scholarly journals Comparative Study of Pathogenic Viruses Carried on Pairs of Species

2021 ◽  
Author(s):  
Xin Zhang ◽  
Zhaoyu Pan ◽  
Jeffrey Zheng

Abstract The new coronavirus was checked on December 12, 2019, and spread rapidly over time. It has become a public health event spreading around the world. Until this time, the source of the virus remains controversial. In this paper, a series of SARS-CoV-2 genomes were collected using the A1 module of the MAS for visualization. Pairs of genomes are compared under similarity relationships between SARS-CoV-2 and other deadly viruses carried by different species. Through the proposed method of variant construction, it provides important information to understand similarity properties among genomes. The comparison mechanism provides an efficient and fast similarity mode to compare with a whole genome at multiple levels of hierarchical measurements to provide variation information on internal correlation to a certain extent. Sample results are intuitively expressed through a list of 1D visual line charts for various distributions.

2020 ◽  
Author(s):  
Xin Zhang ◽  
Zhaoyu Pan ◽  
Jeffrey Zheng

Abstract The new coronavirus was checked on December 12, 2019, and spread rapidly over time. It has become a public health event spreading around the world. Until this time, the source of the virus remains controversial. In this paper, a series of SARS-CoV-2 genomes were collected using the A1 module of the MAS for visualization. Pairs of genomes are compared under similarity relationships between SARS-CoV-2 and other deadly viruses carried by different species. Through the proposed method of variant construction, it provides important information to understand similarity properties among genomes. The comparison mechanism provides an efficient and fast similarity mode to compare with a whole genome at multiple levels of hierarchical measurements to provide variation information on internal correlation to a certain extent. Sample results are intuitively expressed through a list of 1D visual line charts for various distributions.


2019 ◽  
Vol 34 (4) ◽  
Author(s):  
Amy Moran-Thomas

Long-accepted models of causality cast diseases into the binary of either “contagious” or “non-communicable,” typically with institutional resources focused primarily on interrupting infectious disease transmission. But in southern Belize, as in much of the world today, epidemic diabetes has become a leading cause of death and a notorious contributor to organ failure and amputated limbs. This ethnographic essay follows caregivers’ and families’ work to survive in-between public health categories, and asks what responses a bifurcated model of infectious versus non-communicable disease structures or incapacitates in practice. It proposes an alternative focus on diabetes as a “para-communicable” condition—materially transmitted as bodies and ecologies intimately shape each other over time, with unequal and compounding effects for historically situated groups of people. The article closes by querying how communicability relates to community, and why it matters to reframe narratives about contributing causalities in relation to struggles for treatment access.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256153
Author(s):  
Will E. Hipson ◽  
Saif M. Mohammad

Emotion dynamics is a framework for measuring how an individual’s emotions change over time. It is a powerful tool for understanding how we behave and interact with the world. In this paper, we introduce a framework to track emotion dynamics through one’s utterances. Specifically we introduce a number of utterance emotion dynamics (UED) metrics inspired by work in Psychology. We use this approach to trace emotional arcs of movie characters. We analyze thousands of such character arcs to test hypotheses that inform our broader understanding of stories. Notably, we show that there is a tendency for characters to use increasingly more negative words and become increasingly emotionally discordant with each other until about 90% of the narrative length. UED also has applications in behavior studies, social sciences, and public health.


Author(s):  
Érika Do Amaral Véras ◽  
Romulo Rhemo Palitot Braga

No Brasil, assim como em diversos países do mundo, principalmente os países em desenvolvimento, o abortamento representa um grave problema de saúde pública, justiça social e direitos humanos, tornando o aspecto penal apenas um detalhe. Este estudo pretende conceder uma visão geral sob a temática do aborto, trazendo as principais mudanças sobre o assunto ao longo do tempo e, em especial, o atual posicionamento do Poder Judiciário brasileiro. Para tanto, o método de abordagem escolhido para elaboração do presente artigo foi o dedutivo, o método de procedimento foi o histórico e a técnica de pesquisa a bibliográfica.  WOMAN AND THE RIGHT TO THE OWN BODY: THE GUARDIANSHIP OF ABORTIONABSTRACT In Brazil, as well as in several countries of the world, especially developing countries, abortion represents a serious problem of public health, social justice and human rights, making the criminal aspect only a detail. This study intends to give an overview on abortion, bringing the main changes on the subject over time and, in particular, the current position of the Brazilian Judiciary. For this, the method of approach chosen for the elaboration of the present article was the deductive, the method of procedure was the historical and the research technique the bibliographic. KEYWORDS Abortion; Crime; Right.


SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401983436
Author(s):  
Isaac Adisah-Atta ◽  
Eugene Emeka Dim

Abortion is an essential social and public health issue. The diverse opinions about abortion originate from several factors that affect attitudes toward abortion. Using the world-value survey (2010-2014), this study sought to understand if Ghanaians and Nigerians justify abortion and the factors that inform why they justify abortion. Various sociodemographic variables (religion, religious attendance, gender, and the number of children born) were used to understand their association with justification for abortion. The results here replicate what other studies have found, with emphasis on the relationship that exists between sex and justification of abortion. The study revealed the influence of religion and religious attendance on justifying abortion cut across Ghana and Nigeria. The findings carry implications as to how the debate on abortion can be undertaken in West Africa.


This chapter looks at the state of well-being measurement, as well as measurement’s role in advancing both a well-being agenda and actual well-being outcomes. A shift is underway around the world to define and measure the conditions and outcomes of equitable well-being. From the World Health Organization (WHO) to the Organisation for Economic Co-operation and Development (OECD), economic and public health leaders are helping to promote an evidence-based understanding of human well-being. Global commissions charged with refining measures of progress have also advocated for the inclusion of well-being indicators. Ultimately, measurement has the potential to motivate and persuade people and institutions to act; it galvanizes people to address well-being across political divides; it helps capture and reflect on differences in well-being between populations, over time, and across places; it can drive narratives and discourse about well-being; and it can be used to establish accountability. The chapter then assesses what makes measures meaningful, how to interpret and use data to drive change, and the next steps for measuring well-being.


Author(s):  
Pinaki Pal

The world is facing multi-wave transmission of COVID-19 pandemics, and investigations are rigorously carried out on modeling the dynamics of the pandemic. Multi-wave transmission during infectious disease epidemics is a big challenge to public health. Here we introduce a simple mathematical model, the double sigmoidal-Boltzmann equation (DSBE), for analyzing the multi-wave Covid-19 spread in Iceland in terms of the number of cumulative cases. Simulation results and the main parameters that characterize multi waves are derived, yielding important information about the behavior of the multi-wave pandemics over time. The result of the current examination reveals the effectiveness and efficacy of DSBE for exploring the Covid 19 dynamics in Iceland and can be employed to examine the pandemic situation in different countries undergoing multi-waves.


2021 ◽  
Vol 11 (8) ◽  
pp. 3512
Author(s):  
Siavash Iravani ◽  
Rajender S. Varma

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-initiated outbreak of COVID-19 has spread rapidly around the world, posing a huge threat to public health. Natural oligo- and polysaccharides with low toxicity, good sustainability, high biocompatibility, respectable safety, immune regulation, and antiviral activity can be employed as promising candidates for the prevention and inhibition of viral infections, especially COVID-19. Glycosaminoglycans, marine polysaccharides, terrestrial plant polysaccharides, and some others have exhibited potential antiviral activity against pathogenic viruses, in the format of polysaccharide-centered vaccine adjuvants, nano-based structures, drug conveyance platforms, etc. In this review, significant recent advancements pertaining to the antiviral applications of oligo- and polysaccharides against SARS-CoV-2 are highlighted, including important challenges and future perspectives.


2001 ◽  
pp. 13-17
Author(s):  
Serhii Viktorovych Svystunov

In the 21st century, the world became a sign of globalization: global conflicts, global disasters, global economy, global Internet, etc. The Polish researcher Casimir Zhigulsky defines globalization as a kind of process, that is, the target set of characteristic changes that develop over time and occur in the modern world. These changes in general are reduced to mutual rapprochement, reduction of distances, the rapid appearance of a large number of different connections, contacts, exchanges, and to increase the dependence of society in almost all spheres of his life from what is happening in other, often very remote regions of the world.


Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.


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