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Plasmodium malariae contributes to high levels of malaria transmission in a forest–savannah transition area in Cameroon | Parasites & Vectors

Malaria control efforts are highly skewed towards Plasmodium falciparum while overlooking other Plasmodium species such as P. malariae. A better understanding of the role of Plasmodium species other than P. falciparum is needed to strengthen malaria elimination initiatives. The aim of the present study was to elucidate the contribution of P. malariae to malaria transmission in Cameroon. The study was conducted in the Ngatti Health District, a forest–savannah transition area in the Adamawa Region, Cameroon. A total of 497 individuals aged from 1 to 85 years were diagnosed with malaria in November 2020 using a rapid diagnostic test (RDT) and microscopy. Adult mosquitoes were collected between September 2019 and March 2020 by indoor aspiration and identified morphologically and molecularly. The infection status of Plasmodium spp. was also determined by quantitative PCR, and dried blood spots were collected from 156 participants with the aim to detect different Plasmodium sp ....

San Diego , United States , Rdts Carestart , Graphpad Software Inc , Access Bio Inc , Microsoft Corp , Adamawa Region , Access Bio , Kapa Taq , Microsoft Excel ,

Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection | BMC Infectious Diseases

The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. T-SPOT, lymphocyte characteristic detection, and routine laboratory tests were performed on participants. Diagnostic models were built according to various algorithms. A total of 892 participants (468 ATB and 424 LTBI) and another 263 participants (125 ATB and 138 LTBI), were respectively enrolled at Tongji Hospital (discovery cohort) and Sino-French New City Hospital (validation cohort). Receiver operating characteristic (ROC) curve analysis showed that the value of individual indicator for differentiating ATB from LTBI was limited (area under the ROC curve (AUC) < 0.8). A total of 28 models were successfully established using machine learning. Among t ....

Grand Island , United States , United Kingdom , San Diego , Baden Wüberg , Region Flamande , Becton Dickinson Golgiplug , Oxford Immunotec , Huazhong University Of Science , Graphpad Prism Software , Graphpad Software Inc , Rr Core Team , Sciences Inc , Sysmex Co , Java Tm Se Development Kit , Tongji Medical College , Tongji Hospital , Sino French New City Hospital , Huazhong University , Diagnostic Stago , San Jose , Leukocyte Activation Cocktail , Graphpad Software , Social Sciences Inc ,