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Relevant bibliographies by topics / Modelling mortality rate

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Academic literature on the topic 'Modelling mortality rate'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Modelling mortality rate"

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PIANTANELLI, L., A. BASSO, and G. ROSSOLINI. "Modelling the Link between Aging Rate and Mortality Rate." Annals of the New York Academy of Sciences 719, no. 1 The Aging Clo (1994): 136–45. http://dx.doi.org/10.1111/j.1749-6632.1994.tb56825.x.

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Haberman, Steven, and Arthur Renshaw. "Parametric mortality improvement rate modelling and projecting." Insurance: Mathematics and Economics 50, no. 3 (2012): 309–33. http://dx.doi.org/10.1016/j.insmatheco.2011.11.005.

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Mohammadi, Siavash, and Seyed Mahmood Kashefipour. "Numerical modelling of FC bacteria using a dynamic and variable mortality rate." Journal of Water, Sanitation and Hygiene for Development 10, no. 3 (2020): 569–79. http://dx.doi.org/10.2166/washdev.2020.088.

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Abstract Faecal coliform (FC) microorganisms are one of the most important indicators in water quality management, since their presence reveals the possibility of existence of other dangerous microorganisms, leading to higher health risks. An accurate estimate of the concentration of this indicator helps better evaluation of the water pollution in riverine basins; thus, it is essential for future developments. The FC mortality rate depends on the physical, chemical, and biological processes in rivers. These processes are generally affected by environmental conditions. In this study, the decay

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Jørgensen, Christian, and Øyvind Fiksen. "Modelling fishing-induced adaptations and consequences for natural mortality." Canadian Journal of Fisheries and Aquatic Sciences 67, no. 7 (2010): 1086–97. http://dx.doi.org/10.1139/f10-049.

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When trade-offs involving predation and mortality are perturbed by human activities, behaviour and life histories are expected to change, with consequences for natural mortality rates. We present a general life history model for fish in which three common relationships link natural mortality to life history traits and behaviour. First, survival increases with body size. Second, survival declines with growth rate due to risks involved with resource acquisition and allocation. Third, fish that invest heavily in reproduction suffer from decreased survival due to costly reproductive behaviour or m

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Prahutama, Alan, Budi Warsito, and MochAbdul Mukid. "Modelling Infant and Maternal Mortality Rate based on slum household uses Bivariate Spline Regression Method." E3S Web of Conferences 73 (2018): 12002. http://dx.doi.org/10.1051/e3sconf/20187312002.

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Maternal mortality and infant mortality rate is an interrelated issue. Therefore, maternal and infant mortality modeling can be done bivariate. One method used to model the relationship between response variables and predictor variables is regression. The regression approach that does not use the assumption is spline regression. Spline regression is a regression method based on spline function. Spline function is a polynomial piece that has high flexibility. In this study the response variable used is bivariate, the maternal mortality rate and infant mortality rate, while the predictor variabl

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Roa-Ureta, Ruben H. "Size-dependent mortality rate profiles." Journal of Theoretical Biology 402 (August 2016): 107–16. http://dx.doi.org/10.1016/j.jtbi.2016.05.012.

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Pitchaimani, M., and T. Eakin. "Unique estimation of Gompertz parameters with mortality deceleration rate." Mathematical and Computer Modelling 47, no. 1-2 (2008): 104–14. http://dx.doi.org/10.1016/j.mcm.2007.02.005.

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Prahutama, Alan, and Sudarno. "Modelling infant mortality rate in Central Java, Indonesia use generalized poisson regression method." Journal of Physics: Conference Series 1025 (May 2018): 012106. http://dx.doi.org/10.1088/1742-6596/1025/1/012106.

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Atkins, Katherine E., Andrew F. Read, Nicholas J. Savill, Katrin G. Renz, Stephen W. Walkden-Brown, and Mark EJ Woolhouse. "Modelling Marek's Disease Virus (MDV) infection: parameter estimates for mortality rate and infectiousness." BMC Veterinary Research 7, no. 1 (2011): 70. http://dx.doi.org/10.1186/1746-6148-7-70.

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Jackson, Dan, John Copas, and Alex J. Sutton. "Modelling reporting bias: the operative mortality rate for ruptured abdominal aortic aneurysm repair." Journal of the Royal Statistical Society: Series A (Statistics in Society) 168, no. 4 (2005): 737–52. http://dx.doi.org/10.1111/j.1467-985x.2005.00375.x.

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Dissertations / Theses on the topic "Modelling mortality rate"

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Salfeld, Thomas [Verfasser]. "Stochastic mortality modelling with cointegrated vector autoregressive processes and characterizations of logistic-type hazard rate distributions / Thomas Salfeld." Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2019. http://d-nb.info/1176105248/34.

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Straß, Belinda. "Comparison of prices of life insurances using different mortality rates models." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39911.

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Capturing mortality became a crucial modelling problem throughout the years due to the raising demand of life insurances and annuities. Fitting three models, namely, logistic, Heligman– Pollard HP4 and power–exponential model, to real life data shows that latter two models represent the actual data quite well. Pricing a term life insurance and a whole life annuity, implemented using the MATLAB software, based on these models ends in the result that the Heligmann–Pollard HP4 model is the less preferable model, in perspective of an insured, than the logistic or power–exponential ones.

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Herculano, Miguel Colburn. "Modelling long-term worker´s compensation : an application to a general insurance company." Master's thesis, Último nome, Primeiro nome. data de publicação. "Título". Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6043.

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Mestrado em Ciências Actuariais<br>This paper resumes the main findings from modeling life underwriting risks to which Worker´s Compensation is exposed. Models presented aim to shorten the path between ad hoc procedures in place and the new capital requirements foreseen by Solvency II. The legal framework of this line of business is primarily explained as it is determinant for modeling purposes. We then provide a discussion about risk models in use, major options, assumptions and other relevant issues that were regarded when modeling this line of business.

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Ramos, Anthony Kojo. "Forecasting Mortality Rates using the Weighted Hyndman-Ullah Method." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54711.

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The performance of three methods of mortality modelling and forecasting are compared. These include the basic Lee–Carter and two functional demographic models; the basic Hyndman–Ullah and the weighted Hyndman–Ullah. Using age-specific data from the Human Mortality Database of two developed countries, France and the UK (England&Wales), these methods are compared; through within-sample forecasting for the years 1999-2018. The weighted Hyndman–Ullah method is adjudged superior among the three methods through a comparison of mean forecast errors and qualitative inspection per the dataset of th

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Coelho, Rui Pedro Andrade. "Modelling catch and mortality rates of blue shark captured by the portugueses longline fleet in the Atlantic Ocean." Master's thesis, Universidade de Évora, 2013. http://hdl.handle.net/10174/16286.

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A tintureira (Prionace glauca) é um tubarão pelágico relativamente abundante e frequentemente capturado como espécie acessória em pescarias de palangre de superfície. Apesar dos parâmetros biológicos terem já sido relativamente bem estudados, os impactos das pescarias nestas populações são ainda bastante incertos. Assim, o presente estudo pretendeu criar e apresentar modelos para melhor avaliar os impactos da pescaria Portuguesa de palangre de superfície dirigida ao espadarte nas populações de tintureira. Especificamente, o trabalho apresenta modelos relativos à mortalidade durante a operação

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Rossmanith, Eva. "Breeding biology, mating system and population dynamics of the Lesser Spotted Woodepcker (Picoides minor) : combining empirical and model investigations." Phd thesis, Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2005/532/.

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The protection of species is one major focus in conservation biology. The basis for any management concept is the knowledge of the species autecology. In my thesis, I studied the life-history traits and population dynamics of the endangered Lesser Spotted Woodpecker (Picoides minor) in Central Europe. Here, I combine a range of approaches, from empirical investigations of a Lesser Spotted Woodpecker population in the Taunus low mountain range in Germany, the analysis of empirical data and the development of an individual-based stochastic model simulating the population dynamics.<br><br> In th

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Books on the topic "Modelling mortality rate"

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Richtering, Jürgen. Modelling fertility and mortality rates in the framework of a demographic-economic model. UNCTAD, 1986.

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Gelfand, Alan, and Sujit K. Sahu. Models for demography of plant populations. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.17.

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This article discusses the use of Bayesian analysis and methods to analyse the demography of plant populations, and more specifically to estimate the demographic rates of trees and how they respond to environmental variation. It examines data from individual (tree) measurements over an eighteen-year period, including diameter, crown area, maturation status, and survival, and from seed traps, which provide indirect information on fecundity. The multiple data sets are synthesized with a process model where each individual is represented by a multivariate state-space submodel for both continuous

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Faust, Lisa J., Claudine André, Raphaël Belais, et al. Bonobo population dynamics: Past patterns and future predictions for the Lola ya Bonobo population using demographic modelling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0018.

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Wildlife sanctuaries rescue, rehabilitate, reintroduce and provide life-long care for orphaned and injured animals. Understanding a sanctuary’s population dynamics—patterns in arrival, mortality and projected changes in population size—allows careful planning for future needs. Building on previous work on the population dynamics of chimpanzees (Pan troglodytes) in sanctuaries of the Pan African Sanctuary Alliance (PASA; Faust et al. 2011), this chapter extends analyses to the only PASA bonobo sanctuary. Its authors analysed historic demographic patterns and projected future population dynamics

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Book chapters on the topic "Modelling mortality rate"

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Ibrahim, Amira Mofreh, Nour El Hoda Mohamed Bishady, Samar Hassan Elghalban, Nagham Nessim Mostafa, Mohab Mohamed Eid, and Khaled Mohamed Abdelhamid. "Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford’s Stringency Index Model of Governmental Response in MATLAB." In Artificial Intelligence for COVID-19. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69744-0_25.

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Otto, Wojciech, and Jagoda Niemczynowicz. "Modelowanie dzietności: adaptacja modelu Lee–Cartera." In Modele w ekonomii. Księga jubileuszowa Profesora Wojciecha Maciejewskiego. University of Warsaw Press, 2020. http://dx.doi.org/10.31338/uw.9788323546375.pp.97-129.

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We present modified Lee–Carter models for modelling fertility. We analyse Polish Central Statistical Office data on total births by age of mothers in Poland from 1971 to 2018 and the age of mothers at the moment of giving birth to the first child in Poland from 1971 to 2017. Although Lee–Carter model was designed for mortality modelling and forecasting, we adapt it to highlight a direct relationship between the model parameters and the evolution of gross reproduction rate and the average age of giving birth to the first child, both in cross-sectional and cohort view.

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Carstensen, Bendix. "Parametrization and prediction of rates." In Epidemiology with R. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198841326.003.0007.

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This chapter provides an overview of parametrizing quantitative covariate effects, that is, describing how variables (covariates) influence the outcome variable, be that disease odds, rates, or some quantitative measurement. It begins by differentiating between predictions and contrasts. When reporting rate ratios between two groups or the odds ratio of a disease associated with a certain difference in exposure, one is using contrasts of the outcome variable between different values of a covariate to describe the effect. Thus, one uses ratios or differences. But when reporting the mortality rate in, say, 60-year-old males, one is making a prediction of the outcome. This requires a set of values for all covariates in a model. When describing the effects of covariates by a model, one normally uses a linear predictor. The chapter then discusses the prediction of a single rate; categorical variables; the task of modelling the effect of quantitative variables; quantitative predictors; and quantitative interactions.

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Iyyanki, Muralikrishna, Prisilla Jayanthi, and Valli Manickam. "Machine Learning for Health Data Analytics." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0182-5.ch010.

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At present, public health and population health are the key areas of major concern, and the current study highlights the significant challenges through a few case studies of application of machine learning for health data with focus on regression. Four types of machine learning methods found to be significant are supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. In light of the case studies reported as part of the literature survey and specific exercises carried out for this chapter, it is possible to say that machine learning provides new opportunities for automatic learning in expressive models. Regression models including multiple and multivariate regression are suitable for modeling air pollution and heart disease prediction. The applicability of STATA and R packages for multiple linear regression and predictive modelling for crude birth rate and crude mortality rate is well established in the study as carried out using the data from data.gov.in. Decision tree as a class of very powerful machine learning models is applied for brain tumors. In simple terms, machine learning and data mining techniques go hand-in-hand for prediction, data modelling, and decision making. The health analytics and unpredictable growth of health databases require integration of the conventional data analysis to be paired with methods for efficient computer-assisted analysis. In the second case study, confidence interval is evaluated. Here, the statistical parameter CI is used to indicate the true range of the mean of the crude birth rate and crude mortality rate computed from the observed data.

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Medhi, Jinu, Jintu Dutta, and Mohan Chandra Kalita. "Biomonitoring Ecosystem: Modelling Relationship with Arthropods." In Arthropods [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94313.

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Arthropods community structure and composition provides multiscale information about an environment health. Their reproduction and growth model are effective to assess the impact on ecosystem in response to stress such as anthropogenic activities (climate change) or natural (drought). Terrestrial and aquatic insects are potential bio-indicators. Terrestrial insects are an excellent model to assess the quality of terrestrial ecosystem. These insect species are assayed to detect metallic pollution and forest abundance. Soil and litter arthropods are used for examining soil quality. Honey bee mortality rates and the residues such as heavy metals, fungicides and herbicides presence in honey are good indicator of environmental pollution. The specificity of food and habitat selection by wasp population make it suitable for assessing habitat quality. Similarly butterflies habitat itself signifies a healthy ecosystem because of their sensitivity to even slightest change. Different arthropods act as keystone species and these keystone interactions also reveal many facets of an ecosystem quality. Similarly fly population such as Drosophila subobscura and their shift in the genetic composition indicate the global climate warming. The arthropods are explored as screening platform to understand the ecosystem resilience to disturbances. These underscores arthropods potential for evaluation of environmental impact and global climate change.

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Conference papers on the topic "Modelling mortality rate"

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Tiedemann, Kenneth H. "Modelling and Identification of the Determinants of the New Orleans Mortality Rate Due to Hurricane Katrina." In Modelling, Identification and Control / 827: Computational Intelligence. ACTAPRESS, 2015. http://dx.doi.org/10.2316/p.2015.826-027.

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Sundararaman, Arun, and Srinivasan Valady Ramanathan. "A novel approach to estimate Maternal Mortality Rate and its determinants by statistical modelling." In 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW). IEEE, 2016. http://dx.doi.org/10.1109/icdew.2016.7495623.

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Purwanto, Dr, Chikkannan Eswaran, and Rajasvaran Logeswaran. "A Comparison of ARIMA, Neural Network and Linear Regression Models for the Prediction of Infant Mortality Rate." In 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation. IEEE, 2010. http://dx.doi.org/10.1109/ams.2010.20.

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Moyle, Keri R., and Yiannis Ventikos. "Dynamic Remeshing for Fluid Structure Interaction: Application to Modelling Aortic Dissection." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-175989.

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Aortic dissection is an acute condition occurring more frequently than ruptured abdominal aortic aneurysms, with a mortality rate increase of 1% per hour if left untreated [1]. Dissection occurs following creation of an entrance tear, through which blood can force its way into the wall, forming a pocket that propagates longitudinally. The membrane of the dissection flap separates the true lumen (through which the organs are supplied with blood), from a false lumen (the pocket created by the dissection). The total obstruction of the true lumen by the motion of the vessel flap, or organ starvati

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Hillyar, C., A. Nibber, CE Jones, and MG Jones. "S1 Estimates of mortality rate and survival time to predict trends in future deaths for patients in England with laboratory-confirmed COVID-19: A modelling study." In British Thoracic Society Winter Meeting, Wednesday 17 to Friday 19 February 2021, Programme and Abstracts. BMJ Publishing Group Ltd and British Thoracic Society, 2021. http://dx.doi.org/10.1136/thorax-2020-btsabstracts.7.

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Sanchez-Delgado, Eduardo, Sonia de Paz-Cobo, and Juan Manuel Lopez-Zafra. "Mortality Rates Of Spanish Dependents: A Joint Correction Approach." In 23rd European Conference on Modelling and Simulation. ECMS, 2009. http://dx.doi.org/10.7148/2009-0505-0510.

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"Trends in rates of suicide by decedent age over time: United States mortality data, 1960-2007." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.a1.chen.

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Lau, K. D., G. Burriesci, and V. Díaz-Zuccarini. "Fluid-Structure Interaction Simulation of the Edge-to-Edge Repair of the Mitral Valve in Functional and Degenerative States." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80288.

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The most common dysfunction of the mitral valve (MV) is mitral valve regurgitation (MVR) which accounts for approximately 70% of native MV dysfunction [1]. During closure, abnormal amounts of retrograde flow enter the left atrium altering ventricular haemodynamics, an issue which can lead to cardiac related pathologies. MVR is caused by a variety of different mechanisms which are either degenerative (myxomatous degeneration) or functional (annular dilation or papillary muscle displacement) [2]. Correction of MVR is performed by repairing existing valve anatomy or replacement with a prosthetic

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Galvão, Neryvaldo, José Campos e Matos, Daniel V. Oliveira, and Carlos Santos. "Assessment of roadway bridges damaged by human errors using risk indicators and robustness index." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0236.

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<p>To the bridges failures that have been arising over the years, experts have pointed out as the main cause of failure, human errors, in the design, construction and operation phases. One of the main goals of this paper is the identification of the foremost causes of failure due to human errors in design and construction procedures. Therefore, a bridge failure database that includes several failure cases and a human errors survey will be used to support this line of work. After the identification of some explicit human errors that is believed to be the source of several reinforced concr

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