Migration and health. In: Adepoju A., Fumagalli C., Nyabola N. (eds) Africa Migration Report: Challenging the narrative

The relationship between migration and health is explored, including resilience, vulnerability, and social determinants of health throughout the migration cycle. The chapter maintains that migration health governance should include the control of communicable diseases, health security, universal health coverage (UHC), and migration-responsive systems, which are all critical to health security, public health, and development.

Reintegration Counselling: A Psychosocial Approach

This guide is intended to provide key information on the importance of a psychosocial approach to post-arrival reintegration counselling, describing the basic counselling and communication skills necessary to conduct a successful and psychologically informed reintegration counselling interview with a returned migrant. It is a practical tool to support the reintegration counselor during the reintegration counselling process. 

Amélioration de la Protection à Travers la Provision d’Abris d’Urgence et le Soutien Psychosocial Auprès des Déplacés Internes et Communautés d’Accueil des Communes de Barsalogho et de Djibo

IOM aims to bring life-saving assistance to 12,203 of the most vulnerable households of Internally Displaced Persons and host communities through emergency shelter and protection activities in the Barsalogho (Centre-Nord) and Djibo (Sahel) communes. 1029 households will thus receive emergency shelter as an emergency protection measure. Protection mobile teams will also be put in place and will be in charge to organize 96 community-based psychosocial activities and will as well be in charge of the referral of cases that will need individual follow-up to appropriate partners on the field.

Prevention and Response to Acute Trafficking in People, Mental Health and Psychosocial Concerns in North-East Nigeria

Building on existing capacities and in response to the identified needs and vulnerabilities of the crisis-affected population in north-east Nigeria, IOM will aim to ensure the following outcomes (1) displaced populations benefit from improved mental health and psychosocial wellbeing; (2) at-risk sub-groups of the crisis-affected population and victims of trafficking benefit from improved access to trafficking in persons prevention and response services.

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems

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 by two groups of radiologists and the DL systems. Xpert was used as the reference standard.