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1.
Nurs Open ; 8(5): 2369-2384, 2021 09.
Article in English | MEDLINE | ID: covidwho-1355888

ABSTRACT

AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key concepts and knowledge gaps of technology in nursing and the field of infectious diseases. DESIGN: This scoping review followed the methodology of scoping review guidance from Arksey and O'Malley. METHODS: Six databases were searched systematically (PubMed, Web of Science, IEEE Explore, EBSCOhost, Cochrane Library and Summon). After the removal of duplicates, 532 citations were retrieved and 77 were included in the analysis. RESULTS: We identified five major trends in technology for nursing and infectious diseases: artificial intelligence, the Internet of things, information and communications technology, simulation technology and e-learning. Our findings indicate that the most promising trend is the IoT because of the many positive effects validated in most of the reviewed studies.


Subject(s)
Artificial Intelligence , Communicable Diseases , Humans , Infection Control , Technology
2.
Médecine de Catastrophe - Urgences Collectives ; 5(2):137-142, 2021.
Article in English | PMC | ID: covidwho-1270408
3.
Int J Infect Dis ; 102: 17-19, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1060100

ABSTRACT

OBJECTIVE: To describe the characteristics of COVID-19 patients seen in March-April and June-August 2020 in Marseille, France with the aim to investigate possible changes in the disease between these two time periods. METHODS: Demographics, hospitalization rate, transfer to intensive care unit (ICU), lethality, clinical and biological parameters were investigated. RESULTS: Compared to those seen in March-April, COVID-19 patients seen in June-August were significantly younger (39.2 vs. 45.3 years), more likely to be male (52.9% vs. 45.6%), and less likely to be hospitalized (10.7 vs. 18.0%), to be transferred to ICU (0.9% vs. 1.8%) and to die (0.1% vs. 1.1%). Their mean fibrinogen and D-dimer blood levels were lower (1.0 vs. 1.5 g/L and 0.6 vs. 1.1 µg/mL, respectively). By contrast, their viral load was higher (cycle threshold ≤16 = 5.1% vs. 3.7%). CONCLUSIONS: Patients in the two periods did not present marked age and sex differences, but markers of severity were undoubtedly less prevalent in the summer period, associating with a 10 times decrease in the lethality rate.


Subject(s)
COVID-19/epidemiology , Adult , Aged , COVID-19/blood , COVID-19/mortality , Disease Outbreaks , Female , Fibrin Fibrinogen Degradation Products/analysis , France/epidemiology , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , SARS-CoV-2 , Seasons , Time Factors
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