A mathematical model for understanding and controlling monkeypox transmission dynamics in the United States and its implications for future epidemic management
Md. Azmir Ibne Islam, M H M Mubassir, Arindam Kumar Paul, Sharmin, Sultana Shanta

TL;DR
This paper presents a modified logistic growth model to analyze monkeypox transmission in the US, emphasizing the importance of combined non-pharmaceutical interventions in controlling short-term outbreaks.
Contribution
It introduces a new mathematical model incorporating control strategies for transmission reduction, providing insights into their effectiveness during the 2022 US monkeypox outbreak.
Findings
Preventive measures significantly reduce infection cases.
Simultaneous implementation of controls yields better outcomes.
Continuous strategies are vital for short-term outbreak prevention.
Abstract
Background: Although the outbreak of human monkeypox (mpox) caused by the monkeypox virus (MPXV) has slowed down around the world, little is known about the short-term dynamics of this disease. This limited information highlights the critical need to assess the underlying interventions. Method: To identify and re-examine the key pattern of the disease, a modified logistic growth model is presented and analysed in this paper. Our main focus is on the two non-pharmaceutical interventions: policies aimed at reducing human-to-human transmission and animal-to-human transmission. We incorporated these two strategies in the model as control parameters to understand their short-term significance on the epidemic, and to analyse their strengths in minimizing the infected cases. We used mpox data set of the United States from 10 May 2022 to 31 December 2022 in the model and estimated the baseline…
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Taxonomy
TopicsPoxvirus research and outbreaks · Viral Infections and Outbreaks Research · Zoonotic diseases and public health
