Graph modelling for tracking the COVID-19 pandemic spread

2021 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Rasim Alguliyev ◽  
Ramiz Aliguliyev ◽  
Farhad Yusifov
Keyword(s):  
Social Distance ◽  
Graph Model ◽  
Future Research ◽  
Factors Affecting ◽  
Multiple Factors ◽  
The Social ◽  
Hypothetical Scenario ◽  
Reverse Analysis ◽  
Epidemiological Characteristics ◽  
The Impact

The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases. Currently, the modelling of a complex system such as the spread of COVID-19 infection is among the topical issues. The aim of this article is graph-based modelling of the COVID-19 infection spread. The article investigates the studies related to the modelling of COVID-19 pandemic and analyses the factors affecting the spread of the disease and its main characteristics. We propose a conceptual model of COVID-19 epidemic by considering the social distance, the duration of contact with an infected person and their location-based demographic characteristics. Based on the hypothetical scenario of the spread of the virus, a graph model of the process are developed starting from the first confirmed infection case to human-to-human transmission of the virus and visualized by considering the epidemiological characteristics of COVID-19. The application of graph for the pandemic modelling allows for considering multiple factors affecting the epidemiological process and conducting numerical experiments. The advantage of this approach is justified with the fact that it enables the reverse analysis the spread as a result of the dynamic record of detected cases of the infection in the model. This approach allows for to determining undetected cases of infection based on the social distance and duration of contact and eliminating the uncertainty significantly. Note that social, economic, demographic factors, the population density, mental values and etc. affect the increase in number of cases of infection and hence, the research was not able to consider all factors. In future research will analyze multiple factors impacting the number of infections and their use in the models will be considered.

scholarly journals Graph modelling for tracking the COVID-19 pandemic spread

2021 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Rasim Alguliyev ◽  
Ramiz Aliguliyev ◽  
Farhad Yusifov
Keyword(s):  
Social Distance ◽  
Graph Model ◽  
Future Research ◽  
Factors Affecting ◽  
Multiple Factors ◽  
The Social ◽  
Hypothetical Scenario ◽  
Reverse Analysis ◽  
Epidemiological Characteristics ◽  
The Impact

The modelling is widely used in determining the best strategies for the mitigation of the impact of infectious diseases. Currently, the modelling of a complex system such as the spread of COVID-19 infection is among the topical issues. The aim of this article is graph-based modelling of the COVID-19 infection spread. The article investigates the studies related to the modelling of COVID-19 pandemic and analyses the factors affecting the spread of the disease and its main characteristics. We propose a conceptual model of COVID-19 epidemic by considering the social distance, the duration of contact with an infected person and their location-based demographic characteristics. Based on the hypothetical scenario of the spread of the virus, a graph model of the process are developed starting from the first confirmed infection case to human-to-human transmission of the virus and visualized by considering the epidemiological characteristics of COVID-19. The application of graph for the pandemic modelling allows for considering multiple factors affecting the epidemiological process and conducting numerical experiments. The advantage of this approach is justified with the fact that it enables the reverse analysis the spread as a result of the dynamic record of detected cases of the infection in the model. This approach allows for to determining undetected cases of infection based on the social distance and duration of contact and eliminating the uncertainty significantly. Note that social, economic, demographic factors, the population density, mental values and etc. affect the increase in number of cases of infection and hence, the research was not able to consider all factors. In future research will analyze multiple factors impacting the number of infections and their use in the models will be considered.

Psychosocial factors affecting patients with end-stage kidney disease and the impact of the social worker

2021 ◽  
Author(s):  
Micaella Sotera Hansen ◽  
Wubshet Tesfaye ◽  
Beena Sewlal ◽  
Bharati Mehta ◽  
Kamal Sud ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Psychosocial Factors ◽  
Social Worker ◽  
End Stage Kidney Disease ◽  
Factors Affecting ◽  
The Social ◽  
End Stage ◽  
The Impact

Marital Satisfaction of Portuguese Families in Times of Social Lockdown

2021 ◽  
pp. 106648072110098
Author(s):  
Carla Sílvia Fernandes ◽  
Bruno Magalhães ◽  
Sílvia Silva ◽  
Beatriz Edra
Keyword(s):  
Marital Satisfaction ◽  
Exploratory Study ◽  
Social Economic ◽  
Future Research ◽  
Marital Relations ◽  
The Social ◽  
The Family ◽  
Convenience Sampling ◽  
Global Threat ◽  
The Impact

The COVID-19 pandemic represents a global threat and crisis situation, and its wide-reaching impact has also affected marital satisfaction. Dysfunction of the marital system puts the survival of the family unit at risk. This research aimed to determine the level of marital satisfaction of Portuguese families during the social lockdown and the association between the variables under study. A descriptive, exploratory study was conducted. During the social lockdown, 276 people of Portuguese nationality and residing in Portugal were recruited using nonprobabilistic convenience sampling. Marital satisfaction in the pandemic phase showed low values that may be associated with the social, economic, and political context experienced by the pandemic situation. Future research must be carried out in order to identify, prevent, and intervene in situations of violence. In addition, future research should explore not only marital satisfaction during the current pandemic but a more systemic assessment of marital relations during crises, expanding the impact of marital satisfaction in family functioning.

scholarly journals Effect of Train-Induced Wind on the Transmission of COVID-19: A New Insight into Potential Infectious Risks

2021 ◽  
Vol 18 (15) ◽  
pp. 8164
Author(s):  
Simin Zou ◽  
Xuhui He
Keyword(s):  
Social Distance ◽  
Quantitative Research ◽  
Virus Transmission ◽  
Passenger Safety ◽  
The Social ◽  
Gaussian Puff ◽  
The Impact ◽  
The Relationship ◽  
Fresh Insight ◽  
Moving Train

The unprecedented COVID-19 pandemic has caused a traffic tie-up across the world. In addition to home quarantine orders and travel bans, the social distance guideline of about six feet was enacted to reduce the risk of contagion. However, with recent life gradually returning to normal, the crisis is not over. In this research, a moving train test and a Gaussian puff model were employed to investigate the impact of wind raised by a train running on the transmission and dispersion of SARS-CoV-2 from infected individuals. Our findings suggest that the 2 m social distance guideline may not be enough; under train-induced wind action, human respiratory disease-carrier droplets may travel to unexpected places. However, there are deficiencies in passenger safety guidelines and it is necessary to improve the quantitative research in the relationship between train-induced wind and virus transmission. All these findings could provide a fresh insight to contain the spread of COVID-19 and provide a basis for preventing and controlling the pandemic virus, and probe into strategies for control of the disease in the future.

scholarly journals An Initial Investigation of the Generalization of a School-Based Social Competence Intervention for Youth with High-Functioning Autism

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Carla Schmidt ◽  
Janine P. Stichter ◽  
Kristin Lierheimer ◽  
Stephanie McGhee ◽  
Karen V. O'Connor
Keyword(s):  
Social Competence ◽  
High Functioning Autism ◽  
School Setting ◽  
Future Research ◽  
Expression Recognition ◽  
High Functioning ◽  
School Based ◽  
The Social ◽  
Future Research Directions ◽  
The Impact

This study evaluated the impact of generalization of the Social Competence Intervention-Adolescent (SCI-A) curriculum in a school setting for individuals with high-functioning autism or Asperger's Syndrome (). This study examined to what degree the generalization of the SCI-A curriculum could be measured when delivered in a school setting. Across the six participants preliminary results suggest improvement on teacher reports of social skills and executive functioning. Some improvements were also evident in direct measures of facial-expression recognition. Data collected in the nonintervention settings indicated that some generalization of social interaction skills may have occurred for all six participants. Future research directions are discussed.

scholarly journals The Social Practices of Food Bank Volunteer Work

2021 ◽  
pp. 1-18
Author(s):  
Richard Philip Lee ◽  
Caroline Coulson ◽  
Kate Hackett
Keyword(s):  
Social Practice ◽  
Food Aid ◽  
Future Research ◽  
Food Bank ◽  
Health Crisis ◽  
Public Health Crisis ◽  
The Social ◽  
Practice Approach ◽  
The Uk ◽  
The Impact

The on-going rise in demand experienced by voluntary and community organisations (VCOs) providing emergency food aid has been described as a sign of a social and public health crisis in the UK (Loopstra, 2018; Lambie-Mumford, 2019), compounded since 2020 by the impact of (and responses to) Covid 19 (Power et al., 2020). In this article we adopted a social practice approach to understanding the work of food bank volunteering. We identify how ‘helping others’, ‘deploying coping strategies’ and ‘creating atmospheres’ are key specific (and connected) forms of shared social practice. Further, these practices are sometimes suffused by faith-based practice. The analysis offers insights into how such spaces of care and encounter (Williams et al., 2016; Cloke et al., 2017) function, considers the implications for these distinctive organisational forms (the growth of which has been subject to justified critique) and suggests avenues for future research.

scholarly journals Prevalence of biologic, behavioral and psychosocial determinant of tuberculosis in tuberculosis patients of Semnan city; a five-year cross-sectional study

2020 ◽  
Vol 5 (2) ◽  
pp. e24-e24
Author(s):  
Naim Sadat Kia ◽  
Mohammad Nassaji Zavareh ◽  
Elnaz Sarkheil ◽  
Elaheh Ghods
Keyword(s):  
Demographic Data ◽  
Cross Sectional Study ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Incidence And Mortality ◽  
The Social ◽  
Household Crowding ◽  
Clinical Records ◽  
The Impact

Introduction: Tuberculosis (TB) is one of the most common and lethal infectious diseases. Objectives: Due to the impact of biological, behavioral, socio-economic factors on the incidence of TB and the risks of the disease, we aimed to investigate the factors affecting TB in TB patients in Semnan. Patients and Methods: All patients with confirmed TB, who were referred to primary healthcare centers in Semnan for receiving medication, enrolled in the study (2012 to 2016). Data collected from clinical records and in-person interviews. The questionnaire consisted of two parts; the first part was demographic data and the other was related to the risk factors for TB. Results: The household crowding index was 1.86 ± 0.88. Most of patients (48.1%) were elderly (≥60 years old), female (59.7%), housewife (48.1%), had a pre-diploma education (63.6%), low-monthly income (62.3%) and married (63.6%). Around13.0% had diabetes. 20.8% drug abuser, 16.9% cigarettes and tobacco smokers, and 1.3% consumed alcoholic beverages. Besides, 40.3% were Afghans and 1.3% had the Pakistani nation. Conclusion: Identifying and controlling the social, geographical and biological factors affecting the incidence and mortality of TB in different regions can help to formulate appropriate strategies for achieving global goals. These factors differ among native and non-native population.

scholarly journals THE IMPACT OF THE RURAL POPULATION ON THE DEVELOPMENT OF THE SOCIAL SPHERE IN MUNICIPALITIES

2018 ◽  
pp. 57-61
Author(s):  
Z. M. Khasheva ◽  
J. A. Berger
Keyword(s):  
Russian Federation ◽  
Local Governments ◽  
Social Needs ◽  
Rural Settlements ◽  
Factors Affecting ◽  
Social Sphere ◽  
Volgograd Region ◽  
The Social ◽  
The Russian Federation ◽  
The Impact

This article focuses on direct and indirect factors affecting the development and functioning of the social sphere in rural settlements. The high role and importance of the actions of local governments in meeting the social needs of the population is noted. The author considers the criteria related to the organization of social facilities in municipalities. Analysis of the performance of the population in the municipal areas. The comparison of population size and density in different regions of the Russian Federation is carried out. Changes in the socio-economic situation of the population due to the impact of various factors are evaluated. The statistics of change of number of rural settlements of the Volgograd region are resulted.

scholarly journals THE IMPACT OF ECONOMIC EXPECTATION, SOCIAL CAPITAL AND HOPE ON MIGRATION REQUEST AND ACTION

2021 ◽  
pp. 47-58
Author(s):  
Şerafettin KELEŞ
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Empirical Method ◽  
Economic Thought ◽  
Equation Modeling ◽  
Migration Decision ◽  
Factors Affecting ◽  
The Social ◽  
Negative Effect ◽  
The Impact

In this study, the factors affecting the request and action of migration are examined with empirical method within the scope of neoclassical economic theories and behavioral economic thought. A survey of a selected sample was analyzed with structural equation modeling. There was a linear relationship between migration and economic expectation, social capital and hope. It was found that the Economic Expectation Variable had a very strong negative effect on individuals' decision to immigrate and desire to migrate (γ = -0.99; t = -17.87). Hope variable has a very strong negative effect on individuals' migration decision and desire to migrate (γ = -0.96; t = -13.66). The Social Capital Secret Variable has a negatively moderate effect on individuals' decision to immigrate and desire to migrate (γ = -0.48; t = -8.19). It was seen that economic and political conjuncture was effective in the decision of migration of individuals.

scholarly journals A Systematic Comparison of Factors Affecting the Choice of Matrix Language in Three Bilingual Communities

2011 ◽  
Vol 4 (2) ◽  
pp. 153-183 ◽  
Author(s):  
Diana Carter ◽  
Peredur Davies ◽  
Margaret Deuchar ◽  
María del Carmen Parafita Couto
Keyword(s):  
Word Order ◽  
Social Situation ◽  
Speech Community ◽  
Factors Affecting ◽  
Structural Relationships ◽  
The Social ◽  
The Matrix ◽  
Bilingual Corpora ◽  
Bilingual Communities ◽  
The Impact

AbstractIn this paper we compare the code-switching (CS) patterns in three bilingual corpora collected in Wales, Miami and Patagonia, Argentina. Using the Matrix Language Framework to do a clause-based analysis of a sample of data, we consider the impact of structural relationships and extra-linguistic factors on CS patterns. We find that the Matrix Language (ML) is uniform where the language pairs have contrasting word orders, as in Welsh-English (VSO-SVO) and WelshSpanish (VSO-SVO) but diverse where the word order is similar as in Spanish-English (SVO-SVO). We find that the diversity of the ML in Miami is related to the diversity of degrees of proficiency, ethnic identities, and social networks amongst members of that community, while the uniformity of the ML in Wales is related to the uniformity of these factors. This is not so clear in Patagonia, however, where there is little CS produced in conversation. We suggest that the members of the speech community use Spanish or Welsh mostly in a monolingual mode, depending on the interlocutor and the social situation.

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