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Understanding Complex Biological Systems with Mathematics

Overview of attention for book
Understanding Complex Biological Systems with Mathematics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Searching for Superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models
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    Chapter 2 How Disease Risks Can Impact the Evolution of Social Behaviors and Emergent Population Organization
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    Chapter 3 Mathematical Analysis of the Impact of Social Structure on Ectoparasite Load in Allogrooming Populations
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    Chapter 4 Modeling the Argasid Tick (Ornithodoros moubata) Life Cycle
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    Chapter 5 A Mathematical Model for Tumor–Immune Dynamics in Multiple Myeloma
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    Chapter 6 Fluid Dynamics of Nematocyst Prey Capture
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    Chapter 7 Simulations of the Vascular Network Growth Process for Studying Placenta Structure and Function Associated with Autism
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    Chapter 8 Placental Vessel Extraction with Shearlets, Laplacian Eigenmaps, and a Conditional Generative Adversarial Network
Attention for Chapter 1: Searching for Superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models
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Chapter title
Searching for Superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models
Chapter number 1
Book title
Understanding Complex Biological Systems with Mathematics
Published in
2018, October 2018
DOI 10.1007/978-3-319-98083-6_1
Book ISBNs
978-3-31-998082-9, 978-3-31-998083-6
Authors

Christina J. Edholm, Blessing O. Emerenini, Anarina L. Murillo, Omar Saucedo, Nika Shakiba, Xueying Wang, Linda J. S. Allen, Angela Peace, Edholm, Christina J., Emerenini, Blessing O., Murillo, Anarina L., Saucedo, Omar, Shakiba, Nika, Wang, Xueying, Allen, Linda J. S., Peace, Angela

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 30%
Student > Ph. D. Student 2 20%
Other 1 10%
Student > Master 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Mathematics 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Medicine and Dentistry 2 20%
Unknown 3 30%