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Burden of infectious disease studies in Europe and the United Kingdom: a review of methodological design choices
- Periklis Charalampous, Juanita A. Haagsma, Lea S. Jakobsen, Vanessa Gorasso, Isabel Noguer, Alicia Padron-Monedero, Rodrigo Sarmiento, João Vasco Santos, Scott A. McDonald, Dietrich Plass, Grant M. A. Wyper, Ricardo Assunção, Elena von der Lippe, Balázs Ádám, Ala'a AlKerwi, Jalal Arabloo, Ana Lúcia Baltazar, Boris Bikbov, Maria Borrell-Pages, Iris Brus, Genc Burazeri, Serafeim C. Chaintoutis, José Chen-Xu, Nino Chkhaberidze, Seila Cilovic-Lagarija, Barbara Corso, Sarah Cuschieri, Carlotta Di Bari, Keren Dopelt, Mary Economou, Theophilus I. Emeto, Peter Fantke, Florian Fischer, Alberto Freitas, Juan Manuel García-González, Federica Gazzelloni, Mika Gissler, Artemis Gkitakou, Hakan Gulmez, Sezgin Gunes, Sebastian Haller, Romana Haneef, Cesar A. Hincapié, Paul Hynds, Jane Idavain, Milena Ilic, Irena Ilic, Gaetano Isola, Zubair Kabir, Maria Kamusheva, Pavel Kolkhir, Naime Meriç Konar, Polychronis Kostoulas, Mukhtar Kulimbet, Carlo La Vecchia, Paolo Lauriola, Miriam Levi, Marjeta Majer, Enkeleint A. Mechili, Lorenzo Monasta, Stefania Mondello, Javier Muñoz Laguna, Evangelia Nena, Edmond S. W. Ng, Paul Nguewa, Vikram Niranjan, Iskra Alexandra Nola, Rónán O'Caoimh, Marija Obradović, Elena Pallari, Mariana Peyroteo, Vera Pinheiro, Nurka Pranjic, Miguel Reina Ortiz, Silvia Riva, Cornelia Melinda Adi Santoso, Milena Santric Milicevic, Tugce Schmitt, Niko Speybroeck, Maximilian Sprügel, Paschalis Steiropoulos, Aleksandar Stevanovic, Lau Caspar Thygesen, Fimka Tozija, Brigid Unim, Hilal Bektaş Uysal, Orsolya Varga, Milena Vasic, Rafael José Vieira, Vahit Yigit, Brecht Devleesschauwer, Sara M. Pires
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- Journal:
- Epidemiology & Infection / Volume 151 / 2023
- Published online by Cambridge University Press:
- 09 January 2023, e19
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This systematic literature review aimed to provide an overview of the characteristics and methods used in studies applying the disability-adjusted life years (DALY) concept for infectious diseases within European Union (EU)/European Economic Area (EEA)/European Free Trade Association (EFTA) countries and the United Kingdom. Electronic databases and grey literature were searched for articles reporting the assessment of DALY and its components. We considered studies in which researchers performed DALY calculations using primary epidemiological data input sources. We screened 3053 studies of which 2948 were excluded and 105 studies met our inclusion criteria. Of these studies, 22 were multi-country and 83 were single-country studies, of which 46 were from the Netherlands. Food- and water-borne diseases were the most frequently studied infectious diseases. Between 2015 and 2022, the number of burden of infectious disease studies was 1.6 times higher compared to that published between 2000 and 2014. Almost all studies (97%) estimated DALYs based on the incidence- and pathogen-based approach and without social weighting functions; however, there was less methodological consensus with regards to the disability weights and life tables that were applied. The number of burden of infectious disease studies undertaken across Europe has increased over time. Development and use of guidelines will promote performing burden of infectious disease studies and facilitate comparability of the results.
16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
- Kareem A. Wahid, Renjie He, Brigid A. McDonald, Brian M. Anderson, Travis Salzillo, Sam Mulder, Jarey Wang, Christina Setareh Sharafi, Lance A. McCoy, Mohamed A. Naser, Sara Ahmed, Keith L. Sanders, Abdallah S.R. Mohamed, Yao Ding, Jihong Wang, Kate Hutcheson, Stephen Y. Lai, Clifton D. Fuller, Lisanne V. van Dijk
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- Journal:
- Journal of Clinical and Translational Science / Volume 5 / Issue s1 / March 2021
- Published online by Cambridge University Press:
- 30 March 2021, p. 43
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ABSTRACT IMPACT: This work will standardize necessary image pre-processing for diagnostic and prognostic clinical workflows dependent on quantitative analysis of conventional magnetic resonance imaging. OBJECTIVES/GOALS: Conventional magnetic resonance imaging (MRI) poses challenges for quantitative analysis due to a lack of uniform inter-scanner voxel intensity values. Head and neck cancer (HNC) applications in particular have not been well investigated. This project aims to systematically evaluate voxel intensity standardization (VIS) methods for HNC MRI. METHODS/STUDY POPULATION: We utilize two separate cohorts of HNC patients, where T2-weighted (T2-w) MRI sequences were acquired before beginning radiotherapy for five patients in each cohort. The first cohort corresponds to patients with images taken at various institutions with a variety of non-uniform acquisition scanners and parameters. The second cohort corresponds to patients from a prospective clinical trial with uniformity in both scanner and acquisition parameters. Regions of interest from a variety of healthy tissues assumed to have minimal interpatient variation were manually contoured for each image and used to compare differences between a variety of VIS methods for each cohort. Towards this end, we implement a new metric for cohort intensity distributional overlap to compare region of interest similarity in a given cohort. RESULTS/ANTICIPATED RESULTS: Using a simple and interpretable metric, we have systematically investigated the effects of various commonly implementable VIS methods on T2-w sequences for two independent cohorts of HNC patients based on region of interest intensity similarity. We demonstrate VIS has a substantial effect on T2-w images where non-uniform acquisition parameters and scanners are utilized. Oppositely, it has a modest to minimal impact on T2-w images generated from the same scanner with the same acquisition parameters. Moreover, with a few notable exceptions, there does not seem to be a clear advantage or disadvantage to using one VIS method over another for T2-w images with non-uniform acquisition parameters. DISCUSSION/SIGNIFICANCE OF FINDINGS: Our results inform which VIS methods should be favored in HNC MRI and may indicate VIS is not a critical factor to consider in circumstances where similar acquisition parameters can be utilized. Moreover, our results can help guide downstream quantitative imaging tasks that may one day be implemented in clinical workflows.