Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach
Epidemiological studies in refugee settings are often challenged by the denominator problem, i.e. lack of population at risk data. We develop an empirical approach to address this problem by assessing relationships between occupancy data in refugee centres, number of refugee patients in walk-in clin...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
01 April 2024
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| In: |
BMC medical research methodology
Year: 2024, Jahrgang: 24, Pages: 1-14 |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-024-02204-7 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12874-024-02204-7
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| Verfasserangaben: | Stella Erdmann, Rosa Jahn, Sven Rohleder and Kayvan Bozorgmehr |
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| 520 | |a Epidemiological studies in refugee settings are often challenged by the denominator problem, i.e. lack of population at risk data. We develop an empirical approach to address this problem by assessing relationships between occupancy data in refugee centres, number of refugee patients in walk-in clinics, and diseases of the digestive system. | ||
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