BACKGROUND: The contribution made by fish ponds (pisciculture) to malaria transmission in the Peruvian Amazon remains to be confirmed. Recent entomological evidence indicates that Anopheles darlingi, the main malaria vector in the region, is frequently found in fish ponds along the Iquitos-Nauta road (Loreto, Peru). The aim of this study was to quantify the effect of fish pond density on malaria occurrence. METHODS: A retrospective 30-month cohort study was conducted in eight communities along the Iquitos-Nauta road. Malaria incidence was ascertained from malaria registries of the local health post, which consist of data from both active and passive surveillance (247 cases). Fish pond density was measured using an interpreted satellite image and information on potential confounders was collected through interviewer-administered questionnaires. RESULTS: A total of 1018 individuals from 234 eligible households (90% of the 259 total number of households in the study area) provided complete information on exposures and outcome. Fish pond density was found to be a significant predictor of malaria occurrence (aOR=1.23; 95% CI: 1.09-1.38). CONCLUSION: The association between fish pond density and malaria suggests that fish ponds contribute to malaria transmission in the region. These results have important implications for the prevention and control of malaria and the development of pisciculture as an important economic activity in Amazonia and beyond. 2010. Published by Elsevier B.V.
BACKGROUND: The contribution made by fish ponds (pisciculture) to malaria transmission in the Peruvian Amazon remains to be confirmed. Recent entomological evidence indicates that Anopheles darlingi, the main malaria vector in the region, is frequently found in fish ponds along the Iquitos-Nauta road (Loreto, Peru). The aim of this study was to quantify the effect of fish pond density on malaria occurrence. METHODS: A retrospective 30-month cohort study was conducted in eight communities along the Iquitos-Nauta road. Malaria incidence was ascertained from malaria registries of the local health post, which consist of data from both active and passive surveillance (247 cases). Fish pond density was measured using an interpreted satellite image and information on potential confounders was collected through interviewer-administered questionnaires. RESULTS: A total of 1018 individuals from 234 eligible households (90% of the 259 total number of households in the study area) provided complete information on exposures and outcome. Fish pond density was found to be a significant predictor of malaria occurrence (aOR=1.23; 95% CI: 1.09-1.38). CONCLUSION: The association between fish pond density and malaria suggests that fish ponds contribute to malaria transmission in the region. These results have important implications for the prevention and control of malaria and the development of pisciculture as an important economic activity in Amazonia and beyond. 2010. Published by Elsevier B.V.
Authors: Tatiane M P Oliveira; Gabriel Z Laporta; Eduardo S Bergo; Leonardo Suveges Moreira Chaves; José Leopoldo F Antunes; Sara A Bickersmith; Jan E Conn; Eduardo Massad; Maria Anice Mureb Sallum Journal: Parasit Vectors Date: 2021-05-06 Impact factor: 3.876
Authors: Angel Rosas-Aguirre; Niko Speybroeck; Alejandro Llanos-Cuentas; Anna Rosanas-Urgell; Gabriel Carrasco-Escobar; Hugo Rodriguez; Dionicia Gamboa; Juan Contreras-Mancilla; Freddy Alava; Irene S Soares; Edmond Remarque; Umberto D Alessandro; Annette Erhart Journal: PLoS One Date: 2015-09-10 Impact factor: 3.240
Authors: Marcela Conde; Paula X Pareja; Lorena I Orjuela; Martha L Ahumada; Sebastian Durán; Jennifer A Jara; Braian A Cañon; Pilar Pérez; John C Beier; Socrates Herrera; Martha L Quiñones Journal: Malar J Date: 2015-12-01 Impact factor: 2.979
Authors: Aurélia Stefani; Isabelle Dusfour; Ana Paula S A Corrêa; Manoel C B Cruz; Nadine Dessay; Allan K R Galardo; Clícia D Galardo; Romain Girod; Margarete S M Gomes; Helen Gurgel; Ana Cristina F Lima; Eduardo S Moreno; Lise Musset; Mathieu Nacher; Alana C S Soares; Bernard Carme; Emmanuel Roux Journal: Malar J Date: 2013-06-08 Impact factor: 2.979
Authors: William Lainhart; Sara A Bickersmith; Kyle J Nadler; Marta Moreno; Marlon P Saavedra; Virginia M Chu; Paulo E Ribolla; Joseph M Vinetz; Jan E Conn Journal: Malar J Date: 2015-09-29 Impact factor: 2.979