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Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity
BACKGROUND: Seroepidemiology provides robust estimates for tracking malaria transmission when intensity is low and useful when there is no baseline entomological data. Serological evidence of exposure to malaria vectors and parasite contribute to our understanding of the risk of pathogen transmissio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418069/ https://www.ncbi.nlm.nih.gov/pubmed/25928847 http://dx.doi.org/10.1186/s13071-015-0861-y |
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author | Badu, Kingsley Gyan, Ben Appawu, Maxwell Mensah, Daniel Dodoo, Daniel Yan, Guiyun Drakeley, Chris Zhou, Guofa Owusu-Dabo, Ellis Koram, Kwadwo Ansah |
author_facet | Badu, Kingsley Gyan, Ben Appawu, Maxwell Mensah, Daniel Dodoo, Daniel Yan, Guiyun Drakeley, Chris Zhou, Guofa Owusu-Dabo, Ellis Koram, Kwadwo Ansah |
author_sort | Badu, Kingsley |
collection | PubMed |
description | BACKGROUND: Seroepidemiology provides robust estimates for tracking malaria transmission when intensity is low and useful when there is no baseline entomological data. Serological evidence of exposure to malaria vectors and parasite contribute to our understanding of the risk of pathogen transmission, and facilitates implementation of targeted interventions. Ab to Anopheles gambiae salivary peptide (gSG6-P1) and merozoite surface protein one (MSP-1(19)) reflect human exposure to malaria vectors and parasites. This study estimated malaria transmission dynamics using serological evidence of vector and parasite exposure in southern Ghana. METHODS: Total IgG responses to both antigens in an age stratified cohort (<5, 5–14, >14) were measured from South-eastern Ghana. 295 randomly selected sera were analyzed from archived samples belonging to a cohort study that were followed at 3 consecutive survey months (n = 885); February, May and August 2009. Temporal variations in seroprevalence of both antigens as well as differences between the age-stratified cohorts were determined by χ(2) test with p < 0.05 statistically significant. Non-parametric repeated ANOVA – Friedman’s test was used to test differences in antibody levels. Seroprevalence data were fitted to reversible catalytic model to estimate sero-conversion rates. RESULTS: Whereas parasite prevalence was generally low 2.4%, 2.7% and 2.4% with no apparent trends with season, seroprevalence to both gSG6-P1 and MSP1(19) were high (59%, 50.9%, 52.2%) and 57.6%, 52.3% and 43.6% in respective order from Feb. to August. Repeated measures ANOVA showed differences in median antibody levels across surveys with specific significant differences between February and May but not August by post hoc Dunn’s multiple comparison tests for gSG6-P1. For MSP1(19), no differences were observed in antibody levels between February and May but a significant decline was observed from May to August. Seroconversion rates for gSG6-P1 increased by 1.5 folds from February to August and 3 folds for MSP1(19). CONCLUSION: Data suggests exposure to infectious bites may be declining whereas mosquito bites remains high. Sustained malaria control efforts and surveillance are needed to drive malaria further down and to prevent catastrophic rebound. Operational factors for scaling up have been discussed. |
format | Online Article Text |
id | pubmed-4418069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44180692015-05-05 Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity Badu, Kingsley Gyan, Ben Appawu, Maxwell Mensah, Daniel Dodoo, Daniel Yan, Guiyun Drakeley, Chris Zhou, Guofa Owusu-Dabo, Ellis Koram, Kwadwo Ansah Parasit Vectors Research BACKGROUND: Seroepidemiology provides robust estimates for tracking malaria transmission when intensity is low and useful when there is no baseline entomological data. Serological evidence of exposure to malaria vectors and parasite contribute to our understanding of the risk of pathogen transmission, and facilitates implementation of targeted interventions. Ab to Anopheles gambiae salivary peptide (gSG6-P1) and merozoite surface protein one (MSP-1(19)) reflect human exposure to malaria vectors and parasites. This study estimated malaria transmission dynamics using serological evidence of vector and parasite exposure in southern Ghana. METHODS: Total IgG responses to both antigens in an age stratified cohort (<5, 5–14, >14) were measured from South-eastern Ghana. 295 randomly selected sera were analyzed from archived samples belonging to a cohort study that were followed at 3 consecutive survey months (n = 885); February, May and August 2009. Temporal variations in seroprevalence of both antigens as well as differences between the age-stratified cohorts were determined by χ(2) test with p < 0.05 statistically significant. Non-parametric repeated ANOVA – Friedman’s test was used to test differences in antibody levels. Seroprevalence data were fitted to reversible catalytic model to estimate sero-conversion rates. RESULTS: Whereas parasite prevalence was generally low 2.4%, 2.7% and 2.4% with no apparent trends with season, seroprevalence to both gSG6-P1 and MSP1(19) were high (59%, 50.9%, 52.2%) and 57.6%, 52.3% and 43.6% in respective order from Feb. to August. Repeated measures ANOVA showed differences in median antibody levels across surveys with specific significant differences between February and May but not August by post hoc Dunn’s multiple comparison tests for gSG6-P1. For MSP1(19), no differences were observed in antibody levels between February and May but a significant decline was observed from May to August. Seroconversion rates for gSG6-P1 increased by 1.5 folds from February to August and 3 folds for MSP1(19). CONCLUSION: Data suggests exposure to infectious bites may be declining whereas mosquito bites remains high. Sustained malaria control efforts and surveillance are needed to drive malaria further down and to prevent catastrophic rebound. Operational factors for scaling up have been discussed. BioMed Central 2015-04-28 /pmc/articles/PMC4418069/ /pubmed/25928847 http://dx.doi.org/10.1186/s13071-015-0861-y Text en © Badu et al.; licensee BioMed Central. 2015 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Badu, Kingsley Gyan, Ben Appawu, Maxwell Mensah, Daniel Dodoo, Daniel Yan, Guiyun Drakeley, Chris Zhou, Guofa Owusu-Dabo, Ellis Koram, Kwadwo Ansah Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title | Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title_full | Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title_fullStr | Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title_full_unstemmed | Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title_short | Serological evidence of vector and parasite exposure in Southern Ghana: the dynamics of malaria transmission intensity |
title_sort | serological evidence of vector and parasite exposure in southern ghana: the dynamics of malaria transmission intensity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418069/ https://www.ncbi.nlm.nih.gov/pubmed/25928847 http://dx.doi.org/10.1186/s13071-015-0861-y |
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