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Nonlinear impacts of climate change on dengue transmission in mainland China: Underlying mechanisms and future projection

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  • Zheng, Zhoumin
  • Xu, Nuo
  • Khan, Mohsin
  • Pedersen, Michael
  • Abdalgader, Tarteel
  • Zhang, Lai

Abstract

Dengue fever is a climate-sensitive health concern caused by mosquito-borne virus. Both temperature- and precipitation-related factors are important for dengue transmission. Previous studies mainly focused on the effects of individual factors on the spread of dengue. However, given the potential synergistic effects of temperature and precipitation on virus transmission, it is vital to provide a holistic view of their interplay in shaping the transmission patterns. In this study, utilizing a vectorial capacity (VC)-based mathematical model, we investigated the mechanisms by which the daily mean temperature (DMT), diurnal temperature range (DTR) and daily mean precipitation (DMP) jointly influence the dengue spread. We further forecast future dengue patterns in mainland China under different climate scenarios (Shared Socioeconomic Pathways (SSP)) by 2050 and 2080. Results show that these three climate factors trigger complex nonlinear effects on dengue transmission. Interactions between DMT and DTR plays a decisive role in determining the spreading fronts of dengue epidemics, while DMP considerably impacts its transmission intensity. Although future climate changes would facilitate northward expansion of areas at risk of dengue under SSP245 and SSP585, significant contraction would happen under SSP126. These findings illuminate the interacting mechanisms of temperature and precipitation on dengue transmission, call for the comprehensive considerations of DMT, DMP and DTR in formulating effective dengue control policies, and warrant achieving a sustainable future in line with the SSP126 scenario to effectively mitigate dengue transmission risks and ensure a resilient future.

Suggested Citation

  • Zheng, Zhoumin & Xu, Nuo & Khan, Mohsin & Pedersen, Michael & Abdalgader, Tarteel & Zhang, Lai, 2024. "Nonlinear impacts of climate change on dengue transmission in mainland China: Underlying mechanisms and future projection," Ecological Modelling, Elsevier, vol. 492(C).
  • Handle: RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024001224
    DOI: 10.1016/j.ecolmodel.2024.110734
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    1. Samir Bhatt & Peter W. Gething & Oliver J. Brady & Jane P. Messina & Andrew W. Farlow & Catherine L. Moyes & John M. Drake & John S. Brownstein & Anne G. Hoen & Osman Sankoh & Monica F. Myers & Dylan , 2013. "The global distribution and burden of dengue," Nature, Nature, vol. 496(7446), pages 504-507, April.
    2. Yujuan Yue & Xiaobo Liu & Dongsheng Ren & Haixia Wu & Qiyong Liu, 2021. "Spatial Dynamics of Dengue Fever in Mainland China, 2019," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    3. Kazi Mizanur Rahman & Yushuf Sharker & Reza Ali Rumi & Mahboob-Ul Islam Khan & Mohammad Sohel Shomik & Muhammad Waliur Rahman & Sk Masum Billah & Mahmudur Rahman & Peter Kim Streatfield & David Harley, 2020. "An Association between Rainy Days with Clinical Dengue Fever in Dhaka, Bangladesh: Findings from a Hospital Based Study," IJERPH, MDPI, vol. 17(24), pages 1-9, December.
    4. Lingcai Kong & Jinfeng Wang & Zhongjie Li & Shengjie Lai & Qiyong Liu & Haixia Wu & Weizhong Yang, 2018. "Modeling the Heterogeneity of Dengue Transmission in a City," IJERPH, MDPI, vol. 15(6), pages 1-21, May.
    5. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    6. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    7. Josef Zapletal & Madhav Erraguntla & Zach N Adelman & Kevin M Myles & Mark A Lawley, 2018. "Impacts of diurnal temperature and larval density on aquatic development of Aedes aegypti," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.
    8. Yujuan Yue & Qiyong Liu & Xiaobo Liu & Ning Zhao & Wenwu Yin, 2022. "Dengue Fever in Mainland China, 2005–2020: A Descriptive Analysis of Dengue Cases and Aedes Data," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
    9. PDNN Sirisena & Faseeha Noordeen & Harithra Kurukulasuriya & Thanuja ALAR Romesh & LakKumar Fernando, 2017. "Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    10. Annelise Tran & Grégory L'Ambert & Guillaume Lacour & Romain Benoît & Marie Demarchi & Myriam Cros & Priscilla Cailly & Mélaine Aubry-Kientz & Thomas Balenghien & Pauline Ezanno, 2013. "A Rainfall- and Temperature-Driven Abundance Model for Aedes albopictus Populations," IJERPH, MDPI, vol. 10(5), pages 1-22, April.
    11. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    12. Abdalgader, Tarteel & Banerjee, Malay & Zhang, Lai, 2022. "Spatially weak syncronization of spreading pattern between Aedes Albopictus and dengue fever," Ecological Modelling, Elsevier, vol. 473(C).
    13. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
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