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[https://link.springer.com/book/10.1007/978-3-030-82890-5 computational epidemiology] <br> | [https://link.springer.com/book/10.1007/978-3-030-82890-5 computational epidemiology] <br> | ||
data-driven modeling of COVID-19 <br> | data-driven modeling of COVID-19 <br> | ||
| − | springer nature, 2021 <br> | + | springer nature, 2021 <br> <br> |
| − | if you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: this book is for you! <br> | + | if you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: this book is for you! it is a reflection on the role of data-driven modeling during the |
| + | COVID-19 pandemic, motivated by the curiosity to understand it. because science.<br> | ||
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Latest revision as of 17:27, 29 September 2021
[edit] new textbook!
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