PeerJ
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The SARS-CoV-2 coronavirus is wreaking havoc globally, yet, as a novel pathogen, knowledge of its biology is still emerging. Climate and seasonality influence the distributions of many diseases, and studies suggest at least some link between SARS-CoV-2 and weather. One such study, building species distribution models (SDMs), predicted SARS-CoV-2 risk may remain concentrated in the Northern Hemisphere, shifting northward in summer months. ⋯ Ultimately, the temporal and geographic constraints on this study mean that we cannot rule out climate as a partial driver of the SARS-CoV-2 distribution. Climate's role on SARS-CoV-2 should continue to be cautiously examined, but at this time we should assume that SARS-CoV-2 will continue to spread anywhere in the U. S. where governmental policy does not prevent spread.
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Elbow and wrist chronic conditions are very common among musculoskeletal problems. These painful conditions affect muscle function, which ultimately leads to a decrease in the joint's Range Of Motion (ROM). Due to their portability and ease of use, goniometers are still the most widespread tool for measuring ROM. Inertial sensors are emerging as a digital, low-cost and accurate alternative. However, whereas inertial sensors are commonly used in research studies, due to the lack of information about their validity and reliability, they are not widely used in the clinical practice. The goal of this study is to assess the validity and intra-inter-rater reliability of inertial sensors for measuring active ROM of the elbow and wrist. ⋯ Inertial sensors are a valid and reliable tool for measuring elbow and wrist active ROM. Particularly noteworthy is their high inter-rater reliability, often questioned in measurement tools. The lowest reliability is observed in elbow prono-supination, probably due to skin artifacts. Based on these results and their advantages, inertial sensors can be considered a valid assessment tool for wrist and elbow ROM.
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This systematic review aimed to investigate the psychometric properties of the school health's assessment tools in primary schools through COSMIN Risk of Bias checklist. We examined the studies that have addressed the measurement properties of school-health instruments to give a clear overview of the quality of all available tools measuring school health in primary schools. This systematic review was registered in PROPERO with the Registration ID: CRD42020158158. ⋯ The number of studies addressing school health assessment tools was very low and therefore not sufficient. Hence, there is a serious need to investigate the psychometric properties of the available instruments measuring school health at primary schools. Moreover, the studies included in the present systematic review did not fulfill all the criteria of the COSMIN checklist for assessing measurement properties. We suggest that future studies consider these criteria for measuring psychometric properties and developing school health assessment tools.
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Obesity is a global epidemic in the industrialized and developing world, and many children suffer from obesity-related complications. Gut microbiota dysbiosis might have significant effect on the development of obesity. The microbiota continues to develop through childhood and thus childhood may be the prime time for microbiota interventions to realize health promotion or disease prevention. Therefore, it is crucial to understand the structure and function of pediatric gut microbiota. ⋯ Our results showed a decrease in gut microbiota abundance and diversity as the BMI increased. Variations in the bacterial community structure were associated with obesity. Gut microbiota dysbiosis might play a crucial part in the development of obesity in Chinese children.
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Coronovirus disease 2019 (COVID-19) infection, which originated from Wuhan, China, has seized the whole world in its grasp and created a huge pandemic situation before humanity. Since December 2019, genomes of numerous isolates have been sequenced and analyzed for testing confirmation, epidemiology, and evolutionary studies. In the first half of this article, we provide a detailed review of the history and origin of COVID-19, followed by the taxonomy, nomenclature and genome organization of its causative agent Severe Acute Respiratory Syndrome-related Coronavirus-2 (SARS-CoV-2). ⋯ A total of 100-nucleotide segment-based homology studies revealed that the majority of the SARS-CoV-2 genome segments are close to Bat CoV, followed by some to Pangolin CoV, and some are unique ones. Open pan-genome of genus Betacoronavirus members indicates the diversity contributed by the novel viruses emerging in this group. Overall, the exploration of the diversity of these isolates, mutational hotspots and pan-genome will shed light on the evolution and pathogenicity of SARS-CoV-2 and help in developing putative methods of diagnosis and treatment.