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Analysis of interlinkages between migration and sexual reproductive health access and utilization of services

IOM Kenya

27 Nov 2019 This opportunity is no longer available Share
27 Nov 2019 This opportunity is no longer available Share
Background and objectives
The International Organization for Migration (IOM) seeks for a motivated volunteer to analyse ten (10) most recent Demographic Health Survey (DHS) data and other related household survey data to determine the interlinkages between migration on use of reproductive and maternal health services in the East and Horn of Africa.
Migration places individuals in situations which may impact their physical and mental well-being. Conditions surrounding the migration process can increase the vulnerability to ill health. This is particularly true for those who migrate involuntarily, fleeing natural or man-made disasters. Impacts have multiple determinants and may change over time. Migration also cuts across economic and social policies, human rights and equity issues, development agendas, and social norms – all of which are relevant to migration health. In light of the 2030 Sustainable Development Agenda, data at the nexus of migration and health are critically important for IOM particular as the custodian of target 10.7 to monitor the Agenda’s progress, including specific progress on the health-related goal and targets to ensure that “no one is left behind” irrespective of their legal status. The demand for data on migration health has never been greater, both at the national and international levels. In many countries, large-scale household surveys are conducted regularly to provide information on population, health, education, household income and expenditure, employment, and other critical areas of study.
Volunteers: 2 needed
6-10 hours per week / 8 weeks
The volunteer will have at least a bachelor’s degree in quantitative social science discipline, proven high level proficiency in statistical analysis and management of large datasets (e.g. Demographic Health Surveys and censuses) using software’s like Stata and SPSS, hands-on experience in a similar work, and excellent writing and communication skills in English. Evidence of scientific publications and/ or scientific conference presentations is desirable.

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