Publications Search
This publications portal is a repository of all IOM migration health publications from 2006 to present where IOM was a primary contributor.
Publications include peer-reviewed scientific papers, technical reports, training guides/manuals, policy briefs/discussion papers, factsheets, newsletters, research reviews, conference and poster presentations. These are categorized by topic, author, country/region covered as well as by year, language, and type of publication. The map reflects the countries covered by the publications.
To browse or search: simply use the filter options on the left-hand side. Alternatively, you can enter keyword/s in the search box. Selecting a specific publication will lead to a ‘download’ link or link to the website where the document is housed. Here is the step-by-step guide for your reference.
The performance and yield of tuberculosis testing algorithms using microscopy, chest x-ray, and Xpert MTB/RIF
Author/s: Jacob Creswell, Zhi Zhen Qin, Rajedra Gurung, Bikash Lamichhane, Deepak Kumar Yadav, Mohan Kumar Prasai, Nirmala Bista, Lal Mani Adhikari, Bishwa Rai, Santat Sudrungrot
Abstract
Setting: The introduction of Xpert MTB/RIF (Xpert) and renewed interest in chest x-ray(CXR) for tuberculosis testing has provided additional choices to the smear-based…
Research on the Health Vulnerabilities of the Cross Border Migrants from Nepal
Author/s: IOM
Reliable information on the health vulnerabilities and resilience factors of cross-border migrants and associated possible preventive measures is lacking. To remedy this gap and thereby facilitate the development of evidence-informed policy and programme development, this study was undertaken to assess the health vulnerabilities of Nepali migrants to India.
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems
Author/s: Zhi Zhen Qin, Melissa S. Sander, Bishwa Rai, Collins N. Titahong, Santat Sudrungrot, Sylvain N. Laah, Lal Mani Adhikari, E. Jane Carter, Lekha Puri, Andrew J. Codlin, & Jacob Creswell
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted a retrospective evaluation of three DL systems (CAD4TB, Lunit INSIGHT, and qXR) for detecting TB-associated abnormalities in chest radiographs from outpatients in Nepal and Cameroon. All 1196 individuals received a Xpert MTB/RIF assay and a CXR…
Read morePsychological morbidity in Nepali cross-border migrants in India: a community based cross-sectional study
Author/s: Dhungana RR, Aryal N, Adhikary P, Kc RK, Regmi PR, Devkota B, Sharma GN, Wickramage K, van Teijlingen E, Simkhada P
Abstract
BACKGROUND: Since Nepali cross-border migrants can freely enter, work and stay in India, they are largely undocumented. The majority is involved in semi-skilled or unskilled jobs with limited labour rights and social security, a fact which predisposes them to psychological distress. We aimed to assess the prevalence of and factors associated with psychological morbidity among Nepali migrants upon their return from India.
METHODS: A community-based cross-…
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