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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734788/ https://www.ncbi.nlm.nih.gov/pubmed/29190728 http://dx.doi.org/10.1371/journal.pntd.0006092 |
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author | Cohen, Joel E. Rodríguez-Planes, Lucía I. Gaspe, María S. Cecere, María C. Cardinal, Marta V. Gürtler, Ricardo E. |
author_facet | Cohen, Joel E. Rodríguez-Planes, Lucía I. Gaspe, María S. Cecere, María C. Cardinal, Marta V. Gürtler, Ricardo E. |
author_sort | Cohen, Joel E. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5734788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57347882017-12-27 Chagas disease vector control and Taylor's law Cohen, Joel E. Rodríguez-Planes, Lucía I. Gaspe, María S. Cecere, María C. Cardinal, Marta V. Gürtler, Ricardo E. PLoS Negl Trop Dis Research Article 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. Public Library of Science 2017-11-30 /pmc/articles/PMC5734788/ /pubmed/29190728 http://dx.doi.org/10.1371/journal.pntd.0006092 Text en © 2017 Cohen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cohen, Joel E. Rodríguez-Planes, Lucía I. Gaspe, María S. Cecere, María C. Cardinal, Marta V. Gürtler, Ricardo E. Chagas disease vector control and Taylor's law |
title | 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_short | Chagas disease vector control and Taylor's law |
title_sort | chagas disease vector control and taylor's law |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734788/ https://www.ncbi.nlm.nih.gov/pubmed/29190728 http://dx.doi.org/10.1371/journal.pntd.0006092 |
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