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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.
Affiliation
  • Cohen JE; Laboratory of Populations, Rockefeller University, New York, NY, United States of America.
  • Rodríguez-Planes LI; Earth Institute and Department of Statistics, Columbia University, New York, NY, United States of America.
  • Gaspe MS; Department of Statistics, University of Chicago, Chicago, IL, United States of America.
  • Cecere MC; Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales, Laboratory of Eco-Epidemiology, Ciudad Universitaria, Buenos Aires, Argentina.
  • Cardinal MV; Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires. Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Ciudad Universitaria, Buenos Aires, Argentina.
  • Gürtler RE; Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires. Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Ciudad Universitaria, Buenos Aires, Argentina.
PLoS Negl Trop Dis ; 11(11): e0006092, 2017 Nov.
Article in En | MEDLINE | ID: mdl-29190728
ABSTRACT

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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triatoma / Insect Control / Chagas Disease / Models, Theoretical Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2017 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triatoma / Insect Control / Chagas Disease / Models, Theoretical Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2017 Document type: Article Affiliation country:
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