Articles: covid-19.
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Unlike developed countries which have purely intensivists also called critical care physicians or intensive care physicians to manage critically ill patients like those with severe forms of COVID-19, the practice of critical care medicine in Africa is coined to anaesthesiology. Hence, anaesthesiologist-intensivist physicians are the medical specialists taking care of critically ill COVID-19 patients in Africa. Likewise, unlike intensive care units (ICUs) in high income countries, those in most African countries face the challenge of a lack of emergency drugs and resuscitation equipment, limited health infrastructure and understaffed and underfunded health care systems. ⋯ However, despites the numerous efforts made in African anaesthesiologist-Intensivist phycisians to care for critically ill COVID-19 patients, the pandemic is spreading at a rapid rate across Africa. There is an urgent need for African health authorities to anticipate on how to scale up the future high ICU capacity needs and limited ICU workforce, infrastructure and equipment to manage severe forms of COVID-19 in future. It cannot be overemphasized that these severe forms of COVID-19 are potentially fatal and are a major contributor to the death toll of the COVID-19 pandemic.
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Frontiers in psychology · Jan 2020
Ageism and Behavior Change During a Health Pandemic: A Preregistered Study.
The COVID-19 pandemic has led to a suspected surge of ageism in America and has imposed critical health and safety behavior modifications for people of all ages (Ayalon et al., 2020; Lichtenstein, 2020). Given that older adults are a high-risk group, maintaining their safety has been paramount in implementing preventive measures (i.e., more handwashing, social distancing); however, making such behavior modifications might be contingent on how one views older adults (i.e., ageist stereotypes). Therefore, the goal of the current pre-registered study was to explore if hostile and benevolent ageism relate to pandemic-related fear and behavior change. ⋯ Higher hostile ageism predicted lower pandemic-related behavior modification. Those high in benevolent ageism reported lower behavior change, but also reported higher pandemic-related fear; however, when pandemic-related fear was considered a mediator between the two, the directionality between benevolent ageism and behavior change switched, indicating a suppression effect. These findings highlight that ageist attitudes do predict responses to the pandemic and that hostile and benevolent ageism are distinct facets that have unique implications during a health pandemic.
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Front Public Health · Jan 2020
Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era.
Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and telemedicine have identified gaps in uptake and implementation of telemedicine or telehealth across geographics and medical specialties. This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare. We postulate that the artificial intelligence assisted telemedicine framework would be indispensable in creating futuristic and resilient health systems that can support communities amidst pandemics.
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Technol. Cancer Res. Treat. · Jan 2020
Challenges for a Cancer Center in the Novel Coronavirus Pneumonia Epidemic.
The novel Coronavirus disease 2019 pandemic is sweeping through China, posing the greatest ever threat to its public health and economy. As a tertiary cancer center in Southwest China, we formulated and implemented an anti-infection protocol to prevent the spread of Coronavirus disease 2019 in our department. ⋯ Challenges from the Coronavirus disease 2019 pandemic remain in our community. The anti-infection protocol implemented at our cancer center has been effective in preventing cross-infection. Whether our anti-infection protocol experience can be applied to curb the spread of the infection in other parts of the world remains to be tested.
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The novel Coronavirus Disease 2019 (COVID-19) pandemic is having a profound impact on global healthcare. Shortages in staff, operating theatre space and intensive care beds has led to a significant reduction in the provision of surgical care. Even vascular surgery, often insulated from resource scarcity due to its status as an urgent specialty, has limited capacity due to the pandemic. Furthermore, many vascular surgical patients are elderly with multiple comorbidities putting them at increased risk of COVID-19 and its complications. There is an urgent need to investigate the impact on patients presenting to vascular surgeons during the COVID-19 pandemic. ⋯ The COvid-19 Vascular sERvice (COVER) study has been designed to investigate the worldwide impact of the COVID-19 pandemic on vascular surgery, at both service provision and individual patient level. COVER is running as a collaborative study through the Vascular and Endovascular Research Network (VERN), an independent, international vascular research collaborative with the support of numerous national and international organisations). The study has 3 'Tiers': Tier 1 is a survey of vascular surgeons to capture longitudinal changes to the provision of vascular services within their hospital; Tier 2 captures data on vascular and endovascular procedures performed during the pandemic; and Tier 3 will capture any deviations to patient management strategies from pre-pandemic best practice. Data submission and collection will be electronic using online survey tools (Tier 1: SurveyMonkey® for service provision data) and encrypted data capture forms (Tiers 2 and 3: REDCap® for patient level data). Tier 1 data will undergo real-time serial analysis to determine longitudinal changes in practice, with country-specific analyses also performed. The analysis of Tier 2 and Tier 3 data will occur on completion of the study as per the pre-specified statistical analysis plan.