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Proesmans, S.

Publications and source records attributed to Proesmans, S..

2 recordsLinked to original sources

Dengue and Chikungunya among Febrile Outpatients in Kinshasa, Democratic Republic of Congo: a cross-sectional study

BackgroundPathogens causing acute fever, with the exception of malaria, remain largely unidentified in sub-Saharan Africa, given the local unavailability of diagnostic tests and the broad differential diagnosis.\n\nMethodology/Principal FindingsWe conducted a cross-sectional study including outpatient acute febrile syndromes in both children and adults, between November 2015 and June 2016 in Kinshasa, Democratic Republic of Congo. Serological and molecular diagnostic tests for arboviral infections were performed on blood, including PCR and NS1-RDT for acute, and ELISA and IFAT for past infections.\n\nConclusions/SignificanceAmong 342 patients, aged 2 to 68 years, 45.3% tested positive on malaria Rapid Diagnostic Test. However, 87.7% received antimalarial and 64.3% antibacterial treatment. Further investigation among 235 fever cases revealed 19 (8.1%) acute dengue and 2 (0.9%) acute chikungunya infections, with an important proportion of participants already exposed to flaviviridae (possibly dengue) and alphaviridae (possibly chikungunya) in the past, namely 30.2 % and 26.4% respectively. We found no evidence of exposure to Zika nor yellow fever virus.\n\nAuthor SummarySam Proesmans is a medical doctor, currently doing a fellowship in internal medicine at the University of Antwerp, Belgium. He holds a Master of Public Health from Columbia University, New York City, USA. His primary research interest lies in infectious diseases, from a public health point of view and he believes that this study is proof that the differential diagnosis should include arboviral infection, given the hitherto unseen evidence of high arbivirus infection rates in the Democratic Republic of Congo, in that they are mostly misdiagnosed as malaria or bacterial infections.

microbiology↗

Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback

Auditory attention detection (AAD) is promising for use in auditory-assistive devices to detect to which sound the user is attending. Being able to train subjects in achieving high AAD performance would greatly increase its application potential. In order to do so an acceptable temporal resolution and online implementation are essential prerequisites. Consequently, users of an online AAD can be presented with feedback about their performance. Here we describe two studies that investigate the effects of online AAD with feedback. In the first study, we implemented a fully automated closed-loop system that allows for user-friendly recording environments. Subjects were presented online with visual feedback on their ongoing AAD performance. Following these results we implemented a longitudinal case study in which two subjects were presented with AAD sessions during four weeks. The results prove the feasibility of a fully working online (neuro)feedback system for AAD decoding. The detected changes in AAD for the feedback subject during and after training suggest that changes in AAD may be achieved via training. This is early evidence of such training effects and needs to be confirmed in future studies to evaluate training of AAD in more detail. Finally, the large number of sessions allowed to examine the correlation between the stimuli (i.e. acoustic stories) and AAD performance which was found to be significant. Future studies are suggested to evaluate their acoustic stimuli with care to prevent spurious associations.

neuroscience↗