The local health conference in a North Rhine-Westphalian county of Germany has made proposals to improve immunisation rates against measles, mumps and rubella. Another target was to prevent decubitus by elderly patients in hospitals, nursing homes and in the outpatient nursing. Local public health reports were the basis for the development of (local) health targets in the health conference. The data of 12,830 immunisation papers from 11-19-year old students showed immunisation rates against measles, mumps and rubella from 44% to 14% depending on the type of school. Virus hepatitis B immunisation rates are 32% in the county. There were also great differences between local towns of the county. The decubitus data showed rates from 2.3% in nursing homes to 5.1% in the outpatient sector. It is also shown that health reports and health conferences help to improve local conditions in public and individual health.
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http://dx.doi.org/10.1055/s-2001-10956 | DOI Listing |
Am J Public Health
January 2025
Alexia Couture, A. Danielle Iuliano, Ryan Threlkel, Matthew Gilmer, Alissa O'Halloran, Dawud Ujamaa, Matthew Biggerstaff, and Carrie Reed are with the National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA. Howard H. Chang is with the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
To develop a method leveraging hospital-based surveillance to estimate influenza-related hospitalizations by state, age, and month as a means of enhancing current US influenza burden estimation efforts. Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we extrapolated monthly FluSurv-NET hospitalization rates after adjusting for testing practices and diagnostic test sensitivities to non-FluSurv-NET states. We used a Poisson zero-inflated model with an overdispersion parameter within the Bayesian hierarchical framework and accounted for uncertainty and variability between states and across time.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
Center for Cell Engineering, Sloan Kettering Institute, New York, NY.
Purpose: We designed a CD19-targeted chimeric antigen receptor (CAR) comprising a calibrated signaling module, termed 1XX, that differs from that of conventional CD28/CD3ζ and 4-1BB/CD3ζ CARs. Preclinical data demonstrated that 1XX CARs generated potent effector function without undermining T-cell persistence. We hypothesized that 1XX CAR T cells may be effective at low doses and elicit minimal toxicities.
View Article and Find Full Text PDFInfect Dis Ther
January 2025
Vaccine Research and Development, Pfizer R&D UK Ltd, Marlow, UK.
Introduction: Infants and young children typically have the highest age-related risk of invasive meningococcal disease. The immunogenicity and safety of a single primary dose and a booster of a meningococcal A/C/W/Y tetanus toxoid conjugate vaccine (MenACWY-TT; Nimenrix) in infants were evaluated.
Methods: In this phase 3b, open-label, single-arm study, healthy 3-month-old infants received a single Nimenrix dose followed by a booster at age 12 months (1 + 1 series).
Ann Med
December 2025
College of Public Health, Institute of Health Data Analytics and Statistics, National Taiwan University, Taipei, Taiwan.
Background: Despite global declines in cervical cancer incidence, certain regions observe unexpected rising trends among younger generations.
Methods: This study uses the age-period-cohort model to examine long-term incidence trends of invasive cervical cancer in Taiwan. Data were sourced from the Taiwan Cancer Registry.
Immunol Invest
January 2025
Transplantation Research Institute, Seoul National University Medical Research Center, Seoul, South Korea.
Background: Single-cell RNA sequencing (scRNA-seq) has improved our ability to characterize rare cell populations. In practice, cells from different tissues or donors are simultaneously loaded onto the instrument (multiplexed) at the recommended (standard loading) or higher (superloading) numbers to save time and money. Although cost-effective, superloading can stymie computational analyses owing to high multiplet rates and sample complexity.
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