Trend of <i>Aedes aegypti</i> LCC values in various cities in China under the SSP126, SSP370, and SSP585 for the 2030s, 2060s, and 2090s.

<p>Note: The base map of China (including the national boundary and coastline) was obtained from the Standard Map Service of the Ministry of Natural Resources of the People’s Republic of China (<a href="http://bzdt.ch.mnr.gov.cn/" target="_blank">http://bzdt.ch.mnr.go...

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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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Trend of <i>Aedes aegypti</i> LCC values in various cities in China under the SSP126, SSP370, and SSP585 for the 2030s, 2060s, and 2090s.

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