THE VIDEO SHELF · wildlife trade and zoonotic disease
How wildlife trade is linked to coronavirus
A Vox explainer on how the wildlife trade and wet markets are linked to coronavirus and why new diseases keep emerging in China. It stresses that most people in China do not eat wildlife.
Why HN readers recommended it
HN commenters shared it during early 2020 as a clear explanation of wet markets and how human encroachment on wildlife drives outbreaks.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Vox
- Topic
- wildlife trade and zoonotic disease
- Format
- explainer
- Level
- general
- HN recommenders in dataset
- 5
- HN mentions in dataset
- 9
- Recommendation years in dataset
- 2020–2020
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
I highly suggest you this video [1] from Vox which explains why virus outbreaks (like SARS, Ebola etc) usually appear in wet markets, like the one in Wuhan. [1] [VIDEO]
jorge-d on Hacker News · 2020-03
In Pangolins found to carry viruses related to Covid-19Absolutely. The worst thing is that whenever these pandemics happen China does ban them but they a few months later they allow them to reopen. Do they think that the same thing won't happen again? Vox put out a pretty good video on wet markets …
Whatarethese on Hacker News · 2020-03
In Time to Ban Wet MarketsIt's not the same. Live ocean creatures are isolated from each other. They're stored in water-tight containers by necessity. By contrast, live land animals are stored in cages and often stacked on top of each other. Vox has a video explaining "Why new diseases keep …
slavik81 on Hacker News · 2020-03
In Time to Ban Wet Markets
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.