Modelling LTC Incorporating Systematic Uncertainties in Health Transition Rates

2015 ◽  
Author(s):  
Tiffany Li
2021 ◽  
Vol 155 (3) ◽  
pp. 034105
Author(s):  
Taha Selim ◽  
Arthur Christianen ◽  
Ad van der Avoird ◽  
Gerrit C. Groenenboom

Aquaculture ◽  
2021 ◽  
Vol 541 ◽  
pp. 736825
Author(s):  
Jonathan S.F. Lee ◽  
Melissa L. Pierce ◽  
Rachel S. Poretsky ◽  
Matthew A. Cook ◽  
Barry A. Berejikian ◽  
...  

2021 ◽  
pp. 096228022199750
Author(s):  
Zvifadzo Matsena Zingoni ◽  
Tobias F Chirwa ◽  
Jim Todd ◽  
Eustasius Musenge

There are numerous fields of science in which multistate models are used, including biomedical research and health economics. In biomedical studies, these stochastic continuous-time models are used to describe the time-to-event life history of an individual through a flexible framework for longitudinal data. The multistate framework can describe more than one possible time-to-event outcome for a single individual. The standard estimation quantities in multistate models are transition probabilities and transition rates which can be mapped through the Kolmogorov-Chapman forward equations from the Bayesian estimation perspective. Most multistate models assume the Markov property and time homogeneity; however, if these assumptions are violated, an extension to non-Markovian and time-varying transition rates is possible. This manuscript extends reviews in various types of multistate models, assumptions, methods of estimation and data features compatible with fitting multistate models. We highlight the contrast between the frequentist (maximum likelihood estimation) and the Bayesian estimation approaches in the multistate modeling framework and point out where the latter is advantageous. A partially observed and aggregated dataset from the Zimbabwe national ART program was used to illustrate the use of Kolmogorov-Chapman forward equations. The transition rates from a three-stage reversible multistate model based on viral load measurements in WinBUGS were reported.


Author(s):  
Felix Mühlensiepen ◽  
Sandra Kurkowski ◽  
Martin Krusche ◽  
Johanna Mucke ◽  
Robert Prill ◽  
...  

The global COVID-19 pandemic has led to drastic changes in the management of patients with rheumatic diseases. Due to the imminent risk of infection, monitoring intervals of rheumatic patients have prolonged. The aim of this study is to present insights from patients, rheumatologists, and digital product developers on the ongoing digital health transition in rheumatology. A qualitative and participatory semi-structured fishbowl approach was conducted to gain detailed insights from a total of 476 participants. The main findings show that digital health and remote care are generally welcomed by the participants. Five key themes emerged from the qualitative content analysis: (1) digital rheumatology use cases, (2) user descriptions, (3) adaptation to different environments of rheumatology care, and (4) potentials of and (5) barriers to digital rheumatology implementation. Codes were scaled by positive and negative ratings as well as on micro, meso, and macro levels. A main recommendation resulting from the insights is that both patients and rheumatologists need more information and education to successfully implement digital health tools into clinical routine.


2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Ulrich Haisch ◽  
Amando Hala

Abstract We estimate the form factors that parametrise the hadronic matrix elements of proton-to-pion transitions with the help of light-cone sum rules. These form factors are relevant for semi-leptonic proton decay channels induced by baryon-number violating dimension-six operators, as typically studied in the context of grand unified theories. We calculate the form factors in a kinematical regime where the momentum transfer from the proton to the pion is space-like and extrapolate our final results to the regime that is relevant for proton decay. In this way, we obtain estimates for the form factors that show agreement with the state-of-the-art calculations in lattice QCD, if systematic uncertainties are taken into account. Our work is a first step towards calculating more involved proton decay channels where lattice QCD results are not available at present.


2004 ◽  
Vol 19 (3-4) ◽  
pp. 311-328
Author(s):  
S. Friel ◽  
A. J. McMichael ◽  
T. Kjellstrom ◽  
T. Prapamontol

Abstract Over the past half-century, Thailand's health profile has been undergoiog an epidemiologic transition in association with various fundamental societal changes, shifting from one with a predominant burden of communicable disease to one in which noncommunicable diseases and accidents now predominate. The primary question is why have the disease rates in the Thai population changed? Answering this question requires an examination of the underlying transitions in social and contextual factors. This paper explores, using published data, how housing conditions, as one set of environmental health risks, have undergone transition in recent years and how this change maps on the health-transition process. A combination of economic development, urbanization, modernization, and increased health literacy resulted in a range of health-protecting changes in housing design and materials. Pre-eminent among such changes are improvements in household sanitation and in equipment, ventilation, and fuel pertaining to indoor cooking and heating. In tropical countries like Thailand, gains have been made in mosquito-proofing houses and in minimizing open pools of water to combat the risks of malaria, dengue fever, and other mosquito-borne infections. Meanwhile, the growth in shantytown and slum housing around the urban fringe, often in precarious environmental settings, introduced a negative dimension to the evolving profile of housing-related health risks, whereas the urban sprawl of modern residences creates health risks that are due to traffic crashes and the lack of walking in daily transport.


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