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Get Free AccessMalaria infections occurring below the limit of detection of standard diagnostics are common in all endemic settings. However, key questions remain surrounding their contribution to sustaining transmission and whether they need to be detected and targeted to achieve malaria elimination. In this study we analyse a range of malaria datasets to quantify the density, detectability, course of infection and infectiousness of subpatent infections. Asymptomatically infected individuals have lower parasite densities on average in low transmission settings compared to individuals in higher transmission settings. In cohort studies, subpatent infections are found to be predictive of future periods of patent infection and in membrane feeding studies, individuals infected with subpatent asexual parasite densities are found to be approximately a third as infectious to mosquitoes as individuals with patent (asexual parasite) infection. These results indicate that subpatent infections contribute to the infectious reservoir, may be long lasting, and require more sensitive diagnostics to detect them in lower transmission settings.
Hannah Slater, Amanda Ross, Ingrid Felger, Natalie Hofmann, Leanne J. Robinson, Jackie Cook, Bronner P. Gonçalves, Anders Björkman, André Lin Ouédraogo, Ulrika Morris, Mwinyi Msellem, Cristian Koepfli, Ivo Müeller, Fitsum G. Tadesse, Endalamaw Gadisa, Smita Das, Gonzalo J. Domingo, Melissa C. Kapulu, Janet Midega, Seth Owusu‐Agyei, Cécile Nabet, Renaud Piarroux, Ogobara K. Doumbo, Safiatou Doumbo, Kwadwo A. Koram, Naomi W. Lucchi, Venkatachalam Udhayakumar, Jacklin F. Mosha, Alfred B. Tiono, Daniel Chandramohan, Roly Gosling, Felista Mwingira, Robert W. Sauerwein, Richard Paúl, Eleanor M. Riley, Sir Nicholas White, François Nosten, Mallika Imwong, Teun Bousema, Chris Drakeley, Lucy Okell (2019). The temporal dynamics and infectiousness of subpatent Plasmodium falciparum infections in relation to parasite density. Nature Communications, 10(1), DOI: 10.1038/s41467-019-09441-1.
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Type
Article
Year
2019
Authors
41
Datasets
0
Total Files
0
Language
English
Journal
Nature Communications
DOI
10.1038/s41467-019-09441-1
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