Resources
Some codes and notes that may be useful to others.
Tools
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TODO list: My own customized version of the Todo.txt utility which allows you to keep track of your todo list directly from the terminal.
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Reminders Bot: A simple Telegram bot that sends you reminders at scheduled times. I use it to remind my students about deadlines.
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Memes Bot: A Telegram bot that sends random memes (images) that I use in our Computational Physics class.
Data
- Hospital networks: networks used in the paper Assessing the risk of spatial spreading of diseases in hospitals
Coding
C
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COVID-19 modelling: code for the baseline scenario from the paper Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 and Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas.
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Economy & COVID-19: code for the epidemic(C)-economic(Python) model used in the paper The unequal effects of the health-economy tradeoff during the COVID-19 pandemic.
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SIR model on a network with Gillespie algorithm: quick and dirty code to perform simulations of the SIR model on a network using Gillespie algorithm. Use at your own risk!
Python
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Hospitalization dynamics: code used in the paper Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference
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Transfer Entropy & Epidemics: code used in the paper Informational approach to uncover the age group interactions in epidemic spreading from macro analysis
R
- ggplot2 scripts: R scripts used to make the plots of my Thesis. Check out the examples!
Thesis
- Here you can find my Thesis in bookdown format:
- If you are interested in the link between physics and networks, check out Chapters 1 and 2.
- In Chapter 3 I gave a brief overview of the history of epidemic modeling. It might be useful to introduce new students to this world.
- The last chapter contains my boldest works, Pokémon and Forocoches!