Performance of the Bioline™ Malaria Ag Pf/Pan and Bioline™ Malaria Ag Pf/Pv for Malaria Diagnostics: Madagascar In-Country Evaluation.

Malaria remains a significant public health concern in Madagascar. The WHO recommends using parasitological methods to confirm Plasmodium infection before treatment. This study evaluated the performance of two rapid diagnostic tests (RDTs), Bioline™ Malaria Ag Pf/Pan (Abbott Point of Care, Princeton, NJ) and Bioline™ Malaria Ag Pf/Pv (Abbott Point of Care, Princeton, NJ), compared with microscopy and polymerase chain reaction (PCR) as reference methods.

Performance of ParaHIT® HRP2-Based Rapid Diagnostic Test and Proportions of Plasmodium falciparum Histidine-Rich Protein 2/3 Gene Deletions in Togo.

In areas where malaria is endemic and microscopes are unavailable, rapid diagnostic tests (RDTs) are essential tools for early diagnosis and prompt and effective treatment. However, HRP2-based RDTs are threatened by the emergence of Plasmodium falciparum parasites that do not carry the pfhrp2 or pfhrp3 gene, leading to false-negative results. Therefore, the aim of this study was to evaluate the performance of the ParaHIT RDT together with the proportion of pfhrp2/3 gene-deleted P.

Plasmodium vivax serological exposure markers: PvMSP1-42-induced humoral and memory B-cell response generates long-lived antibodies.

Plasmodium vivax serological exposure markers (SEMs) have emerged as promising tools for the actionable surveillance and implementation of targeted interventions to accelerate malaria elimination. To determine the dynamic profiles of SEMs in current and past P. vivax infections, we screened and selected 11 P.

Remote sensing of emperor penguin abundance and breeding success.

Emperor penguins (Aptenodytes forsteri) are under increasing environmental pressure. Monitoring colony size and population trends of this Antarctic seabird relies primarily on satellite imagery recorded near the end of the breeding season, when light conditions levels are sufficient to capture images, but colony occupancy is highly variable. To correct population estimates for this variability, we develop a phenological model that can predict the number of breeding pairs and fledging chicks, as well as key phenological events such as arrival, hatching and foraging times, from as few as six data points from a single season.