An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk.

ABSTRACT:

Background

Dengue fever is transmitted to humans through bites of Aedes mosquito vectors. Therefore, controlling the Aedes population can decrease the incidence and block transmission of dengue fever and other diseases transmitted by these mosquito species. In many countries, gravitraps are used to monitor mosquito vector densities, but this approach usually underestimates the population of Aedes mosquitoes. Moreover, literature on the spatio-temporal dynamics of Aedes populations in a single city is limited. For example, in Kaohsiung of Taiwan, population densities vary substantially between villages, and the city government has relatively limited resources to deploy gravitraps. Therefore, a well-defined index should be developed to reflect the spatial-temporal dynamics of adult A

SUBMITTER: Yuan HY 

PROVIDER: S-EPMC12329899 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature