Fig 1.
The number of SFTS cases in Zhejiang Province from 2011 to 2022. A, the annual number of SFTS cases, incidence rate, and case fatality rate; B, the monthly case count of SFTS; C, the number of cases of SFTS in various cities; D, the number of cases of SFTS in various cities in different years.
Fig 2.
Spatial Distribution Change Map of Cases of SFTS in Zhejiang Province from 2011 to 2022.
The base layer of the map is from DataV.GeoAtlas, a website providing standard maps that are approved for public use and are in compliance with the national standards for map representation (http://datav.aliyun.com/portal/school/atlas/area_selector#&lat=31.769817845138945&lng=104.29901249999999&zoom=4).
Fig 3.
LISA cluster map of local autocorrelation analysis of SFTS in Zhejiang Province from 2011 to 2022.
The base layer of the map is from DataV.GeoAtlas, a website providing standard maps that are approved for public use and are in compliance with the national standards for map representation(http://datav.aliyun.com/portal/school/atlas/area_selector#&lat=31.769817845138945&lng=104.29901249999999&zoom=4).
Table 1.
Results of the boosted regression trees applied to the occurrence of SFTS data.
Fig 4.
Relationship between risk factors and SFTS risk.
BIO04, temperature seasonality; BIO08, mean temperature of wettest quarter; BIO09, mean temperature of driest quarter; BIO12, annual precipitation; grassland, the percentage coverage of grassland; population, human population density; forest, the percentage coverage of forest.
Fig 5.
The reported distributions (A) and model-predicted occurrence probability (B) of SFTS cases at the county level in Zhejiang province from 2011-2022.
The probabilities derived are at the county level. The base layer of the map is from DataV.GeoAtlas, a website providing standard maps that are approved for public use and are in compliance with the national standards for map representation. (http://datav.aliyun.com/portal/school/atlas/area_selector#&lat=31.769817845138945&lng=104.29901249999999&zoom=4).