Background: The health and well-being of migrant workers from low-income countries is often neglected in travel medicine. This article uses Nepal as a case study to highlight key issues affecting this particular group of international travellers.
Methods: This narrative review used a comprehensive systematic literature search to identify relevant studies on Nepal. The included articles were thematically analysed leading to four key themes or risk factors.
Results: The search found 18 articles from which we identified 3 key themes related directly to migrant workers: (1) sexual risk taking; (2) occupational health and (3) lifestyles, and a fourth theme related to partners and family of migrant workers who are left behind in Nepal. Of the 18 included articles, 11 articles discussed sexual risk taking and HIV, whilst considerably fewer focused on work-related risk factors and lifestyle factors in migrant workers.
Conclusions: Migrant workers who are generally healthy appear to be similar to tourist travellers in regarding sexual health as a key issue related to being abroad. Risky sexual behaviour increases in individuals separated from their usual sexual partners, away from their own communities and families, leading to the so-called 'situational disinhibition'. Considering the recent media coverage of deaths and injuries among migrant workers in the Middle East, it is interesting to see that their sexual health is more prevalent in the research literature. This article argues that travel medicine should provide more emphasis to the health and well-being of migrant workers as a highly vulnerable group of travellers with additional impact on the health of those left behind.
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http://dx.doi.org/10.1093/jtm/tax021 | DOI Listing |
J Intellect Dev Disabil
December 2021
Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, the Netherlands.
Background: The COVID-19 pandemic significantly affected families who have children with intellectual disabilities (ID). Our aim was to explore the pandemic's impact on Dutch migrant families who have children with ID, by interviewing these families' support workers.
Method: A descriptive qualitative methodology was employed, which resulted in semi-structured telephone interviews with 34 support workers.
BMC Public Health
January 2025
Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, Henan, 450001, China.
Background: Although China has implemented multiple policies to encourage childbirth, the results have been underwhelming. Migrant workers account for a considerable proportion of China's population, most of whom are of childbearing age. However, few articles focus on their fertility intentions.
View Article and Find Full Text PDFJ Bras Pneumol
January 2025
. EPIUnit ITR, Instituto de Saúde Pública da Universidade do Porto, Universidade do Porto, Porto, Portugal.
Objective: To evaluate the perspectives of tuberculosis experts from different countries regarding national screening procedures.
Methods: This was a qualitative descriptive study. Data were collected by using electronic, anonymized surveys with experts in tuberculosis in seven different countries within two World Health Organization regions (Europe and Africa).
Front Sociol
December 2024
University of the Philippines Diliman, Quezon City, Philippines.
The pandemic has tested the fortitude and resilience of a huge swath of humanity. Even measures undertaken to address the pandemic, primarily the massive vaccination campaigns, revealed a glaring disparity between and within societies. The collective grief, anxiety, and desire for survival have led to creative ways to contend with the crisis.
View Article and Find Full Text PDFBiol Methods Protoc
January 2025
Department of Physics, George Washington University, Washington, DC 20052, United States.
A mixture-of-experts (MoE) approach has been developed to mitigate the poor out-of-distribution (OOD) generalization of deep learning (DL) models for single-sequence-based prediction of RNA secondary structure. The main idea behind this approach is to use DL models for in-distribution (ID) test sequences to leverage their superior ID performances, while relying on physics-based models for OOD sequences to ensure robust predictions. One key ingredient of the pipeline, named MoEFold2D, is automated ID/OOD detection via consensus analysis of an ensemble of DL model predictions without requiring access to training data during inference.
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