecular-based ARI surveillance has not been conducted in Japan. We developed a regional surveillance program to define the local epidemiology of ARIs.
View Article and Find Full Text PDFSci Rep
January 2025
School of Public Health, University Medical Center Utrecht, Utrecht University & Harvard T.H. Chan, Harvard University, Utrecht, The Netherlands.
This document determines the causes of mortality (2008-2022) and calculate per capita health expenditure (2013-2021) in octogenarians, nonagenarians and centenarians in the Colombian population, considering year, gender and age group. For this nationwide retrospective descriptive observational study, epidemiological regions, urban/rural areas and morbidities were also studied. A mean of 75,552 deaths was observed from 2008 to 2022.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!