Institution
International Organization for Migration
Government•Geneva, Switzerland•
About: International Organization for Migration is a government organization based out in Geneva, Switzerland. It is known for research contribution in the topics: Population & Refugee. The organization has 319 authors who have published 346 publications receiving 7355 citations. The organization is also known as: IOM.
Topics: Population, Refugee, Public health, Health care, Mental health
Papers published on a yearly basis
Papers
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World Health Organization1, University College London2, Public Health Agency of Canada3, Centers for Disease Control and Prevention4, The Catholic University of America5, European Centre for Disease Prevention and Control6, University of Milan7, Karolinska University Hospital8, University of Brescia9, Israel Ministry of Health10, Norwegian Institute of Public Health11, Médecins Sans Frontières12, Istituto Superiore di Sanità13, International Federation of Red Cross and Red Crescent Societies14, Robert Koch Institute15, Helsinki University Central Hospital16, International Organization for Migration17, University of California, San Francisco18, Carlos III Health Institute19, Ministero della Salute20, University of Coimbra21, Statens Serum Institut22, Institut Jules Bordet23, Health Protection Scotland24, University of Sassari25, Japanese Ministry of Health, Labour and Welfare26
TL;DR: An action framework for countries with low tuberculosis (TB) incidence sets out priority interventions required for these countries to progress first towards “pre-elimination” and eventually the elimination of TB as a public health problem.
Abstract: This paper describes an action framework for countries with low tuberculosis (TB) incidence (<100 TB cases per million population) that are striving for TB elimination. The framework sets out priority interventions required for these countries to progress first towards "pre-elimination" (<10 cases per million) and eventually the elimination of TB as a public health problem (less than one case per million). TB epidemiology in most low-incidence countries is characterised by a low rate of transmission in the general population, occasional outbreaks, a majority of TB cases generated from progression of latent TB infection (LTBI) rather than local transmission, concentration to certain vulnerable and hard-to-reach risk groups, and challenges posed by cross-border migration. Common health system challenges are that political commitment, funding, clinical expertise and general awareness of TB diminishes as TB incidence falls. The framework presents a tailored response to these challenges, grouped into eight priority action areas: 1) ensure political commitment, funding and stewardship for planning and essential services; 2) address the most vulnerable and hard-to-reach groups; 3) address special needs of migrants and cross-border issues; 4) undertake screening for active TB and LTBI in TB contacts and selected high-risk groups, and provide appropriate treatment; 5) optimise the prevention and care of drug-resistant TB; 6) ensure continued surveillance, programme monitoring and evaluation and case-based data management; 7) invest in research and new tools; and 8) support global TB prevention, care and control. The overall approach needs to be multisectorial, focusing on equitable access to high-quality diagnosis and care, and on addressing the social determinants of TB. Because of increasing globalisation and population mobility, the response needs to have both national and global dimensions.
627 citations
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University College London1, Oswaldo Cruz Foundation2, International Organization for Migration3, American University of Beirut4, Peking University5, Imperial College London6, St George's, University of London7, University of Giessen8, Cayetano Heredia University9, University of Southampton10, University of Oslo11, Columbia University12, Johns Hopkins University13, University of Melbourne14, Royal Children's Hospital15, Public Health Foundation of India16, University of the Witwatersrand17, University of London18
TL;DR: The most prominent dialogue focuses almost exclusively on migration from LMICs to high-income countries (HICs), where nationalist movements assert so-called cultural sovereignty by delineating an us versus them rhetoric, creating a moral emergency.
449 citations
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TL;DR: The severity of this epidemic and its long-lasting repercussions should spur investment in and development of health systems, and it is essential that the global response to the outbreak considers both acute and long-term psychosocial needs of individuals and communities.
Abstract: The 2013-2016 Ebola outbreak in Guinea, Liberia and Sierra Leone was the worst in history with over 28,000 cases and 11,000 deaths. Here we examine the psychosocial consequences of the epidemic. Ebola is a traumatic illness both in terms of symptom severity and mortality rates. Those affected are likely to experience psychological effects due to the traumatic course of the infection, fear of death and experience of witnessing others dying. Survivors can also experience psychosocial consequences due to feelings of shame or guilt (e.g. from transmitting infection to others) and stigmatization or blame from their communities. At the community level, a cyclical pattern of fear occurs, with a loss of trust in health services and stigma, resulting in disruptions of community interactions and community break down. Health systems in affected countries were severely disrupted and overstretched by the outbreak and their capacities were significantly reduced as almost 900 health-care workers were infected with Ebola and more than 500 died. The outbreak resulted in an increased need for health services, reduced quality of life and economic productivity and social system break down. It is essential that the global response to the outbreak considers both acute and long-term psychosocial needs of individuals and communities. Response efforts should involve communities to address psychosocial need, to rebuild health systems and trust and to limit stigma. The severity of this epidemic and its long-lasting repercussions should spur investment in and development of health systems.
324 citations
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TL;DR: The paper argues that the higher rates of perinatal mortality and accidents/disability observed in many migrant groups compared to the native population are linked to their lower entitlements in the receiving societies.
301 citations
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TL;DR: It is argued that climate change mitigation and adaptation (M&A) actions, which will also result in significant population displacements, have not received sufficient attention.
Abstract: Although there is agreement that climate change will result in population displacements and migration, there are differing views on the potential volume of flows, the likely source and destination areas, the relative role of climatic versus other factors in precipitating movements, and whether migration represents a failure of adaptation (1, 2). We argue that climate change mitigation and adaptation (M&A) actions, which will also result in significant population displacements, have not received sufficient attention. Given the emergence of resettlement as an adaptation response, it is critical to learn from research on development-forced displacement and resettlement (DFDR). We discuss two broad categories of potential displacement in response to (i) climate impacts themselves and (ii) large-scale M&A projects. We discuss policy approaches for facilitating migration and, where communities lack resources to migrate, suggest guidelines for organized resettlement.
240 citations
Authors
Showing all 342 results
Name | H-index | Papers | Citations |
---|---|---|---|
Maurizio Martini | 41 | 245 | 5585 |
Michael D. Green | 37 | 79 | 4399 |
Paul M. Arguin | 30 | 95 | 2594 |
Dominik Zenner | 23 | 82 | 1803 |
Priya Deshingkar | 21 | 56 | 1664 |
Brian D. Gushulak | 19 | 33 | 1656 |
Michelle Weinberg | 18 | 48 | 1170 |
Frank Laczko | 16 | 32 | 1466 |
Heather Burke | 16 | 26 | 1532 |
Sureeporn Punpuing | 15 | 46 | 683 |
Kolitha Wickramage | 15 | 65 | 795 |
Dorota Kupiszewska | 12 | 31 | 881 |
Davide Mosca | 11 | 18 | 1506 |
Paul Douglas | 11 | 16 | 1036 |
Poonam Dhavan | 11 | 14 | 766 |