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Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR

The epidemiology of malaria changes as prevalence falls in low-transmission settings, with remaining infections becoming more difficult to detect and diagnose. At this stage active surveillance is critical to detect residual hotspots of transmission. However, diagnostic tools used in active surveill...

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Autores principales: Byrne, Isabel, Cramer, Estee, Nelli, Luca, Rerolle, Francois, Wu, Lindsey, Patterson, Catriona, Rosado, Jason, Dumont, Elin, Tetteh, Kevin K. A., Dantzer, Emily, Hongvanthong, Bouasy, Fornace, Kimberley M., Stresman, Gillian, Lover, Andrew, Bennett, Adam, Drakeley, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433740/
https://www.ncbi.nlm.nih.gov/pubmed/36059850
http://dx.doi.org/10.3389/fmed.2022.929366
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author Byrne, Isabel
Cramer, Estee
Nelli, Luca
Rerolle, Francois
Wu, Lindsey
Patterson, Catriona
Rosado, Jason
Dumont, Elin
Tetteh, Kevin K. A.
Dantzer, Emily
Hongvanthong, Bouasy
Fornace, Kimberley M.
Stresman, Gillian
Lover, Andrew
Bennett, Adam
Drakeley, Chris
author_facet Byrne, Isabel
Cramer, Estee
Nelli, Luca
Rerolle, Francois
Wu, Lindsey
Patterson, Catriona
Rosado, Jason
Dumont, Elin
Tetteh, Kevin K. A.
Dantzer, Emily
Hongvanthong, Bouasy
Fornace, Kimberley M.
Stresman, Gillian
Lover, Andrew
Bennett, Adam
Drakeley, Chris
author_sort Byrne, Isabel
collection PubMed
description The epidemiology of malaria changes as prevalence falls in low-transmission settings, with remaining infections becoming more difficult to detect and diagnose. At this stage active surveillance is critical to detect residual hotspots of transmission. However, diagnostic tools used in active surveillance generally only detect concurrent infections, and surveys may benefit from sensitive tools such as serological assays. Serology can be used to interrogate and characterize individuals' previous exposure to malaria over longer durations, providing information essential to the detection of remaining foci of infection. We ran blood samples collected from a 2016 population-based survey in the low-transmission setting of northern Lao PDR on a multiplexed bead assay to characterize historic and recent exposures to Plasmodium falciparum and vivax. Using geostatistical methods and remote-sensing data we assessed the environmental and spatial associations with exposure, and created predictive maps of exposure within the study sites. We additionally linked the active surveillance PCR and serology data with passively collected surveillance data from health facility records. We aimed to highlight the added information which can be gained from serology as a tool in active surveillance surveys in low-transmission settings, and to identify priority areas for national surveillance programmes where malaria risk is higher. We also discuss the issues faced when linking malaria data from multiple sources using multiple diagnostic endpoints.
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spelling pubmed-94337402022-09-02 Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR Byrne, Isabel Cramer, Estee Nelli, Luca Rerolle, Francois Wu, Lindsey Patterson, Catriona Rosado, Jason Dumont, Elin Tetteh, Kevin K. A. Dantzer, Emily Hongvanthong, Bouasy Fornace, Kimberley M. Stresman, Gillian Lover, Andrew Bennett, Adam Drakeley, Chris Front Med (Lausanne) Medicine The epidemiology of malaria changes as prevalence falls in low-transmission settings, with remaining infections becoming more difficult to detect and diagnose. At this stage active surveillance is critical to detect residual hotspots of transmission. However, diagnostic tools used in active surveillance generally only detect concurrent infections, and surveys may benefit from sensitive tools such as serological assays. Serology can be used to interrogate and characterize individuals' previous exposure to malaria over longer durations, providing information essential to the detection of remaining foci of infection. We ran blood samples collected from a 2016 population-based survey in the low-transmission setting of northern Lao PDR on a multiplexed bead assay to characterize historic and recent exposures to Plasmodium falciparum and vivax. Using geostatistical methods and remote-sensing data we assessed the environmental and spatial associations with exposure, and created predictive maps of exposure within the study sites. We additionally linked the active surveillance PCR and serology data with passively collected surveillance data from health facility records. We aimed to highlight the added information which can be gained from serology as a tool in active surveillance surveys in low-transmission settings, and to identify priority areas for national surveillance programmes where malaria risk is higher. We also discuss the issues faced when linking malaria data from multiple sources using multiple diagnostic endpoints. Frontiers Media S.A. 2022-08-18 /pmc/articles/PMC9433740/ /pubmed/36059850 http://dx.doi.org/10.3389/fmed.2022.929366 Text en Copyright © 2022 Byrne, Cramer, Nelli, Rerolle, Wu, Patterson, Rosado, Dumont, Tetteh, Dantzer, Hongvanthong, Fornace, Stresman, Lover, Bennett and Drakeley. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Byrne, Isabel
Cramer, Estee
Nelli, Luca
Rerolle, Francois
Wu, Lindsey
Patterson, Catriona
Rosado, Jason
Dumont, Elin
Tetteh, Kevin K. A.
Dantzer, Emily
Hongvanthong, Bouasy
Fornace, Kimberley M.
Stresman, Gillian
Lover, Andrew
Bennett, Adam
Drakeley, Chris
Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title_full Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title_fullStr Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title_full_unstemmed Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title_short Characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in Lao PDR
title_sort characterizing the spatial distribution of multiple malaria diagnostic endpoints in a low-transmission setting in lao pdr
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433740/
https://www.ncbi.nlm.nih.gov/pubmed/36059850
http://dx.doi.org/10.3389/fmed.2022.929366
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