2020
DOI: 10.1186/s13071-020-04070-w
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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 Gra… Show more

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Cited by 16 publications
(32 citation statements)
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“…Interestingly, the Aedes vector density is clearly influenced by most of these factors such as meteorological parameters, land use, meteorological factors, and practices among the local communities, etc. [ 17 , 48 , 52 ]. The contrasting variations in environmental conditions (both meteorological and land use) practices among the local communities and degree of urbanization among the studied MOH areas could be the reason behind the spatial discriminations in both vector densities and thereby threshold levels [ 17 , 52 54 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Interestingly, the Aedes vector density is clearly influenced by most of these factors such as meteorological parameters, land use, meteorological factors, and practices among the local communities, etc. [ 17 , 48 , 52 ]. The contrasting variations in environmental conditions (both meteorological and land use) practices among the local communities and degree of urbanization among the studied MOH areas could be the reason behind the spatial discriminations in both vector densities and thereby threshold levels [ 17 , 52 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…In light of this, thresholds defined in this study would be helpful for adopting and directing vector control activities, with optimum utilization of limited human and financial resources to control dengue epidemics [48,52]. Therefore, VCE in relevant study areas are recommended to apply the above-developed thresholds in epidemic prediction and management, while evaluating the practical feasibility of the thresholds, subjecting to further modifications and adjustments.…”
Section: Recommendedmentioning
confidence: 99%
“…Futhermore, values near zero suggests that the spatial distribution of the phenomenon under study is random. [ 15 ] Finally, Kuldorff's purely spatial scan statistic was used to identify the exact location of high-risk and low-risk clusters of ALL disease in Iran.…”
Section: Methodsmentioning
confidence: 99%
“…Spatial weight matrix : The associations of neighborhood observations, defined for each location, can be expressed by spatial contiguity or a weight matrix W of order n × n , where n is the number of neighboring locations. The spatial wight matrices W 1 and W 2 are defined using Queen contiguity method of spatial weight matrix which defines neighbours such that if a portion of boundary (either edge or vertex) between two regios is shared, the corresponding element of spatial weight matrix W ij is 1 and 0 otherwise ( 25 27 ).…”
Section: Methodsmentioning
confidence: 99%
“…Spatial autocorrelation : Spatial correlation is the correlation between observations of as single variable solely attributable to their proximity in space. Spatial autocorrelation measurements and tests can be differentiated by the range or scale of analysis, as distinguished from global and local measures ( 25 , 27 ). A global measure implies that all measurements in the matrix W are included in the spatial correlation calculation, producing a spatial autocorrelation value for any spatial weight matrix while local measures evaluate the autocorrelation associated with one particular area or a few area units rather than all of them ( 27 ).…”
Section: Methodsmentioning
confidence: 99%