Mathematical Models of Influenza: The Role of Cross-Immunity, Quarantine and Age-Structure

Author(s):  
M. Nuño ◽  
C. Castillo-Chavez ◽  
Z. Feng ◽  
M. Martcheva
Author(s):  
Carrie Figdor

Many people accept that chimpanzees, dolphins, and some other animals can think and feel. But these cases are just the tip of a growing iceberg. If biologists are right, fruit flies and plants make decisions, worms and honeybees can be trained, bacteria communicate linguistically, and neurons have preferences. Just how far does cognition go? This book is the first to critically consider this question from the perspective of the entire range of new ascriptions of psychological capacities throughout biology. It is also the first to consider the role of mathematical models and other quantitative forms of evidence in prompting and supporting the new ascriptions. It defends a default literal interpretation of psychological terms across biological domains. It also considers the implications of the literal view for efforts to explain the mind’s place in nature and for traditional ways of distinguishing the superior moral status of humans relative to other living beings.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ahmed S. Elgazzar

Abstract The novel COVID-19 pandemic is a current, major global health threat. Up till now, there is no fully approved pharmacological treatment or a vaccine. Also, its origin is still mysterious. In this study, simple mathematical models were employed to examine the dynamics of transmission and control of COVID-19 taking into consideration social distancing and community awareness. Both situations of homogeneous and nonhomogeneous population were considered. Based on the calculations, a sufficient degree of social distancing based on its reproductive ratio is found to be effective in controlling COVID-19, even in the absence of a vaccine. With a vaccine, social distancing minimizes the sufficient vaccination rate to control the disease. Community awareness also has a great impact in eradicating the virus transmission. The model is simulated on small-world networks and the role of social distancing in controlling the infection is explained.


2016 ◽  
Vol 87 (9) ◽  
pp. 675-675
Author(s):  
Nabil Abdalla ◽  
Joanna Winiarek ◽  
Agnieszka Timorek ◽  
Wlodzimierz Sawicki ◽  
Krzysztof Cendrowski

2021 ◽  
Vol 18 (174) ◽  
pp. 20200660
Author(s):  
Hanliang Guo ◽  
Yi Man ◽  
Kirsty Y. Wan ◽  
Eva Kanso

Beating flagella exhibit a variety of synchronization modes. This synchrony has long been attributed to hydrodynamic coupling between the flagella. However, recent work with flagellated algae indicates that a mechanism internal to the cell, through the contractile fibres connecting the flagella basal bodies, must be at play to actively modulate flagellar synchrony. Exactly how basal coupling mediates flagellar coordination remains unclear. Here, we examine the role of basal coupling in the synchronization of the model biflagellate Chlamydomonas reinhardtii using a series of mathematical models of decreasing levels of complexity. We report that basal coupling is sufficient to achieve inphase, antiphase and bistable synchrony, even in the absence of hydrodynamic coupling and flagellar compliance. These modes can be reached by modulating the activity level of the individual flagella or the strength of the basal coupling. We observe a slip mode when allowing for differential flagellar activity, just as in experiments with live cells. We introduce a dimensionless ratio of flagellar activity to basal coupling that is predictive of the mode of synchrony. This ratio allows us to query biological parameters which are not yet directly measurable experimentally. Our work shows a concrete route for cells to actively control the synchronization of their flagella.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dhananjay Kumar ◽  
Nitin Bisht ◽  
Indrajeet Kumar

PurposeThis study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.Design/methodology/approachThis study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.FindingsThe authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.Research limitations/implicationsThe study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.Originality/valueEarlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.


Author(s):  
N. Anbazhagan

Supply Chain Management (SCM) is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Different supply chains have been designed for a variety of firms and this chapter discusses some issues in this regard. This chapter attempts to find why we require different supply chain for different companies. In this chapter we discuss the role of stochastic models in supply chain management system, and also discuss other mathematical models for SCM.


Materials contained in plastic packages can transfer (migrate) into the contents. In some circumstances, such as packages of food, drink or medicine, the consequences of this migration can be unpleasant or even harmful. Many countries, and the European Community, have adopted legal regulations designed to limit the amount of migration. It is shown, partly by discussing one example in some detail, that certain quantitative criteria in such regulations are unsatisfactory. The reasons include ( a ) improper recognition of the importance of package geometry, ( b ) invalid assumptions about a correspondence between concentrations in the contents and mass transfer per unit area of the package-contents interface and ( c ) failure to account, in an adequate manner, for the inevitable variability between nominally identical package systems. The principal theme of the paper is that these faults could have been, and can be, substantially ameliorated by proper use of mathematical models. Common shortcomings in the previous (but very limited) use of mathematics are exposed partly by detailed examination of a recent research paper. The paper discusses the requirements of a successful model and considers the simplest type, namely diffusion equations with diffusion coefficients that are independent of the concentrations of the migrant in either the plastic or the contents. Particular solutions are chosen to illustrate faults in existing legislation and practice, and because they are thought to be good candidates for testing against data. It is argued that future experiments would be more successful and more useful if they were planned and conducted in teams involving mathematicians.


2020 ◽  
Vol 117 (18) ◽  
pp. 9696-9698 ◽  
Author(s):  
Jennifer Beam Dowd ◽  
Liliana Andriano ◽  
David M. Brazel ◽  
Valentina Rotondi ◽  
Per Block ◽  
...  

Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs.


1983 ◽  
Vol 50 (4b) ◽  
pp. 1021-1032 ◽  
Author(s):  
P. J. Holmes ◽  
F. C. Moon

We review several examples of nonlinear mechanical and electrical systems and related mathematical models that display chaotic dynamics or strange attractors. Some simple mathematical models — iterated piecewise linear mappings — are introduced to explain and illustrate the concepts of sensitive dependence on initial conditions and chaos. In particular, we describe the role of homoclinic orbits and the horseshoe map in the generation of chaos, and indicate how the existence of such features can be detected in specific nonlinear differential equations.


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