Summary
The health effects of the migration trajectory, from pre- to post-migration in new environments, have yet been poorly studied. Methodological challenges and selection effects limit the possibilities for causal inferences on how differences in social, economic, or political factors at small-area level affect variation in health among migrants (e.g. differential mortality or self-reported health). Knowledge about such relations would not only inform better and health and integration policies for migrants. Considering migrants as humans in new environments (not as singularity), may allow to conclude on the relationship between context and health more general, and inform public health beyond immigration. However, randomisation of individuals into new contexts is not possible, and establishment of prospective cohorts (from pre- to post-migration settings) is challenging, resource-intensive and prone to selection bias. The aim of INTERSECT is to study human mobility and health consequences of different social, economic and policy environments at small-area level. To this end, INTERSECT builds on three innovations: i) it re-constructs the migration trajectory by using existing data among German-bound re-settlement refugees through data-linkage or distributed computation techniques, ii) it capitalises on mandatory dispersal as natural experiment to minimise selective migration into contexts, iii) it prospectively collects primary data on health of resettlement refugees and combines these with administrative and contextual data. Using these methodological innovations, INTERSECT creates a unique research infrastructure that allows answering important research questions on social, economic and political factors at small-area level which causally explain A) mortality differences among refugees while considering baseline health status; B) changes in self-reported health status depending on changes in contexts; and C) individual and/or contextual factors moderating such effects.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101124992 |
| Start date: | 01-07-2024 |
| End date: | 30-06-2029 |
| Total budget - Public funding: | 1 999 990,00 Euro - 1 999 990,00 Euro |
Cordis data
Original description
The health effects of the migration trajectory, from pre- to post-migration in new environments, have yet been poorly studied. Methodological challenges and selection effects limit the possibilities for causal inferences on how differences in social, economic, or political factors at small-area level affect variation in health among migrants (e.g. differential mortality or self-reported health). Knowledge about such relations would not only inform better and health and integration policies for migrants. Considering migrants as humans in new environments (not as singularity), may allow to conclude on the relationship between context and health more general, and inform public health beyond immigration. However, randomisation of individuals into new contexts is not possible, and establishment of prospective cohorts (from pre- to post-migration settings) is challenging, resource-intensive and prone to selection bias. The aim of INTERSECT is to study human mobility and health consequences of different social, economic and policy environments at small-area level. To this end, INTERSECT builds on three innovations: i) it re-constructs the migration trajectory by using existing data among German-bound re-settlement refugees through data-linkage or distributed computation techniques, ii) it capitalises on mandatory dispersal as natural experiment to minimise selective migration into contexts, iii) it prospectively collects primary data on health of resettlement refugees and combines these with administrative and contextual data. Using these methodological innovations, INTERSECT creates a unique research infrastructure that allows answering important research questions on social, economic and political factors at small-area level which causally explain A) mortality differences among refugees while considering baseline health status; B) changes in self-reported health status depending on changes in contexts; and C) individual and/or contextual factors moderating such effects.Status
SIGNEDCall topic
ERC-2023-COGUpdate Date
17-11-2024
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