Author
Listed:
- Hannah C. Slater
(MRC Centre for Outbreak Analysis and Modelling, Faculty of Medicine, Imperial College London)
- Amanda Ross
(Swiss Tropical and Public Health Institute
University of Basel)
- André Lin Ouédraogo
(Institute for Disease Modelling
Centre National de Recherche et de Formation sur le Paludisme)
- Lisa J. White
(Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University
Centre for Tropical Medicine, University of Oxford)
- Chea Nguon
(National Malaria Center, Ministry of Health)
- Patrick G.T. Walker
(MRC Centre for Outbreak Analysis and Modelling, Faculty of Medicine, Imperial College London)
- Pengby Ngor
(Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University
National Malaria Center, Ministry of Health)
- Ricardo Aguas
(Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University)
- Sheetal P. Silal
(University of Cape Town)
- Arjen M. Dondorp
(Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University
Centre for Tropical Medicine, University of Oxford)
- Paul La Barre
(PATH)
- Robert Burton
(PATH)
- Robert W. Sauerwein
(Radboud University Medical Center)
- Chris Drakeley
(London School of Hygiene & Tropical Medicine)
- Thomas A. Smith
(Swiss Tropical and Public Health Institute
University of Basel)
- Teun Bousema
(Radboud University Medical Center
London School of Hygiene & Tropical Medicine)
- Azra C. Ghani
(MRC Centre for Outbreak Analysis and Modelling, Faculty of Medicine, Imperial College London)
Abstract
Mass-screen-and-treat and targeted mass-drug-administration strategies are being considered as a means to interrupt transmission of Plasmodium falciparum malaria. However, the effectiveness of such strategies will depend on the extent to which current and future diagnostics are able to detect those individuals who are infectious to mosquitoes. We estimate the relationship between parasite density and onward infectivity using sensitive quantitative parasite diagnostics and mosquito feeding assays from Burkina Faso. We find that a diagnostic with a lower detection limit of 200 parasites per microlitre would detect 55% of the infectious reservoir (the combined infectivity to mosquitoes of the whole population weighted by how often each individual is bitten) whereas a test with a limit of 20 parasites per microlitre would detect 83% and 2 parasites per microlitre would detect 95% of the infectious reservoir. Using mathematical models, we show that increasing the diagnostic sensitivity from 200 parasites per microlitre (equivalent to microscopy or current rapid diagnostic tests) to 2 parasites per microlitre would increase the number of regions where transmission could be interrupted with a mass-screen-and-treat programme from an entomological inoculation rate below 1 to one of up to 4. The higher sensitivity diagnostic could reduce the number of treatment rounds required to interrupt transmission in areas of lower prevalence. We predict that mass-screen-and-treat with a highly sensitive diagnostic is less effective than mass drug administration owing to the prophylactic protection provided to uninfected individuals by the latter approach. In low-transmission settings such as those in Southeast Asia, we find that a diagnostic tool with a sensitivity of 20 parasites per microlitre may be sufficient for targeted mass drug administration because this diagnostic is predicted to identify a similar village population prevalence compared with that currently detected using polymerase chain reaction if treatment levels are high and screening is conducted during the dry season. Along with other factors, such as coverage, choice of drug, timing of the intervention, importation of infections, and seasonality, the sensitivity of the diagnostic can play a part in increasing the chance of interrupting transmission. This article has not been written or reviewed by Nature editors. Nature accepts no responsibility for the accuracy of the information provided.
Suggested Citation
Hannah C. Slater & Amanda Ross & André Lin Ouédraogo & Lisa J. White & Chea Nguon & Patrick G.T. Walker & Pengby Ngor & Ricardo Aguas & Sheetal P. Silal & Arjen M. Dondorp & Paul La Barre & Robert Bur, 2015.
"Assessing the impact of next-generation rapid diagnostic tests on Plasmodium falciparum malaria elimination strategies,"
Nature, Nature, vol. 528(7580), pages 94-101, December.
Handle:
RePEc:nat:nature:v:528:y:2015:i:7580:d:10.1038_nature16040
DOI: 10.1038/nature16040
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Cited by:
- Lorenzo Cáceres Carrera & Carlos Victoria & Jose L Ramirez & Carmela Jackman & José E Calzada & Rolando Torres, 2019.
"Study of the epidemiological behavior of malaria in the Darien Region, Panama. 2015–2017,"
PLOS ONE, Public Library of Science, vol. 14(11), pages 1-30, November.
- Ellie Sherrard-Smith & Corine Ngufor & Antoine Sanou & Moussa W. Guelbeogo & Raphael N’Guessan & Eldo Elobolobo & Francisco Saute & Kenyssony Varela & Carlos J. Chaccour & Rose Zulliger & Joseph Wagma, 2022.
"Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data,"
Nature Communications, Nature, vol. 13(1), pages 1-9, December.
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