We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Reduction in mobility and covid-19 transmission

Formal Metadata

Title
Reduction in mobility and covid-19 transmission
Subtitle
MOOD Science Webinar Feb 2021
Title of Series
Number of Parts
45
Author
Contributors
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language
Producer
Production Year2021
Production PlaceWageningen

Content Metadata

Subject Area
Genre
Abstract
Pierre Nouvellet is a quantitative biologist and epidemiologist focused on data science and modeling. He uses mathematical formalisation to resolve concrete ecological and epidemiological problems. Specifically, he develops statistical methods to estimate parameters within complex ecological settings by integrating various sources of information in order to better understand the dynamics of diseases’ transmission and mitigate their public health risk. Currently he is focused on examining vector-borne and zoonotic diseases, emerging diseases, and rapid response to outbreaks. Pierre’s presentation “Reduction in mobility and Covid-19 transmission” focuses on his team’s research (https://spiral.imperial.ac.uk/handle/10044/1/85559) in which they examine mobility data in order to analyze the relationship between transmission and mobility for 52 countries around the world.
Keywords