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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7318780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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