Articles: coronavirus.
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Int J Environ Res Public Health · May 2020
Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve.
The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunization, it is vital to have a thorough understanding of community spread phenomena as related research reports 17.9-30.8% confirmed cases to remain asymptomatic. ⋯ To this end, a self-organizing feature map (SOFM) is trained by using data acquired from past mobile crowdsensing (MCS) campaigns to model mobility patterns of individuals in multiple districts of a city so to maximize the assessed population with minimum agents in the shortest possible time. Through simulation results for a real street map on a mobile crowdsensing simulator and considering the worst case analysis, it is shown that on the 15th day following the first confirmed case in the city under the risk of community spread, AI-enabled mobilization of assessment centers can reduce the unassessed population size down to one fourth of the unassessed population under the case when assessment agents are randomly deployed over the entire city.
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The expression "flatten the curve" has gained significant attention in the midst of the COVID-19 pandemic. The idea is to decrease and/or delay the peak of an epidemic wave so as not to strain or exceed the capacity of healthcare systems. ⋯ This paper provides perspectives on the impact of containment, suppression, and mitigation measures on interdependent workforce sectors. Reflections on the trade-offs between flattening the curve versus personal liberty and socioeconomic disparities are also presented in this paper.
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Concerns have been raised about the potential for renin-angiotensin system (RAS) inhibitors to upregulate expression of angiotensin-converting enzyme 2 (ACE2) and thus increase susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry. Currently, there is no evidence that even if RAS inhibitors increase expression and activity of ACE2, that they would increase the risk of SARS-CoV-2 infection by facilitating greater viral entry or worsen outcomes in patients with COVID-19. At this time, there is no clinical evidence to suggest that treatment with RAS inhibitors should be discontinued in stable patients with COVID-19. In hospitalized patients with severe COVID-19, decisions about these medications should be based on clinical condition, including hemodynamic status and renal function.
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The novel coronavirus has challenged medical systems worldwide to provide optimal medical care in the setting of limited resources. Although we are uncovering many facets of its disease spectrum, with rapidly emerging data, there is still limited knowledge of the sequelae of this infection, making treatment guidelines incomplete and resulting in serious unpredictable outcomes in patients at seemingly low risk, especially ones afflicted by neurological consequences. We present a case of a cortical stroke in a 31-year-old coronavirus disease-19 (COVID-19) positive female with otherwise no stroke risk factors. We noted a correlation between cytokine release, encephalopathy, and the onset of stroke symptoms. Patients with marked pro-thrombotic and inflammatory markers may benefit from closer neurological monitoring and thromboprophylaxis at therapeutic doses. The establishment of acute care pathways to manage critically ill patients with neurological consequences may reverse the suboptimal outcome trends seen during the pandemic.
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Int J Environ Res Public Health · May 2020
Government Intervention, Risk Perception, and the Adoption of Protective Action Recommendations: Evidence from the COVID-19 Prevention and Control Experience of China.
This study examines the relationships between government interventions, risk perception, and the public's adoption of protective action recommendations (PARs) during the COVID-19 coronavirus disease emergency in mainland China. We conducted quota sampling based on the proportion of the population in each province and gender ratios in the Sixth Census and obtained a sample size of 3837. Government intervention was divided into government communication, government prevention and control, and government rescue. ⋯ The effects of government interventions and risk perception on the public's adoption of PARs was not found to vary by region. Risk perception is identified as an important mediating factor between government intervention and the public's adoption of PARs. These results indicate that increasing the public's risk perception is an effective strategy for governments seeking to encourage the public to adopt PARs during the COVID-19 pandemic.