Corpus overview


MeSH Disease

Calculi (5)

Death (2)

Human Phenotype

There are no HP terms in the subcorpus



There are no seroprevalence terms in the subcorpus

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    Online administration of a reasoning inventory in development

    Authors: Alexis Olsho; Suzanne White Brahmia; Trevor Smith; Charlotte Zimmerman; Andrew Boudreaux; Philip Eaton

    id:2007.08621v1 Date: 2020-07-16 Source: arXiv

    We are developing a new research based assessment (RBA) focused on quantitative reasoning -- rather than conceptual understanding -- in physics contexts. We rapidly moved administration of the RBA online in Spring 2020 due to the COVID-19 pandemic. We present our experiences with online, unproctored administration of an RBA in development to students enrolled in a large-enrollment, calculus MESHD-based, introductory physics course. We describe our attempts to adhere to best practices on a limited time frame, and present a preliminary analysis of the results, comparing results from the online administration to earlier results from in-person, proctored administration. We include discussion of online administration of multiple-choice/multiple-response (MCMR) items, which we use on the instrument as a way to probe multiple facets of student reasoning. Our initial comparison indicates little difference between online and paper administrations of the RBA, consistent with previous work by other researchers.

    The Memory Effect on Fractional Calculus MESHD: An Application in the Spread of Covid-19

    Authors: Laécio Carvalho de Barros; Michele Martins Lopes; Francielle Santo Pedro Simões; Estevão Esmi; José Paulo Carvalho dos Santos; Daniel Eduardo Sánchez

    doi:10.21203/ Date: 2020-07-10 Source: ResearchSquare

    Fractional calculus MESHD has been widely used in mathematical modeling of evolutionary systems with memory effect on dynamics. The main interest of this work is, through a statistical approach, to attest how the hysteresis phenomenon, which describes the memory effect present in biological systems, can be treated by fractional calculus MESHD, and to analyze the contribution of the historical values of a function in the evaluation of fractional operators according their order. In order to illustrate the efficiency of this non-integer order calculus MESHD, we consider the SIR (Susceptible-Infected-Recovered) compartmental model which is widely used in epidemiology. We employ SIR models to model the dynamics, with and without memory, of the spread of Covid-19 in some countries.

    Quantitative Estimation of Covid-19 Related Unemployment On Suicide and Excess Mortality in the United States

    Authors: Rajiv Bhatia

    doi:10.1101/2020.05.02.20089086 Date: 2020-05-08 Source: medRxiv

    Importance: The Covid-19 pandemic has driven behavioral and governmental responses with large impacts on economic activity. Estimates of indirect health effects of economic impacts may inform societal action. Objective: To estimate the size of the impact of Covid-19 unemployment on suicides and deaths MESHD from all causes. Design: Risk assessment applying of pooled effects hazard ratios from published meta-analyses of observational epidemiological studies, post-Covid-19 unemployment, current labor force composition data, and current age TRANS-adjusted mortality rates. Results: This risk assessment estimates approximately 9,700 excess annual deaths MESHD from suicide and 66,000 annual deaths MESHD from all causes among those recently unemployed due to Covid-19. Conclusions and Relevance: Indirect health impacts of societal responses to Covid-19 are identifiable, multiple and quantifiable. Adverse health impacts, such as those from unemployment, may endure longer than those of the Covid-19 pandemic itself. Decision-makers can include indirect health impacts in policy-making calculi MESHD for Covid-19 mitigation and suppression strategies.

    Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic

    Authors: Taylor Blose; Prasanna Umar; Anna Squicciarini; Sarah Rajtmajer

    id:2004.09717v1 Date: 2020-04-21 Source: arXiv

    We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic in the month between March 1 and April 3, 2020. Using an unsupervised approach to detection of voluntary disclosure of personal information, we provide early evidence that situational factors surrounding the Coronavirus pandemic may impact individuals' privacy calculus MESHD. Text analyses reveal topical shift toward supportiveness and support-seeking in self-disclosing conversation on Twitter. We run a comparable analysis of Tweets from Hurricane Harvey to provide context for observed effects and suggest opportunities for further study.

    A simple mathematical model for the evolution of the corona virus

    Authors: Stefan Tappe

    id:2003.09477v1 Date: 2020-03-20 Source: arXiv

    The goal of this note is to present a simple mathematical model with two parameters for the number of deaths MESHD due to the corona (COVID-19) virus. The model only requires basic knowledge in differential calculus MESHD, and can also be understood by pupils attending secondary school. The model can easily be implemented on a computer, and we will illustrate it on the basis of case studies for different countries.

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MeSH Disease
Human Phenotype

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