Institution
European Centre for Disease Prevention and Control
Government•Stockholm, Sweden•
About: European Centre for Disease Prevention and Control is a government organization based out in Stockholm, Sweden. It is known for research contribution in the topics: European union & Population. The organization has 874 authors who have published 1810 publications receiving 72421 citations. The organization is also known as: ECDC & European Centre For Disease Prevention And Control.
Topics: European union, Population, Public health, Outbreak, Vaccination
Papers published on a yearly basis
Papers
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European Centre for Disease Prevention and Control1, Centers for Disease Control and Prevention2, Tel Aviv Sourasky Medical Center3, Tufts University4, ALFA5, Karolinska University Hospital6, University of Geneva7, University of California, Los Angeles8, Royal Brisbane and Women's Hospital9, Brown University10, Brigham and Women's Hospital11
TL;DR: A group of international experts came together through a joint initiative by the European Centre for Disease Prevention and Control and the Centers for Disease Control and Prevention, to create a standardized international terminology with which to describe acquired resistance profiles in Staphylococcus aureus, Enterococcus spp.
8,695 citations
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University of Tübingen1, World Health Organization2, University of Cape Town3, European Centre for Disease Prevention and Control4, Utrecht University5, Tel Aviv University6, Laval University7, Boston University8, Centers for Disease Control and Prevention9, European Medicines Agency10, Food and Drug Administration11, Biomedical Advanced Research and Development Authority12, University of Melbourne13, University of Otago14, George Washington University15
TL;DR: Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria, and include antibiotic-resistant bacteria responsible for community-acquired infections.
Abstract: Summary Background The spread of antibiotic-resistant bacteria poses a substantial threat to morbidity and mortality worldwide. Due to its large public health and societal implications, multidrug-resistant tuberculosis has been long regarded by WHO as a global priority for investment in new drugs. In 2016, WHO was requested by member states to create a priority list of other antibiotic-resistant bacteria to support research and development of effective drugs. Methods We used a multicriteria decision analysis method to prioritise antibiotic-resistant bacteria; this method involved the identification of relevant criteria to assess priority against which each antibiotic-resistant bacterium was rated. The final priority ranking of the antibiotic-resistant bacteria was established after a preference-based survey was used to obtain expert weighting of criteria. Findings We selected 20 bacterial species with 25 patterns of acquired resistance and ten criteria to assess priority: mortality, health-care burden, community burden, prevalence of resistance, 10-year trend of resistance, transmissibility, preventability in the community setting, preventability in the health-care setting, treatability, and pipeline. We stratified the priority list into three tiers (critical, high, and medium priority), using the 33rd percentile of the bacterium's total scores as the cutoff. Critical-priority bacteria included carbapenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa , and carbapenem-resistant and third-generation cephalosporin-resistant Enterobacteriaceae. The highest ranked Gram-positive bacteria (high priority) were vancomycin-resistant Enterococcus faecium and meticillin-resistant Staphylococcus aureus . Of the bacteria typically responsible for community-acquired infections, clarithromycin-resistant Helicobacter pylori , and fluoroquinolone-resistant Campylobacter spp, Neisseria gonorrhoeae , and Salmonella typhi were included in the high-priority tier. Interpretation Future development strategies should focus on antibiotics that are active against multidrug-resistant tuberculosis and Gram-negative bacteria. The global strategy should include antibiotic-resistant bacteria responsible for community-acquired infections such as Salmonella spp, Campylobacter spp, N gonorrhoeae , and H pylori . Funding World Health Organization.
3,184 citations
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TL;DR: In this paper, the burden of infections caused by antibiotic-resistant bacteria of public health concern in countries of the EU and European Economic Area (EEA) in 2015, measured in number of cases, attributable deaths, and disability-adjusted life-years (DALYs).
Abstract: Summary Background Infections due to antibiotic-resistant bacteria are threatening modern health care. However, estimating their incidence, complications, and attributable mortality is challenging. We aimed to estimate the burden of infections caused by antibiotic-resistant bacteria of public health concern in countries of the EU and European Economic Area (EEA) in 2015, measured in number of cases, attributable deaths, and disability-adjusted life-years (DALYs). Methods We estimated the incidence of infections with 16 antibiotic resistance–bacterium combinations from European Antimicrobial Resistance Surveillance Network (EARS-Net) 2015 data that was country-corrected for population coverage. We multiplied the number of bloodstream infections (BSIs) by a conversion factor derived from the European Centre for Disease Prevention and Control point prevalence survey of health-care-associated infections in European acute care hospitals in 2011–12 to estimate the number of non-BSIs. We developed disease outcome models for five types of infection on the basis of systematic reviews of the literature. Findings From EARS-Net data collected between Jan 1, 2015, and Dec 31, 2015, we estimated 671 689 (95% uncertainty interval [UI] 583 148–763 966) infections with antibiotic-resistant bacteria, of which 63·5% (426 277 of 671 689) were associated with health care. These infections accounted for an estimated 33 110 (28 480–38 430) attributable deaths and 874 541 (768 837–989 068) DALYs. The burden for the EU and EEA was highest in infants (aged Interpretation Our results present the health burden of five types of infection with antibiotic-resistant bacteria expressed, for the first time, in DALYs. The estimated burden of infections with antibiotic-resistant bacteria in the EU and EEA is substantial compared with that of other infectious diseases, and has increased since 2007. Our burden estimates provide useful information for public health decision-makers prioritising interventions for infectious diseases. Funding European Centre for Disease Prevention and Control.
1,746 citations
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TL;DR: In this paper, the authors compile the largest contemporary database for both species and pair it with relevant environmental variables predicting their global distribution, showing Aedes distributions to be the widest ever recorded; now extensive in all continents, including North America and Europe.
Abstract: Dengue and chikungunya are increasing global public health concerns due to their rapid geographical spread and increasing disease burden. Knowledge of the contemporary distribution of their shared vectors, Aedes aegypti and Aedes albopictus remains incomplete and is complicated by an ongoing range expansion fuelled by increased global trade and travel. Mapping the global distribution of these vectors and the geographical determinants of their ranges is essential for public health planning. Here we compile the largest contemporary database for both species and pair it with relevant environmental variables predicting their global distribution. We show Aedes distributions to be the widest ever recorded; now extensive in all continents, including North America and Europe. These maps will help define the spatial limits of current autochthonous transmission of dengue and chikungunya viruses. It is only with this kind of rigorous entomological baseline that we can hope to project future health impacts of these viruses.
1,416 citations
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University of Birmingham1, Bernhard Nocht Institute for Tropical Medicine2, University of Toronto3, Ontario Institute for Cancer Research4, Public Health England5, European Centre for Disease Prevention and Control6, University of Edinburgh7, Robert Koch Institute8, Swiss Tropical and Public Health Institute9, University College London10, Paul Ehrlich Institute11, University of Liverpool12, Rega Institute for Medical Research13, Kenya Medical Research Institute14, Friedrich Loeffler Institute15, Janssen-Cilag16, Technische Universität München17, Public Health Agency of Canada18, Pasteur Institute19, Sandia National Laboratories20, MRIGlobal21, World Health Organization22, University of London23, Norwegian Institute of Public Health24, Defence Science and Technology Laboratory25, Bundeswehr Institute of Microbiology26, National Institutes of Health27
TL;DR: This paper presents sequence data and analysis of 142 EBOV samples collected during the period March to October 2015 and shows that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.
Abstract: A nanopore DNA sequencer is used for real-time genomic surveillance of the Ebola virus epidemic in the field in Guinea; the authors demonstrate that it is possible to pack a genomic surveillance laboratory in a suitcase and transport it to the field for on-site virus sequencing, generating results within 24 hours of sample collection. This paper reports the use of nanopore DNA sequencers (known as MinIONs) for real-time genomic surveillance of the Ebola virus epidemic, in the field in Guinea. The authors demonstrate that it is possible to pack a genomic surveillance laboratory in a suitcase and transport it to the field for on-site virus sequencing, generating results within 24 hours of sample collection. The Ebola virus disease epidemic in West Africa is the largest on record, responsible for over 28,599 cases and more than 11,299 deaths1. Genome sequencing in viral outbreaks is desirable to characterize the infectious agent and determine its evolutionary rate. Genome sequencing also allows the identification of signatures of host adaptation, identification and monitoring of diagnostic targets, and characterization of responses to vaccines and treatments. The Ebola virus (EBOV) genome substitution rate in the Makona strain has been estimated at between 0.87 × 10−3 and 1.42 × 10−3 mutations per site per year. This is equivalent to 16–27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic2,3,4,5,6,7. Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions8. Genomic surveillance during the epidemic has been sporadic owing to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities9. To address this problem, here we devise a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. We present sequence data and analysis of 142 EBOV samples collected during the period March to October 2015. We were able to generate results less than 24 h after receiving an Ebola-positive sample, with the sequencing process taking as little as 15–60 min. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.
1,187 citations
Authors
Showing all 877 results
Name | H-index | Papers | Citations |
---|---|---|---|
Martin McKee | 138 | 1732 | 125972 |
Andreas Voss | 83 | 757 | 28426 |
Christopher Williams | 73 | 590 | 54807 |
David Brown | 72 | 314 | 16137 |
Marc Struelens | 70 | 278 | 23285 |
Dominique A. Caugant | 70 | 298 | 22245 |
Richard Pebody | 62 | 343 | 15226 |
Giovanni Sotgiu | 60 | 538 | 15730 |
Mirjam Kretzschmar | 58 | 299 | 14248 |
Chris Bonell | 57 | 271 | 16205 |
Angus Nicoll | 46 | 164 | 6543 |
Jan C. Semenza | 42 | 112 | 6638 |
Mika Salminen | 42 | 109 | 7943 |
Annalisa Pantosti | 42 | 188 | 6531 |
Dominique L Monnet | 40 | 102 | 17092 |