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Open Access November 29, 2022

The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals

Abstract The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the [...] Read more.
The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted. We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis. The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them. The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction. The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.
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Open Access May 06, 2022

Drivers of Acute Diarrhea in Mothers of Children between 6 and 59 Months old in Kinshasa Households, Democratic Republic of the Congo

Abstract Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas [...] Read more.
Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas in Kinshasa namely Centre Supérieur Militaire Mobikisi and Hopital Militaire Central. It is a cross-sectional study of analytical type having a correlational design. In fact, 114 mothers having children aged 6 to 59 months old who had experienced at least three diarrheal episodes were selected and this research was carried out in January 2020. Independent variables were socio-economic factors and dependent variables were biological factors. Descriptive statistical analyses of which frequency and percentage were performed to describe the sampling profile. To measure the strength of association between different variables, the Pearson's Chi-Square (X2) test was used. The findings showed that 57% live in a high socio-economic environment compared to 43% who have a low socio-economic environment responsible for the occurrence of acute diarrhea. It was observed that 67.7% of participants knew the importance of access to health care services, compared to 32.3% who did not know. Meanwhile, 50.8% lived in a healthy environment versus 49.2% who had an unhealthy environment. Furthermore, 53.8% were in an acceptable demographic and biological situation, compared to 46.2% who were in a precarious demographic and biological situation. Acute diarrhea in children aged 6-59 months is one of the causes of morbidity and mortality in Kinshasa city. Obstacles to effective care are related to the lack of quality service provision. Policy makers must therefore put in place interventions to address these challenges in order to reduce infant morbidity and mortality in this area.
Article
Open Access October 04, 2025

Unequal Burden of Loss of a Loved One in Non-Hispanic Black and White Californians

Abstract Purpose: Although the effect of loss of a loved one on depression is well established, very limited knowledge exists on racial differences in this effect. Aim: In the current study we compared Non-Hispanic White (NHW) and Non-Hispanic Black (NHB) Californians for the effects of loss of a loved one on depression in a representative sample of adults in California. Methods: This cross-sectional study used data from the Survey of California Adults on Serious Illness and End-of-Life 2019. Overall, 1603 people entered our study. We compared 901 (56.2%) NHB and 702 (43.8%) NHW adults (age 18 and older). Race/ethnicity, demographics (age and gender), socio-economic factors (education, income, employment, and marital status), religiosity, and health (self-rated health and number of chronic medical conditions), and depression were measured. To perform data analysis, we used logistic regression models. Results: In the pooled sample, loss of a loved one was not associated with self-reported depression, net of all covariates. Race, however, interacted with loss of a loved one on depression, suggesting a larger association for NHBs compared to NHWs. In race-specific models, loss of a loved one predicted depression for NHBs (OR = 1.54) but not NHWs (OR [...] Read more.
Purpose: Although the effect of loss of a loved one on depression is well established, very limited knowledge exists on racial differences in this effect. Aim: In the current study we compared Non-Hispanic White (NHW) and Non-Hispanic Black (NHB) Californians for the effects of loss of a loved one on depression in a representative sample of adults in California. Methods: This cross-sectional study used data from the Survey of California Adults on Serious Illness and End-of-Life 2019. Overall, 1603 people entered our study. We compared 901 (56.2%) NHB and 702 (43.8%) NHW adults (age 18 and older). Race/ethnicity, demographics (age and gender), socio-economic factors (education, income, employment, and marital status), religiosity, and health (self-rated health and number of chronic medical conditions), and depression were measured. To perform data analysis, we used logistic regression models. Results: In the pooled sample, loss of a loved one was not associated with self-reported depression, net of all covariates. Race, however, interacted with loss of a loved one on depression, suggesting a larger association for NHBs compared to NHWs. In race-specific models, loss of a loved one predicted depression for NHBs (OR = 1.54) but not NHWs (OR = 0.99). Conclusion: There are differences between NHBs and NHWs in the effect of loss of a loved one on depression. NHBs show a stronger association between loss of a loved one and depression than NHWs. This result is not in line with the NHB mental health paradox or with NHB resilience but is consistent with the notion that social relations may be more salient for NHBs than for NHWs.
Article
Open Access August 22, 2025

Status Epilepticus in Sub-Saharan Africa: A Literature Review on Epidemiological Challenges, Socio-Cultural Barriers, and Public Health Impact

Abstract This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this [...] Read more.
This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this region is often hindered by constraints in medical infrastructure, inadequate access to specialist diagnostics such as electroencephalogram, and limited availability of essential anti-epileptic drugs, which are frequently out of reach for rural populations. These challenges are further exacerbated by the social stigma and cultural beliefs surrounding epilepsy, impeding access to care and widening inequalities. Moreover, the scarcity of qualified medical personnel undermines the efficient and prompt management of this neurological emergency. The review underscores the pressing need to enhance healthcare infrastructures, boost the capabilities of healthcare professionals, and conduct community awareness initiatives to destigmatize epilepsy and lessen prejudice. Additionally, practical recommendations are put forward for enhancing local capacity, fostering equity in care access, and mitigating regional health disparities in SSA.
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Keyword:  Socio-Economic

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