Insights from novel primary data on the Qatar SARS-CoV-2 epidemic: reinfection, infection severity and fatality rates, and herd immunity - Speaker - Laith Jamal Abu Raddad
49 mins 5 secs,
89.81 MB,
MP3
44100 Hz,
249.8 kbits/sec
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About this item
Description: |
Jamal Abu Raddad, L
Monday 2nd November 2020 - 13:45 to 14:30 |
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Created: | 2020-11-03 13:28 |
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Collection: | Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics |
Publisher: | Isaac Newton Institute |
Copyright: | Jamal Abu Raddad, L |
Language: | eng (English) |
Distribution: | World (downloadable) |
Explicit content: | No |
Aspect Ratio: | 16:9 |
Screencast: | No |
Bumper: | UCS Default |
Trailer: | UCS Default |
Abstract: | Qatar has experienced one of the most intense SARS-CoV-2 epidemics with >55,000 laboratory-confirmed infections per million population. The country’s robust investment in epidemiology research and primary data collection allowed the conduct of a series of studies that yielded novel and influential data on this infection. In this presentation, an overview of the insights learned about SARS-CoV-2 epidemiology will be provided with a focus on epidemic dynamics, reinfection, infection severity and fatality rates, and herd immunity. |
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MPEG-4 Video | 640x360 | 961.11 kbits/sec | 345.17 MB | View | Download | |
WebM | 640x360 | 384.16 kbits/sec | 138.01 MB | View | Download | |
iPod Video | 480x270 | 479.33 kbits/sec | 172.14 MB | View | Download | |
MP3 * | 44100 Hz | 249.8 kbits/sec | 89.81 MB | Listen | Download | |
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