Transmission dynamics of the 2022 mpox epidemic in New York City
Nature Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 25, 2025
Abstract
The
2022
global
mpox
epidemic
was
caused
by
transmission
of
MPXV
clade
IIb,
lineage
B.1
through
sexual
contact
networks,
with
New
York
City
(NYC)
experiencing
the
first
and
largest
outbreak
in
United
States.
By
performing
phylogeographic
analysis
genomes
sampled
from
757
individuals
NYC
between
April
2023,
3,287
around
world,
we
identify
over
200
introductions
into
at
least
84
leading
to
onward
transmission.
These
infections
primarily
occurred
among
men
who
have
sex
men,
transgender
women
nonbinary
individuals.
Through
a
comparative
HIV
NYC,
find
that
both
genomic
cluster
sizes
are
best
fit
scale-free
distributions,
people
clusters
more
likely
previously
received
an
diagnosis
be
member
recently
growing
cluster.
We
model
networks
show
highly
connected
would
disproportionately
infected
start
epidemic,
which
result
exhaustion
most
densely
parts
network,
and,
therefore,
explain
rapid
expansion
decline
outbreak.
coupling
epidemiology
modeling,
demonstrate
dynamics
can
understood
general
principles
sexually
transmitted
pathogens.
Language: Английский
Genomic epidemiology reveals 2022 mpox epidemic in New York City governed by heavy-tailed sexual contact networks
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 1, 2024
Abstract
The
global
mpox
epidemic
in
2022
was
likely
caused
by
transmission
of
virus
(MPXV)
through
sexual
contact
networks,
with
New
York
City
(NYC)
experiencing
the
first
and
largest
outbreak
United
States.
By
performing
a
phylogeographic
epidemiological
analysis
MPXV,
we
identify
at
least
200
introductions
MPXV
into
NYC
84
leading
to
onward
transmission.
Through
comparative
human
immunodeficiency
(HIV)
NYC,
find
that
both
HIV
genomic
cluster
sizes
are
best
fit
scale-free
distributions
people
clusters
more
have
previously
received
an
diagnosis
(odds
ratio=1.58;
p
=0.012)
be
member
recently
growing
cluster,
indicating
overlapping
networks.
We
then
model
networks
show
highly
connected
individuals
would
disproportionately
infected
start
epidemic,
thereby
resulting
exhaustion
most
densely
parts
network.
This
dynamic
explains
rapid
expansion
decline
outbreak,
as
well
estimated
cumulative
incidence
less
than
2%
within
high-risk
populations.
synthesizing
epidemiology
modeling,
demonstrate
dynamics
can
understood
general
principles
sexually
transmitted
pathogens.
Language: Английский