Bed bug infestation in a French university hospital: control strategy, financial impact and perspectives.

BACKGROUND: With the increase in international travel and development of insecticide resistance, a re-emergence of the bed bug has been observed since the 2000s and it is becoming a worldwide public health problem. Hospitals and other medical settings have not been spared, while the cases reported remain limited. However, there are no specific recommendations for the healthcare settings in the literature. AIM: To report our experience of a bed bug infestation in a medical unit, in the French University Hospital Centre of Brest, caused by the admission of a patient carrier in October 2020. We described the practical methods used to control bed bugs infestation, evaluated the cost of this episode and created a specific procedure to take care of at-risk patients or known carriers of bed bugs. FINDINGS: The decision to close the unit for global treatment was taken after the investigations using a sniffer dog revealed that four rooms were infested. The closure lasted 24 days. We estimated the total cost of the infestation to be approximately US$400,000. No other wave of infestation occurred. We created a specific protocol of care for patients who were known carriers or at risk of carriage of bed bugs to graduate a strategy of control. CONCLUSION: Bed bug infestations in health facilities have a major impact on the care of patients and relevant economic consequences. Prevention and education policies are an essential starting point to respond to the scale of the phenomenon.

Voxyvi: A system for long-term audio and video acquisitions in neonatal intensive care units.

BACKGROUND: In the European Union, 300,000 newborn babies are born prematurely every year. Their care is ensured in Neonatal Intensive Care Units (NICU) where vital signs are constantly monitored. In addition, other descriptors such as motion, facial and vocal activities have been shown to be essential to assess neurobehavioral development. AIM: In the scope of the European project Digi-NewB, we aimed to develop and evaluate a new audio-video device designed to non-invasively acquire multi-modal data (audio, video and thermal images), while fitting the wide variety of bedding environment in NICU. METHODS: Firstly, a multimodal system and associated software and guidelines to collect data in neonatal intensive care unit were proposed. Secondly, methods for post-evaluation of the acquisition phase were developed, including the study of clinician feedback and a qualitative analysis of the data. RESULTS: The deployment of 19 acquisition devices in six French hospitals allowed to record more than 500 newborns of different gestational and postmenstrual ages. After the acquisition phase, clinical feedback was mostly positive. In addition, quality of more than 300 recordings was inspected and showed that 77% of the data is exploitable. In depth, the percentage of sole presence of the newborn was estimated at 62% within recordings. CONCLUSIONS: This study demonstrates that audio-video acquisitions are feasible on a large scale in real life in NICU. The experience also allowed us to make a clear observation of the requirements and challenges that will have to be overcome in order to set up audio-video monitoring methods.

Video and audio processing in paediatrics: a review.

OBJECTIVE: Video and sound acquisition and processing technologies have seen great improvements in recent decades, with many applications in the biomedical area. The aim of this paper is to review the overall state of the art of advances within these topics in paediatrics and to evaluate their potential application for monitoring in the neonatal intensive care unit (NICU). APPROACH: For this purpose, more than 150 papers dealing with video and audio processing were reviewed. For both topics, clinical applications are described according to the considered cohorts-full-term newborns, infants and toddlers or preterm newborns. Then, processing methods are presented, in terms of data acquisition, feature extraction and characterization. MAIN RESULTS: The paper first focuses on the exploitation of video recordings; these began to be automatically processed in the 2000s and we show that they have mainly been used to characterize infant motion. Other applications, including respiration and heart rate estimation and facial analysis, are also presented. Audio processing is then reviewed, with a focus on the analysis of crying. The first studies in this field focused on induced-pain cries and the newest ones deal with spontaneous cries; the analyses are mainly based on frequency features. Then, some papers dealing with non-cry signals are also discussed. SIGNIFICANCE: Finally, we show that even if recent improvements in digital video and signal processing allow for increased automation of processing, the context of the NICU makes a fully automated analysis of long recordings problematic. A few proposals for overcoming some of the limitations are given.