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Strontium isotope (87Sr/86Sr) analysis with reference to strontium isotope landscapes (Sr isoscapes) allows reconstructing mobility and migration in archaeology, ecology, and forensics. However, despite the vast potential of research involving 87Sr/86Sr analysis particularly in Africa, Sr isoscapes remain unavailable for the largest parts of the continent. Here, we measure the 87Sr/86Sr ratios in 778 environmental samples from 24 African countries and combine this data with published data to model a bioavailable Sr isoscape for sub-Saharan Africa using random forest regression. We demonstrate the efficacy of this Sr isoscape, in combination with other lines of evidence, to trace the African roots of individuals from historic slavery contexts, particularly those with highly radiogenic 87Sr/86Sr ratios uncommon in the African Diaspora. Our study provides an extensive African 87Sr/86Sr dataset which includes scientifically marginalized regions of Africa, with significant implications for the archaeology of the transatlantic slave trade, wildlife ecology, conservation, and forensics.

The Caucasus and surrounding areas, with their rich metal resources, became a crucible of the Bronze Age1 and the birthplace of the earliest steppe pastoralist societies2. Yet, despite this region having a large influence on the subsequent development of Europe and Asia, questions remain regarding its hunter-gatherer past and its formation of expansionist mobile steppe societies3-5. Here we present new genome-wide data for 131 individuals from 38 archaeological sites spanning 6,000 years. We find a strong genetic differentiation between populations north and south of the Caucasus mountains during the Mesolithic, with Eastern hunter-gatherer ancestry4,6 in the north, and a distinct Caucasus hunter-gatherer ancestry7 with increasing East Anatolian farmer admixture in the south. During the subsequent Eneolithic period, we observe the formation of the characteristic West Eurasian steppe ancestry and heightened interaction between the mountain and steppe regions, facilitated by technological developments of the Maykop cultural complex8. By contrast, the peak of pastoralist activities and territorial expansions during the Early and Middle Bronze Age is characterized by long-term genetic stability. The Late Bronze Age marks another period of gene flow from multiple distinct sources that coincides with a decline of steppe cultures, followed by a transformation and absorption of the steppe ancestry into highland populations.

This paper focuses on the trilogy of feature-length documentaries directed by Ai Weiwei devoted to the global refugee crisis beginning with Human Flow, The Rest and ending with Rohingya. I address the significant thematic and formal differences among these films to consider how these sharpen the aesthetic and political engagement. Against a longstanding photojournalistic repertoire of refugee visualities, I consider how this migration trilogy invites us to think differently about human movement, placelessness, and sense of place, by delicately balancing between images of individuals and (sometimes) talking heads against massive, often abstract aerial/drone backdrops that signpost the shape and scale of migration patterns and displacements. This tension between abstraction and specificity, between scale and detail, enables these films to straddle between varied affective registers and more traditional invocations of melodramatic pathos in ways that foreground the instability and fluidity of documentary's signifying practices. Rather than adhere strictly to a project of illumination and transparency so foundational to documentary's 'jargons of authenticity', I consider the productive uses of opacity and abstraction across the trilogy, to argue for their political value as strategies that engage the limits of representation while simultaneously bringing visibility to those who exist in globalization's shadows. [ABSTRACT FROM AUTHOR]

Genetic variations present in the Y chromosomal and mitochondrial DNA provide the mole-cular basis to support the archeological and anthropological evidence that formulates the theories for describing the trajectory of human migration, which started almost 200,000 years ago out of Africa. These genetic variations have long been used as ancestry informative markers (AIMs) in forensics and evolutionary studies, primarily because of their uniparental inheritance and lack of recombination, despite the fact that gender-specific gene flow and socio-cultural practices may cause discrepancies. Moreover, the genetic markers on the Y chromosome constitute only a minor fraction of the entire human genome. Here, we analyzed over 75 million genetic variants (single nucleotide variants (SNVs) and short insertion-deletion (InDels)) within consecutive 2500000 base pair windows in the autosomal as well as non-autosomal chromosomes of 22 populations in four major geographic regions that are cataloged in the 1000 Genomes Project to understand the clustering patterns of the autosomal and non-autosomal variants. While autosomal and X-chromosomal variants cluster the populations of similar geographic regions together, Y-chromosomal variants constantly place the East Asian Japanese and the European Finnish populations in a single clade in hierarchical clusters. This comprehensive genome-wide analysis essentially introduces new insights into mapping the path of human migration based on the Y-chromosomal and other chromosomal variants. [ J Adv Biotechnol Exp Ther 2025; 8(1.000): 139-149]

The Holocene (beginning around 12,000 years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using a dataset of more than 1,600 imputed ancient genomes1, we modelled the selection landscape during the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify key selection signals related to metabolism, including that selection at the FADS cluster began earlier than previously reported and that selection near the LCT locus predates the emergence of the lactase persistence allele by thousands of years. We also find strong selection in the HLA region, possibly due to increased exposure to pathogens during the Bronze Age. Using ancient individuals to infer local ancestry tracts in over 400,000 samples from the UK Biobank, we identify widespread differences in the distribution of Mesolithic, Neolithic and Bronze Age ancestries across Eurasia. By calculating ancestry-specific polygenic risk scores, we show that height differences between Northern and Southern Europe are associated with differential Steppe ancestry, rather than selection, and that risk alleles for mood-related phenotypes are enriched for Neolithic farmer ancestry, whereas risk alleles for diabetes and Alzheimer's disease are enriched for Western hunter-gatherer ancestry. Our results indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.

Multiple sclerosis (MS) is a neuro-inflammatory and neurodegenerative disease that is most prevalent in Northern Europe. Although it is known that inherited risk for MS is located within or in close proximity to immune-related genes, it is unknown when, where and how this genetic risk originated1. Here, by using a large ancient genome dataset from the Mesolithic period to the Bronze Age2, along with new Medieval and post-Medieval genomes, we show that the genetic risk for MS rose among pastoralists from the Pontic steppe and was brought into Europe by the Yamnaya-related migration approximately 5,000 years ago. We further show that these MS-associated immunogenetic variants underwent positive selection both within the steppe population and later in Europe, probably driven by pathogenic challenges coinciding with changes in diet, lifestyle and population density. This study highlights the critical importance of the Neolithic period and Bronze Age as determinants of modern immune responses and their subsequent effect on the risk of developing MS in a changing environment.

Major migration events in Holocene Eurasia have been characterized genetically at broad regional scales1-4. However, insights into the population dynamics in the contact zones are hampered by a lack of ancient genomic data sampled at high spatiotemporal resolution5-7. Here, to address this, we analysed shotgun-sequenced genomes from 100 skeletons spanning 7,300 years of the Mesolithic period, Neolithic period and Early Bronze Age in Denmark and integrated these with proxies for diet (13C and 15N content), mobility (87Sr/86Sr ratio) and vegetation cover (pollen). We observe that Danish Mesolithic individuals of the Maglemose, Kongemose and Ertebølle cultures form a distinct genetic cluster related to other Western European hunter-gatherers. Despite shifts in material culture they displayed genetic homogeneity from around 10,500 to 5,900 calibrated years before present, when Neolithic farmers with Anatolian-derived ancestry arrived. Although the Neolithic transition was delayed by more than a millennium relative to Central Europe, it was very abrupt and resulted in a population turnover with limited genetic contribution from local hunter-gatherers. The succeeding Neolithic population, associated with the Funnel Beaker culture, persisted for only about 1,000 years before immigrants with eastern Steppe-derived ancestry arrived. This second and equally rapid population replacement gave rise to the Single Grave culture with an ancestry profile more similar to present-day Danes. In our multiproxy dataset, these major demographic events are manifested as parallel shifts in genotype, phenotype, diet and land use.

Western Eurasia witnessed several large-scale human migrations during the Holocene1-5. Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes-mainly from the Mesolithic and Neolithic periods-from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a 'great divide' genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 BP, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 BP, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a 'Neolithic steppe' cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations.

The southwest region of Bangladesh is particularly vulnerable to a range of climatic threats, including cyclones, prolonged flooding, sea level rise, saltwater intrusion, drought, and riverbank erosion. The study investigates how these different drivers affect aquaculture systems and aims to provide critical insights for sustainable management. The survey work focused on the problems, vulnerabilities, migration, and adaptive strategies of communities of the southwest region of Bangladesh, that rely heavily on shrimp, fish, and crab production for their livelihoods. Data were collected from the 80 respondents across four unions (Atulia, Burigoalini, Gabura, and Bhurulia) in Shyannagar Upazila, Satkhira District, using a structured questionnaire survey and focus group discussions. Findings reveal that climate change events have significantly changed shrimp farming in enclosures, pond aquaculture, and crab point management, and negatively impacted livelihoods. Pond aquaculture appeared to be the most vulnerable to climate change conditions, followed by shrimp farming in enclosures and crab points. Furthermore, the adverse effects of climate change compelled human migration within the study area, primarily driven by the search for employment. This study provides evidence of the effects of various climate change stressors on shrimp, fish, and crab production systems and the adaptive difficulties of the communities dependent on aquatic ecosystems. As the natural calamity like cyclone cannot be prevented, understanding the impact of previous events may help people of the affected area as well as the policy makers to plan for better survival.

The tropical archipelago of Wallacea was first settled by anatomically modern humans (AMH) by 50 thousand years ago (kya), with descendent populations thought to have remained genetically isolated prior to the arrival of Austronesian seafarers around 3.5 kya. Modern Wallaceans exhibit a longitudinal countergradient of Papuan-and Asian-related ancestries widely considered as evidence for mixing between local populations and Austronesian seafarers, though converging multidisciplinary evidence suggests that the Papuan-related component instead comes primarily from back-migrations from New Guinea. Here, we reconstruct Wallacean population genetic history using more than 250 newly reported genomes from 12 Wallacean and three West Papuan populations and confirm that the vast majority of Papuan-related ancestry in Wallacea (~75 to 100%) comes from prehistoric migrations originating in New Guinea and only a minor fraction is attributable to the founding AMH settlers. Mixing between Papuan and local Wallacean lineages appears to have been confined to the western and central parts of the archipelago and likely occurred contemporaneously with the widespread introduction of genes from Austronesian seafarers--which now comprise between ~40 and 85% of modern Wallacean ancestry--though dating historical admixture events remains challenging due to mixing continuing into the Historical Period. In conjunction with archaeological and linguistic records, our findings point to a dynamic Wallacean population history that was profoundly reshaped by the spread of Papuan genes, languages, and culture in the past 3,500 y. [ABSTRACT FROM AUTHOR]

This paper extends the human migration model introduced in previous works to the framework of consistent conjectural variations. First, we introduce the standard multiclass human migration network equilibrium model that describes the movement of migrants between locations. Next, we introduce the concept of conjectural variations, in which migrants conjecture about the (expected) utility of locations after their migration. We define the concept of conjectural variations equilibrium and present results regarding the conditions for its existence and uniqueness. Following that, we define the concept of consistency for the migrants' conjectures and the consistent conjectural variations equilibrium (CCVE). Finally, we describe the conditions that guarantee the existence of the CCVE. [ABSTRACT FROM AUTHOR]

In Germany, medical rehabilitation is provided to promote work ability and health in the case of chronic illness and to avoid early disability pensions. Studies have shown that employees with a history of migration are less likely to seek medical rehabilitation. The aim of this paper was to examine which factors influence the use of medical rehabilitation services in migrants with back pain. We used data from a German cohort study also including migrant employees aged 45 to 59 years. Participants reported back pain in the last 3 months and completed a baseline questionnaire in 2017. Data on rehabilitation utilization was extracted from administrative records covering the period until the end of 2018. Proportional hazard models were fitted to identify factors that were associated with utilized rehabilitation measures. Data of 552 participants were included, and 25 individuals utilized rehabilitation during follow-up. Sex (women: HR = 3.05; 95% CI: 1.10; 8.45), higher job insecurity (HR = 1.02; 95% CI: 1.00; 1.03), support from physicians and therapists (HR = 2.22; 95% CI: 1.52; 3.24), proportion of foreigners (HR = 3.27; 1.17; 9.15), and the self-reported need for rehabilitation (HR = 3.23; 95% CI: 1.12; 8.60) were associated with utilization. In summary, informational and practical support provided by physicians and therapists on medical rehabilitation services seems to be a key predictor of rehabilitation utilization. Our findings, therefore, support the call for transcultural competence to be more widely incorporated into the education of medical and health professionals to counteract health care disparities. [ABSTRACT FROM AUTHOR]

Abstract Migration’s influence in shaping population dynamics in times of impending climate and population crises exposes its crucial role in upholding societal cohesion. As migration impacts virtually all aspects of life, it continues to require attention across scientific disciplines. This study aims to bridge the gap between theoretical understanding and practical application by integrating network analysis and regression methodologies within Migration Studies. In the study we employ network analysis to elucidate migration patterns at various geographical scales-city, country, and global. Additionally, regression analysis is discussed on an exploratory level, where we focus on the underlying factors driving migration, and identifying the key independent variables to enhance predictive accuracy. The study exposes distinct migration network structure and its features, and the consequences these have on conventional regression analysis applications. We conclude on the importance of methodological coherence and disciplinary integration, and highlight the avenues for enhancing the predictive power of migration models.

Despite broad agreement that Homo sapiens originated in Africa, considerable uncertainty surrounds specific models of divergence and migration across the continent1. Progress is hampered by a shortage of fossil and genomic data, as well as variability in previous estimates of divergence times1. Here we seek to discriminate among such models by considering linkage disequilibrium and diversity-based statistics, optimized for rapid, complex demographic inference2. We infer detailed demographic models for populations across Africa, including eastern and western representatives, and newly sequenced whole genomes from 44 Nama (Khoe-San) individuals from southern Africa. We infer a reticulated African population history in which present-day population structure dates back to Marine Isotope Stage 5. The earliest population divergence among contemporary populations occurred 120,000 to 135,000 years ago and was preceded by links between two or more weakly differentiated ancestral Homo populations connected by gene flow over hundreds of thousands of years. Such weakly structured stem models explain patterns of polymorphism that had previously been attributed to contributions from archaic hominins in Africa2-7. In contrast to models with archaic introgression, we predict that fossil remains from coexisting ancestral populations should be genetically and morphologically similar, and that only an inferred 1-4% of genetic differentiation among contemporary human populations can be attributed to genetic drift between stem populations. We show that model misspecification explains the variation in previous estimates of divergence times, and argue that studying a range of models is key to making robust inferences about deep history.

Landscape, climate, and culture can all structure human populations, but few existing methods are designed to simultaneously disentangle among a large number of variables in explaining genetic patterns. We developed a machine learning method for identifying the variables which best explain migration rates, as measured by the coalescent-based program MAPS that uses shared identical by descent tracts to infer spatial migration across a region of interest. We applied our method to 30 human populations in eastern Africa with high-density single nucleotide polymorphism array data. The remarkable diversity of ethnicities, languages, and environments in this region offers a unique opportunity to explore the variables that shape migration and genetic structure. We explored more than 20 spatial variables relating to landscape, climate, and presence of tsetse flies. The full model explained ∼40% of the variance in migration rate over the past 56 generations. Precipitation, minimum temperature of the coldest month, and elevation were the variables with the highest impact. Among the three groups of tsetse flies, the most impactful was fusca which transmits livestock trypanosomiasis. We also tested for adaptation to high elevation among Ethiopian populations. We did not identify well-known genes related to high elevation, but we did find signatures of positive selection related to metabolism and disease. We conclude that the environment has influenced the migration and adaptation of human populations in eastern Africa; the remaining variance in structure is likely due in part to cultural or other factors not captured in our model.

Fusarium head blight (FHB) is one of the most destructive wheat diseases worldwide. To understand the impact of human migration and changes in agricultural practices on crop pathogens, here population genomic analysis with 245 representative strains from a collection of 4,427 field isolates of Fusarium asiaticum, the causal agent of FHB in Southern China is conducted. Three populations with distinct evolution trajectories are identifies over the last 10,000 years that can be correlated with historically documented changes in agricultural practices due to human migration caused by the Southern Expeditions during the Jin Dynasty. The gradual decrease of 3ADON‐producing isolates from north to south along with the population structure and spore dispersal patterns shows the long‐distance (>250 km) dispersal of F. asiaticum. These insights into population dynamics and evolutionary history of FHB pathogens are corroborated by a genome‐wide analysis with strains originating from Japan, South America, and the USA, confirming the adaptation of FHB pathogens to cropping systems and human migration. [ABSTRACT FROM AUTHOR]

Much research and media attention has revolved around the environmental impacts of growing global human populations. While the conclusions remain contested, these assessments have largely neglected the ecological and conservation impacts of other key regional processes such as declining populations, ageing demographics and rural‐to‐urban migration.These demographic shifts are increasingly prevalent across many regions of the world, and will have significant direct effects on natural resource management and biodiversity conservation by altering individual consumption patterns, land use, land stewardship and natural disturbances. Given that the scientific foundation around this topic is still developing, we first present an initial examination of some of the key environmental impacts, aiming to elevate awareness and encourage further research in these areas.Beyond the ecological implications, declining populations, ageing demographics and rural‐to‐urban migration carry intricate social and cultural consequences that can affect people and nature interactions. Ecological studies that focus on single dimensions of biodiversity or ecosystem responses often overlook these complexities. Demographic changes are likely to be accompanied by shifts in environmental attitudes and connections with nature, all of which will influence our capacity to adapt to or mitigate environmental changes. Finally, environmental policy and practice frameworks are potentially unprepared and their success could be sensitive to these socio‐cultural and demographic shifts.Synthesis and applications: This brief overview demonstrates that population decline, ageing and rural‐to‐urban migration can have extensive implications for biodiversity and the socio‐cultural relationships between people and nature. However, the significance, dynamics and consequences of these processes are still largely overlooked. We believe that these changes warrant specific attention from the research, policy and practice communities, as understanding the outcomes and feedbacks associated with depopulation, ageing populations, loss of culture and tradition and ecological change could aid in designing landscapes and informing management that enhances both human well‐being and biodiversity conservation. [ABSTRACT FROM AUTHOR]

Background: Migration has challenged society. Most people who move do so for economic reasons, but others move for more tragic reasons. The proportion of female migrants was slightly higher than that of male migrants, partly due to the longer life expectancy of women and the higher demand for female migrants in care‐related Jobs. The process may affect migrants' health, particularly in countries where healthcare is associated with high economic costs or insurance availability. A global systematic review of qualitative studies with meta‐synthesis was conducted. The results can be used to support health policy and clinical practice. Objective: To describe how migrants perceive and experience the process of migrating and how it affects their health. Search strategy: Databases consulted were Medline, PsychInfo, Cuiden, Cinahl, WOS, Scopus, Social Science Database, and Epistemonikos. Thirty‐four articles were selected for final meta‐synthesis. Inclusion criteria: All qualitative primary studies were included that describe the experiences or perceptions of migrants and refugees over 18 years that talk about their migration process and the impact on their health; written in English or Spanish between 2016 and 2021. Articles referring to second generations and those dealing with pathologies that pre‐date the migration process were excluded. Data extraction and synthesis: The COREQ and JBI templates were used as quality criteria. Studies mostly used a phenomenological methodology and in‐depth interviews, both individual and group, were used for data collection and narrative synthesis. Main results: Uncertainty emerges as a main category. Three other interrelated themes have a direct impact on migrants' health: Language, Social Networks and Work. There are several conditions in each of these that have a positive or negative impact on health. The gender condition appears in both work and social networks, positively and negatively. Discussion and conclusions: Health would be improved by having a stable job, which would facilitate access to health resources. Social networks and language are facilitators of access to a better job, but not the only condition. From a gender perspective, social networks can become a source of health problems, especially for women. The process of migration places women in a position of vulnerability due to the difficulties of reconciling family and work life. Job insecurity, workload, loss of family life or social isolation increase hopelessness and anxiety, leading to health problems. Public or patient contribution: As an academic review study, no patient contribution was required, and this study serves as a theoretical framework for more in‐depth research that will work with migrant populations. As a public contribution, this work provides evidence of the need to improve access to health for some populations, in line with the Sustainable Development Goals (SDGs) set for 2030. [ABSTRACT FROM AUTHOR]

On the one hand, genetic observations suggest one essential migration of anatomically modern humans (AMH) from Africa to Eurasia had taken place around 70-50 ka BP and led to the dispersal of AMH all over the world (Out-of-Africa-II model). On the other hand, given the initial phase of the migration would have been located in East and Northeast Africa, archaeological patterning of cultural traits can, so far, neither support nor contradict such a model within the supposed area of migration, and at the time concerned hereby. This paper addresses the obvious invisibility of the migration in the archaeological record and the reasons for it. We propose the summer/winter rainfall frontier to have caused phases of isolation between East and Northeast Africa, impeding cultural exchange between these areas, either resulting from acculturation or migration. We exclude large scale events of dispersal, only small-scale movements of populations to be admitted. This might explain the lack of archaeological visibility of the migration event.

Numerous visualisation methods have been proposed, including Origin-Destination maps to represent movement patterns gathered from social media; however, visual clutter remains a persistent issue due to complex data dimensionality. Besides, most Origin-Destination maps fail to illustrate the temporal dimension of social network phenomena within the geographical environment. To tackle this issue, we propose the visualisation method for geo-located Facebook social-media data while emphasising the time aspect. Based on the citizen-generated data for the European Union (EU), we estimated the EU citizens’ residing or travelling across the EU member states as a means of current and previous destinations to reveal the extent of the hypothetical human migration. The proposed methodology consists of Origin-Destination maps implemented within the time geography framework as a model to support the process of analysis for decision-making. The generated visualisation allows comprehension of the scale of human movement distribution internally within the EU from a space–time perspective.

Founding populations of the first Americans likely occupied parts of Beringia during the Last Glacial Maximum (LGM). The timing, pathways, and modes of their southward transit remain unknown, but blockage of the interior route by North American ice sheets between ~26 and 14 cal kyr BP (ka) favors a coastal route during this period. Using models and paleoceanographic data from the North Pacific, we identify climatically favorable intervals when humans could have plausibly traversed the Cordilleran coastal corridor during the terminal Pleistocene. Model simulations suggest that northward coastal currents strengthened during the LGM and at times of enhanced freshwater input, making southward transit by boat more difficult. Repeated Cordilleran glacial-calving events would have further challenged coastal transit on land and at sea. Following these events, ice-free coastal areas opened and seasonal sea ice was present along the Alaskan margin until at least 15 ka. Given evidence for humans south of the ice sheets by 16 ka and possibly earlier, we posit that early people may have taken advantage of winter sea ice that connected islands and coastal refugia. Marine ice-edge habitats offer a rich food supply and traversing coastal sea ice could have mitigated the difficulty of traveling southward in watercraft or on land over glaciers. We identify 24.5 to 22 ka and 16.4 to 14.8 ka as environmentally favorable time periods for coastal migration, when climate conditions provided both winter sea ice and ice-free summer conditions that facilitated year-round marine resource diversity and multiple modes of mobility along the North Pacific coast.

Objective(s): Immigration could affect people's sexual health. The present study aimed to compare sexual quality of life of Afghan immigrant women living in Tehran province with Iranian women. Methods: This was a cross-sectional study that conducted from August 2022 to March 2023, in health centers of three counties in Tehran province with a continence sample of 218 Iranian and 218 Afghan immigrant women who met the inclusion criteria. The data was collected by a questionnaire containing items on women's sexual quality of life and demographic characteristics, history of fertility and menstruation, use of modern methods of family planning, and frequency of intercourse with spouse per week. The descriptive analysis of the data included reporting of frequencies, mean and standard deviation. To investigate the factors affecting quality of sexual life, multiple linear regression model was used. Results: The results showed that the mean (SD) score of total sexual quality of life in Iranian women was 89.57 (17.34) and it was 81.40 (18.79) in Afghan immigrant women (P < 0.001). Age (P = 0.01), occupation (P < 0.001) and contraceptive method (P = 0.02) had an inverse and significant effect and education (P = 0.03), husband's occupation (P = 0.02) and number of sexual intercourses per week (P < 0. 001) had a significant direct effect on the sexual quality of life of Afghan immigrant women, and husband's occupation (P = 0.04), contraceptive method (P = 0.02), and number of sexual intercourses per week (P < 0.001) had a significant direct effect on the sexual quality of life of Iranian women. Conclusion: Based on the findings, Iranian women had a higher sexual quality of life than Afghan immigrant women. These differences may be due to marginalization and lower education and cultural differences between Iranian and Afghan immigrant women. It is suggested that health centers provide sexual health promotion services for immigrant women.

More than 14,000 Icelanders emigrated to North America between 1870 and 1914 CE. Mass movement from Iceland accelerated the year after the explosive eruption of Askja in 1875, and both contemporary and recent commentators have linked the two circumstances. Despite an abundant scholarship on Icelandic emigration in this period, the direct and indirect roles of the eruption as a possible stimulus remain unclear. Here, we engage critically with a range of contemporary source materials as well as meteorological and climatological information to re-assess where Askja fits into the picture of Iceland’s first wave of mass migration. We find that emigration was undoubtedly fuelled by the hardships of Icelanders and their growing contacts with countrymen already in the Americas, and that the highest proportions of emigrants came from counties most directly impacted by the Askja eruption. However, it also emerges that the eruption served as a lever for interested parties in Britain and Canada to persuade large numbers of desirable migrants to settle in North America. Our study highlights the opportunities that discrete episodes of volcanic activity present to probe the complex interrelationships of nature and society. [ABSTRACT FROM AUTHOR]

Objective(s): Immigration could affect people's sexual health. The present study aimed to compare sexual quality of life of Afghan immigrant women living in Tehran province with Iranian women. Methods: This was a cross-sectional study that conducted from August 2022 to March 2023, in health centers of three counties in Tehran province with a continence sample of 218 Iranian and 218 Afghan immigrant women who met the inclusion criteria. The data was collected by a questionnaire containing items on women's sexual quality of life and demographic characteristics, history of fertility and menstruation, use of modern methods of family planning, and frequency of intercourse with spouse per week. The descriptive analysis of the data included reporting of frequencies, mean and standard deviation. To investigate the factors affecting quality of sexual life, multiple linear regression model was used. Results: The results showed that the mean (SD) score of total sexual quality of life in Iranian women was 89.57 (17.34) and it was 81.40 (18.79) in Afghan immigrant women (P < 0.001). Age (P = 0.01), occupation (P < 0.001) and contraceptive method (P = 0.02) had an inverse and significant effect and education (P = 0.03), husband's occupation (P = 0.02) and number of sexual intercourses per week (P < 0. 001) had a significant direct effect on the sexual quality of life of Afghan immigrant women, and husband's occupation (P = 0.04), contraceptive method (P = 0.02), and number of sexual intercourses per week (P < 0.001) had a significant direct effect on the sexual quality of life of Iranian women. Conclusion: Based on the findings, Iranian women had a higher sexual quality of life than Afghan immigrant women. These differences may be due to marginalization and lower education and cultural differences between Iranian and Afghan immigrant women. It is suggested that health centers provide sexual health promotion services for immigrant women. [ABSTRACT FROM AUTHOR]

Drivers and dynamics of initial human migrations across individual islands and archipelagos are poorly understood, hampering assessments of subsequent modification of island biodiversity. We developed and tested a new statistical-simulation approach for reconstructing the pattern and pace of human migration across islands at high spatiotemporal resolutions. Using Polynesian colonisation of New Zealand as an example, we show that process-explicit models, informed by archaeological records and spatiotemporal reconstructions of past climates and environments, can provide new and important insights into the patterns and mechanisms of arrival and establishment of people on islands. We find that colonisation of New Zealand required there to have been a single founding population of approximately 500 people, arriving between 1233 and 1257 AD, settling multiple areas, and expanding rapidly over both North and South Islands. These verified spatiotemporal reconstructions of colonisation dynamics provide new opportunities to explore more extensively the potential ecological impacts of human colonisation on New Zealand's native biota and ecosystems. [ABSTRACT FROM AUTHOR]

The presence of children and adolescents in migratory flows is growing in Latin America and the Caribbean. Little is known about migration's effects on these groups' health. This article aims to investigate the evidence available on the access and use of healthcare services by migrant children and adolescents in Latin America and the Caribbean. We seek to explore the role of social determinants of health at different levels in the health conditions of these groups. Also, to identify potential recommendations for healthcare systems and public policy to address them. For this purpose, a narrative review of 52 publications was carried out based on a search of scientific literature in the Web of Science and Google Scholar databases. Five relevant topics were identified: use of emergency care associated with lack of healthcare access, preventive services, and other social determinants of health; exposure to preventable infectious diseases; mental health; sexual and reproductive health; and vaccinations and dental health. We conclude that the evidence shows the need to address the inequities and disadvantages faced by migrant children from a perspective of social determinants of health and policies that consider health as a human right regardless of the migratory status of children and adolescents, as well as that of their parents or primary caregivers.

Micronesia began to be peopled earlier than other parts of Remote Oceania, but the origins of its inhabitants remain unclear. We generated genome-wide data from 164 ancient and 112 modern individuals. Analysis reveals five migratory streams into Micronesia. Three are East Asian related, one is Polynesian, and a fifth is a Papuan source related to mainland New Guineans that is different from the New Britain-related Papuan source for southwest Pacific populations but is similarly derived from male migrants ~2500 to 2000 years ago. People of the Mariana Archipelago may derive all of their precolonial ancestry from East Asian sources, making them the only Remote Oceanians without Papuan ancestry. Female-inherited mitochondrial DNA was highly differentiated across early Remote Oceanian communities but homogeneous within, implying matrilocal practices whereby women almost never raised their children in communities different from the ones in which they grew up.

Abstract Background The number of migrants and asylum seekers at the Mexico-US border has increased to historic levels. Our objective was to determine the medical diagnoses and treatments of migrating people seeking care in humanitarian clinics in Matamoros, Mexico. Methods We conducted a cross-sectional study of patient encounters by migrating people through a humanitarian clinic in Matamoros, Mexico, from November 22, 2019, to March 18, 2021. The clinics were operated by Global Response Medicine in concert with local non-governmental organizations. Clinical encounters were each coded to the appropriate ICD-10/CPT code and categorized according to organ system. We categorized medications using the WHO List of Essential Medicines and used multivariable logistic regression to determine associations between demographic variables and condition frequency. Results We found a total of 8,156 clinical encounters, which included 9,744 diagnoses encompassing 132 conditions (median age 26.8 years, female sex 58.2%). People originated from 24 countries, with the majority from Central America (n = 5598, 68.6%). The most common conditions were respiratory (n = 1466, 15.0%), musculoskeletal (n = 1081, 11.1%), and skin diseases (n = 473, 4.8%). Children were at higher risk for respiratory disease (aOR = 1.84, 95% CI: 1.61–2.10), while older adults had greater risk for joint disorders (aOR = 3.35, 95% CI: 1.73–6.02). Women had decreased risk for injury (aOR = 0.50, 95% CI: 0.40–0.63) and higher risk for genitourinary diseases (aOR = 4.99, 95% CI: 3.72–6.85) compared with men. Among 10,405 medications administered, analgesics were the most common (n = 3190, 30.7%) followed by anti-infectives (n = 2175, 21.1%). Conclusions In this large study of a migrating population at the Mexico-US border, we found a variety of clinical conditions, with respiratory, musculoskeletal, and skin illnesses the most common in this study period which encompassed a period of restrictive immigration policy and the first year of the COVID-19 pandemic.

This collection provides a contemporary excerpt of Cities as complex systems. The contributions have been submitted between April and October 2020. We briefly discuss example papers addressing the themes urban scaling, urban mobility, flows in cities, spatial analysis, information technology and cities, and cities in time. After motivating the intersection of cities and complexity, we provide an introduction and additional thoughts on urban scaling.

In a rapidly evolving global landscape characterized by increased international travel, migration, and ecological shifts, this study sheds light on the emergence of protozoal and helminthic infections targeting the central nervous system (CNS) within Europe. Despite being traditionally associated with tropical regions, these infections are progressively becoming more prevalent in non-endemic areas. By scrutinizing the inherent risks, potential outcomes, and attendant challenges, this study underscores the intricate interplay between diagnostic limitations, susceptibility of specific population subsets, and the profound influence of climate fluctuations. The contemporary interconnectedness of societies serves as a conduit for introducing and establishing these infections, warranting comprehensive assessment. This study emphasizes the pivotal role of heightened clinician vigilance, judicious public health interventions, and synergistic research collaborations to mitigate the potential consequences of these infections. Though rare, their profound impact on morbidity and mortality underscores the collective urgency required to safeguard the neurological well-being of the European populace. Through this multifaceted approach, Europe can effectively navigate the complex terrain posed with these emergent infections.

The economic, social, and health crisis in Venezuela has resulted in the largest forced migration in recent Latin American history. The general scenario in host countries influence migrants’ self-perception of quality of life, which can be understood as an indicator of their level of integration. The COVID-19 pandemic has exacerbated socioeconomic and health vulnerabilities, especially for forced migrants. We hypothesized that the adverse circumstances faced by Venezuelan migrants during the pandemic have deepened their vulnerability, which may have influenced their perception of quality of life. This study aims to evaluate the quality of life of Venezuelan migrants in Brazil during the COVID-19 pandemic. We assessed the quality of life of 312 adult Venezuelan migrants living in Brazil using the World Health Organization WHOQOL-BREF quality of life assessment, which was self-administered online from October 20, 2020, to May 10, 2021. The associations of quality of life and its domains with participants’ characteristics were analyzed via multiple linear regression models. Mean quality of life score was 44.7 (±21.8) on a scale of 0 to 100. The best recorded mean was in the physical domain (66.2±17.8) and the worst in the environmental domain (51.1±14.6). The worst quality of life was associated with being a woman, not living with a partner, lower household income, and discrimination based on nationality. Factors associated with overall quality of life and respective domains, especially income and discrimination, were also observed in other studies as obstacles to Venezuelan migrants. The unsatisfactory quality of life among Venezuelans living in Brazil may have been worsened by the pandemic during the study period.

Bhutan has a three-tiered healthcare system with the majority of services remaining Thimphu-centric. At the height of public demand for Immigration Medical Examination services, the two regional referral hospitals put in their efforts to establish the services in Gelephu and Mongar. The Regional Referral Hospitals enabled accessibility to IME services and improved efficiency at the National Referral Hospital by decongesting the number of clients. In this article, we describe how the regional referral hospitals established IME services that meet the standards of the destination country.

BackgroundTransnational immigrants are particularly impacted by neglected diseases, which take a heavy biological, social, and emotional toll in these marginalized communities. Chagas disease has transformed from an exclusively rural to an increasingly urban phenomenon encompassing non-endemic areas in Latin America.MethodsThrough semi-structured interviews, we investigated representations of Chagas disease in Bolivian immigrants in São Paulo, Brazil. Between August and September 2015, 27 adult migrants were interviewed, 11 of them with Chagas disease. We explored problems of access to health services and essential knowledge about the disease, as well as related conceptions and health practices.ResultsParticipants constructed social representations of Chagas through interactions with family and social networks, drawing on earlier experiences in Bolivia. Diagnosis often provoked fear, and participants faced barriers to care based on language differences and uncertainties about the disease and treatment options. Healthcare personnel played an important role in alleviating concerns and facilitating access to information.DiscussionThe complex intersection of migration and neglected diseases creates challenges for local and national health programs, requiring innovative responses incorporating the perspectives and needs of the often vulnerable affected communities.

Objective. To analyze the representation of migrants in public policy (PP) documents in Mexico in the context of the Covid-19 pandemic. Materials and methods. We use the analytical framework: "What is the problem represented?" for the discursive analysis of PP documents (migration and Covid-19) issued between March 2020 and February 2022. Results. Migrants are represented exclusively as people in transit, mobilizing in "caravans" and concentrated in shelters and migratory stations. Their "vulnerability" is emphasized, their agency capacities are not recognized, and shelters are proposed as the main site of the response. Conclusions. Discursive analysis serves as a tool to identify the way in which a problem is represented. In the case of migration, it is necessary to recognize the complexity of the phenomenon in the PP (health and migration) without making the different mobile groups invisible. [ABSTRACT FROM AUTHOR]

Geolocated social media data hold a hitherto untapped potential for exploring the relationship between user mobility and their interests at a large scale. Using geolocated Twitter data from Nigeria, we provide a feasibility study that demonstrates how the linkage of (1) a trajectory analysis of Twitter users' geolocation and (2) natural language processing of Twitter users' text content can reveal information about the interests of migrants. After identifying migrants via a trajectory analysis, we train a language model to automatically detect the topics of the migrants' tweets. Biases of manual labelling are circumvented by learning community‐defined topics from a Nigerian web forum. Results suggest that differences in users' mobility correlate with varying interests in several topics, most notably religion. We find that Twitter data can be a flexible source for exploring the link between users' mobility and interests in large‐scale analyses of urban populations. The joint use of spatial techniques and text analysis enables migration researchers to (a) study migrant perspectives in greater detail than is possible with census data and (b) at a larger scale than is feasible with interviews. Thereby, it provides a valuable complement to interviews, surveys and censuses, and holds a large potential for further research. [ABSTRACT FROM AUTHOR]

Human mobility and connectivity between cities are key features of globalization that foster urban expansion, landscape transformations, and changes in species distributions. Andean ecosystems which function as biodiversity reservoirs, are vulnerable to environmental changes and to the introduction of exotic species. Through this study, we assess the association of migratory flows and other socioenvironmental characteristics with the prevalence of exotic woody species in the Andean region. We collected data on urban and demographic dynamics, migration proxies, and topographic and climate indicators for every first-order administrative unit of the Andean region. We used global biodiversity databases to obtain occurrence records of woody plants and estimated the proportion of exotic species records in each administrative unit. We performed multiple regression models that assessed the association of this prevalence with socioenvironmental information, and we compared them using the Akaike information criterion. We obtained 2,461,168 records of native species and 891,579 records of exotic species. Topography, climate, and immigration were included i the 10 best models, suggesting that the social connectivity of administrative units (through immigration) is a driver of changes in species composition of local communities. We consider that the prevalence of exotic species in woody plant composition is highly influenced by cultural drivers through the introduction of exotic species and through their use in urban and periurban environments. [ABSTRACT FROM AUTHOR]

Human migration triggered by flooding will create sociodemographic, economic, and cultural challenges in coastal communities, and adaptation to these challenges will primarily occur at the municipal level. However, existing migration models at larger spatial scales do not necessarily capture relevant social responses to flooding at the local and municipal levels. Furthermore, projecting migration dynamics into the future becomes difficult due to uncertainties in human–environment interactions, particularly when historic observations are used for model calibration. This study proposes a stochastic agent-based model (ABM) designed for the long-term projection of municipal-scale migration due to repeated flood events. A baseline model is demonstrated initially, capable of using stochastic bottom-up decision rules to replicate county-level population. This approach is then combined with physical flood-exposure data to simulate how population projections diverge under different flooding assumptions. The methodology is applied to a study area comprising 16 counties in coastal Virginia and Maryland, U.S., and include rural areas which are often overlooked in adaptation research. The results show that incorporating flood impacts results in divergent population growth patterns in both urban and rural locations, demonstrating potential municipal-level migration response to coastal flooding. [ABSTRACT FROM AUTHOR]

The health of migrant workers on the Bioceanic Route requires comprehensive actions, and it is necessary to understand their issues and problems. This is a theoretical reflection article whose objective was to comprehend the possibilities of health surveillance actions for workers in migration situations on the Bioceanic Route in Mato Grosso do Sul. For the identification of these elements, a narrative review of the literature was used, in light of a theoretical framework. Use the portal States National Library of Medicine National Institutes of Health (Medline/PubMed), applying the terms: “Surveillance of the Workers Health”; “Health Vulnerability”; “Transients and Migrants”; combined with the Boolean operator “AND”. Five aspects that constitute health worker surveillance were identified: assistance, surveillance, notification, planning, and management. In the context of assistance, it is crucial to provide access to health services, including emergency care, maternal and child care, and treatment of communicable and work-related diseases. Health surveillance should focus on prevention and health promotion through actions centered on identifying occupational risks, accidents, and work-related illnesses. The collection and analysis of epidemiological data are essential to guide surveillance actions and implement appropriate measures, made possible through notifications. For planning and management, it is necessary to strengthen partnerships with social devices, enhance the worker health care network, and regularize the work of these migrants to combat precarious and illegal practices. It is concluded that public policies should be addressed to the dimensions that make up the surveillance of the worker's health, aiming to ensure better living conditions for migrant workers in the Bioceanic Route. [ABSTRACT FROM AUTHOR]

Background: Nigeria's shortage of psychiatrists is exacerbated due to health worker migration. Aim: This study explores migration experiences and tendencies among early-career psychiatrists in Nigeria. Methods: We conducted a cross-sectional survey covering Nigeria's six geopolitical zones, using a 61-item online questionnaire assessing short-term mobility, long-term migration experiences and migration attitudes. Data was analysed using IBM SPSS version 29. Results: Of 228 early-career psychiatrists surveyed, 9.7% had short-term mobility and 8.0% had long-term migration experiences. However, 85.8% had 'ever' considered migration, 69.2% were planning to leave 'now', and 52.9% had taken 'practical migration steps'. Over half (52.7%) said they would be working abroad in 5 years, with 25.2% indicating they would migrate within a year. The top reasons to leave were financial and academic, while personal and cultural factors were the key reasons to stay. Income dissatisfaction (OR = 2.27, 95%, CI = 1.05-4.88) predicted planning to leave 'now', while being in a relationship (OR = 3.46, 95%CI = 1.06-11.30) predicted taking 'practical migration steps'. Attractive job features were good welfare (85.4%) and high salaries (80.3%). Improvements in finances (90.8%) and work conditions (86.8%) were requested. Conclusions: Systemic changes to address psychiatrists' migration from Nigeria are needed. [ABSTRACT FROM AUTHOR]

Introduction: Under-resourced communities face disaster preparedness challenges. Research is limited for resettled refugee communities, which have unique preparedness needs. Study Objective: This study aims to assess disaster preparedness among the refugee community in Clarkston, GA. Methods: Twenty-five semi-structured interviews were completed with community stakeholders. Convenience sampling using the snowball method was utilized until thematic saturation was reached. Thematic analysis of interviews was conducted through an inductive, iterative approach by a multidisciplinary team using manual coding and MAXQDA. Results: Three themes were identified: First, prioritization of routine daily needs took precedence for families over disaster preparedness. Second, communication impacts preparedness. Community members speak different languages and often do not have proficiency in English. Access to resources in native languages and creative communication tactics are important tools. Finally, the study revealed a unique interplay between government, community-based organizations, and the refugee community. A web of formal and informal responses is vital to helping this community in times of need. Conclusion: The refugee community in Clarkston, GA faces challenges, and disaster preparedness may not be top of mind for them. However, clear communication, disaster preparedness planning, and collaboration between government, community-based organizations, and the community are possible areas to focus on to bolster readiness. [ABSTRACT FROM AUTHOR]

Numerous visualisation methods have been proposed, including Origin-Destination maps to represent movement patterns gathered from social media; however, visual clutter remains a persistent issue due to complex data dimensionality. Besides, most Origin-Destination maps fail to illustrate the temporal dimension of social network phenomena within the geographical environment. To tackle this issue, we propose the visualisation method for geo-located Facebook social-media data while emphasising the time aspect. Based on the citizen-generated data for the European Union (EU), we estimated the EU citizens' residing or travelling across the EU member states as a means of current and previous destinations to reveal the extent of the hypothetical human migration. The proposed methodology consists of Origin-Destination maps implemented within the time geography framework as a model to support the process of analysis for decision-making. The generated visualisation allows comprehension of the scale of human movement distribution internally within the EU from a space–time perspective. [ABSTRACT FROM AUTHOR]

Native biodiversity decline and non-native species spread are major features of the Anthropocene. Both processes can drive biotic homogenization by reducing trait and phylogenetic differences in species assemblages between regions, thus diminishing the regional distinctiveness of biotas and likely have negative impacts on key ecosystem functions. However, a global assessment of this phenomenon is lacking. Here, using a dataset of >200,000 plant species, we demonstrate widespread and temporal decreases in species and phylogenetic turnover across grain sizes and spatial extents. The extent of homogenization within major biomes is pronounced and is overwhelmingly explained by non-native species naturalizations. Asia and North America are major sources of non-native species; however, the species they export tend to be phylogenetically close to recipient floras. Australia, the Pacific and Europe, in contrast, contribute fewer species to the global pool of non-natives, but represent a disproportionate amount of phylogenetic diversity. The timeline of most naturalisations coincides with widespread human migration within the last ~500 years, and demonstrates the profound influence humans exert on regional biotas beyond changes in species richness.