The spread of H5N1 influenza and the similarity between this avian virus and the Spanish flu virus causes fear of a new influenza pandemic, but data from the Spanish flu may also be of guidance in planning for preventive measures. Using data on influenza cases, influenza deaths and total deaths for Denmark and for Danish towns from 1917 to 1921, and population data from the 1916 and 1921 censuses, we analysed incident cases, cumulative, age-specific and age-standardized rates. Overall, more than 900,000 persons contracted flu during the y 1918-1920, and 1 out of 50 patients died from the disease. An early wave of the flu occurred in the capital and major towns, but not in peripheral towns. Influenza incidence in 1918 peaked at age 5-15 y, closely followed by the age groups 1-5 y and 15-65 y, but the influenza mortality was highest in the age groups 0-1 y and 15-65 y, with a peak mortality at age 20-34 y producing a W curve for mortality by age. The background for the better outcome in children aged 1-15 y as well as for the disease immunity in the elderly population should be further investigated.
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http://dx.doi.org/10.1080/00365540701870903 | DOI Listing |
Biologicals
January 2025
Centre for Human Drug Research (CHDR), Leiden, the Netherlands; Leiden University Medical Center (LUMC), Leiden, the Netherlands.
Inno4Vac, a public-private partnership funded by the IMI2/EU/EFPIA Joint Undertaking (IMI2 JU), brings together academic institutions, SMEs, and pharmaceutical companies to accelerate and de-risk vaccine development. The project has made significant strides in the selection and production of challenge agents for influenza, respiratory syncytial virus (RSV), and toxigenic Clostridioides difficile for controlled human infection model studies (CHIMs). A regulatory workshop held on March 20, 2024, addressed the standardisation of clinical procedures, ethical considerations, endpoints, and data integrity, highlighting the ongoing initiatives related to these CHIMs.
View Article and Find Full Text PDFEpidemics
January 2025
Institute of Evolutionary Medicine, University of Zurich, Switzerland; Swiss School of Public Health SSPH+, Zurich, Switzerland; Crisis Competence Center, University of Zurich, Switzerland. Electronic address:
Background: Our study aims to enhance future pandemic preparedness by integrating lessons from historical pandemics, focusing on the multidimensional analysis of past outbreaks. It addresses the gap in existing modelling studies by combining various pandemic parameters in a comprehensive setting. Using Zurich as a case study, we seek a deeper understanding of pandemic dynamics to inform future scenarios.
View Article and Find Full Text PDFBiology (Basel)
December 2024
Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, 90134 Palermo, Italy.
Studying models of healthy aging and exceptional longevity is crucial to understanding a possible longevity signature, as most show resistance to age-related diseases. In particular, semi- and supercentenarians are a highly selected group, having survived significant adversities, including the Spanish flu and COVID-19 pandemics, indicating distinctive immune system characteristics. This paper analyzes the inflammatory scores (INFLA-score, Systemic Inflammation Response Index (SIRI)) and Aging-Related Immune Phenotype (ARIP) indicators calculated from the dataset of the DESIGN project, including 249 participants aged 19-111 years, aiming to understand the immune-inflammatory (IMFLAM) role in achieving longevity.
View Article and Find Full Text PDFThe current situation with H5N1 highly pathogenic avian influenza virus (HPAI) is causing a worldwide concern due to multiple outbreaks in wild birds, poultry, and mammals. Moreover, multiple zoonotic infections in humans have been reported. Importantly, HPAI H5N1 viruses with genetic markers of adaptation to mammals have been detected.
View Article and Find Full Text PDFFront Epidemiol
December 2024
Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.
During the SARS-CoV-2 pandemic, the effective reproduction number (R-eff) has frequently been used to describe the course of the pandemic. Analytical properties of R-eff are rarely studied. We analytically examine how and under which conditions the conventional susceptible-infected-removed (SIR) model (without infection age) serves as an approximation to the infection-age-structured SIR model.
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