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- Pantazis, N, et al.
(författare)
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Determining the likely place of HIV acquisition for migrants in Europe combining subject-specific information and biomarkers data
- 2019
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Ingår i: Statistical methods in medical research. - : SAGE Publications. - 1477-0334 .- 0962-2802. ; 28:7, s. 1979-1997
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Tidskriftsartikel (refereegranskat)abstract
- In most HIV-positive individuals, infection time is only known to lie between the time an individual started being at risk for HIV and diagnosis time. However, a more accurate estimate of infection time is very important in certain cases. For example, one of the objectives of the Advancing Migrant Access to Health Services in Europe (aMASE) study was to determine if HIV-positive migrants, diagnosed in Europe, were infected pre- or post-migration. We propose a method to derive subject-specific estimates of unknown infection times using information from HIV biomarkers’ measurements, demographic, clinical, and behavioral data. We assume that CD4 cell count (CD4) and HIV-RNA viral load trends after HIV infection follow a bivariate linear mixed model. Using post-diagnosis CD4 and viral load measurements and applying the Bayes’ rule, we derived the posterior distribution of the HIV infection time, whereas the prior distribution was informed by AIDS status at diagnosis and behavioral data. Parameters of the CD4–viral load and time-to-AIDS models were estimated using data from a large study of individuals with known HIV infection times (CASCADE). Simulations showed substantial predictive ability (e.g. 84% of the infections were correctly classified as pre- or post-migration). Application to the aMASE study ( n = 2009) showed that 47% of African migrants and 67% to 72% of migrants from other regions were most likely infected post-migration. Applying a Bayesian method based on bivariate modeling of CD4 and viral load, and subject-specific information, we found that the majority of HIV-positive migrants in aMASE were most likely infected after their migration to Europe.
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- Jones, Benedict C, et al.
(författare)
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To which world regions does the valence-dominance model of social perception apply?
- 2021
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Ingår i: Nature Human Behaviour. - : Springer Science and Business Media LLC. - 2397-3374. ; 5:1, s. 159-169
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Tidskriftsartikel (refereegranskat)abstract
- Over the past 10 years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 5 November 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.7611443.v1 .
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- Hoyler, Marguerite, et al.
(författare)
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Shortage of Doctors, Shortage of Data: A Review of the Global Surgery, Obstetrics, and Anesthesia Workforce Literature
- 2014
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Ingår i: World Journal of Surgery. - : Springer Science and Business Media LLC. - 1432-2323 .- 0364-2313. ; 38:2, s. 269-280
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Forskningsöversikt (refereegranskat)abstract
- The global surgery workforce is in crisis in many low- and middle-income countries (LMICs). The shortage of surgery, obstetrics, and anesthesia providers is an important cause of the unmet need for surgical care in LMICs. The goal of this paper is to summarize the available literature about surgical physicians in LMICs and to describe ongoing initiatives to supplement the existing surgical workforce data. We performed a systematic search and literature review of the English-language literature regarding the number of surgeons, obstetrician-gynecologists, and anesthesiologists practicing in LMICs. Literature describing the number of surgeons, obstetricians, and anesthesiologists practicing in LMICs represents a small minority of LMICs, and indicates consistently low levels of surgical physicians. Our literature search yielded comprehensive data for only six countries. No national data were found for 23 of the 57 countries considered by the World Health Organization (WHO) to be in health workforce 'crisis.' Across LMICs, general surgeon density ranged from 0.13 to 1.57 per 100,000 population, obstetrician density ranged from 0.042 to 12.5 per 100,000, and anesthesiologist density ranged from 0 to 4.9 per 100,000. Total anesthesiologist, obstetrician, and surgeon density was significantly correlated with gross domestic product (GDP) per capita (r (2) = 0.097, p = 0.0002). The global surgery workforce is in crisis, yet is poorly characterized by the current English-language literature. There is a critical need for systematically collected, national-level data regarding surgery providers in LMICs to guide improvements in surgery access and care. The Harvard Global Surgery Workforce Initiative and the WHO global surgical workforce database are working to address this need by surveying Ministries of Health and surgical professional organizations around the world.
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- Keller, P. S., et al.
(författare)
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Global CO2 emissions from dry inland waters share common drivers across ecosystems
- 2020
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Ingår i: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Many inland waters exhibit complete or partial desiccation, or have vanished due to global change, exposing sediments to the atmosphere. Yet, data on carbon dioxide (CO2) emissions from these sediments are too scarce to upscale emissions for global estimates or to understand their fundamental drivers. Here, we present the results of a global survey covering 196 dry inland waters across diverse ecosystem types and climate zones. We show that their CO2 emissions share fundamental drivers and constitute a substantial fraction of the carbon cycled by inland waters. CO2 emissions were consistent across ecosystem types and climate zones, with local characteristics explaining much of the variability. Accounting for such emissions increases global estimates of carbon emissions from inland waters by 6% (~0.12 Pg C y−1). Our results indicate that emissions from dry inland waters represent a significant and likely increasing component of the inland waters carbon cycle.
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