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Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini

BACKGROUND: Reactive case detection (RACD) is a widely practiced malaria elimination intervention whereby close contacts of index cases receive malaria testing to inform treatment and other interventions. However, the optimal diagnostic and operational approaches for this resource-intensive strategy...

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Autores principales: Hsiang, Michelle S, Ntshalintshali, Nyasatu, Kang Dufour, Mi-Suk, Dlamini, Nomcebo, Nhlabathi, Nomcebo, Vilakati, Sibonakaliso, Malambe, Calsile, Zulu, Zulisile, Maphalala, Gugu, Novotny, Joseph, Murphy, Maxwell, Schwartz, Alanna, Sturrock, Hugh, Gosling, Roly, Dorsey, Grant, Kunene, Simon, Greenhouse, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318780/
https://www.ncbi.nlm.nih.gov/pubmed/31095677
http://dx.doi.org/10.1093/cid/ciz403
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author Hsiang, Michelle S
Ntshalintshali, Nyasatu
Kang Dufour, Mi-Suk
Dlamini, Nomcebo
Nhlabathi, Nomcebo
Vilakati, Sibonakaliso
Malambe, Calsile
Zulu, Zulisile
Maphalala, Gugu
Novotny, Joseph
Murphy, Maxwell
Schwartz, Alanna
Sturrock, Hugh
Gosling, Roly
Dorsey, Grant
Kunene, Simon
Greenhouse, Bryan
author_facet Hsiang, Michelle S
Ntshalintshali, Nyasatu
Kang Dufour, Mi-Suk
Dlamini, Nomcebo
Nhlabathi, Nomcebo
Vilakati, Sibonakaliso
Malambe, Calsile
Zulu, Zulisile
Maphalala, Gugu
Novotny, Joseph
Murphy, Maxwell
Schwartz, Alanna
Sturrock, Hugh
Gosling, Roly
Dorsey, Grant
Kunene, Simon
Greenhouse, Bryan
author_sort Hsiang, Michelle S
collection PubMed
description BACKGROUND: Reactive case detection (RACD) is a widely practiced malaria elimination intervention whereby close contacts of index cases receive malaria testing to inform treatment and other interventions. However, the optimal diagnostic and operational approaches for this resource-intensive strategy are not clear. METHODS: We conducted a 3-year prospective national evaluation of RACD in Eswatini, a malaria elimination setting. Loop-mediated isothermal amplification (LAMP) was compared to traditional rapid diagnostic testing (RDT) for the improved detection of infections and for hotspots (RACD events yielding ≥1 additional infection). The potential for index case–, RACD-, and individual-level factors to improve efficiencies was also evaluated. RESULTS: Among 377 RACD events, 10 890 participants residing within 500 m of index cases were tested. Compared to RDT, LAMP provided a 3-fold and 2.3-fold higher yield to detect infections (1.7% vs 0.6%) and hotspots (29.7% vs 12.7%), respectively. Hotspot detection improved with ≥80% target population coverage and response times within 7 days. Proximity to the index case was associated with a dose-dependent increased infection risk (up to 4-fold). Individual-, index case–, and other RACD-level factors were considered but the simple approach of restricting RACD to a 200-m radius maximized yield and efficiency. CONCLUSIONS: We present the first large-scale national evaluation of optimal RACD approaches from a malaria elimination setting. To inform delivery of antimalarial drugs or other interventions, RACD, when conducted, should utilize more sensitive diagnostics and clear context-specific operational parameters. Future studies of RACD’s impact on transmission may still be needed.
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spelling pubmed-73187802020-07-01 Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini Hsiang, Michelle S Ntshalintshali, Nyasatu Kang Dufour, Mi-Suk Dlamini, Nomcebo Nhlabathi, Nomcebo Vilakati, Sibonakaliso Malambe, Calsile Zulu, Zulisile Maphalala, Gugu Novotny, Joseph Murphy, Maxwell Schwartz, Alanna Sturrock, Hugh Gosling, Roly Dorsey, Grant Kunene, Simon Greenhouse, Bryan Clin Infect Dis Articles and Commentaries BACKGROUND: Reactive case detection (RACD) is a widely practiced malaria elimination intervention whereby close contacts of index cases receive malaria testing to inform treatment and other interventions. However, the optimal diagnostic and operational approaches for this resource-intensive strategy are not clear. METHODS: We conducted a 3-year prospective national evaluation of RACD in Eswatini, a malaria elimination setting. Loop-mediated isothermal amplification (LAMP) was compared to traditional rapid diagnostic testing (RDT) for the improved detection of infections and for hotspots (RACD events yielding ≥1 additional infection). The potential for index case–, RACD-, and individual-level factors to improve efficiencies was also evaluated. RESULTS: Among 377 RACD events, 10 890 participants residing within 500 m of index cases were tested. Compared to RDT, LAMP provided a 3-fold and 2.3-fold higher yield to detect infections (1.7% vs 0.6%) and hotspots (29.7% vs 12.7%), respectively. Hotspot detection improved with ≥80% target population coverage and response times within 7 days. Proximity to the index case was associated with a dose-dependent increased infection risk (up to 4-fold). Individual-, index case–, and other RACD-level factors were considered but the simple approach of restricting RACD to a 200-m radius maximized yield and efficiency. CONCLUSIONS: We present the first large-scale national evaluation of optimal RACD approaches from a malaria elimination setting. To inform delivery of antimalarial drugs or other interventions, RACD, when conducted, should utilize more sensitive diagnostics and clear context-specific operational parameters. Future studies of RACD’s impact on transmission may still be needed. Oxford University Press 2020-04-01 2019-05-16 /pmc/articles/PMC7318780/ /pubmed/31095677 http://dx.doi.org/10.1093/cid/ciz403 Text en © The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by/4.0/ 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles and Commentaries
Hsiang, Michelle S
Ntshalintshali, Nyasatu
Kang Dufour, Mi-Suk
Dlamini, Nomcebo
Nhlabathi, Nomcebo
Vilakati, Sibonakaliso
Malambe, Calsile
Zulu, Zulisile
Maphalala, Gugu
Novotny, Joseph
Murphy, Maxwell
Schwartz, Alanna
Sturrock, Hugh
Gosling, Roly
Dorsey, Grant
Kunene, Simon
Greenhouse, Bryan
Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title_full Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title_fullStr Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title_full_unstemmed Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title_short Active Case Finding for Malaria: A 3-Year National Evaluation of Optimal Approaches to Detect Infections and Hotspots Through Reactive Case Detection in the Low-transmission Setting of Eswatini
title_sort active case finding for malaria: a 3-year national evaluation of optimal approaches to detect infections and hotspots through reactive case detection in the low-transmission setting of eswatini
topic Articles and Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318780/
https://www.ncbi.nlm.nih.gov/pubmed/31095677
http://dx.doi.org/10.1093/cid/ciz403
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