Prioritization
Hung Le, Grace Duffy · Productivity Press eBooks · 2023
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About 10,000 papers for “Prioritization”
Hung Le, Grace Duffy · Productivity Press eBooks · 2023
Cited by 0
Ashley Michelle Stapp · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2020
Abstract not provided.
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Laura Cruz, Michele A. Parker, Brian Smentkowski et al. · 2023
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Catherine M. Burns, Neelam Naikar · Journal of Cognitive Engineering and Decision Making · 2016
Cited by 3
Stapp, Ashley Michelle · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2020
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Julia Chun, Tyler Tingley, William Lidwell · 2022
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Richard B. Gunderman, Luke D. Rinehart · Journal of the American College of Radiology · 2015
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Eduardo J. Simões, Garland Land, Robert W. Metzger et al. · Journal of Public Health Management and Practice · 2006
Although setting priorities is an important step in making public health policy, the benefit of using epidemiology to prioritize scarce public health resources has not been fully recognized. This situation is mostly due to the complexity of proposed models for setting priorities. We describe a public health priority setting model, Missouri Information for Community Assessment Priority Setting Model (Priority MICA), which uses epidemiologic measures available in most surveillance systems across the United States. Priority MICA uses data from birth and death certificates, hospital discharges, emergency departments, risk factors from the Behavioral Risk Factors Surveillance System, and eight epidemiologic measures to construct six priority criteria: size (the number of emergency department visits, hospitalizations, and deaths), severity (number of deaths of people younger than 65), urgency (trends in deaths and hospital morbidity), preventability (evidence-based score), community support (score of social support for preventive action), and racial-disparity (race comparison through death and morbidity rate ratio). Priority MICA is part of a Web-based interactive tool that makes available data from a wide variety of surveillance systems (http://www.dhss.mo.gov/MICA). The top 10 priority diseases determined by Priority MICA were compared to a more traditional method of ranking diseases by mortality rates. Using the additional criteria in Priority MICA identified four more priority diseases than were identified using just mortality while the ranking of the other six priority diseases differed between methods.
Cited by 16
Monica Vall-Palomar (20988404), Julieta Torchia (20988407), Jordi Morata (452295) et al. · Figshare · 2025
Flow diagram illustrating the step-by-step process used to identify potential modifier genes associated with FHHNC progression. CKD, chronic kidney disease; CLDN, claudin; eGFR, estimated glomerular filtration rate; eQTL, expression quantitative trait loci; FHHNC, familial hypomagnesemia with hypercalciuria and nephrocalcinosis; GATK, Genome Analysis Toolkit; GWAS, genome wide association study; PTH, parathyroid hormone; SKAT-O, optimal sequence kernel association test.
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A. Riviére · Focal Press eBooks · 2023
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Dean L. Urban · Landscape Ecology · 2024
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Zajac, Kimsey · Figshare · 2024
Regions in sub-Saharan Africa to be prioritized for mHealth based on disease burden, population density, and healthcare facility access.
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Parker, David G., Williams, Rod, Scott, Hubert D. · Journal of the Arkansas Academy of Science · 1996
The overall objective of this two-year study was to evaluate the water quality in the thirty-seven sub-basin watersheds in the Illinois River in Arkansas and to arrive at a watershed prioritization list to use in targeting non-point source activities. A water quality monitoring program was conducted with sampling in all thirty-seven sub-basins during both storm and base flow events and more intensive sampling in eight representative sub-basins during stOffil events. Each sub-basin was sampled seasonally during low flow (base-flow) conditions and during high flow storm (storm flow) conditions. In addition to the regular sampling, the intensive sub-basins were sampled approximately 20 additional times during high flow.
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None · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2024
2013 BTO Program Peer Review - Prioritization Tool
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Martina Zitterbart, Jörg Diederich · Encyclopedia of Wireless and Mobile Communications · 2007
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Sita Devulapalli, O. R. S. Rao, Akhil Khare · 2016
Consistency and variations in relevant parameters' influence on requirements prioritization as the data gathered grew in size over a period of 2 years is analyzed. Effect of data sample increase from 53 respondents from 20 companies to 87 respondents from 40 companies to 106 respondents from 60 companies is analyzed. Parameters used in practice and the order, they are used are identified in the process of comparison across data sets.
Cited by 7
Daniel Pacheco · OSF Preprints (OSF Preprints) · 2024
Repository containing the data of Pacheco Estefan et al., Nat. Commun., 2024)
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Léon-charles Tranchevent, Shi Yu, Steven Van Vooren et al. · 2008
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Anne M. G. Neevel (5176172), Tessa Hemrika (5176169), Eric Claassen (498131) et al. · Figshare · 2018
<p>Although there is a high standard deviation, tackling rabies in the animal host is considered most important for rabies control. LMIC = low- and middle income countries; HIC = high income countries.</p>
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Faber, Maya · Figshare · 2024
Current prioritization list for contaminants of emerging concern in the Salish Sea
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