Background: A major explosion occurred in the AZF chemical factory in Toulouse in September 2001. A comprehensive programme of epidemiological surveillance was set up.
Objectives: To present an overview of the programme and discuss the methods and potential utility of post-disaster epidemiology. The programme had three objectives: (1) to analyse comprehensively the short-term and long-term effects of air, water and secondary soil pollution on health; (2) to identify health problems needing special attention; and (3) to investigate the long-term direct and indirect effects on the population's health.
Methods: The programme was organised through three committees: (1) a scientific committee, (2) an executive programme committee and (3) an institutional committee which aimed to facilitate exchanges between the epidemiologists, the regional authorities, the population and the media. As the catastrophe was an industrial disaster that had a major effect on workers and companies, and also caused severe damage to many schools and buildings all over the city, routine and ad hoc surveillance systems were used and three specific ad hoc questionnaire surveys in workers, schoolchildren and the general population were planned.
Results And Conclusions: Although the routine surveillance systems had limitations, several sources provided useful information for public health decisions and were found to be concordant with ad hoc epidemiological studies. Defining a victim was central to the choice of a programme design based on an approach either to victims of the disaster or to the entire population in the surrounding region. Anticipation and preparation for such disasters are thus required.
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http://dx.doi.org/10.1136/jech.2005.043331 | DOI Listing |
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 PDFJMIR Public Health Surveill
January 2025
Center for Global Health, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
Background: Numerous studies have assessed the risk of SARS-CoV-2 exposure and infection among health care workers during the pandemic. However, far fewer studies have investigated the impact of SARS-CoV-2 on essential workers in other sectors. Moreover, guidance for maintaining a safely operating workplace in sectors outside of health care remains limited.
View Article and Find Full Text PDFNeurology
February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA 94305.
What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today's academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research.
View Article and Find Full Text PDFPLoS One
January 2025
Departamento de Bioquímica y Medicina Molecular, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
Introduction: The methicillin-resistant Staphylococcus aureus (MRSA) genome varies by geographical location. This study aims to determine the genomic characteristics of MRSA using whole-genome sequencing (WGS) data from medical centers in Mexico and to explore the associations between antimicrobial resistance genes and virulence factors.
Methods: This study included 27 clinical isolates collected from sterile sites at eight centers in Mexico in 2022 and 2023.
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