Literature DB >> 15350863

Mortality profiles of Rhodnius prolixus (Heteroptera: Reduviidae), vector of Chagas disease.

Luis Fernando Chaves1, Maria-Josefina Hernandez, Tomás A Revilla, Diego J Rodríguez, Jorge E Rabinovich.   

Abstract

Life table data of Rhodnius prolixus (Heteroptera: Reduviidae) kept at laboratory conditions were analysed in search for mortality patterns. Gompertz and Weibull mortality models seem adequate to explain the sigmoid shape of the survivorship curve. A significant fit was obtained with both models for females (R(2) = 0.70, P < 0.0005 for the Gompertz model; R(2) = 0.78, P < 0.0005 for the Weibull model) and for males (R(2) = 0.39, P < 0.0005 for the Gompertz model; R(2) = 0.48, P < 0.0005 for the Weibull model). The mortality parameter (b) is higher for females in Gompertz and Weibull models, using smoothed and non-smoothed data (P < 0.05), revealing a significant sex mortality differential. Given the particular life history of this insect, the non-linear relationship between the force of mortality and age may have an important impact in the vectorial capacity of R. prolixus as Chagas disease vector, and its consideration should be included as an important factor in the transmission of Trypanosoma cruzi by triatomines.

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Year:  2004        PMID: 15350863     DOI: 10.1016/j.actatropica.2004.06.005

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  5 in total

1.  An age-structured extension to the vectorial capacity model.

Authors:  Vasiliy N Novoseltsev; Anatoli I Michalski; Janna A Novoseltseva; Anatoliy I Yashin; James R Carey; Alicia M Ellis
Journal:  PLoS One       Date:  2012-06-19       Impact factor: 3.240

2.  Environmental changes can produce shifts in chagas disease infection risk.

Authors:  Juan M Cordovez; Camilo Sanabria
Journal:  Environ Health Insights       Date:  2014-12-09

3.  The effect of temperature increase on the development of Rhodnius prolixus and the course of Trypanosoma cruzi metacyclogenesis.

Authors:  Laura D Tamayo; Felipe Guhl; Gustavo A Vallejo; Juan David Ramírez
Journal:  PLoS Negl Trop Dis       Date:  2018-08-15

4.  How do biting disease vectors behaviourally respond to host availability?

Authors:  Laith Yakob
Journal:  Parasit Vectors       Date:  2016-08-25       Impact factor: 3.876

5.  The role of light in Chagas disease infection risk in Colombia.

Authors:  Diana Erazo; Juan Cordovez
Journal:  Parasit Vectors       Date:  2016-01-05       Impact factor: 3.876

  5 in total

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