Fig 1.
The study area and monitoring point locations in August 2022.
Base map credit: This figure uses the standard map (Approval Number: GS(2023)2767) supervised by the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/). The boundary of the base map has not been modified.
Fig 2.
Framework of the Aedes mosquito bite risk mapping.
Table 1.
Vulnerable groups for Aedes mosquito bites in Shenzhen.
Table 2.
Q-values of potential influence factors at different spatial grid scales.
Table 3.
Pearson correlation coefficients and q-values between MOI and influencing factors.
Table 4.
Evaluation results of different spatial prediction models.
Fig 3.
The spatial distribution of MOI.
(A) The MOI map. (B) The average MOI in each district. Base map credit: This figure uses the standard map (Approval Number: GS(2023)2767) supervised by the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/). The boundary of the base map has not been modified.
Table 5.
Descriptive statistics of the subdistricts.
Fig 4.
Spatial distribution of PTV generated by GWPCA.
(A)–(C) PTV for GWPC1–GWPC3. (D) CPTV for the sum of these GWPC. Base map credit: This figure uses the standard map (Approval Number: GS(2023)2767) supervised by the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/). The boundary of the base map has not been modified.
Fig 5.
Maps for Aedes mosquito bite risk assessment in Shenzhen.
A) Spatial pattern of vulnerability; B) Local spatial association of HH hazard-exposure; C) Aedes mosquito bite risk assessment map. Base map credit: This figure uses the standard map (Approval Number: GS(2023)2767) supervised by the Ministry of Natural Resources of the People’s Republic of China (http://bzdt.ch.mnr.gov.cn/). The boundary of the base map has not been modified.