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- Ablikim, M., et al.
(författare)
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Measurement of branching fractions for psi(3686) -> gamma eta ', gamma eta, and gamma pi(0)
- 2017
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Ingår i: Physical Review D. - : AMER PHYSICAL SOC. - 2470-0010 .- 2470-0029. ; 96:5
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Tidskriftsartikel (refereegranskat)abstract
- Using a data sample of 448 x 10(6) psi(3686) events collected with the BESIII detector operating at the BEPCII storage ring, the decays psi(3686) -> gamma eta and psi(3686) -> gamma pi(0) are observed with a statistical significance of 7.3 sigma and 6.7 sigma, respectively. The branching fractions are measured to be B(psi(3686) -> gamma eta) = (0.85 +/- 0.18 +/- 0.05) x 10(-6) and B(psi(3686) ->gamma pi(0)) = (0.95 +/- 0.16 +/- 0.05) x 10(-6). In addition, we measure the branching fraction of psi(3686) -> gamma eta' to be B(psi(3686) -> gamma eta') = (125.1 +/- 2.2 +/- 6.2)x10(-6), which represents an improvement of precision over previous results.
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| 4. |
- Schmidtke, A, et al.
(författare)
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Suicide rates in the world: Update
- 1999
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Ingår i: ARCHIVES OF SUICIDE RESEARCH. - : Informa UK Limited. - 1381-1118 .- 1543-6136. ; 5:1, s. 81-89
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 7. |
- Baravelli, C. M., et al.
(författare)
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Subnational inequalities in YLLs and associated socioeconomic factors : a disease burden study
- 2023
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Ingår i: European Journal of Public Health. - : Oxford University Press. - 1101-1262 .- 1464-360X. ; 33:Suppl. 2, s. ii142-ii143
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Health inequalities are an unjust and avoidable problem. Thiss tudy examines subnational geographical inequalities in all-cause years of life lost (YLLs) and the association of socioeconomic factors in pre-coronavirus European Economic Area (EEA) countries.Methods: In this ecological study complimented with a longitudinal analysis, demographic and socioeconomic data for 1390 small regions and 285 basic regions of 32 EEA countries were extracted from Eurostat. Age-standardised YLL rates per 100,000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease Study. Inequalities were assessed using the Gini coefficient (GC) and slope index of inequality (SII). The association between socioeconomic factors by YLLs were assessed using negative binomial mixed models in 2019.Findings: Over the period 2009-2019, YLLs have decreased in almost all subnational regions. The GC of YLLs across EEA regions was 14% for females (95% CI = 135 to 146%) and 17% for males (CI = 161 to 175%). Greece (GC = 101%, CI = 78 to 25%) and Belgium (GC = 108%, CI = 95 to 120%) had the highest relative inequalities in YLLs for women and men, respectively. Subnational regions with the lowest income (incident rate ratio (IRR) = 139, CI = 123 to 158) and levels of educational attainment (IRRfemales = 119, CI = 113 to 126; IRRmales = 122, CI = 116 to 128), and highest poverty risk (IRR = 118, CI = 112 to 125) were associated with increased YLLs, with stronger associations observed in Central and Eastern Europe.Interpretation: Differences in YLLs remain within and between EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing specific health inequities to improve overall disease burden within the EEA.Key messages:The study highlights the need for public health policies targeted at the subnational level to reduce health inequalities in the EEA.The study describes the effect of existing public health policies targeting socioeconomic factors.
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| 8. |
- Ma, Kevin C., et al.
(författare)
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Adaptation to the cervical environment is associated with increased antibiotic susceptibility in Neisseria gonorrhoeae
- 2020
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Ingår i: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Neisseria gonorrhoeae is an urgent public health threat due to rapidly increasing incidence and antibiotic resistance. In contrast with the trend of increasing resistance, clinical isolates that have reverted to susceptibility regularly appear, prompting questions about which pressures compete with antibiotics to shape gonococcal evolution. Here, we used genome-wide association to identify loss-of-function (LOF) mutations in the efflux pump mtrCDE operon as a mechanism of increased antibiotic susceptibility and demonstrate that these mutations are overrepresented in cervical relative to urethral isolates. This enrichment holds true for LOF mutations in another efflux pump, farAB, and in urogenitally-adapted versus typical N. meningitidis, providing evidence for a model in which expression of these pumps in the female urogenital tract incurs a fitness cost for pathogenic Neisseria. Overall, our findings highlight the impact of integrating microbial population genomics with host metadata and demonstrate how host environmental pressures can lead to increased antibiotic susceptibility.
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| 9. |
- Sánchez-Busó, Leonor, et al.
(författare)
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A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch
- 2021
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Ingår i: Genome Medicine. - : BioMed Central. - 1756-994X. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Antimicrobial-resistant (AMR) Neisseria gonorrhoeae is an urgent threat to public health, as strains resistant to at least one of the two last-line antibiotics used in empiric therapy of gonorrhoea, ceftriaxone and azithromycin, have spread internationally. Whole genome sequencing (WGS) data can be used to identify new AMR clones and transmission networks and inform the development of point-of-care tests for antimicrobial susceptibility, novel antimicrobials and vaccines. Community-driven tools that provide an easy access to and analysis of genomic and epidemiological data is the way forward for public health surveillance.METHODS: Here we present a public health-focussed scheme for genomic epidemiology of N. gonorrhoeae at Pathogenwatch ( https://pathogen.watch/ngonorrhoeae ). An international advisory group of experts in epidemiology, public health, genetics and genomics of N. gonorrhoeae was convened to inform on the utility of current and future analytics in the platform. We implement backwards compatibility with MLST, NG-MAST and NG-STAR typing schemes as well as an exhaustive library of genetic AMR determinants linked to a genotypic prediction of resistance to eight antibiotics. A collection of over 12,000 N. gonorrhoeae genome sequences from public archives has been quality-checked, assembled and made public together with available metadata for contextualization.RESULTS: AMR prediction from genome data revealed specificity values over 99% for azithromycin, ciprofloxacin and ceftriaxone and sensitivity values around 99% for benzylpenicillin and tetracycline. A case study using the Pathogenwatch collection of N. gonorrhoeae public genomes showed the global expansion of an azithromycin-resistant lineage carrying a mosaic mtr over at least the last 10 years, emphasising the power of Pathogenwatch to explore and evaluate genomic epidemiology questions of public health concern.CONCLUSIONS: The N. gonorrhoeae scheme in Pathogenwatch provides customised bioinformatic pipelines guided by expert opinion that can be adapted to public health agencies and departments with little expertise in bioinformatics and lower-resourced settings with internet connection but limited computational infrastructure. The advisory group will assess and identify ongoing public health needs in the field of gonorrhoea, particularly regarding gonococcal AMR, in order to further enhance utility with modified or new analytic methods.
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