# COVID-19 infections in German long-term care facilities: a descriptive three-level analysis using claims and infection statistics data from October 2020 to March 2021

**Authors:** Raphael Kohl, Kathrin Jürchott, Christian Hering, Annabell Gangnus, Elisabeth Steinhagen-Thiessen, Jan Paul Heisig, Adelheid Kuhlmey, Antje Schwinger, Paul Gellert

PMC · DOI: 10.1186/s12889-026-26510-5 · BMC Public Health · 2026-02-07

## TL;DR

This study analyzed factors at individual, facility, and regional levels linked to COVID-19 infections in German long-term care facilities from October 2020 to March 2021.

## Contribution

The study uniquely combines multiple levels of data to identify factors associated with LTCF infections during the pandemic.

## Key findings

- Male sex, dementia, and higher care dependency increased individual infection risk.
- Larger facility size and older resident age increased facility-level infection risk.
- Higher district-level population infection rates and facility size were linked to higher LTCF infection rates.

## Abstract

Although many studies have investigated COVID-19 outbreaks in long-term care facilities (LTCFs), evidence that combines multiple clustered levels is scarce. We aimed to describe individual, LTCF, and regional-level factors associated with COVID-19 infections.

We conducted a nationwide study using insurance claims data from Germany between 1st October 2020 and 31st March 2021. The sample comprised 284,186 residents over 60 years in 9,869 LTCFs across all of Germany’s 400 districts. We used multilevel logistic regression to model associations between individual, LTCF, and district-level factors, and the probability of a COVID-19 infection.

A total of 44,042 (15.5%) COVID-19 infections were recorded during the study period. On the individual level, male sex (OR 1.15; 95% CI 1.12–1.18), dementia (OR 1.09; CI 1.06–1.11), medium-severe care dependency level 3 and 4 (OR 1.17; CI 1.12–1.22 / OR 1.21; CI 1.16–1.26) were associated with greater risk of infection. At the LTCF level, infection risks increased with the mean age of residents (OR 1.09; CI 1.03–1.15) and higher resident numbers (OR 1.20; CI 1.14–1.27). On the district level, a higher proportion of public LTCFs was associated with lower infection risks (OR 0.90; CI 0.84–0.97), while a higher mean number of residents (OR 1.16; CI 1.05–1.28), and the district-level SARS-CoV-2 incidence rate among the general population (OR 1.54; CI 1.41–1.67) was associated with higher risks. A cross-level interaction between facility size and COVID-19 prevalence was not significant (p > 0.5).

We found evidence of individual, facility, and regional levels factors associated with COVID-19 infections among older adults in LTCFs. Future measures to combat infections, outbreaks, and pandemics should take an orchestrated multilevel approach.

The online version contains supplementary material available at 10.1186/s12889-026-26510-5.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), infection (MESH:D007239), dementia (MESH:D003704)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

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## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC12930546/full.md

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Source: https://tomesphere.com/paper/PMC12930546