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Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey
BACKGROUND: With low and markedly seasonal malaria transmission, increasingly sensitive tools for better stratifying the risk of infection and targeting control interventions are needed. A cross-sectional survey to characterize the current malaria transmission patterns, identify hotspots, and detect...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565712/ https://www.ncbi.nlm.nih.gov/pubmed/26356311 http://dx.doi.org/10.1371/journal.pone.0137458 |
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author | Rosas-Aguirre, Angel Speybroeck, Niko Llanos-Cuentas, Alejandro Rosanas-Urgell, Anna Carrasco-Escobar, Gabriel Rodriguez, Hugo Gamboa, Dionicia Contreras-Mancilla, Juan Alava, Freddy Soares, Irene S. Remarque, Edmond D´Alessandro, Umberto Erhart, Annette |
author_facet | Rosas-Aguirre, Angel Speybroeck, Niko Llanos-Cuentas, Alejandro Rosanas-Urgell, Anna Carrasco-Escobar, Gabriel Rodriguez, Hugo Gamboa, Dionicia Contreras-Mancilla, Juan Alava, Freddy Soares, Irene S. Remarque, Edmond D´Alessandro, Umberto Erhart, Annette |
author_sort | Rosas-Aguirre, Angel |
collection | PubMed |
description | BACKGROUND: With low and markedly seasonal malaria transmission, increasingly sensitive tools for better stratifying the risk of infection and targeting control interventions are needed. A cross-sectional survey to characterize the current malaria transmission patterns, identify hotspots, and detect recent changes using parasitological and serological measures was conducted in three sites of the Peruvian Amazon. MATERIAL AND METHODS: After full census of the study population, 651 participants were interviewed, clinically examined and had a blood sample taken for the detection of malaria parasites (microscopy and PCR) and antibodies against P. vivax (PvMSP1(19), PvAMA1) and P. falciparum (PfGLURP, PfAMA1) antigens by ELISA. Risk factors for malaria infection (positive PCR) and malaria exposure (seropositivity) were assessed by multivariate survey logistic regression models. Age-specific seroprevalence was analyzed using a reversible catalytic conversion model based on maximum likelihood for generating seroconversion rates (SCR, λ). SaTScan was used to detect spatial clusters of serology-positive individuals within each site. RESULTS: The overall parasite prevalence by PCR was low, i.e. 3.9% for P. vivax and 6.7% for P. falciparum, while the seroprevalence was substantially higher, 33.6% for P. vivax and 22.0% for P. falciparum, with major differences between study sites. Age and location (site) were significantly associated with P. vivax exposure; while location, age and outdoor occupation were associated with P. falciparum exposure. P. falciparum seroprevalence curves showed a stable transmission throughout time, while for P. vivax transmission was better described by a model with two SCRs. The spatial analysis identified well-defined clusters of P. falciparum seropositive individuals in two sites, while it detected only a very small cluster of P. vivax exposure. CONCLUSION: The use of a single parasitological and serological malaria survey has proven to be an efficient and accurate method to characterize the species specific heterogeneity in malaria transmission at micro-geographical level as well as to identify recent changes in transmission. |
format | Online Article Text |
id | pubmed-4565712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45657122015-09-18 Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey Rosas-Aguirre, Angel Speybroeck, Niko Llanos-Cuentas, Alejandro Rosanas-Urgell, Anna Carrasco-Escobar, Gabriel Rodriguez, Hugo Gamboa, Dionicia Contreras-Mancilla, Juan Alava, Freddy Soares, Irene S. Remarque, Edmond D´Alessandro, Umberto Erhart, Annette PLoS One Research Article BACKGROUND: With low and markedly seasonal malaria transmission, increasingly sensitive tools for better stratifying the risk of infection and targeting control interventions are needed. A cross-sectional survey to characterize the current malaria transmission patterns, identify hotspots, and detect recent changes using parasitological and serological measures was conducted in three sites of the Peruvian Amazon. MATERIAL AND METHODS: After full census of the study population, 651 participants were interviewed, clinically examined and had a blood sample taken for the detection of malaria parasites (microscopy and PCR) and antibodies against P. vivax (PvMSP1(19), PvAMA1) and P. falciparum (PfGLURP, PfAMA1) antigens by ELISA. Risk factors for malaria infection (positive PCR) and malaria exposure (seropositivity) were assessed by multivariate survey logistic regression models. Age-specific seroprevalence was analyzed using a reversible catalytic conversion model based on maximum likelihood for generating seroconversion rates (SCR, λ). SaTScan was used to detect spatial clusters of serology-positive individuals within each site. RESULTS: The overall parasite prevalence by PCR was low, i.e. 3.9% for P. vivax and 6.7% for P. falciparum, while the seroprevalence was substantially higher, 33.6% for P. vivax and 22.0% for P. falciparum, with major differences between study sites. Age and location (site) were significantly associated with P. vivax exposure; while location, age and outdoor occupation were associated with P. falciparum exposure. P. falciparum seroprevalence curves showed a stable transmission throughout time, while for P. vivax transmission was better described by a model with two SCRs. The spatial analysis identified well-defined clusters of P. falciparum seropositive individuals in two sites, while it detected only a very small cluster of P. vivax exposure. CONCLUSION: The use of a single parasitological and serological malaria survey has proven to be an efficient and accurate method to characterize the species specific heterogeneity in malaria transmission at micro-geographical level as well as to identify recent changes in transmission. Public Library of Science 2015-09-10 /pmc/articles/PMC4565712/ /pubmed/26356311 http://dx.doi.org/10.1371/journal.pone.0137458 Text en © 2015 Rosas-Aguirre 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rosas-Aguirre, Angel Speybroeck, Niko Llanos-Cuentas, Alejandro Rosanas-Urgell, Anna Carrasco-Escobar, Gabriel Rodriguez, Hugo Gamboa, Dionicia Contreras-Mancilla, Juan Alava, Freddy Soares, Irene S. Remarque, Edmond D´Alessandro, Umberto Erhart, Annette Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title | Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title_full | Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title_fullStr | Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title_full_unstemmed | Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title_short | Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey |
title_sort | hotspots of malaria transmission in the peruvian amazon: rapid assessment through a parasitological and serological survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565712/ https://www.ncbi.nlm.nih.gov/pubmed/26356311 http://dx.doi.org/10.1371/journal.pone.0137458 |
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