Chagas disease vector control and Taylor's law
Background: Large spatial and temporal fluctuations in the population density of living organisms have profound consequences for biodiversity conservation, food production, pest control and disease control, especially vector-borne disease control. Chagas disease vector control based on insecticide s...
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2017
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19352727_v11_n11_p_Cohen http://hdl.handle.net/20.500.12110/paper_19352727_v11_n11_p_Cohen |
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paper:paper_19352727_v11_n11_p_Cohen2023-06-08T16:31:50Z Chagas disease vector control and Taylor's law insecticide Argentina Article bacterial clearance Chagas disease disease surveillance disease transmission empirical research genetic susceptibility health survey insect vector microbial community nonhuman pathogen clearance Taylor law Triatoma dimidiata Triatoma infestans Triatoma sordida Trypanosoma cruzi vector control animal Chagas disease ecosystem human insect control physiology spatiotemporal analysis theoretical model transmission Triatoma Animals Chagas Disease Ecosystem Humans Insect Control Insect Vectors Models, Theoretical Spatio-Temporal Analysis Triatoma Background: Large spatial and temporal fluctuations in the population density of living organisms have profound consequences for biodiversity conservation, food production, pest control and disease control, especially vector-borne disease control. Chagas disease vector control based on insecticide spraying could benefit from improved concepts and methods to deal with spatial variations in vector population density. Methodology/Principal findings: We show that Taylor's law (TL) of fluctuation scaling describes accurately the mean and variance over space of relative abundance, by habitat, of four insect vectors of Chagas disease (Triatoma infestans, Triatoma guasayana, Triatoma garciabesi and Triatoma sordida) in 33,908 searches of people's dwellings and associated habitats in 79 field surveys in four districts in the Argentine Chaco region, before and after insecticide spraying. As TL predicts, the logarithm of the sample variance of bug relative abundance closely approximates a linear function of the logarithm of the sample mean of abundance in different habitats. Slopes of TL indicate spatial aggregation or variation in habitat suitability. Predictions of new mathematical models of the effect of vector control measures on TL agree overall with field data before and after community-wide spraying of insecticide. Conclusions/Significance: A spatial Taylor's law identifies key habitats with high average infestation and spatially highly variable infestation, providing a new instrument for the control and elimination of the vectors of a major human disease. © 2017 Cohen et al. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19352727_v11_n11_p_Cohen http://hdl.handle.net/20.500.12110/paper_19352727_v11_n11_p_Cohen |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
insecticide Argentina Article bacterial clearance Chagas disease disease surveillance disease transmission empirical research genetic susceptibility health survey insect vector microbial community nonhuman pathogen clearance Taylor law Triatoma dimidiata Triatoma infestans Triatoma sordida Trypanosoma cruzi vector control animal Chagas disease ecosystem human insect control physiology spatiotemporal analysis theoretical model transmission Triatoma Animals Chagas Disease Ecosystem Humans Insect Control Insect Vectors Models, Theoretical Spatio-Temporal Analysis Triatoma |
| spellingShingle |
insecticide Argentina Article bacterial clearance Chagas disease disease surveillance disease transmission empirical research genetic susceptibility health survey insect vector microbial community nonhuman pathogen clearance Taylor law Triatoma dimidiata Triatoma infestans Triatoma sordida Trypanosoma cruzi vector control animal Chagas disease ecosystem human insect control physiology spatiotemporal analysis theoretical model transmission Triatoma Animals Chagas Disease Ecosystem Humans Insect Control Insect Vectors Models, Theoretical Spatio-Temporal Analysis Triatoma Chagas disease vector control and Taylor's law |
| topic_facet |
insecticide Argentina Article bacterial clearance Chagas disease disease surveillance disease transmission empirical research genetic susceptibility health survey insect vector microbial community nonhuman pathogen clearance Taylor law Triatoma dimidiata Triatoma infestans Triatoma sordida Trypanosoma cruzi vector control animal Chagas disease ecosystem human insect control physiology spatiotemporal analysis theoretical model transmission Triatoma Animals Chagas Disease Ecosystem Humans Insect Control Insect Vectors Models, Theoretical Spatio-Temporal Analysis Triatoma |
| description |
Background: Large spatial and temporal fluctuations in the population density of living organisms have profound consequences for biodiversity conservation, food production, pest control and disease control, especially vector-borne disease control. Chagas disease vector control based on insecticide spraying could benefit from improved concepts and methods to deal with spatial variations in vector population density. Methodology/Principal findings: We show that Taylor's law (TL) of fluctuation scaling describes accurately the mean and variance over space of relative abundance, by habitat, of four insect vectors of Chagas disease (Triatoma infestans, Triatoma guasayana, Triatoma garciabesi and Triatoma sordida) in 33,908 searches of people's dwellings and associated habitats in 79 field surveys in four districts in the Argentine Chaco region, before and after insecticide spraying. As TL predicts, the logarithm of the sample variance of bug relative abundance closely approximates a linear function of the logarithm of the sample mean of abundance in different habitats. Slopes of TL indicate spatial aggregation or variation in habitat suitability. Predictions of new mathematical models of the effect of vector control measures on TL agree overall with field data before and after community-wide spraying of insecticide. Conclusions/Significance: A spatial Taylor's law identifies key habitats with high average infestation and spatially highly variable infestation, providing a new instrument for the control and elimination of the vectors of a major human disease. © 2017 Cohen et al. |
| title |
Chagas disease vector control and Taylor's law |
| title_short |
Chagas disease vector control and Taylor's law |
| title_full |
Chagas disease vector control and Taylor's law |
| title_fullStr |
Chagas disease vector control and Taylor's law |
| title_full_unstemmed |
Chagas disease vector control and Taylor's law |
| title_sort |
chagas disease vector control and taylor's law |
| publishDate |
2017 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19352727_v11_n11_p_Cohen http://hdl.handle.net/20.500.12110/paper_19352727_v11_n11_p_Cohen |
| _version_ |
1768542572910739456 |