Dengue transmission dynamics in China’s border regions adjacent to Myanmar

BACKGROUND: Dengue fever is a major mosquito-borne disease that is spreading rapidly from endemic regions to previously low-incidence regions. The regions at the interface between Southeast Asia and China represent critical hotspots for the cross-border and subsequent local transmission of dengue fever. In this study, a cross-population transmission model was constructed to characterize the transmission dynamics in China's border regions adjacent to Myanmar. METHODS: ). RESULTS: From 2014 to 2023, a total of 10,180 dengue cases were documented across two China's border prefectures adjacent to Myanmar, 83.1% of which were locally acquired infections. There were 7,893 cases reported in DH (906 international imports, 6,961 local) and 2,287 cases reported in LC (717 international imports, 1,497 local). Transmission exhibited pronounced seasonality, peaking between July and November, and a strong temporal correlation between imported and local cases was observed. By using a dynamic transmission model incorporating mosquito vertical transmission, we achieved statistically significant model fits (P < 0.001) and quantified temporal changes in transmissibility. During the rising phases of the outbreak, the overall transmissibility consistently exceeded 1. Analysis of directional transmission revealed a marked temporal shift: human-to-mosquito transmissibility was predominant in earlier outbreak years (2017: 1-5 in DH, 10-15 in LC), whereas mosquito-to-human transmissibility has increased substantially in recent years (2023: 5-15 in DH, 10-20 in LC). Sensitivity analyses demonstrated that while overall transmissibility estimates remained robust across different initial mosquito population assumptions, the directional transmission components were sensitive to the ratio of exposed to infected mosquitoes, reflecting the inherent identifiability challenges of the model in the absence of entomological surveillance data. CONCLUSIONS: Our findings reveal the dengue transmission dynamics in China's border regions adjacent to Myanmar over the 2014-2023 study period. Our results underscore the necessity of integrating entomological monitoring with case-based surveillance and support enhanced cross-border coordination for effective outbreak prevention in high-risk frontier zones.

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Publication Details

Journal
Infectious Diseases of Poverty
Published
2026-04-07
DOI
https://doi.org/10.1186/s40249-026-01440-x
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

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article

Dengue transmission dynamics in China’s border regions adjacent to Myanmar

Chunhai Luo, Yanshu Ke, Hongning Zhou, Bingbing Wang et al.
Infectious Diseases of Poverty
Mosquito-borne diseases and control
article

Dengue transmission dynamics in China’s border regions adjacent to Myanmar

Chunhai Luo, Yanshu Ke, Hongning Zhou, Bingbing Wang, Fang Xie, Hongjie Wei, Qiuping Chen, Jiahui Li, Hong Liu, Jia Rui, Tianmu Chen
article en

Abstract

BACKGROUND: Dengue fever is a major mosquito-borne disease that is spreading rapidly from endemic regions to previously low-incidence regions. The regions at the interface between Southeast Asia and China represent critical hotspots for the cross-border and subsequent local transmission of dengue fever. In this study, a cross-population transmission model was constructed to characterize the transmission dynamics in China's border regions adjacent to Myanmar. METHODS: ). RESULTS: From 2014 to 2023, a total of 10,180 dengue cases were documented across two China's border prefectures adjacent to Myanmar, 83.1% of which were locally acquired infections. There were 7,893 cases reported in DH (906 international imports, 6,961 local) and 2,287 cases reported in LC (717 international imports, 1,497 local). Transmission exhibited pronounced seasonality, peaking between July and November, and a strong temporal correlation between imported and local cases was observed. By using a dynamic transmission model incorporating mosquito vertical transmission, we achieved statistically significant model fits (P < 0.001) and quantified temporal changes in transmissibility. During the rising phases of the outbreak, the overall transmissibility consistently exceeded 1. Analysis of directional transmission revealed a marked temporal shift: human-to-mosquito transmissibility was predominant in earlier outbreak years (2017: 1-5 in DH, 10-15 in LC), whereas mosquito-to-human transmissibility has increased substantially in recent years (2023: 5-15 in DH, 10-20 in LC). Sensitivity analyses demonstrated that while overall transmissibility estimates remained robust across different initial mosquito population assumptions, the directional transmission components were sensitive to the ratio of exposed to infected mosquitoes, reflecting the inherent identifiability challenges of the model in the absence of entomological surveillance data. CONCLUSIONS: Our findings reveal the dengue transmission dynamics in China's border regions adjacent to Myanmar over the 2014-2023 study period. Our results underscore the necessity of integrating entomological monitoring with case-based surveillance and support enhanced cross-border coordination for effective outbreak prevention in high-risk frontier zones.

Infectious Diseases of PovertyVol. 15(1)
Macau University of Science and Technology (MO), Central South University (CN), Xiamen University (CN), University of Macau (MO), Yunnan Institute of Parasitic Diseases (CN)
National Natural Science Foundation of China, Central South University, Chinese Center for Disease Control and Prevention, National Key Research and Development Program of China
Openalex Percentile: Top 27%
Mosquito-borne diseases and control
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