Hospitalized peak values evaluated from dynamics modeled at fixed population fraction of risk-deniers.

Hospitalized peak values evaluated from dynamics modeled at fixed population fraction of risk-deniers.

<p>a-b: <i>α</i> = 0.1, c-d: <i>α</i> = 0.9. Left panels show peak of hospitalized patients, right panels show peak of hospitalized patients evaluated with respect to the one estimated at <i>α</i> = 0.0, as percentage increase.</p> <p>(TIFF)</...

Full description

Saved in:
Bibliographic Details
Main Author: Valeria d’Andrea (12095838) (author)
Other Authors: Riccardo Gallotti (3297858) (author), Nicola Castaldo (12095841) (author), Manlio De Domenico (626037) (author)
Published: 2022
Subjects:
Medicine
Neuroscience
Biotechnology
Cancer
Infectious Diseases
Mathematical Sciences not elsewhere classified
world contact patterns
modeling study grounds
individual behavioral changes
everyone correctly perceive
empirical contact patterns
compliant individual behaviors
19 &# 8212
sharing epidemiological features
network features typical
real contact patterns
decreasing population fractions
individual risk perception
one &# 8221
disease &# 8212
perceived epidemic risk
&# 8220
features increase
180 real
population fraction
hospitalized population
infectious risk
xlink ">
social contacts
realistic scenarios
mitigation rules
mathematical model
lower peaks
higher modularity
fixed fraction
extensive large
explicitly takes
epidemic spreading
entangled processes
effectively manage
denier individuals
control measures
addressed together
account non
000 respondents
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items