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Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data

BACKGROUND: Passively collected malaria case data are the foundation for public health decision making. However, because of population-level immunity, infections might not always be sufficiently symptomatic to prompt individuals to seek care. Understanding the proportion of all Plasmodium spp infect...

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Autores principales: Stresman, Gillian, Sepúlveda, Nuno, Fornace, Kimberly, Grignard, Lynn, Mwesigwa, Julia, Achan, Jane, Miller, John, Bridges, Daniel J, Eisele, Thomas P, Mosha, Jacklin, Lorenzo, Pauline Joy, Macalinao, Maria Lourdes, Espino, Fe Esperanza, Tadesse, Fitsum, Stevenson, Jennifer C, Quispe, Antonio M, Siqueira, André, Lacerda, Marcus, Yeung, Shunmay, Sovannaroth, Siv, Pothin, Emilie, Gallay, Joanna, Hamre, Karen E, Young, Alyssa, Lemoine, Jean Frantz, Chang, Michelle A, Phommasone, Koukeo, Mayxay, Mayfong, Landier, Jordi, Parker, Daniel M, Von Seidlein, Lorenz, Nosten, Francois, Delmas, Gilles, Dondorp, Arjen, Cameron, Ewan, Battle, Katherine, Bousema, Teun, Gething, Peter, D'Alessandro, Umberto, Drakeley, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science ;, The Lancet Pub. Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391005/
https://www.ncbi.nlm.nih.gov/pubmed/32277908
http://dx.doi.org/10.1016/S1473-3099(20)30059-1
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author Stresman, Gillian
Sepúlveda, Nuno
Fornace, Kimberly
Grignard, Lynn
Mwesigwa, Julia
Achan, Jane
Miller, John
Bridges, Daniel J
Eisele, Thomas P
Mosha, Jacklin
Lorenzo, Pauline Joy
Macalinao, Maria Lourdes
Espino, Fe Esperanza
Tadesse, Fitsum
Stevenson, Jennifer C
Quispe, Antonio M
Siqueira, André
Lacerda, Marcus
Yeung, Shunmay
Sovannaroth, Siv
Pothin, Emilie
Gallay, Joanna
Hamre, Karen E
Young, Alyssa
Lemoine, Jean Frantz
Chang, Michelle A
Phommasone, Koukeo
Mayxay, Mayfong
Landier, Jordi
Parker, Daniel M
Von Seidlein, Lorenz
Nosten, Francois
Delmas, Gilles
Dondorp, Arjen
Cameron, Ewan
Battle, Katherine
Bousema, Teun
Gething, Peter
D'Alessandro, Umberto
Drakeley, Chris
author_facet Stresman, Gillian
Sepúlveda, Nuno
Fornace, Kimberly
Grignard, Lynn
Mwesigwa, Julia
Achan, Jane
Miller, John
Bridges, Daniel J
Eisele, Thomas P
Mosha, Jacklin
Lorenzo, Pauline Joy
Macalinao, Maria Lourdes
Espino, Fe Esperanza
Tadesse, Fitsum
Stevenson, Jennifer C
Quispe, Antonio M
Siqueira, André
Lacerda, Marcus
Yeung, Shunmay
Sovannaroth, Siv
Pothin, Emilie
Gallay, Joanna
Hamre, Karen E
Young, Alyssa
Lemoine, Jean Frantz
Chang, Michelle A
Phommasone, Koukeo
Mayxay, Mayfong
Landier, Jordi
Parker, Daniel M
Von Seidlein, Lorenz
Nosten, Francois
Delmas, Gilles
Dondorp, Arjen
Cameron, Ewan
Battle, Katherine
Bousema, Teun
Gething, Peter
D'Alessandro, Umberto
Drakeley, Chris
author_sort Stresman, Gillian
collection PubMed
description BACKGROUND: Passively collected malaria case data are the foundation for public health decision making. However, because of population-level immunity, infections might not always be sufficiently symptomatic to prompt individuals to seek care. Understanding the proportion of all Plasmodium spp infections expected to be detected by the health system becomes particularly paramount in elimination settings. The aim of this study was to determine the association between the proportion of infections detected and transmission intensity for Plasmodium falciparum and Plasmodium vivax in several global endemic settings. METHODS: The proportion of infections detected in routine malaria data, P(Detect), was derived from paired household cross-sectional survey and routinely collected malaria data within health facilities. P(Detect) was estimated using a Bayesian model in 431 clusters spanning the Americas, Africa, and Asia. The association between P(Detect) and malaria prevalence was assessed using log-linear regression models. Changes in P(Detect) over time were evaluated using data from 13 timepoints over 2 years from The Gambia. FINDINGS: The median estimated P(Detect) across all clusters was 12·5% (IQR 5·3–25·0) for P falciparum and 10·1% (5·0–18·3) for P vivax and decreased as the estimated log-PCR community prevalence increased (adjusted odds ratio [OR] for P falciparum 0·63, 95% CI 0·57–0·69; adjusted OR for P vivax 0·52, 0·47–0·57). Factors associated with increasing P(Detect) included smaller catchment population size, high transmission season, improved care-seeking behaviour by infected individuals, and recent increases (within the previous year) in transmission intensity. INTERPRETATION: The proportion of all infections detected within health systems increases once transmission intensity is sufficiently low. The likely explanation for P falciparum is that reduced exposure to infection leads to lower levels of protective immunity in the population, increasing the likelihood that infected individuals will become symptomatic and seek care. These factors might also be true for P vivax but a better understanding of the transmission biology is needed to attribute likely reasons for the observed trend. In low transmission and pre-elimination settings, enhancing access to care and improvements in care-seeking behaviour of infected individuals will lead to an increased proportion of infections detected in the community and might contribute to accelerating the interruption of transmission. FUNDING: Wellcome Trust.
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spelling pubmed-73910052020-08-04 Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data Stresman, Gillian Sepúlveda, Nuno Fornace, Kimberly Grignard, Lynn Mwesigwa, Julia Achan, Jane Miller, John Bridges, Daniel J Eisele, Thomas P Mosha, Jacklin Lorenzo, Pauline Joy Macalinao, Maria Lourdes Espino, Fe Esperanza Tadesse, Fitsum Stevenson, Jennifer C Quispe, Antonio M Siqueira, André Lacerda, Marcus Yeung, Shunmay Sovannaroth, Siv Pothin, Emilie Gallay, Joanna Hamre, Karen E Young, Alyssa Lemoine, Jean Frantz Chang, Michelle A Phommasone, Koukeo Mayxay, Mayfong Landier, Jordi Parker, Daniel M Von Seidlein, Lorenz Nosten, Francois Delmas, Gilles Dondorp, Arjen Cameron, Ewan Battle, Katherine Bousema, Teun Gething, Peter D'Alessandro, Umberto Drakeley, Chris Lancet Infect Dis Article BACKGROUND: Passively collected malaria case data are the foundation for public health decision making. However, because of population-level immunity, infections might not always be sufficiently symptomatic to prompt individuals to seek care. Understanding the proportion of all Plasmodium spp infections expected to be detected by the health system becomes particularly paramount in elimination settings. The aim of this study was to determine the association between the proportion of infections detected and transmission intensity for Plasmodium falciparum and Plasmodium vivax in several global endemic settings. METHODS: The proportion of infections detected in routine malaria data, P(Detect), was derived from paired household cross-sectional survey and routinely collected malaria data within health facilities. P(Detect) was estimated using a Bayesian model in 431 clusters spanning the Americas, Africa, and Asia. The association between P(Detect) and malaria prevalence was assessed using log-linear regression models. Changes in P(Detect) over time were evaluated using data from 13 timepoints over 2 years from The Gambia. FINDINGS: The median estimated P(Detect) across all clusters was 12·5% (IQR 5·3–25·0) for P falciparum and 10·1% (5·0–18·3) for P vivax and decreased as the estimated log-PCR community prevalence increased (adjusted odds ratio [OR] for P falciparum 0·63, 95% CI 0·57–0·69; adjusted OR for P vivax 0·52, 0·47–0·57). Factors associated with increasing P(Detect) included smaller catchment population size, high transmission season, improved care-seeking behaviour by infected individuals, and recent increases (within the previous year) in transmission intensity. INTERPRETATION: The proportion of all infections detected within health systems increases once transmission intensity is sufficiently low. The likely explanation for P falciparum is that reduced exposure to infection leads to lower levels of protective immunity in the population, increasing the likelihood that infected individuals will become symptomatic and seek care. These factors might also be true for P vivax but a better understanding of the transmission biology is needed to attribute likely reasons for the observed trend. In low transmission and pre-elimination settings, enhancing access to care and improvements in care-seeking behaviour of infected individuals will lead to an increased proportion of infections detected in the community and might contribute to accelerating the interruption of transmission. FUNDING: Wellcome Trust. Elsevier Science ;, The Lancet Pub. Group 2020-08 /pmc/articles/PMC7391005/ /pubmed/32277908 http://dx.doi.org/10.1016/S1473-3099(20)30059-1 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Stresman, Gillian
Sepúlveda, Nuno
Fornace, Kimberly
Grignard, Lynn
Mwesigwa, Julia
Achan, Jane
Miller, John
Bridges, Daniel J
Eisele, Thomas P
Mosha, Jacklin
Lorenzo, Pauline Joy
Macalinao, Maria Lourdes
Espino, Fe Esperanza
Tadesse, Fitsum
Stevenson, Jennifer C
Quispe, Antonio M
Siqueira, André
Lacerda, Marcus
Yeung, Shunmay
Sovannaroth, Siv
Pothin, Emilie
Gallay, Joanna
Hamre, Karen E
Young, Alyssa
Lemoine, Jean Frantz
Chang, Michelle A
Phommasone, Koukeo
Mayxay, Mayfong
Landier, Jordi
Parker, Daniel M
Von Seidlein, Lorenz
Nosten, Francois
Delmas, Gilles
Dondorp, Arjen
Cameron, Ewan
Battle, Katherine
Bousema, Teun
Gething, Peter
D'Alessandro, Umberto
Drakeley, Chris
Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title_full Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title_fullStr Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title_full_unstemmed Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title_short Association between the proportion of Plasmodium falciparum and Plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
title_sort association between the proportion of plasmodium falciparum and plasmodium vivax infections detected by passive surveillance and the magnitude of the asymptomatic reservoir in the community: a pooled analysis of paired health facility and community data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391005/
https://www.ncbi.nlm.nih.gov/pubmed/32277908
http://dx.doi.org/10.1016/S1473-3099(20)30059-1
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