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Updated: May 26, 2026

A Multiplex Serological Assay for the Detection of Antibody Responses to Arboviruses

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A Comprehensive Comparison of Transition Point Detection Methods for Monkeypox - Africa, 2024-2025.

Mengshou Wang¹, Zibin Yu¹, Ling Yin²

¹School of Mathematics, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.

China CDC Weekly

|May 25, 2026

Summary

This summary is machine-generated.

This study evaluated methods to detect mpox transmission turning points using data from the Democratic Republic of the Congo. Findings offer guidance for mpox outbreak response and resource allocation.

Keywords:

Epidemic control Epidemic forecasting Transition point detection mpox

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Area of Science:

Epidemiology
Mathematical Modeling
Public Health

Background:

The global mpox outbreak since May 2022 poses a significant public health challenge.
Recent mpox resurgences have been observed in several African nations, notably the Democratic Republic of the Congo (DRC).

Purpose of the Study:

To develop and evaluate compartmental and network-based models for detecting transition points in mpox transmission.
To provide theoretical guidance for mpox epidemic response and resource allocation.

Main Methods:

Utilized epidemiological data from the DRC for model development.
Applied four distinct methods for transition point detection in mpox transmission.
Systematically and quantitatively evaluated the strengths and limitations of each detection method.

Main Results:

Confirmed the applicability of four transition point detection methods for mpox transmission.
Provided a quantitative assessment of the performance of each evaluated method.
Demonstrated the utility of modeling approaches in understanding epidemic dynamics.

Conclusions:

The study offers valuable theoretical guidance for identifying critical transition points in mpox outbreaks.
Findings support the rational allocation of public health resources during mpox epidemics.
Highlights the importance of robust modeling in public health surveillance and response.