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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/infectious-disease-modeling-in-practice
课程评论：没有评论
课程名称：传染病建模实践 概述：数学建模作为一种越来越广泛的工具，能够帮助理解传染病传播并为公共卫生决策提供指引。本课程深入介绍了数学建模在多种疾病和情境中的实际应用。我们将探讨传染病模型的基本原理，如何针对特定疾病和研究问题调整模型，以及不同模型的重要假设。课程还将讨论数据如何影响模型的构建和结果。 课程大纲： 1. 传染病传播模型构建基础 - 描述：学习传染病模型的基本构建原则和核心概念。 2. 从疫情数据推导传染病传播率 - 描述：探讨如何利用疫情发生的数据推断病毒的传播率。 3. 传染病的预测：预测与情景投影 - 描述：研究如何进行传染病的预测及不同情景的模拟与展望。 此课程适合希望深入了解数学建模在公共卫生中的应用及其实际操作的学习者。
Name:The Basics of Building Infectious Disease Transmission Models
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Name:Inferring Infectious Disease Transmission Rates from Outbreak Data
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Name:Prediction of Infectious Disease: Forecasting and Scenario Projection
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Mathematical modeling is an increasingly widespread tool for understanding infectious disease transmission and informing public health decision making. This course provides an in depth overview of the practical uses of mathematical modeling for a range of diseases and scenarios. We cover the basic principles of infectious disease models, how models are adapted to be specific to the disease and question of interest, and important assumptions of different models. We will discuss how data informs m
