Dynamic landscape of mpox importation risks driven by heavy-tailed sexual contact networks among men who have sex with men in 2022.

depletion of susceptible global spread importation risk mpox sexual contact networks

Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
28 Aug 2024
Historique:
received: 14 02 2024
revised: 17 08 2024
accepted: 27 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 28 8 2024
Statut: aheadofprint

Résumé

During the 2022 global mpox outbreak, the cumulative number of countries reporting their first imported case quickly rose in the early phase, but the importation rate subsequently slowed down, leaving many countries reporting no cases by the 2022 year-end. We developed a mathematical model of international dissemination of mpox infections incorporating sexual networks and global mobility data. We used this model to characterize the mpox importation patterns observed in 2022 and to discuss the potential of further international spread. Our proposed model better explained the observed importation patterns than models not assuming heterogeneity in sexual contacts. Estimated importation hazards decreased in most countries, surpassing the global case count decline, suggesting a reduced per-case risk of importation. We assessed each country's potential to export mpox cases until the end of an epidemic, identifying countries capable of contributing to the future international spread. The accumulation of immunity among high-risk individuals over highly heterogeneous sexual networks may have contributed to the slowdown in the rate of mpox importations. Nevertheless, the existence of countries with the potential to contribute to the global spread of mpox highlights the importance of equitable resource access to prevent the global resurgence of mpox.

Sections du résumé

BACKGROUND BACKGROUND
During the 2022 global mpox outbreak, the cumulative number of countries reporting their first imported case quickly rose in the early phase, but the importation rate subsequently slowed down, leaving many countries reporting no cases by the 2022 year-end.
METHODS METHODS
We developed a mathematical model of international dissemination of mpox infections incorporating sexual networks and global mobility data. We used this model to characterize the mpox importation patterns observed in 2022 and to discuss the potential of further international spread.
RESULTS RESULTS
Our proposed model better explained the observed importation patterns than models not assuming heterogeneity in sexual contacts. Estimated importation hazards decreased in most countries, surpassing the global case count decline, suggesting a reduced per-case risk of importation. We assessed each country's potential to export mpox cases until the end of an epidemic, identifying countries capable of contributing to the future international spread.
CONCLUSIONS CONCLUSIONS
The accumulation of immunity among high-risk individuals over highly heterogeneous sexual networks may have contributed to the slowdown in the rate of mpox importations. Nevertheless, the existence of countries with the potential to contribute to the global spread of mpox highlights the importance of equitable resource access to prevent the global resurgence of mpox.

Identifiants

pubmed: 39193849
pii: 7742990
doi: 10.1093/infdis/jiae433
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Auteurs

Sung-Mok Jung (SM)

Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Fuminari Miura (F)

Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Center for Marine Environmental Studies (CMES), Ehime University, Ehime, Japan.

Hiroaki Murayama (H)

School of Medicine, International University of Health and Welfare, Narita, Japan.

Sebastian Funk (S)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.

Jacco Wallinga (J)

Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, the Netherlands.

Justin Lessler (J)

Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Akira Endo (A)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Classifications MeSH