Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries
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AuthorsPolicarpo Cavalcante, Ana Carolina
Olinda, Ricardo Alves
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AbstractBackground 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 programs. However, the use of such data as an alarm signal is rarely considered consciously when planning programs. 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 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. Result Our analysis of data shows that there is a predominance of high rates of mosquito infestation, placing Campina Grande at a near-constant risk of arbovirus outbreaks and epidemics. A highly significant Moran Index value (p<0.001) was observed, indicating a positive spatial dependency between the neighbourhoods in Campina Grande. Using the Moran Mapping and LISA Mapping, the auto-correlation patterns of Ae. aegypti infestation rates among neighbourhoods have revealed hotpots that should be considered a priority to preventive actions of the Entomological Surveillance services. The predominance of high infestation rates and the clearer relationships of these between neighbourhoods were observed between the months of May and July, the period with the highest rainfall in the city. Conclusion This analysis is an innovative strategy capable of providing detailed information on infestation locations to the relevant public health authorities, which will enable a more efficient allocation of resources, particularly for arbovirus prevention.
CitationPolicarpo Cavalcante, A. C., Olinda, R. A., Gomes, A., Traxler, J., Smith, M. and Santas, S. (2020) Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries, Parasites and Vectors (in press)
JournalParasites and Vectors
SponsorsThe current study was funded by Fundação de Apoio à Pesquisa do Estado da Paraíba (FAPESQ/CNPq - PPSUS 015/2014) and British Council 274560199.