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- 2020-05-02 (x)
- COVID-19 Research
COVID-19 Research
Show moreBackground: Shortages of personal protective equipment (PPE) including N95 respirators are an urgent concern in the setting of the global COVID-19 pandemic. Decontamination of PPE could be useful to maintain adequate supplies, but there is uncertainty regarding the efficacy of decontamination technologies. Methods: A modification of the American Society for Testing and Materials standard quantitative carrier disk test method (ASTM E-2197-11) was used to examine the effectiveness of 3 methods, including ultraviolet-C (UV-C) light, a high-level disinfection cabinet that generates aerosolized peracetic acid and hydrogen peroxide, and dry heat at 70°C for 30 minutes. We assessed the decontamination of 3 commercial N95 respirators inoculated with methicillin-resistant Staphylococcus aureus (MRSA) and bacteriophages MS2 and Phi6; the latter is an enveloped RNA virus used as a surrogate for coronaviruses. Three and 6 log10 reductions on respirators were considered effective for decontamination and disinfection, respectively. Results: UV-C administered as a 1-minute cycle in a UV-C box or a 30-minute cycle by a room decontamination device reduced contamination but did not meet criteria for decontamination of the viruses from all sites on the N95s. The high-level disinfection cabinet was effective for decontamination of the N95s and achieved disinfection with an extended 31-minute cycle. Dry heat at 70°C for 30 minutes was not effective for decontamination of the bacteriophages. Conclusions: UV-C could be useful to reduce contamination on N95 respirators. However, the UV-C technologies studied did not meet pre-established criteria for decontamination under the test conditions used. The high-level disinfection cabinet was more effective and met criteria for disinfection with an extended cycle. Keywords: N95 respirator; SARS-CoV-2; Ultraviolet-C; decontamination; peracetic acid.
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Show moreWith the arrival of the coronavirus disease (SARS-CoV-2) in the United States, care practice paradigms have drastically changed. Data from China suggest that the new virus poses additional risks as case fatality of patients with cancer was higher at 5.6% compared to 2.3% of the general population. There are three proposed major strategies to address care for patients with cancer in this SARS-CoV-2 pandemic with postponing treatment for those with stable cancer, increasing personal protection provisions for patients with cancer, and increasing monitoring if a patient becomes infected with SARS-CoV-2. In this present commentary, we discuss the unique mental health challenges and burdens of patients with head and neck cancer in the times of the SARS-CoV-2 pandemic and approaches to mitigate these stressors through telemedicine to reduce future burdens to the patient and the health care system. Keywords: corona; covid; head and neck cancer; survival; virus.
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Show moreSARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. The present review is aimed at overviewing the potential applications of AI and Big Data in the global effort to manage the pandemic. Keywords: Big Data; artificial intelligence; epidemiology; public health; viral outbreak.
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