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 2 secs,
345.17 MB,
MPEG-4 Video
640x360,
25.0 fps,
44100 Hz,
961.11 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)
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| 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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