Transmission dynamics of the 2022 mpox epidemic in New York City

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 the United States. By performing phylogeographic analysis of MPXV genomes sampled from 757 individuals in NYC between April 2022 and April 2023, and 3,287 MPXV genomes sampled around the world, we identify over 200 introductions of MPXV into NYC with at least 84 leading to onward transmission. These infections primarily occurred among men who have sex with men, transgender women and nonbinary individuals. Through a comparative analysis with HIV in NYC, we find that both MPXV and HIV genomic cluster sizes are best fit by scale-free distributions, and that people in MPXV clusters are more likely to have previously received an HIV diagnosis and be a member of a recently growing HIV transmission cluster. We model MPXV transmission through sexual contact networks and show that highly connected individuals would be disproportionately infected at the start of an epidemic, which would likely result in the exhaustion of the most densely connected parts of the network, and, therefore, explain the rapid expansion and decline of the NYC outbreak. By coupling the genomic epidemiology of MPXV and HIV with epidemic modeling, we demonstrate that the transmission dynamics of MPXV in NYC can be understood by general principles of sexually transmitted pathogens.

Authors

Institutions

Publication Details

Journal
Nature Medicine
Published
2025-03-25
DOI
https://doi.org/10.1038/s41591-025-03526-9
Citations
14
Primary Topic
Poxvirus research and outbreaks
Type
article
Field-Weighted Citation Impact
13.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transmission dynamics of the 2022 mpox epidemic in New York City

Sarah Lomax Braunstein, Jade Wang, Enoma Omoregie, Philippe Lemey et al.
14 citations
Nature Medicine
Poxvirus research and outbreaks
13.47
article

Transmission dynamics of the 2022 mpox epidemic in New York City

Sarah Lomax Braunstein, Jade Wang, Enoma Omoregie, Philippe Lemey, Kimberly Johnson, Marc A. Suchard, Lucia V. Torian, Helly Amin, Tetyana I. Vasylyeva, Jonathan E. Pekar, Joel O. Wertheim, Scott Hughes, Faten Taki, Lisa A. Forgione, Preeti Pathela, Yu Wang, Yucai Shao, Tyler Clabby
article en
14 citations

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 the United States. By performing phylogeographic analysis of MPXV genomes sampled from 757 individuals in NYC between April 2022 and April 2023, and 3,287 MPXV genomes sampled around the world, we identify over 200 introductions of MPXV into NYC with at least 84 leading to onward transmission. These infections primarily occurred among men who have sex with men, transgender women and nonbinary individuals. Through a comparative analysis with HIV in NYC, we find that both MPXV and HIV genomic cluster sizes are best fit by scale-free distributions, and that people in MPXV clusters are more likely to have previously received an HIV diagnosis and be a member of a recently growing HIV transmission cluster. We model MPXV transmission through sexual contact networks and show that highly connected individuals would be disproportionately infected at the start of an epidemic, which would likely result in the exhaustion of the most densely connected parts of the network, and, therefore, explain the rapid expansion and decline of the NYC outbreak. By coupling the genomic epidemiology of MPXV and HIV with epidemic modeling, we demonstrate that the transmission dynamics of MPXV in NYC can be understood by general principles of sexually transmitted pathogens.

Nature MedicineVol. 31(5)
New York City Department of Health and Mental Hygiene (US), University of California, Los Angeles (US), University of California, Irvine (US), Rega Institute for Medical Research (BE), University of California San Diego (US), University of Edinburgh (GB), KU Leuven (BE)
Centers for Disease Control and Prevention, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 1%
Poxvirus research and outbreaks
13.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.