Abstract
AbstractIn the thirteen years since the first report ofpfhrp2-deleted parasites in 2010, the World Health Organization (WHO) has found that 40 of 47 countries surveyed worldwide have reportedpfhrp2/3gene deletions. Due to a high prevalence ofpfhrp2/3deletions causing false-negative HRP2 RDTs, in the last five years, Eritrea, Djibouti and Ethiopia have switched or started switching to using alternative RDTs, that target pan-specific-pLDH orP. falciparumspecific-pLDH alone of in combination with HRP2. However, manufacturing of alternative RDTs has not been brought to scale and there are no WHO prequalified combination tests that use Pf-pLDH instead of HRP2 forP. falciparumdetection. For these reasons, the continued spread ofpfhrp2/3deletions represents a growing public health crisis that threatens efforts to control and eliminateP. falciparummalaria. National malaria control programmes, their implementing partners and test developers desperately seekpfhrp2/3deletion data that can inform their immediate and future resource allocation. In response, we use a mathematical modelling approach to evaluate the global risk posed bypfhrp2/3deletions and explore scenarios for how deletions will continue to spread in Africa. We incorporate current best estimates of the prevalence ofpfhrp2/3deletions and conduct a literature review to estimate model parameters known to impact the selection ofpfhrp2/3deletions for each malaria endemic country. We identify 20 countries worldwide to prioritise for surveillance and future deployment of alternative RDT, based on quickly selecting forpfhrp2/3deletions once established. In scenarios designed to explore the continued spread of deletions in Africa, we identify 10 high threat countries that are most at risk of deletions both spreading to and subsequently being rapidly selected for. If HRP2-based RDTs continue to be relied on for malaria case management, we predict that the major route forpfhrp2deletions to spread is south out from the current hotspot in the Horn of Africa, moving through East Africa over the next 20 years. We explore the variation in modelled timelines through an extensive parameter sensitivity analysis and despite wide uncertainties, we identify three countries that have not yet switched RDTs (Senegal, Zambia and Kenya) that are robustly identified as high risk forpfhrp2/3deletions. These results provide a refined and updated prediction model for the emergence ofpfhrp2/3deletions in an effort to help guidepfhrp2/3policy and prioritise future surveillance efforts and innovation.
Publisher
Cold Spring Harbor Laboratory
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