Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries.

ABSTRACT: BACKGROUND:Larval indices such as the house index (HI), Breteau index (BI) and container index (CI) are widely used to interpret arbovirus vector density in surveillance programmes. However, the use of such data as an alarm signal is rarely considered consciously when planning programmes. The present study aims to investigate the spatial distribution pattern of the infestation of Aedes aegypti, considering the data available in the Ae. aegypti Infestation Index Rapid Survey (LIRAa) for the city of Campina Grande, Paraíba State in Brazil. METHODS:The global and local Moran's indices were used in spatial analysis to measure the effects of spatial dependencies between neighbourhoods, using secondary data related to HI and BI gathered from surveillance service. RESULTS:Our analysis shows that

SUBMITTER: Cavalcante ACP 

PROVIDER: S-EPMC7164210 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature