scholarly journals Modeling of COVID-19 Pandemic vis-à-vis Some Socio-Economic Factors

2022 ◽  
Vol 7 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha Rachdi ◽  
Jacques Demongeot
Keyword(s):  
Economic Status ◽  
Epidemiological Data ◽  
Economic Determinants ◽  
Socio Economic Variables ◽  
Social Divide ◽  
Spread Of Infection ◽  
The Impact ◽  
The Relationship ◽  
Second Wave ◽  
Socio Economic Factors

The impact of the COVID-19 epidemic on the socio-economic status of countries around the world should not be underestimated, when we consider the role it has played in various countries. Many people were unemployed, many households were careful about their spending, and a greater social divide in the population emerged in 14 different countries from the Organization for Economic Co-operation and Development (OECD) and from Africa (that is, in developed and developing countries) for which we have considered the epidemiological data on the spread of infection during the first and second waves, as well as their socio-economic data. We established a mathematical relationship between Theil and Gini indices, then we investigated the relationship between epidemiological data and socio-economic determinants, using several machine learning and deep learning methods. High correlations were observed between some of the socio-economic and epidemiological parameters and we predicted three of the socio-economic variables in order to validate our results. These results show a clear difference between the first and the second wave of the pandemic, confirming the impact of the real dynamics of the epidemic’s spread in several countries and the means by which it was mitigated.

scholarly journals Modelling of COVID-19 pandemic vis-a-vis some socioeconomic factors

2021 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha rachdi ◽  
Jacques Demongeot
Keyword(s):  
Gini Index ◽  
Social Economic ◽  
Economic Status ◽  
Economic Data ◽  
Economic Determinants ◽  
Socio Economic Status ◽  
Sharp Difference ◽  
Socio Economic Variables ◽  
The Relationship ◽  
Second Wave

The impacts of COVID-19 outbreak on socio-economic status of countries across the globe cannot be overemphasized as we examine the role it played in various countries. A lot of people were out of jobs, many households were careful of their spending and a greater social fracture of the population in fourteen different countries has emerged. We considered periods of infection spread during the first and second wave in Organization for Economic Co-operation and Development (OECD) countries and countries in Africa, that is developed and developing countries alongside their social-economic data. We established a mathematical and statistical relationship between Theil and Gini index, then we studied the relationship between the data from epidemiology and socio-economic determinants using several machine learning and deep learning methods. High correlations were observed between some of the socio-economic and epidemiologic parameters and we predicted three of the socio-economic variables in order to validate our results. These result shows a sharp difference between the first and second wave of the pandemic confirming the real dynamics of the spread of the outbreak in several countries and ways by which it was mitigated.

ECP02-01 - Globalisation and the impact of economic factors on psychiatric disorders

2011 ◽  
Vol 26 (S2) ◽  
pp. 1795-1795
Author(s):  
D. Bhugra
Keyword(s):  
Mental Health ◽  
Cultural Identity ◽  
Economic Status ◽  
Psychiatric Morbidity ◽  
Economic Factors ◽  
Socio Economic Status ◽  
Level Of Economic Development ◽  
Migration Experiences ◽  
The Impact ◽  
The Relationship

IntroductionWith the process of globalisation in full flow, the movement of people and products across the globe has brought a series of difficulties. With migration the socio-economic status of the individuals may change with the likelihood that this status will be lower rather than higher, although depending upon the reasons for migration this may change too.ObjectivesLiterature shows that low socio-economic status is associated with a higher level of psychiatric morbidity.AimsWhether migration acts as a mediator needs to be investigated further.MethodsVarious studies have shown that rates of psychosis are elevated in migrants though these rates are differentially increased in different groups indicating that factors other than migration may be at play.ResultsIn this presentation the literature and link the acculturation and cultural identity with post-migration experiences will be reviewed.ConclusionA link exists between the perceptions within cultures and level of economic development of what constitutes mental health. The state of advancement of mental health services of a country will certainly have a large impact on prevalence rates. Further investigation should be carried out to examine in greater depth the relationship between social inequality and disorder prevalence, as distinct from income inequality.

scholarly journals Assessment of socio-economic factors affecting the utilization of manual screw press for gari production in Kwara state, Nigeria

2019 ◽  
Vol 7 (1) ◽  
pp. 107-115
Author(s):  
Adegbola A. Jacob ◽  
Wegh F. Shagbaor ◽  
Ikwuba A. Agbanugo ◽  
Nwafor S. Chimela
Keyword(s):  
Sampling Technique ◽  
Screw Press ◽  
Policy Makers ◽  
Economic Determinants ◽  
Factors Affecting ◽  
Independent Variables ◽  
Socio Economic Variables ◽  
Level Of Experience ◽  
Structured Questionnaire ◽  
Socio Economic Factors

This study investigated socio-economic determinants of utilization of manual screw press for cassava mash dehydration for gari production in four local government areas across the ADP zones in Kwara state, Nigeria. Using random sampling technique and a semi-structured questionnaire as a research instrument, data for the study were collected from a sample of three hundred and eighty-four (384) gari processors who use the screw press in the state. Multiple regression analysis shows that a correlation (R=0.678) exist between utilization of the screw press and the independent variables which include age, household size, level of education, years of processing experience, extension visits, and income from gari processing. R2 value of 0.460 indicates that about 46% of the variation in utilization was explained by socio-economic variables included in the regression model. Three variables significantly influenced the decision of the respondents to utilize the manual screw press: age, level of experience, and income; the most important predicator being income with a Beta value of 0.699. Conclusively, it was recommended among others that research, extension, and policy makers consider the significant determinants identified in the study seriously if increased utilization is to be achieved by gari processors and others similar to them in the study area and the region.

scholarly journals Mediating Effect of Chronic Illnesses in the Relationship Between Psychological Distress and COVID-19 Vaccine Acceptance

2021 ◽  
pp. 101053952110478
Author(s):  
Won Sun Chen ◽  
Ching Sin Siau ◽  
Suzanna Awang Bono ◽  
Wah Yun Low
Keyword(s):  
Psychological Distress ◽  
Psychological Health ◽  
Economic Status ◽  
Cross Sectional Study ◽  
Chronic Illnesses ◽  
Mediating Effect ◽  
Cross Sectional ◽  
Vaccine Acceptance ◽  
The Impact ◽  
The Relationship

The impact of the COVID-19 pandemic on mental health is an emerging problem globally. This study aimed to examine the mediating effect of chronic illnesses in the relationship between psychological health and the acceptance of the COVID-19 vaccine, prior to the national vaccine rollout in Malaysia. An online cross-sectional study was conducted in Malaysia between December 10, 2020, and February 9, 2021. In addition to the descriptive analyses, a mediation analysis was performed to examine the mediating effect of chronic illnesses in the relationship between psychological distress and the willingness to accept the vaccine. A total of 1738 participants completed the survey. The psychological distress levels were found to be significantly different across demographic factors such as age, gender, and social economic status. This study demonstrated a partial mediating effect of chronic illnesses in the relationship between psychological distress and vaccine acceptance.

Socio-economic factors and the sex ratio at birth

1971 ◽  
Vol 3 (1) ◽  
pp. 23-42 ◽  
Author(s):  
Michael S. Teitelbaum ◽  
Nathan Mantel
Keyword(s):  
Sex Ratio ◽  
Birth Order ◽  
Economic Status ◽  
Economic Effect ◽  
Economic Variables ◽  
Socio Economic Status ◽  
Significant Difference ◽  
Study Population ◽  
Socio Economic Variables ◽  
The Relationship

Using a large special study population and refined indicators of socio-economic status, the relationship of the live birth sex ratio to socio economic variables is examined. The analyses provide control for the possible confounding effects of race and birth order.The sex ratio is shown to be significantly and positively associated with socio-economic variables. The relationship is not linear, however, but instead is characterized by an apparent ‘diminishing returns’ curve. The major increase in sex ratio is detected as socio-economic status increases from low to moderate. No significant change occurs between moderate and higher socio-economic levels.Even after controlling for the significant socio-economic effect, the analyses detect a significant difference between the sex ratios of Whites on the one hand and Negroes and Puerto Ricans on the other.No significant association between birth order and the sex ratio can be detected in the study population.

scholarly journals An attempt to optimize human resources allocation based on spatial diversity of COVID-19 cases in Poland

2020 ◽  
Author(s):  
Andrzej Jarynowski ◽  
Monika Wójta-Kempa ◽  
Łukasz Krzowski
Keyword(s):  
Human Resources ◽  
Spatial Clustering ◽  
The Elderly ◽  
Spatial Diversity ◽  
Arrival Times ◽  
Infection Dynamics ◽  
Socio Economic Variables ◽  
General Mobility ◽  
The Relationship ◽  
Second Wave

AbstractOur task is to examine the relationship between the SARS-CoV-2 arrival and the number of confirmed COVID-19 cases in the first wave (period from March 4 to May 22, 2020 (unofficial data)), and socio-economic variables at the powiat (county) level (NUTS-4) using simple statistical techniques such as data visualization, correlation analysis, spatial clustering and multiple linear regression. We showed that immigration and the logarithm of general mobility is the best predictor of SARS-CoV-2 arrival times, while emigration, industrialization and air quality explain the most of the size of the epidemic in poviats. On the other hand, infection dynamics is driven to a lesser extent by previously postulated variables such as population size and density, income or the size of the elderly population. Our analyses could support Polish authorities in preparation for the second wave of infections and optimal management of resources as we have provided a proposition of optimal distribution of human resources between poviats.

scholarly journals Hubungan Faktor Demografi Dan Dukungan Sosial Dengan Depresi Pascasalin

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Nurfatimah Nurfatimah ◽  
Cristina Entoh
Keyword(s):  
Social Support ◽  
Postnatal Depression ◽  
Economic Status ◽  
Depression Scale ◽  
Dominant Factor ◽  
Research Subjects ◽  
Cross Sectional ◽  
One Year ◽  
The Impact ◽  
The Relationship

Postnatal depression is a mental disorder after the birth of her child and can last up to one year. Maternal postnatal mood disorder not an easy matter. The impact can be devastating life of the mother and her child. Currently there are many women who experienced postnatal depression but has not been detected. The purpose of this study was to analyze the relationship between demographic factors and social support in postnatal depression in The Working Area Of Puskesmas Kayamanya.The design of this research is cross sectional. Research subjects were followed for 56 respondents ranging from childbirth to 7 days postnatal. The samples was chosen by using consequtive sampling. The instruments used in this research are the Edinburgh Postnatal Depression Scale (EPDS) and standard social support questionnaire. The results reveal that the age is not significantly associated with depression postnatal (p = 0.514) and education (p = 0.154); but it is significantly parity (p = 0.012); economic status (p = 0.030), social support include the family (p = 0.035); friends (p = 0.017); and midwives (p = 0.005). The multivariate analysis reveals that midwifes support (wald=4,236; p= 0,04) is the dominant factor causing postnatal depression.

scholarly journals A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy

2021 ◽  
Author(s):  
Paolo Di Giamberardino ◽  
Daniela Iacoviello ◽  
Federico Papa ◽  
Carmela Sinisgalli
Keyword(s):  
Group Structure ◽  
Human Mobility ◽  
Epidemiological Data ◽  
Group Model ◽  
Disease Evolution ◽  
Analytical Stability ◽  
Containment Measures ◽  
Disease Diffusion ◽  
The Impact ◽  
Second Wave

AbstractAn epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the infection spread since its outbreak in Italy. The single submodels provide a rather accurate description of the COVID-19 evolution in each subpopulation by an extended SEIR model including the class of asymptomatic infectives, which is recognized as a determinant for disease diffusion. The multi-group structure is specifically designed to investigate the effects of the inter-regional mobility restored at the end of the first strong lockdown in Italy (June 3, 2020). In its time-invariant version, the model is shown to enjoy some analytical stability properties which provide significant insights on the efficacy of the implemented control measurements. In order to highlight the impact of human mobility on the disease evolution in Italy between the first and second wave onset, the model is applied to fit real epidemiological data of three geographical macro-areas in the period March–October 2020, including the mass departure for summer holidays. The simulation results are in good agreement with the data, so that the model can represent a useful tool for predicting the effects of the combination of containment measures in triggering future pandemic scenarios. Particularly, the simulation shows that, although the unrestricted mobility alone appears to be insufficient to trigger the second wave, the human transfers were crucial to make uniform the spatial distribution of the infection throughout the country and, combined with the restart of the production, trade, and education activities, determined a time advance of the contagion increase since September 2020.

scholarly journals Economic Crisis Impact and Social Determinants of Perinatal Outcomes and Infant Mortality in Greece

2020 ◽  
Vol 17 (18) ◽  
pp. 6606
Author(s):  
Christos Zilidis ◽  
Christos Chadjichristodoulou
Keyword(s):  
Infant Mortality ◽  
Neonatal Mortality ◽  
Economic Crisis ◽  
Perinatal Outcomes ◽  
Economic Determinants ◽  
Before And After ◽  
Socio Economic Variables ◽  
Rate Ratios ◽  
The Impact

(1) Background: To explore the effects of the 2008 economic crisis on maternal, perinatal and infant mortality in Greece and the socio-economic determinants associated with them; (2) Methods: The annual rates of stillbirth (SBR), perinatal mortality (PMR), infant mortality (IMR), neonatal mortality (NNMR), post-neonatal mortality (PNMR), low birth weight (LBW), and maternal mortality (MMR) were calculated for the years 2000–2016. Average Annual Percent Changes (AAPC) were calculated by the period before and after 2008. The expected rates of 2009–2016 and the observed-to-expected rate ratios (RR) were calculated. Correlation and multiple linear regression analyses were used to test the impact of socio-economic variables on health outcomes; (3) Results: A reverse in downwards trends of PNM, IMR, and NNMR is observed since 2009. All observed values of 2009–2016 were found significantly higher than the expected ones by 12–34%. All indicators except SBR were found negatively correlated with GDP and DHI. A positive correlation was found between IMR, NNMR, and LBW and long-term unemployment, and no association with public health expenditure; (4) Conclusions: Economic crisis was associated with remarkable adverse effects on perinatal outcomes and infant mortality, mainly determined by long-term unemployment and income reduction. The findings stress a need for interventions to protect maternity and child health during crises.

Women’s empowerment and family poverty in the Tawhidi epistemological approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aas Nurasyiah ◽  
Miyasto Miyasto ◽  
Tatik Mariyanti ◽  
Irfan Syauqi Beik
Keyword(s):  
Women's Empowerment ◽  
Women’S Empowerment ◽  
Economic Factors ◽  
Analysis Tool ◽  
Economic Variables ◽  
Content Type ◽  
Islamic Perspective ◽  
Socio Economic Variables ◽  
The Impact ◽  
Socio Economic Factors

Purpose The purpose of this paper is to investigate the socio-economic factors that will affect women’s empowerment from an Islamic perspective (the Tawhidi epistemological approach) and the impact of women’s empowerment on reducing family poverty. Design/methodology/approach Using a quantitative approach to see the relationship between research variables with structural equation model-partial least squares as the analysis tool. Findings In general, socio-economic variables had direct and indirect effects on reducing family poverty. In addition, the variable of women’s empowerment in an Islamic perspective can strengthen the influence of socio-economic variables on the alleviation of family poverty. Research limitations/implications The limitation of this research lies in the use of religiosity as an indicator with some constraints and the inclusion of all the necessary dimensions of a Muslim family. Additionally, because of the scope of the present research, the results may not be applicable in different areas, especially countries with distinctive characteristics such as having Muslims as the major population. On the other hand, the results of this research may provide comprehensive indicators of empowered Muslim women which enable the correlation between the socio-economic factors and women’s empowerment and how women’s empowerment can contribute to the alleviation of family poverty from the perspective of Islam. Originality/value This research provides new insights into the variable of women’s empowerment measured using the Islamic paradigm (Tawhidi epistemology) and includes religiosity as a variable that directly and indirectly influences the reduction of family poverty.

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