This paper, the last in the Special Issue (SI) on the SHAMISEN project, presents an overview of the SHAMISEN Recommendations for Preparedness and Health Surveillance of Populations Affected by a Radiation Accident. The recommendations are based on the lessons learnt from previous nuclear accidents, and the engagement activities with different stakeholder groups, described in the other papers of this SI. The SHAMISEN project developed a total of 28 recommendations. They include general recommendations, applicable across all phases of an accident, and specific recommendations for each of the three main phases: preparedness, early and intermediate, and long-term recovery. The recommendations are subdivided by topic: health surveillance, epidemiological studies, dose reconstruction, evacuation, and training of and communication with health personnel and other actors involved in liaising with affected populations. Each recommendation is divided into 3 sections - why, how and who - thus providing background and concrete advice as to how each SHAMISEN recommendation should be implemented and by whom. It is notable that many recommendations are also applicable to other disaster types, including the current SARS-CoV-2 pandemic.
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http://dx.doi.org/10.1016/j.envint.2020.106278 | DOI Listing |
Vet Parasitol
January 2025
Institute of Parasitology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, Bern 3012, Switzerland. Electronic address:
The protozoan parasite Neospora caninum is an important cause of abortion in cattle. Infection occurs horizontally by ingestion of oocysts shed by canids or vertically, from an infected dam to the foetus, and may result in abortion, stillbirth, or the birth of subclinically infected offspring. We estimated the occurrence of N.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Renal-Electrolyte Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (M.C.-P., R.B.M., C.M.P.).
Background: Prior studies indicate that 1% to 4% of Epstein-Barr virus (EBV)-seronegative recipients of EBV-seropositive donor (EBV D+/R-) kidneys develop posttransplant lymphoproliferative disorder (PTLD). However, these estimates are based on limited data that lack granularity.
Objective: To determine the associations between pretransplant EBV D+/R- and recipient EBV-seropositive status (R+) and the outcomes of PTLD and graft and patient survival among adult kidney transplant recipients.
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore; and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland (T.M.B.).
Background: Guidelines emphasize quiet settings for blood pressure (BP) measurement.
Objective: To determine the effect of noise and public environment on BP readings.
Design: Randomized crossover trial of adults in Baltimore, Maryland.
JMIR Form Res
January 2025
Vaccine Study Center, Northern California Division of Research, Kaiser Permanente, Oakland, CA, United States.
Background: Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial.
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