7/7 Check out our paper, "Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data," now out in @natcomms.nature.com #BehavioralEpidemiology www.nature.com/articles/s41...
6/7 Why are we excited? We believe our method helps bridge the gap between broad epidemic data & detailed local observations. It's a simple tool to monitor local awareness without privacy concerns, which could be invaluable for future pandemic responses. #GenomicEpidemiology #NetworkScience
Event Containment Scores computed biweekly with a 4-week sliding window in the UK for the Delta, Omicron BA.1 and BA.2 variants.
5/7 And the most intriguing part? In the UK—where we had the richest genetic data—we saw a similar decrease in event containment during the Omicron BA.1 wave. Just like in the Hungarian survey.
4/7 How robust is our Event Containment Score (ECS)?
- Simulations confirm positive ECS strongly indicates local awareness behavior.
- Our ECS scores correlated with policy stringency (Oxford CHI) in Europe during COVID-19.
We think it's a solid proxy!
(a) Bar plot showing the weekly number of SARS-CoV-2 genetic sequences collected in Belgium and (b) temporal evolution of seven identified collision clusters in Belgium.
3/7 To measure how local awareness shaped epidemic dynamics, we developed a new method using mutation patterns in SARS-CoV-2 sequences. We identified superspreading events and introduced the Event Containment Score as a proxy.
The blue curve shows the mean willingness to engage in awareness behavior (in the survey, on a scale of 1-5), suggesting the lowest local response during the biggest COVID wave.
2/7 Surprisingly, our Hungarian survey showed the lowest local response during the biggest COVID wave (Omicron BA.1). This made us wonder: Did the same pattern happen in other countries? And did it impact the epidemic dynamics?
New paper in @natcomms.nature.com! With @martonkarsai.bsky.social, we studied how people respond to local outbreaks—using surveys—and how these reactions shaped the spread of COVID-19, as seen in genetic data. www.nature.com/articles/s41...
7/7 Check out our paper, "Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data," now out in @NatureComms. #BehavioralEpidemiology www.nature.com/articles/s41...
6/7 Why are we excited? We believe our method helps bridge the gap between broad epidemic data & detailed local observations. It's a simple tool to monitor local awareness without privacy concerns, which could be invaluable for future pandemic responses. #GenomicEpidemiology #NetworkScience
Event Containment Scores computed biweekly with a 4-week sliding window in the UK for the Delta, Omicron BA.1 and BA.2 variants.
5/7 And the most intriguing part? In the UK—where we had the richest genetic data—we saw a similar decrease in event containment during the Omicron BA.1 wave. Just like in the Hungarian survey.
4/7 How robust is our Event Containment Score (ECS)?
- Simulations confirm positive ECS strongly indicates local awareness behavior.
- Our ECS scores correlated with policy stringency (Oxford CHI) in Europe during COVID-19.
We think it's a solid proxy!
a) Bar plot showing the weekly number of SARS-CoV-2 genetic sequences collected in Belgium and (b) temporal evolution of seven identified genetic collision clusters in Belgium.
3/7 To measure how local awareness shaped epidemic dynamics, we developed a new method using mutation patterns in SARS-CoV-2 sequences. We identified superspreading events and introduced the Event Containment Score as a proxy.
The blue curve shows the mean willingness to engage in local awareness behavior (on a scale of 1-5), suggesting the lowest local response during the biggest COVID wave in Hungary.
2/7 Surprisingly, our Hungarian survey showed the lowest local response during the biggest COVID wave (Omicron BA.1). This made us wonder: Did the same pattern happen in other countries? And did it impact the epidemic dynamics?
Check out our paper, "Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data," now out in @NatureComms. #BehavioralEpidemiology www.nature.com/articles/s41...
Why are we excited? We believe our method helps bridge the gap between broad epidemic data & detailed local observations. It's a simple tool to monitor local awareness without privacy concerns, which could be invaluable for future pandemic responses. #GenomicEpidemiology #NetworkScience
And the most intriguing part? In the UK—where we had the richest genetic data—we saw a similar decrease in event containment during the Omicron BA.1 wave. Just like in the Hungarian survey.
How robust is our Event Containment Score (ECS)?
- Simulations confirm positive ECS strongly indicates local awareness behavior.
- Our ECS scores correlated with policy stringency (Oxford CHI) in Europe during COVID-19. We think it's a solid proxy!
To measure how local awareness shaped epidemic dynamics, we developed a new method using mutation patterns in SARS-CoV-2 sequences. We identified superspreading events and introduced the Event Containment Score as a proxy.
Surprisingly, our Hungarian survey showed the lowest local response during the biggest COVID wave (Omicron BA.1). This made us wonder: Did the same pattern happen in other countries? And did it impact the epidemic dynamics?
One week left for submitting to Data Stories! Here are three more posters on Plays vs. Movies, Taylor Swift and NBA to spark your ideas ⚡ See you there!
🏹 Submit your poster or register to attend: networkdatascience.ceu.edu/data-stories
@ceu-dnds.bsky.social
#DataStories11 #DataViz #CEU #Vienna
Data Stories Promotional Poster.
Data Stories is back! 🎉
Does your research tell a story through data? Share it with us! 👀
🗓️ Submit your visualizations by April 30:
networkdatascience.ceu.edu/data-stories
Join us May 20 at CEU Vienna (or online!) to celebrate the power of data viz.
#DataStories11 #DataViz #CEU
Happy to announce our new paper in PRR on a very surprising phenomenon about how different motivations to engage in preventive behavior can affect the outcome of an epidemic! Great collaboration with @csegokolok, @danielkelliger and @martonkarsai.bsky.social journals.aps.org/prresearch/a...
New paper alert! Check it out if you want to know more about the distinguishability of simple and complex contagion processes at the individual level! Great collaboration with @elsaandres @gregodor @iaciac.bsky.social. www.nature.com/articles/s44...