Abstract
Research on social isolation and loneliness has largely overlooked refugees, who are among the loneliest in society. This study employs the COVID-19 pandemic as a natural experiment to examine how stable and situational social isolation contribute to loneliness. Drawing on two-wave panel data from 647 Syrian refugees in the Netherlands, fielded before and during the pandemic, we explore the stability of social ties across geographical and ethnic dimensions and how fluctuations lead to varying degrees of loneliness. While transnational ties served as a social safety net against loneliness during situational social isolation, our findings underscore their limited effectiveness compared to the more transient but protective local ties. Refugees who lacked local ties or experienced a disruption in local inter-ethnic ties were particularly vulnerable to heightened loneliness, emphasizing the importance of maintaining geographically close ties.
| Original language | English |
|---|---|
| Pages (from-to) | 265-277 |
| Number of pages | 13 |
| Journal | Journal of Refugee Studies |
| Volume | 39 |
| Issue number | 1 |
| Early online date | 30 Oct 2025 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Funding
The data were provided by the EUR Bridge project and used with permission from Erasmus University Rotterdam, based on a data sharing agreement. In addition, this work was supported by the Swiss National Science Foundation grant (Weave/Lead Agency Grant No. 205182) and the Fonds Wetenschappelijk Onderzoek-Vlaanderen under Grant 12A7522N LV 3088.
| Funders | Funder number |
|---|---|
| Swiss National Science Foundation grant (Weave/Lead Agency) | 205182 |
| Fonds Wetenschappelijk Onderzoek-Vlaanderen | 12A7522N LV 3088 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- co-ethnic contact
- inter-ethnic contact
- latent transition analysis
- loneliness
- refugees
- transnational contact
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