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Updated: Aug 6, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Anticipating the transmissibility of the 2022 mpox outbreak
Tuoyu Liu1, Shan Yang1, Boyu Luo1
1State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Abstract:
An ongoing outbreak of monkeypox virus (MPXV) was first reported in the United Kingdom on 6 May 2022. As of 17 November, there had been a total of 80 221 confirmed MPXV cases in over 110 countries. Based on data reported between 6 May and 30 June 2022 in the United Kingdom, Spain, and Germany, we applied a deep learning approach using convolutional neural networks to evaluate the parameters of the 2022 MPXV outbreak. The basic reproduction number (R0 ) of MPXV was estimated to be 2.32 in the United Kingdom, which indicates the active diffusion of MPXV since the beginning of the outbreak. The data from Spain and Germany produced higher median R0 values of 2.42 and 2.88, respectively. Importantly, the estimated R0 of MPXV in the three countries tends to the previously calculated R0 of smallpox (3.50 to 6.00). Furthermore, the incubation (1/ε) and infectious (1/γ) period was predicted between 9 and 10 days and 4-5 days, respectively. The R0 value derived from MPXV is consistent with the significantly increasing number of cases, indicating the risk of a rapid spread of MPXV worldwide, which would provide important insights for the prevention and control of MPXV epidemic.
Insights
The 2022 monkeypox virus (MPXV) outbreak showed a basic reproduction number (R0) between 2.32 and 2.88, indicating rapid global spread. MPXV R0 values approach those of smallpox, highlighting epidemic potential.
Area of Science:
- Epidemiology
- Infectious Diseases
- Computational Biology
Background:
- The 2022 monkeypox virus (MPXV) outbreak emerged globally in May 2022.
- Over 80,000 cases were confirmed across 110+ countries by November 2022.
- Understanding MPXV transmission dynamics is crucial for public health interventions.
Purpose of the Study:
- To evaluate key epidemiological parameters of the 2022 MPXV outbreak.
- To estimate the basic reproduction number (R0) using deep learning models.
- To compare MPXV R0 with historical smallpox data.
Main Methods:
- Applied a deep learning approach utilizing convolutional neural networks.
- Analyzed MPXV case data from the United Kingdom, Spain, and Germany (May-June 2022).
- Estimated the basic reproduction number (R0), incubation period, and infectious period.
Main Results:
- MPXV R0 estimates were 2.32 (UK), 2.42 (Spain), and 2.88 (Germany).
- MPXV R0 values are approaching those of smallpox (3.50-6.00).
- Predicted incubation period of 9-10 days and infectious period of 4-5 days.
Conclusions:
- The estimated R0 indicates active MPXV diffusion and potential for rapid worldwide spread.
- Findings provide critical insights for MPXV epidemic prevention and control strategies.
- The study underscores the importance of ongoing surveillance and containment measures.
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