Model-projected changes in the average daily dengue cases from July to December for the years 2030, 2060, and 2090 under the SSP126, SSP370, and SSP585 across six cities.

Model-projected changes in the average daily dengue cases from July to December for the years 2030, 2060, and 2090 under the SSP126, SSP370, and SSP585 across six cities.

<p>Note: Y-axis scales vary across subplots to optimize visualization of city-specific trends.</p>

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Bibliographic Details
Main Author:	Ziyue Zhou (10139696) (author)
Other Authors:	Guanhao He (9287618) (author), Jianxiong Hu (7546772) (author), Guodong Li (1525873) (author), Hepeng Pan (22648015) (author), Yayi Li (1937917) (author), Siwen Yu (9548357) (author), Zhiqing Chen (552906) (author), Wenjun Ma (151952) (author), Guanghu Zhu (3172968) (author), Tao Liu (10785) (author)
Published:	2025
Subjects:	Neuroscience Ecology Cancer Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified thereby significantly elevating six representative cities peak abundance shifting lengthened active seasons aedes aegypti </ disease whose transmission dynamical mathematical model dengue fever epidemic dengue transmission risk dengue transmission dengue fever phenological model dengue incidence systematic projections strongly dependent ssps ). spatiotemporal expansion severe risks seasonal patterns seasonal activity projections enhance primary vector predict outbreaks population dynamics peaking later november ). mosquito ’ informing proactive humid climates generational turnover fueled development fourth quarters emission future developmental rate cycle completion climate warming climate change assessed life approximately 90 0 ),
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