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Journal articles on the topic 'Modelling mortality rate'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

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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2

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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3

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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5

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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6

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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Yakubu, A., L. Dahloum, A. J. Shoyombo, and U. M. Yahaya. "Modelling hatchability and mortality in muscovy ducks using automatic linear modelling and artificial neural network." Journal of the Indonesian Tropical Animal Agriculture 44, no. 1 (2019): 65. http://dx.doi.org/10.14710/jitaa.44.1.65-76.

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This study was embarked upon to predict hatchability and mortality rate of Muscovy ducks in Nasarawa State, Nigeria. Data were obtained from a total of 119 duck farmers. The automatic linear modelling (ALM) and artificial neural network (ANN) models were employed. The average flock size was 9.84±0.60 per household. The predicted hatchability mean values using ALM (8.66) and ANN (8.65) were similar to the observed value (8.66). The predicted mortality mean values using ALM (2.95) and ANN (3.03) were also similar to the observed value of 2.95. Experience in duck rearing, the educational status o

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12

Xiao, Yongshun. "Catch equations: calculating the instantaneous rate of fishing mortality from catch and back." Ecological Modelling 193, no. 3-4 (2006): 225–52. http://dx.doi.org/10.1016/j.ecolmodel.2005.08.034.

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13

Jalen, Luka, and Rogemar Mamon. "Valuation of contingent claims with mortality and interest rate risks." Mathematical and Computer Modelling 49, no. 9-10 (2009): 1893–904. http://dx.doi.org/10.1016/j.mcm.2008.10.014.

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14

Cáceres, Manuel O., and Iris Cáceres-Saez. "Calculating effective growth rate from a random Leslie model: Application to incidental mortality analysis." Ecological Modelling 251 (February 2013): 312–22. http://dx.doi.org/10.1016/j.ecolmodel.2012.12.021.

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15

Samuel Adeyinka, Femi. "On Modelling of Infant Mortality Rate in Nigeria with Exponentiated Cubic Transmuted Exponential Distribution." International Journal on Data Science and Technology 6, no. 1 (2020): 16. http://dx.doi.org/10.11648/j.ijdst.20200601.13.

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16

Sornette, Didier, Euan Mearns, Michael Schatz, Ke Wu, and Didier Darcet. "Interpreting, analysing and modelling COVID-19 mortality data." Nonlinear Dynamics 101, no. 3 (2020): 1751–76. http://dx.doi.org/10.1007/s11071-020-05966-z.

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Abstract We present results on the mortality statistics of the COVID-19 epidemic in a number of countries. Our data analysis suggests classifying countries in five groups, (1) Western countries, (2) East Block, (3) developed Southeast Asian countries, (4) Northern Hemisphere developing countries and (5) Southern Hemisphere countries. Comparing the number of deaths per million inhabitants, a pattern emerges in which the Western countries exhibit the largest mortality rate. Furthermore, comparing the running cumulative death tolls as the same level of outbreak progress in different countries rev

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Finkelstein, Maxim. "Aging: Damage accumulation versus increasing mortality rate." Mathematical Biosciences 207, no. 1 (2007): 104–12. http://dx.doi.org/10.1016/j.mbs.2006.09.007.

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Tarasenko, Anna, Oleksandr Karelin, Manuel Gonzalez Hernández, and Oleksandr Barabash. "Modelling of Systems with Elements in Several States." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 17 (April 15, 2021): 244–52. http://dx.doi.org/10.37394/232015.2021.17.25.

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In this paper, we consider systems with one resource, which can be in several states. The states differ significantly in their processes of mortality, reproduction and mutual influence. For instance, infected elements can have a higher mortality rate than healthy and recovered ones. For cyclic models, in which the initial state of the system coincides with the final state, balance relations are found. They represent a system with functional operators with shift and integrals with degenerate kernels. Modified Fredholm method, proposed in previous works to solve the integral equations of the sec

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19

Bottai, Matteo. "A regression method for modelling geometric rates." Statistical Methods in Medical Research 26, no. 6 (2015): 2700–2707. http://dx.doi.org/10.1177/0962280215606474.

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The occurrence of an event of interest over time is often summarized by the incidence rate, defined as the average number of events per person-time. This type of rate applies to events that may occur repeatedly over time on any given subject, such as infections, and Poisson regression represents a natural regression method for modelling the effect of covariates on it. However, for events that can occur only once, such as death, the geometric rate may be a better summary measure. The geometric rate has long been utilized in demography for studying the growth of populations and in finance to com

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20

Groot, Peter De, and Richard A. Fleming. "Analysis and modelling of cohort life tables of jack pine seed cones." Canadian Journal of Forest Research 24, no. 8 (1994): 1579–92. http://dx.doi.org/10.1139/x94-206.

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Life tables for jack pine (Pinusbanksiana Lamb.) seed cones were constructed for cohorts at three sites in northern Ontario from 1985–1987 to determine the causes and temporal sequence of mortality. Seed cone abortion and feeding by the red squirrel, Tamiasciurushudsonicus (Erxleben), accounted for 65–75% of mortality. Insects killed about 4% of the total cone crop. Losses from the jack pine budworm, Choristoneurapinuspinus Freeman, the webbing coneworm, Dioryctriadisclusa Heinrich, and the red pine cone borer, Eucosmamonitorana Heinrich, combined, accounted for about 1%, while the cone resin

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21

Cairns, Andrew J. G., David Blake, and Kevin Dowd. "Pricing Death: Frameworks for the Valuation and Securitization of Mortality Risk." ASTIN Bulletin 36, no. 01 (2006): 79–120. http://dx.doi.org/10.2143/ast.36.1.2014145.

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It is now widely accepted that stochastic mortality – the risk that aggregate mortality might differ from that anticipated – is an important risk factor in both life insurance and pensions. As such it affects how fair values, premium rates, and risk reserves are calculated.This paper makes use of the similarities between the force of mortality and interest rates to examine how we might model mortality risks and price mortality-related instruments using adaptations of the arbitrage-free pricing frameworks that have been developed for interest-rate derivatives. In so doing, the paper pulls toget

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Cairns, Andrew J. G., David Blake, and Kevin Dowd. "Pricing Death: Frameworks for the Valuation and Securitization of Mortality Risk." ASTIN Bulletin 36, no. 1 (2006): 79–120. http://dx.doi.org/10.1017/s0515036100014410.

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It is now widely accepted that stochastic mortality – the risk that aggregate mortality might differ from that anticipated – is an important risk factor in both life insurance and pensions. As such it affects how fair values, premium rates, and risk reserves are calculated.This paper makes use of the similarities between the force of mortality and interest rates to examine how we might model mortality risks and price mortality-related instruments using adaptations of the arbitrage-free pricing frameworks that have been developed for interest-rate derivatives. In so doing, the paper pulls toget

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23

Delbart, N., P. Ciais, J. Chave, N. Viovy, Y. Malhi, and T. Le Toan. "Mortality as a key driver of the spatial distribution of aboveground biomass in Amazonian forest: results from a dynamic vegetation model." Biogeosciences 7, no. 10 (2010): 3027–39. http://dx.doi.org/10.5194/bg-7-3027-2010.

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Abstract. Dynamic Vegetation Models (DVMs) simulate energy, water and carbon fluxes between the ecosystem and the atmosphere, between the vegetation and the soil, and between plant organs. They also estimate the potential biomass of a forest in equilibrium having grown under a given climate and atmospheric CO2 level. In this study, we evaluate the Above Ground Woody Biomass (AGWB) and the above ground woody Net Primary Productivity (NPPAGW) simulated by the DVM ORCHIDEE across Amazonian forests, by comparing the simulation results to a large set of ground measurements (220 sites for biomass, 1

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Delbart, N., P. Ciais, J. Chave, N. Viovy, Y. Malhi, and T. Le Toan. "Mortality as a key driver of the spatial distribution of aboveground biomass in Amazonian forests: results from a Dynamic Vegetation Model." Biogeosciences Discussions 7, no. 2 (2010): 3095–123. http://dx.doi.org/10.5194/bgd-7-3095-2010.

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Abstract. Dynamic Vegetation Models (DVMs) simulate energy, water and carbon fluxes between the ecosystem and the atmosphere, between the vegetation and the soil, and between plant organs. They also estimate the potential biomass of a forest in equilibrium having grown under a given climate and atmospheric CO2 level. In this study, we evaluate the above ground woody biomass (AGWB) and the above ground woody Net Primary Productivity (NPPAGW) simulated by the DVM ORCHIDEE across Amazonian forests, by comparing the simulation results to a large set of ground measurements (220 sites for biomass, 1

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25

La Torre, Davide, Danilo Liuzzi, and Simone Marsiglio. "The optimal population size under pollution and migration externalities: a spatial control approach." Mathematical Modelling of Natural Phenomena 14, no. 1 (2019): 104. http://dx.doi.org/10.1051/mmnp/2019004.

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We analyze the implications of pollution and migration externalities on the optimal population dynamics in a spatial setting. We focus on a framework in which pollution affects the mortality rate and decreases utility, while migration occurs within the spatial economy. Agents optimally determine their fertility rate which, along with pollution-induced mortality and spatial migration, determines the net population growth rate. This setting implies that human population follows an endogenous logistic-type dynamics where fertility choices determine what the optimal limit of human population will

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26

Mohren, G. M. J., and H. H. Bartelink. "Modelling the effects of needle mortality rate and needle area distribution on dry matter production of Douglas fir." Netherlands Journal of Agricultural Science 38, no. 1 (1990): 53–66. http://dx.doi.org/10.18174/njas.v38i1.16610.

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A physiological simulation model was used to analyse the effects of increased needle mortality rate and changes in needle area distribution (LAI) on primary production of a Douglas fir (Pseudotsuga menziesii) stand. Needle life-span, which may decrease as a result of air pollution and soil acidification, is an important aspect of forest decline. Results show that simulation models can be used to study the possible consequences of these phenomena in forest stands. The model quantified the relationship between total LAI and stand growth (taking into account different light distributions within t

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27

Caley, Peter, L. M. McElrea, and Jim Hone. "Mortality rates of feral ferrets (Mustela furo) in New Zealand." Wildlife Research 29, no. 4 (2002): 323. http://dx.doi.org/10.1071/wr02004.

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Life-table data from feral ferret populations in New Zealand were analysed to estimate their mortality rates, and to test for any additive effect of Mycobacterium bovis infection on observed mortality rates. The observed instantaneous mortality rate was best estimated by modelling mortality as a 2-phase step model with different rates for juveniles (μ1 = 1.45 year–1, 95% C.I. 1.2–1.7 year–1) and adults (μ2 = 0.55 year–1, 95% C.I. 0.4–0.9 year–1). This corresponds to a survival probability of 0.25 during the first year of life, rising to 0.55 year–1 thereafter, and a life expectancy of 0.95 yea

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28

Dadgar, Iman, and Thor Norström. "Is there a link between cardiovascular mortality and economic fluctuations?" Scandinavian Journal of Public Health 48, no. 7 (2020): 770–80. http://dx.doi.org/10.1177/1403494819890699.

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Background: Unemployment might affect several risk factors of cardiovascular disease (CVD), which is the leading cause of death globally. The characterisation of the relation between these two phenomena is thus of great significance from a public-health perspective. The main aim of this study was to estimate the association between the unemployment rate and mortality from CVD and from coronary heart disease (CHD). Additional aims were (a) to assess whether the associations are modified by the degree of unemployment protection; (b) to determine the impact of GDP on heart-disease mortality; and

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29

Prodovic, Tanja, Branko Ristic, Nemanja Rancic, Zoran Bukumiric, Stepanovic Zeljko, and Dragana Ignjatovic-Ristic. "Factors Influencing The Six-Month Mortality Rate In Patients With A Hip Fracture." Slovenian Journal of Public Health 55, no. 2 (2016): 112–17. http://dx.doi.org/10.1515/sjph-2016-0015.

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Abstract Background There are several potential risk factors in patients with a hip fracture for a higher rate of mortality that include: comorbid disorders, poor general health, age, male gender, poor mobility prior to injury, type of fracture, poor cognitive status, place of residence. The aim of this study was to assess the influence of potential risk factors for six-month mortality in hip fracture patients. Methods The study included all patients with a hip fracture older than 65 who had been admitted to the Clinic for orthopaedic surgery during one year. One hundred and ninety-two patient

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Sede, Peter Igbaudumhe. "Health Expenditure Targeting, Financial Protection and Maternal Mortality in Sub-Saharan Africa." SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 4, no. 3 (2020): 191. http://dx.doi.org/10.29259/sijdeb.v4i3.191-210.

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AbstractThe slow reduction in maternal mortality rate in Sub-Saharan Africa is a serious cause for policy concern. This has not only retained the sub region in the web of leading region in high rate of reproductive health challenges but spells signals of poverty and low economic growth. The study therefore, examined the efficacy of health expenditure targeting and financial protection in reducing maternal mortality in 44 Sub-Saharan Africa countries. The study adopts fixed effect panel data modelling technique. Results show that financial protection is correctly signed but not statistically si

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Murall, Carmen Lía, and Samuel Alizon. "Modelling the evolution of viral oncogenesis." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1773 (2019): 20180302. http://dx.doi.org/10.1098/rstb.2018.0302.

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Most human oncogenic viruses share several characteristics, such as being DNA viruses, having long (co)evolutionary histories with their hosts and causing either latent or chronic infections. They can reach high prevalences while causing relatively low case mortality, which makes them quite fit according to virulence evolution theory. After analysing the life histories of DNA oncoviruses, we use a mathematical modelling approach to investigate how the virus life cycle may generate selective pressures favouring or acting against oncogenesis at the within-host or at the between-host level. In pa

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32

Ebert, Thomas A. "Problems and puzzles in echinoderm demography." Revista de Biología Tropical 69, Suppl.1 (2021): 1–13. http://dx.doi.org/10.15517/rbt.v69isuppl.1.46318.

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Introduction: There are problems and puzzles in understanding reproduction, growth and mortality in echinoderm life cycles. Objective: Explore problems and puzzles in life cycles that are important and challenging. Methods: The literature is used to elucidate problems associated with all life stages. Results: Sources of larvae that settle at a site are explored using oceanographic modelling and genetic methods. There are few studies that have estimated larval mortality in the plankton under field conditions and results differ from experimental results or patterns of settlement. In a small numb

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33

Roychowdhury, Koel, and Simon Jones. "Nexus of Health and Development: Modelling Crude Birth Rate and Maternal Mortality Ratio Using Nighttime Satellite Images." ISPRS International Journal of Geo-Information 3, no. 2 (2014): 693–712. http://dx.doi.org/10.3390/ijgi3020693.

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34

Pope, John G., Jake C. Rice, Niels Daan, Simon Jennings, and Henrik Gislason. "Modelling an exploited marine fish community with 15 parameters – results from a simple size-based model." ICES Journal of Marine Science 63, no. 6 (2006): 1029–44. http://dx.doi.org/10.1016/j.icesjms.2006.04.015.

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Abstract To measure and predict the response of fish communities to exploitation, it is necessary to understand how the direct and indirect effects of fishing interact. Because fishing and predation are size-selective processes, the potential response can be explored with size-based models. We use a simulation approach to describe the relationship between size spectrum slope and overall fishing mortality and to try to understand how a linear spectrum might be maintained. The model uses 15 parameters to describe a 13-“species” fish community, where species are defined by their maximum body size

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35

Wu, Chaoqun, Danwei Zhang, Xueke Bai, et al. "Are medical record front page data suitable for risk adjustment in hospital performance measurement? Development and validation of a risk model of in-hospital mortality after acute myocardial infarction." BMJ Open 11, no. 4 (2021): e045053. http://dx.doi.org/10.1136/bmjopen-2020-045053.

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ObjectivesTo develop a model of in-hospital mortality using medical record front page (MRFP) data and assess its validity in case-mix standardisation by comparison with a model developed using the complete medical record data.DesignA nationally representative retrospective study.SettingRepresentative hospitals in China, covering 161 hospitals in modelling cohort and 156 hospitals in validation cohort.ParticipantsRepresentative patients admitted for acute myocardial infarction. 8370 patients in modelling cohort and 9704 patients in validation cohort.Primary outcome measuresIn-hospital mortality

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Valsamis, Epaminondas Markos, Henry Husband, and Gareth Ka-Wai Chan. "Segmented Linear Regression Modelling of Time-Series of Binary Variables in Healthcare." Computational and Mathematical Methods in Medicine 2019 (December 6, 2019): 1–7. http://dx.doi.org/10.1155/2019/3478598.

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Introduction. In healthcare, change is usually detected by statistical techniques comparing outcomes before and after an intervention. A common problem faced by researchers is distinguishing change due to secular trends from change due to an intervention. Interrupted time-series analysis has been shown to be effective in describing trends in retrospective time-series and in detecting change, but methods are often biased towards the point of the intervention. Binary outcomes are typically modelled by logistic regression where the log-odds of the binary event is expressed as a function of covari

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37

Mihalicza, Péter, György Csákány, and Miklós Szabó. "Igen kis súlyú vagy 32. gesztációs hétnél éretlenebb koraszülöttek halálozási mutatói Magyarországon a EuroHOPE kutatás tükrében." Orvosi Hetilap 157, no. 41 (2016): 1649–56. http://dx.doi.org/10.1556/650.2016.30586.

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Introduction: Care provision for very low birth weight and very low gestational age newborns requires high level clinical preparedness. Appropriate care and care management reduce mortality. Aim: To present Hungarian and international outcomes and local regional differences characterizing neonatal care in 2006–2008, based on the results of the EuroHOPE study. Method: Hungarian data were created by linking the obstetrics registry with the financing database of the Health Insurance Fund. Resulting from peculiarities of these databases and clinically justified exclusions, 3562 newborns were inclu

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Maclsaac, Hugh J., W. Gary Sprules, and J. H. Leach. "Ingestion of Small-Bodied Zooplankton by Zebra Mussels (Dreissena polymorpha): Can Cannibalism on Larvae Influence Population Dynamics?" Canadian Journal of Fisheries and Aquatic Sciences 48, no. 11 (1991): 2051–60. http://dx.doi.org/10.1139/f91-244.

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The zebra mussel Dreissena polymorpha established populations in western Lake Erie in 1986 and achieved densities exceeding 3.4 × 105 individuals∙m−2 during 1990. We assessed apparently incidental predation on Lake Erie and Erindale Pond zooplankton by adult mussels. Dreissena larvae and small rotifers (Polyarthra spp., Keratella spp., Trichocerca) sustained moderate to high predatory mortality whereas larger taxa (Bosmina, Scapholeberis) were invulnerable to predation. Larval Dreissena almost always sustain > 99% mortality in European lakes. While mortality has been ascribed primarily to l

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39

Pitchaimani, M., and T. Eakin. "Existence of Gompertz parameters with mortality deceleration rate and their asymptotic formulae for a large population." Mathematical and Computer Modelling 46, no. 11-12 (2007): 1477–86. http://dx.doi.org/10.1016/j.mcm.2007.02.009.

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40

Ducrot, Virginie, Alexandre R. R. Péry, and Laurent Lagadic. "Modelling effects of diquat under realistic exposure patterns in genetically differentiated populations of the gastropod Lymnaea stagnalis." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1557 (2010): 3485–94. http://dx.doi.org/10.1098/rstb.2010.0047.

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Pesticide use leads to complex exposure and response patterns in non-target aquatic species, so that the analysis of data from standard toxicity tests may result in unrealistic risk forecasts. Developing models that are able to capture such complexity from toxicity test data is thus a crucial issue for pesticide risk assessment. In this study, freshwater snails from two genetically differentiated populations of Lymnaea stagnalis were exposed to repeated acute applications of environmentally realistic concentrations of the herbicide diquat, from the embryo to the adult stage. Hatching rate, emb

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41

KIM, MI-YOUNG. "DISCONTINUOUS GALERKIN METHODS FOR THE LOTKA–MCKENDRICK EQUATION WITH FINITE LIFE-SPAN." Mathematical Models and Methods in Applied Sciences 16, no. 02 (2006): 161–76. http://dx.doi.org/10.1142/s0218202506001108.

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We consider a model of population dynamics whose mortality function is unbounded and the solution is not regular near the maximum age. A continuous-time discontinuous Galerkin method to approximate the solution is described and analyzed. Our results show that the scheme is convergent, in L∞(L2) norm, at the rate of r + 1/2 away from the maximum age and that it is convergent at the rate of l - 1/(2q) + α/2 in L2(L2) norm, near the maximum age, if u ∈ L2(Wl,2q), where q ≥ 1, 1/2 ≤ l ≤ r + 1, r is the degree of the polynomial of the approximation space, and α is the growth rate of the mortality f

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42

Polacheck, Tom, J. Paige Eveson, Geoff M. Laslett, Kenneth H. Pollock, and William S. Hearn. "Integrating catch-at-age and multiyear tagging data: a combined Brownie and Petersen estimation approach in a fishery context." Canadian Journal of Fisheries and Aquatic Sciences 63, no. 3 (2006): 534–48. http://dx.doi.org/10.1139/f05-232.

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A comprehensive framework for modelling data from multiyear tagging experiments in a fishery context is presented that incorporates catch data into the traditional Brownie tagrecapture model. Incorporation of catch data not only allows for improved estimation of natural and fishing mortality rates, but also for direct estimation of population size at the time of tagging. These are the primary quantities required to be estimated in stock assessments having an approach for directly estimating them that does not require catch rates provides a potentially powerful alternative for augmenting tra

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Olalude, Gbenga A., Hammed A. Olayinka, and Oluwadare O. Ojo. "Health expenditure in sub-Saharan Africa: Is it mean reversion? A Fourier unit root test approach." Wiadomości Statystyczne. The Polish Statistician 66, no. 4 (2021): 25–44. http://dx.doi.org/10.5604/01.3001.0014.8324.

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The aim of the paper is to examine the mean reversion in health expenditure of 45 sub-Saharan African countries. The series on current health expenditure (percent of GDP in total), obtained from the World Development Indicators, each spanned the years 2000–2017. We employed the Fourier unit root test, which allows modelling structural breaks, to deal with any such breaks that could arise as a result of a small sample size (18 years) of data available on health expenditure of the selected countries. The results showed evidence of mean reversion in the health spending pattern of 27 sub-Saharan A

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METCALF, C. J. E., P. KLEPAC, M. FERRARI, R. F. GRAIS, A. DJIBO, and B. T. GRENFELL. "Modelling the first dose of measles vaccination: the role of maternal immunity, demographic factors, and delivery systems." Epidemiology and Infection 139, no. 2 (2010): 265–74. http://dx.doi.org/10.1017/s0950268810001329.

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SUMMARYMeasles vaccine efficacy is higher at 12 months than 9 months because of maternal immunity, but delaying vaccination exposes the children most vulnerable to measles mortality to infection. We explored how this trade-off changes as a function of regionally varying epidemiological drivers, e.g. demography, transmission seasonality, and vaccination coverage. High birth rates and low coverage both favour early vaccination, and initiating vaccination at 9–11 months, then switching to 12–14 months can reduce case numbers. Overall however, increasing the age-window of vaccination decreases cas

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Jabłoński, Jȩdrzej, and Dariusz Wrzosek. "Measure-valued solutions to size-structured population model of prey controlled by optimally foraging predator harvester." Mathematical Models and Methods in Applied Sciences 29, no. 09 (2019): 1657–89. http://dx.doi.org/10.1142/s0218202519500313.

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Radon-measure-valued solutions to a size structured population model of the McKendrick–von Foerster-type are analytically studied under general assumptions on individuals’ growth, birth and mortality rates. The model is used to describe changes in size structure of zooplankton when prey size-dependent mortality rate is a consequence of a planktivorous fish foraging in low prey-density environment (commonly found in predator-controlled populations). The model of foraging is based on the optimization of the rate of net energy intake as a function of predator speed. Mortality is defined as an ope

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Y. A. Amer, Ahmed, Julie Vranken, Femke Wouters, et al. "Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements." Applied Sciences 9, no. 17 (2019): 3525. http://dx.doi.org/10.3390/app9173525.

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Mortality prediction for intensive care unit (ICU) patients is a challenging problem that requires extracting discriminative and informative features. This study presents a proof of concept for exploring features that can provide clinical insight. Through a feature engineering approach, it is attempted to improve ICU mortality prediction in field conditions with low frequently measured data (i.e., hourly to bi-hourly). Features are explored by investigating the vital signs measurements of ICU patients, labelled with mortality or survival at discharge. The vital signs of interest in this study

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HIRSCH, H. R., X. LIU, and T. M. WITTEN. "Mortality-rate Crossovers and Maximum Lifespan in Advantaged and Disadvantaged Populations: Accelerated-mortality and Sudden-death Models." Journal of Theoretical Biology 205, no. 2 (2000): 171–80. http://dx.doi.org/10.1006/jtbi.2000.2063.

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Cowen, Laura, Stephen John Walsh, Carl James Schwarz, Noel Cadigan, and Joanne Morgan. "Estimating exploitation rates of migrating yellowtail flounder (Limanda ferruginea) using multistate mark–recapture methods incorporating tag loss and variable reporting rates." Canadian Journal of Fisheries and Aquatic Sciences 66, no. 8 (2009): 1245–55. http://dx.doi.org/10.1139/f09-082.

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Multistate mark–recapture models can be used to model migration through stratification of the study area into states (location). However, the incorporation of both tag loss and reporting rates is new to the multistate paradigm. We develop a migration model for fish that incorporates tag loss and reporting rates but has as its primary purpose the modelling of exploitation and natural mortality rates. This model is applied to a 2000–2004 yellowtail flounder ( Limanda ferruginea ) tagging study on the Grand Bank of Newfoundland, Canada. We found that exploitation rates varied over both location a

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Ronget, Victor, Jean-François Lemaître, Morgane Tidière, and Jean-Michel Gaillard. "Assessing the Diversity of the Form of Age-Specific Changes in Adult Mortality from Captive Mammalian Populations." Diversity 12, no. 9 (2020): 354. http://dx.doi.org/10.3390/d12090354.

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Actuarial senescence (i.e., the age-specific increase in mortality rate) is pervasive across mammalian species, but our current understanding of the diversity of forms that actuarial senescence displays across species remains limited. Although several mathematical models have been proposed to model actuarial senescence, there is still no consensus on which model to use, especially when comparing mortality patterns among species. To fill this knowledge gap, we fitted and compared different forms of increase using models commonly used in senescence studies (i.e., Gompertz, Weibull, and logistic)

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Davis, Timothy M. E., S. A. Paul Chubb, and Wendy A. Davis. "The relationship between estimated glomerular filtration rate trajectory and all-cause mortality in type 2 diabetes: the Fremantle Diabetes Study." European Journal of Endocrinology 175, no. 4 (2016): 273–85. http://dx.doi.org/10.1530/eje-16-0327.

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Objective To investigate the association between estimated GFR (eGFR) and all-cause mortality, including the contribution of temporal eGFR changes, in well-characterised community-based patients with type 2 diabetes. Design Longitudinal observational study. Methods Participants from the Fremantle Diabetes Study Phase 1 were assessed between 1993 and 1996 and followed until end-December 2012. Cox proportional hazards modelling was used to assess the relationship between baseline eGFR category (Stage 1–5) and all-cause death, and between eGFR trajectories assigned by semiparametric group-based m

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