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                <text>Predicting COVID-19 Peaks Around the World</text>
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                <text>Constantino Tsallis, Ugur Tirnakli</text>
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                <text>The official data for the time evolution of active cases of COVID-19 pandemics around the world are available online. For all countries, a peak has been either observed (China and South Korea) or is expected in the near future. The approximate dates and heights of those peaks have important epidemiological implications. Inspired by similar complex behavior of volumes of transactions of stocks at the NYSE and NASDAQ, we propose a q-statistical functional form that appears to describe satisfactorily the available data for all countries. Consistently, predictions of the dates and heights of those peaks in severely affected countries become possible unless efficient treatments or vaccines, or sensible modifications of the adopted epidemiological strategies, emerge.</text>
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                <text>Epidemiology, complex systems, nonextensive statistical mechanics, Pandemics, COVID-19</text>
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                <text>DOI: 10.3389/fphy.2020.00217</text>
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                <text>Frontiers in Physics</text>
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                <text>Frontiers Media S.A.</text>
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                <text>Mental health and psychosocial well-being during the COVID-19 pandemic: the invisible elephant in the room</text>
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                <text>Sanni Yaya, Akaninyene Otu, Carlo Handy Charles</text>
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                <text>Abstract The novel SARS-CoV-2 coronavirus pandemic has emerged as a truly formidable threat to humankind’s existence. In the wake of the massively volatile global situation created by COVID-19, it is vital to recognize that the trauma it causes can affect people in different ways, at the individual and collective levels, resulting in mental health challenges for many. Although mental health problems account for about one-third of the world’s disability among adults, these issues tend to be under-addressed and overlooked in society and are closely associated with deadly disease outbreaks. In large scale outbreaks, the mental health problems experienced are not limited to infected persons but also extend to involve frontline health workers and community members alike. While it is crucial to limit the spread of infections during an outbreak, previous experience suggests that mental and behavioural health interventions should be fully included in public health response strategies.</text>
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                <text>2020</text>
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                <text>Outbreak, Mental health, psychosocial well-being, Health inequalities, Pandemic, COVID-19</text>
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                <text>DOI: 10.1186/s13033-020-00371-w</text>
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                <text>International Journal of Mental Health Systems</text>
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                <text>BMC</text>
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                <text>Neurosciences. Biological psychiatry. Neuropsychiatry</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Textile Masks and Surface Covers—A Spray Simulation Method and a “Universal Droplet Reduction Model” Against Respiratory Pandemics</text>
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                <text>Theresa T. Pizarro, Fabio Cominelli, Sanja Ilic, Alex Rodriguez-Palacios, Abigail R. Basson</text>
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                <text>The main form of COVID-19 transmission is via “oral-respiratory droplet contamination” (droplet: very small drop of liquid) produced when individuals talk, sneeze, or cough. In hospitals, health-care workers wear facemasks as a minimum medical “droplet precaution” to protect themselves. Due to the shortage of masks during the pandemic, priority is given to hospitals for their distribution. As a result, the availability/use of medical masks is discouraged for the public. However, for asymptomatic individuals, not wearing masks in public could easily cause the spread of COVID-19. The prevention of “environmental droplet contamination” (EnvDC) from coughing/sneezing/speech is fundamental to reducing transmission. As an immediate solution to promote “public droplet safety,” we assessed household textiles to quantify their potential as effective environmental droplet barriers (EDBs). The synchronized implementation of a universal “community droplet reduction solution” is discussed as a model against COVID-19. Using a bacterial-suspension spray simulation model of droplet ejection (mimicking a sneeze), we quantified the extent by which widely available clothing fabrics reduce the dispersion of droplets onto surfaces within 1.8 m, the minimum distance recommended for COVID-19 “social distancing.” All textiles reduced the number of droplets reaching surfaces, restricting their dispersion to &amp;lt;30 cm, when used as single layers. When used as double-layers, textiles were as effective as medical mask/surgical-cloth materials, reducing droplet dispersion to &amp;lt;10 cm, and the area of circumferential contamination to ~0.3%. The synchronized implementation of EDBs as a “community droplet reduction solution” (i.e., face covers/scarfs/masks and surface covers) will reduce COVID-19 EnvDC and thus the risk of transmitting/acquiring COVID-19.</text>
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                <text>2020</text>
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                <text>coronavirus, Textiles, SARS-CoV-2, COVID-19, respiratory pandemic, cloth masks</text>
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                <text>DOI: 10.3389/fmed.2020.00260</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Abstract While Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is disrupting lives across the globe for everyone, it has a more devastating impact on the health of older adults, especially that of older men. This pandemic has highlighted the crucial importance of considering an individual’s age and biological sex in the clinic in addition to other confounding diseases (Kuchel, G.A, J Am Geriatr Soc, 67, 203, 2019, Tannenbaum, C., Nature, 575 451-458, 2009) As an interdisciplinary team of scientists in immunology, hematology, genomics, bioinformatics, and geriatrics, we have been studying how age and sex shape the human immune system. Herein we reflect on how our recent findings on the alterations of the immune system in aging might contribute to our current understanding of COVID-19 infection rate and disease risk.</text>
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