Recent developments in US immigration policies have brought tired attention to the problems of immigration in the United States. Although there has been growing awareness of the need to manage immigration that address the economic causal factors underlying the motivation to cross borders, the recent changes in immigration policies fail to do so. This paper brings attention to the futility of border control laws and calls on urban planners to address immigration through strategic planning for a socially-responsible, sustainable economic development in sending countries. This paper concludes with recommendations for how to do this.

Prior work has suggested that discrimination and immigration-related stress may impede mental health care seeking and utilization among Latinx populations. These effects may be more nuanced as both discrimination and immigration-related stress may increase symptomology, particularly posttraumatic stress disorder (PTSD) and depression. Both symptoms may in turn prompt attempts to seek care. The current study examined the direct effects of discrimination and immigration-related stress on care access, as well as potentially indirect effects with PTSD and depression symptoms as mediators. Interviews and online surveys were completed with 234 Latinx residents of the Midwest assessing everyday discrimination, discrimination in healthcare, PTSD symptoms, depression symptoms, current mental health utilization, and previous unsuccessful attempts to seek care. Direct effects of discrimination and immigration-related stress were largely unrelated to care access variables. Discrimination in healthcare settings predicted both unsuccessful attempts to seek care and current use, but this effect was positive. The indirect effect was largely supported, but only for PTSD symptoms and not depression. Results indicate further investigation is necessary to understand the direct effects of discrimination on care access. Further, discrimination and immigration-related stress may indirectly prompt attempts to seek mental health care.

Nowadays one of the issues interesting for researchers of political, social, and economic sciences is to investigate immigration from different angles. Accordingly, they use a diverse range of instruments, different types of graphs, descriptive indices and complex mathematical models. Immigration has always been one of the paths helping humans in their own efforts for getting compatible with the environment and coping with difficulties. Nevertheless, if this issue has been considered as an instrument regulating resources and species automatically, in the present era, its negative aspects have been evident and socioeconomic consequences of immigration in the framework of development economy and security has attracted scholars’ attentions. One of the countries attracting for immigrants particularly in the continent of Africa is South Africa. Statistics indicates that this country is the most attractive one for refugees. Somalis are one of the most important and largest groups seeking refuge in South Africa because they are usually merchants who earn money in the poor places. However, business in the poor places endangers their lives and properties because of high rate of crimes and xenophobia. As a result, the target countries face a lot of socioeconomic and security problems. The present study tries to investigate the issue of Somali immigration using network models.

For the first time in human history the majority of people no longer live in a rural environment. According to the United Nations, over 50% of the global population now lives in cities. The abandonment of the rural environment has grave consequences for society in general, as these areas are healthier places to live, produce the food we all depend on, and are an important factor for preserving biodiversity and environmental sustainability. In this paper we will provide a historical overview of rural repopulation models and analyse a number of models currently being applied in several countries in Europe and Latin America. We will also offer observations on a pilot repopulation project called “Habita Tierra” currently being developed. The common characteristics of different repopulation models prompted us to develop a model based on active listening and accompaniment of people and local agents as well as other important factors. Rural depopulation in Spain involves a number of interrelated problems, one of the most salient being the aging rural population. The average farmer in Spain is 61 years of age. There is also the problem of gender imbalance in rural areas, where women enjoy few opportunities or alternatives. In turn, low fertility rates, increasing stress on limited public healthcare, education and transpor-tation resources, a lack of cultural activities and poor connectivity are also factors driving rural depopulation. The only group which is increasing the rural areas in Spain are immigrants, who now account for 10% of the rural population, often performing the agricultural, fishing and livestock farming ac-tivities abandoned by native residents. This group, along with young people, and women of all ages and the programs which support them may offer a solution to the challenge of depopulation. The paper concludes with a list of the key features of successful repopulation programs, drawn from a comparison of historic and contemporary models.

This paper offers an in-depth exploration of the complex relationship between seasonality and Autism Spectrum Disorder (ASD). It reviews existing research, providing a comprehensive summary of findings and highlighting the multifaceted dimensions of seasonality as an environmental factor that influences the etiology of ASD. The discussion encompasses various factors, including birth months, maternal health, dietary choices, and vitamin D deficiency, and delves into the intricate interplay of seasonality with environmental influences such as viral infections and solar radiation. The present study raises essential questions regarding the timing of environmental influences and the factors contributing to the rising prevalence of ASD. Ultimately, it underscores the need for future epidemiological research to incorporate more extensive investigations of environmental risk factors and employ advanced statistical analyses. This comprehensive overview contributes to a deeper understanding of how seasonality factors may be linked to the occurrence of ASD and its increasing prevalence, recognizing the multifaceted and diverse nature of these interactions.

This paper studies the duration patterns of unemployment spells for immigrants and the determinants of unemployment’s completion into one of a number of studied labour market states in Finland. We estimate a duration model for unemployment with competing risks of its terminating into employment, labour market training or economic inactivity. Taking into account the wide period of observation and opportunities to analyse processes of labour market integration during various periods of economic development in Finland, in combination with the individualistic character of the labour careers of immigrants, this research is beneficial owing to the many various findings concerning labour market integration of immigrants. The approach undertaken in this research has a dualistic “descriptive-dynamic” character under which integration is understood as a never-ending process, which is conditioned by a time period of long-term existence and a context of solitary action. We find that transitions out of unemployment spells have a cyclical character; after every new “cycle” in unemployment, the probability of terminating unemployment decreases further. We also find that ascriptive factors make sense in the process of job-placement of immigrants from unemployment. Therefore, the gender, education and age of immigrants, as well as the effect of the period in which first unemployment occurred, potentially predict transitions out of unemployment and further labour market integration of immigrants.