Tools and Practices for Addressing Pandemic Challenges
Learn data-driven approaches and best practices for managing pandemics and mitigating their impacts.
Learn data-driven approaches and best practices for managing pandemics and mitigating their impacts.
This multidisciplinary course provides an overview of tools, techniques, and practices for monitoring, managing, and responding to pandemics. It covers data science, social science, healthcare, and management aspects of pandemic challenges. The course focuses on data-driven approaches, health-related solutions, and social work during pandemics. It's designed to equip policymakers, organizations, and individuals with knowledge to make informed decisions and implement effective strategies during global health crises.
Instructors:
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What you'll learn
Understand how to use data for informed decision-making during pandemics
Learn best practices for addressing pandemic challenges
Explore crowdsourcing and gamification techniques for data collection
Understand the application of artificial intelligence in healthcare during crises
Gain insights into pandemic preparedness, prevention, and response strategies
Learn about the One Health approach and its role in managing pandemics
Skills you'll gain
This course includes:
60 Minutes PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive overview of tools and practices for addressing pandemic challenges. It covers data-driven approaches to pandemic management, including crowdsourcing, gamification, and artificial intelligence in healthcare. The curriculum also explores pandemic preparedness, prevention, and response strategies, emphasizing the One Health approach and territorial response strengthening. Additionally, the course addresses social work aspects during and after a pandemic, including vaccine policymaking and mental health considerations.
Introduction
Module 1 · 4 Minutes to complete
Data-driven Approaches to Pandemics
Module 2 · 1 Hours to complete
Pandemic preparedness, prevention, and response
Module 3 · 1 Hours to complete
Social work during and after a pandemic
Module 4 · 42 Minutes to complete
Conclusions
Module 5 · 1 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Professor at Politecnico di Milano Specializing in Data Science and Software Modeling
Marco Brambilla is a full professor at Politecnico di Milano, where he engages in research and innovation across both industrial and academic spheres. His research interests encompass a wide range of topics including data science, software modeling languages, design patterns, crowdsourcing, social media monitoring, and big data analysis. Marco has held visiting researcher positions at CISCO in San José and the University of California, San Diego, as well as serving as a visiting professor at Dauphine University in Paris. He is the founder of Fluxedo, a startup focused on social media analysis and engagement, and WebRatio, which specializes in software modeling tools for we
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.