Life’s Algorithms: Decoding Viruses, Epidemics, and Survival with Mathematics
- Life Algorithms Mathematical Biology Epidemic Modeling
- Categories:Popular Science
- Language:Spanish(Translation Services Available)
- Publication Place:Spain
- Publication date:September,2025
- Pages:392
- Retail Price:27.00 EUR
- Size:150mm×240mm
- Text Color:(Unknown)
- Words:(Unknown)
Request for Review Sample
Through our website, you are submitting the application for you to evaluate the book. If it is approved, you may read the electronic edition of this book online.
Special Note:
The submission of this request means you agree to inquire the books through RIGHTOL,
and undertakes, within 18 months, not to inquire the books through any other third party,
including but not limited to authors, publishers and other rights agencies.
Otherwise we have right to terminate your use of Rights Online and our cooperation,
as well as require a penalty of no less than 1000 US Dollars.
Feature
★With mathematics as the core tool, it connects biology and epidemiology knowledge, answers key questions such as viral transmission and immune mechanism, helps readers understand the connection between mathematics and life sciences, and grasp the laws behind epidemics.
★Combining her experience in COVID-19 data research, she explains professional concepts such as exponential functions and statistical models in a clear and understandable way, balancing scientific rigor and readability. It is suitable for readers interested in life sciences and mathematical applications.
Description
Why can mathematical models that predict telecommunications network traffic also be used to understand the spread of epidemics? Why is a viral strain 70% more contagious more dangerous than one 70% more lethal? How can our immune system recognize 10 million different patterns? Why do we share more genes with viruses than with other primates? Why can some bacteria “eat stones” while we can only obtain nutrients from other living organisms? What is the connection between viruses and exponential functions?
Mª Teresa Herrero, a professional engineer specializing in complex systems, uses rigorous mathematical thinking to unravel the hidden laws behind epidemics: the exponential functions that turn a single case into a global crisis, the statistical models that predict the behavior of entire populations, and the equations that reveal how viral mutations can change the course of history.
Having participated in COVID-19 data research, she combines precise analytical capabilities with the clear expression of an excellent popular science writer. In this book, she reveals how mathematics and biology work together to explain the operating logic of life and diseases, from viral mutations to transmission networks. Because on this overpopulated and highly interconnected planet, only by understanding these numbers can we be prepared for the next epidemic.
At this moment, as you read these lines, your immune system is fighting at least 8 different viruses without your knowledge. An army of specialized cells patrols your body, distinguishing between the 1 million beneficial bacteria necessary for your survival and the invaders that could harm you. This is the most sophisticated battle in the universe, yet it takes place in the invisible microscopic world.
Author
Her career spans multiple fields: intelligent network service design, technology research and development, network planning, and network intelligence. During her more than 10-year tenure at Telefónica España, she served as Director of Network Strategy and Management, designing predictive models to guide the company’s network deployment and investment decisions.
During the COVID-19 pandemic, she used her data analysis knowledge to study the spread trends and characteristics of the epidemic, analyzing incidence rates, viral strain evolution, vaccination status, and hospitalization rates in Spain and other parts of the world. This experience allowed her to combine her passion for biology and complexity theory with the analytical and modeling capabilities developed throughout her career.
Currently, she is pursuing a PhD in Economics at the National University of Distance Education (UNED) in Spain, with her doctoral thesis focusing on the evolution of the telecommunications market and demand heterogeneity, using complex systems tools. Her research results on epidemics and networks have been published in popular science articles and shared at academic forums and professional conferences, and this book is the first time she has compiled these research results into a book.





