Evidence for Reduced Malaria Parasite Population after Application of Population-Level Antimalarial Drug Strategies in Southern Province, Zambia
A mass drug administration trial was carried out in Southern Province, Zambia, between 2014 and 2016, in conjunction with a standard of care package that included improved surveillance, increased access to malaria case management, and sustained high levels of vector control coverage. This was preced...
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Published in | The American journal of tropical medicine and hygiene Vol. 103; no. 2_Suppl; pp. 66 - 73 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
The American Society of Tropical Medicine and Hygiene
01.08.2020
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Subjects | |
Online Access | Get full text |
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Summary: | A mass drug administration trial was carried out in Southern Province, Zambia, between 2014 and 2016, in conjunction with a standard of care package that included improved surveillance, increased access to malaria case management, and sustained high levels of vector control coverage. This was preceded by mass test and treatment in the same area from 2011 to 2013. Concordant decreases in malaria prevalence in Southern Province and deaths attributed to malaria in Zambia over this time suggest that these strategies successfully reduced the malaria burden. Genetic epidemiological studies were used to assess the consequences of these interventions on parasite population structure. Analysis of parasite material derived from 1,620 rapid diagnostic test (RDT)-positive individuals obtained from studies to evaluate trial outcomes revealed a reduction in the average complexity of infection and consequential increase in the proportion of infections that harbored a single parasite genome (monogenomic infections). Highly related parasites, consistent with inbreeding, were detected after interventions were deployed. Geographical analysis indicated that the highly related infections were both clustered focally and dispersed across the study area. These findings provide genetic evidence for a reduced parasite population, with indications of inbreeding following the application of comprehensive interventions, including drug-based campaigns, that reduced the malaria burden in Southern Province. Genetic data additionally revealed the relationship between individual infections in the context of these population-level patterns, which has the potential to provide useful data for stratification and targeting of interventions to reduce the malaria burden. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors’ addresses: Rachel F. Daniels, Dyann F. Wirth, and Sarah K. Volkman, Harvard T.H. Chan School of Public Health, Boston, MA, E-mails: rdaniels@hsph.harvard.edu, dfwirth@hsph.harvard.edu, and svolkman@hsph.harvard.edu. Stephen F. Schaffner, The Broad Institute of MIT and Harvard, Cambridge, MA, E-mail: sfs@broadinstitute.org. Adam Bennett, Malaria Elimination Initiative, Global Health Group, University of California San Francisco, San Francisco, CA, E-mail: adam.bennett@ucsf.edu. Travis R. Porter, Joshua O. Yukich, and Thomas P. Eisele, Department of Tropical Medicine, Center for Applied Malaria Research and Evaluation, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, E-mails: tporter1@tulane.edu, jyukich@tulane.edu, and teisele@tulane.edu. Conceptor Mulube, Brenda Mambwe, Mulenga C. Mwenda, Sandra Chishimba, Daniel J. Bridges, and John M. Miller, PATH Malaria Control and Elimination Partnership in Africa (MACEPA), Lusaka, Zambia, E-mails: cmulube@path.org, bmambwe@path.org, mchimfwembe@path.org, sandra.chishimba@gmail.com, dbridges@path.org, and jmiller@path.org. Busiku Hamainza and Moonga Hawela, National Malaria Elimination Centre, Zambia Ministry of Health, Lusaka, Zambia, E-mails: bossbusk@gmail.com and mhawela@yahoo.co.uk. Richard W. Steketee, President’s Malaria Initiative, U.S. Agency for International Development, Seattle, WA, E-mail: ris1@cdc.gov. Daniel L. Hartl, Harvard University, Cambridge, MA, E-mail: dhartl@oeb.harvard.edu. Financial support: Financial support for this work was generously provided by the Bill & Melinda Gates Foundation (OPP1053604, Genomic-Based Diagnostics for Elimination and Eradication of Plasmodium). |
ISSN: | 0002-9637 1476-1645 |
DOI: | 10.4269/ajtmh.19-0666 |