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Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission

BACKGROUND: The Gambia has successfully reduced malaria transmission. The human reservoir of infection could further decrease if malaria-infected individuals could be identified by highly sensitive, field-based, diagnostic tools and then treated. METHODS: A cross-sectional survey was done at the pea...

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Autores principales: Mwesigwa, Julia, Slater, Hannah, Bradley, John, Saidy, Binta, Ceesay, Fatima, Whittaker, Charles, Kandeh, Ballah, Nkwakamna, Davis, Drakeley, Chris, Van Geertruyden, Jean-Pierre, Bousema, Teun, Achan, Jane, D’Alessandro, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712604/
https://www.ncbi.nlm.nih.gov/pubmed/31455349
http://dx.doi.org/10.1186/s12936-019-2929-1
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author Mwesigwa, Julia
Slater, Hannah
Bradley, John
Saidy, Binta
Ceesay, Fatima
Whittaker, Charles
Kandeh, Ballah
Nkwakamna, Davis
Drakeley, Chris
Van Geertruyden, Jean-Pierre
Bousema, Teun
Achan, Jane
D’Alessandro, Umberto
author_facet Mwesigwa, Julia
Slater, Hannah
Bradley, John
Saidy, Binta
Ceesay, Fatima
Whittaker, Charles
Kandeh, Ballah
Nkwakamna, Davis
Drakeley, Chris
Van Geertruyden, Jean-Pierre
Bousema, Teun
Achan, Jane
D’Alessandro, Umberto
author_sort Mwesigwa, Julia
collection PubMed
description BACKGROUND: The Gambia has successfully reduced malaria transmission. The human reservoir of infection could further decrease if malaria-infected individuals could be identified by highly sensitive, field-based, diagnostic tools and then treated. METHODS: A cross-sectional survey was done at the peak of the 2017 malaria season in 47 Gambian villages. From each village, 100 residents were randomly selected for finger-prick blood samples to detect Plasmodium falciparum infections using highly sensitive rapid diagnostic tests (HS-RDT) and PCR. The sensitivity and specificity of the HS-RDT were estimated (assuming PCR as the gold standard) across varying transmission intensities and in different age groups. A deterministic, age-structured, dynamic model of malaria transmission was used to estimate the impact of mass testing and treatment (MTAT) with HS-RDT in four different scenarios of malaria prevalence by PCR: 5, 15, 30, and 60%, and with seasonal transmission. The impact was compared both to MTAT with conventional RDT and mass drug administration (MDA). RESULTS: Malaria prevalence by HS-RDT was 15% (570/3798; 95% CI 13.9–16.1). The HS-RDT sensitivity and specificity were 38.4% (191/497, 95% CI 34.2–42.71) and 88.5% (2922/3301; 95% CI 87.4–89.6), respectively. Sensitivity was the highest (50.9%, 95% CI 43.3–58.5%) in high prevalence villages (20–50% by PCR). The model predicted that in very low transmission areas (≤ 5%), three monthly rounds of MTAT with HS-RDT, starting towards the end of the dry season and testing 65 or 85% of the population for 2 consecutive years, would avert 62 or 78% of malaria cases (over 2 years), respectively. The effect of the intervention would be lower in a moderate transmission setting. In all settings, MDA would be superior to MTAT with HS-RDT which would be superior to MTAT with conventional RDT. CONCLUSION: The HS-RDT’s field sensitivity was modest and varied by transmission intensity. In low to very low transmission areas, three monthly rounds per year of MTAT with HS-RDT at 85% coverage for 2 consecutive years would reduce malaria prevalence to such low levels that additional strategies may achieve elimination. The model prediction would need to be confirmed by cluster-randomized trials.
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spelling pubmed-67126042019-08-29 Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission Mwesigwa, Julia Slater, Hannah Bradley, John Saidy, Binta Ceesay, Fatima Whittaker, Charles Kandeh, Ballah Nkwakamna, Davis Drakeley, Chris Van Geertruyden, Jean-Pierre Bousema, Teun Achan, Jane D’Alessandro, Umberto Malar J Research BACKGROUND: The Gambia has successfully reduced malaria transmission. The human reservoir of infection could further decrease if malaria-infected individuals could be identified by highly sensitive, field-based, diagnostic tools and then treated. METHODS: A cross-sectional survey was done at the peak of the 2017 malaria season in 47 Gambian villages. From each village, 100 residents were randomly selected for finger-prick blood samples to detect Plasmodium falciparum infections using highly sensitive rapid diagnostic tests (HS-RDT) and PCR. The sensitivity and specificity of the HS-RDT were estimated (assuming PCR as the gold standard) across varying transmission intensities and in different age groups. A deterministic, age-structured, dynamic model of malaria transmission was used to estimate the impact of mass testing and treatment (MTAT) with HS-RDT in four different scenarios of malaria prevalence by PCR: 5, 15, 30, and 60%, and with seasonal transmission. The impact was compared both to MTAT with conventional RDT and mass drug administration (MDA). RESULTS: Malaria prevalence by HS-RDT was 15% (570/3798; 95% CI 13.9–16.1). The HS-RDT sensitivity and specificity were 38.4% (191/497, 95% CI 34.2–42.71) and 88.5% (2922/3301; 95% CI 87.4–89.6), respectively. Sensitivity was the highest (50.9%, 95% CI 43.3–58.5%) in high prevalence villages (20–50% by PCR). The model predicted that in very low transmission areas (≤ 5%), three monthly rounds of MTAT with HS-RDT, starting towards the end of the dry season and testing 65 or 85% of the population for 2 consecutive years, would avert 62 or 78% of malaria cases (over 2 years), respectively. The effect of the intervention would be lower in a moderate transmission setting. In all settings, MDA would be superior to MTAT with HS-RDT which would be superior to MTAT with conventional RDT. CONCLUSION: The HS-RDT’s field sensitivity was modest and varied by transmission intensity. In low to very low transmission areas, three monthly rounds per year of MTAT with HS-RDT at 85% coverage for 2 consecutive years would reduce malaria prevalence to such low levels that additional strategies may achieve elimination. The model prediction would need to be confirmed by cluster-randomized trials. BioMed Central 2019-08-27 /pmc/articles/PMC6712604/ /pubmed/31455349 http://dx.doi.org/10.1186/s12936-019-2929-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Mwesigwa, Julia
Slater, Hannah
Bradley, John
Saidy, Binta
Ceesay, Fatima
Whittaker, Charles
Kandeh, Ballah
Nkwakamna, Davis
Drakeley, Chris
Van Geertruyden, Jean-Pierre
Bousema, Teun
Achan, Jane
D’Alessandro, Umberto
Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title_full Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title_fullStr Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title_full_unstemmed Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title_short Field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
title_sort field performance of the malaria highly sensitive rapid diagnostic test in a setting of varying malaria transmission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712604/
https://www.ncbi.nlm.nih.gov/pubmed/31455349
http://dx.doi.org/10.1186/s12936-019-2929-1
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