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An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China

BACKGROUND AND AIM: Dengue fever, transmitted by Aedes mosquitoes, is a significant public health concern in tropical and subtropical regions. With the end of the COVID-19 pandemic and the reopening of the borders, dengue fever remains a threat to mainland China, Zhejiang province of China is facing...

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Autores principales: Zhang, Yaxing, Wang, Lei, Wang, Guozhen, Xu, Jiabao, Zhang, Tianxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351185/
https://www.ncbi.nlm.nih.gov/pubmed/37461015
http://dx.doi.org/10.1186/s12879-023-08444-0
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author Zhang, Yaxing
Wang, Lei
Wang, Guozhen
Xu, Jiabao
Zhang, Tianxing
author_facet Zhang, Yaxing
Wang, Lei
Wang, Guozhen
Xu, Jiabao
Zhang, Tianxing
author_sort Zhang, Yaxing
collection PubMed
description BACKGROUND AND AIM: Dengue fever, transmitted by Aedes mosquitoes, is a significant public health concern in tropical and subtropical regions. With the end of the COVID-19 pandemic and the reopening of the borders, dengue fever remains a threat to mainland China, Zhejiang province of China is facing a huge risk of importing the dengue virus. This study aims to analyze and predict the current and future potential risk regions for Aedes vectors distribution and dengue prevalence in Zhejiang province of China. METHOD: We collected occurrence records of DENV and DENV vectors globally from 2010 to 2022, along with historical and future climate data and human population density data. In order to predict the probability of DENV distribution in Zhejiang province of China under future conditions, the ecological niche of Ae. aegypti and Ae. albopictus was first performed with historical climate data based on MaxEnt. Then, predicted results along with a set of bioclimatic variables, elevation and human population density were included in MaxEnt model to analyze the risk region of DENV in Zhejiang province. Finally, the established model was utilized to predict the spatial pattern of DENV risk in the current and future scenarios in Zhejiang province of China. RESULTS: Our findings indicated that approximately 89.2% (90,805.6 KM(2)) of Zhejiang province of China is under risk, within about 8.0% (8,144 KM(2)) classified as high risk area for DENV prevalence. Ae. albopictus were identified as the primary factor influencing the distribution of DENV. Future predictions suggest that sustainable and “green” development pathways may increase the risk of DENV prevalence in Zhejiang province of China. Conversely, Fossil-fueled development pathways may reduce the risk due to the unsuitable environment for vectors. CONCLUSIONS: The implications of this research highlight the need for effective vector control measures, community engagement, health education, and environmental initiatives to mitigate the potential spread of dengue fever in high-risk regions of Zhejiang province of China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08444-0.
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spelling pubmed-103511852023-07-18 An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China Zhang, Yaxing Wang, Lei Wang, Guozhen Xu, Jiabao Zhang, Tianxing BMC Infect Dis Research BACKGROUND AND AIM: Dengue fever, transmitted by Aedes mosquitoes, is a significant public health concern in tropical and subtropical regions. With the end of the COVID-19 pandemic and the reopening of the borders, dengue fever remains a threat to mainland China, Zhejiang province of China is facing a huge risk of importing the dengue virus. This study aims to analyze and predict the current and future potential risk regions for Aedes vectors distribution and dengue prevalence in Zhejiang province of China. METHOD: We collected occurrence records of DENV and DENV vectors globally from 2010 to 2022, along with historical and future climate data and human population density data. In order to predict the probability of DENV distribution in Zhejiang province of China under future conditions, the ecological niche of Ae. aegypti and Ae. albopictus was first performed with historical climate data based on MaxEnt. Then, predicted results along with a set of bioclimatic variables, elevation and human population density were included in MaxEnt model to analyze the risk region of DENV in Zhejiang province. Finally, the established model was utilized to predict the spatial pattern of DENV risk in the current and future scenarios in Zhejiang province of China. RESULTS: Our findings indicated that approximately 89.2% (90,805.6 KM(2)) of Zhejiang province of China is under risk, within about 8.0% (8,144 KM(2)) classified as high risk area for DENV prevalence. Ae. albopictus were identified as the primary factor influencing the distribution of DENV. Future predictions suggest that sustainable and “green” development pathways may increase the risk of DENV prevalence in Zhejiang province of China. Conversely, Fossil-fueled development pathways may reduce the risk due to the unsuitable environment for vectors. CONCLUSIONS: The implications of this research highlight the need for effective vector control measures, community engagement, health education, and environmental initiatives to mitigate the potential spread of dengue fever in high-risk regions of Zhejiang province of China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08444-0. BioMed Central 2023-07-17 /pmc/articles/PMC10351185/ /pubmed/37461015 http://dx.doi.org/10.1186/s12879-023-08444-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Yaxing
Wang, Lei
Wang, Guozhen
Xu, Jiabao
Zhang, Tianxing
An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title_full An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title_fullStr An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title_full_unstemmed An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title_short An ecological assessment of the potential pandemic threat of Dengue Virus in Zhejiang province of China
title_sort ecological assessment of the potential pandemic threat of dengue virus in zhejiang province of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351185/
https://www.ncbi.nlm.nih.gov/pubmed/37461015
http://dx.doi.org/10.1186/s12879-023-08444-0
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