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J Infect Public Health . Epidemiology of COVID-19 in Berlin-Neukölln nursing homes

tetano

Editor, Senior Moderator
J Infect Public Health


. 2024 Sep 20;17(11):102546.
doi: 10.1016/j.jiph.2024.102546. Online ahead of print. Epidemiology of COVID-19 in Berlin-Neukölln nursing homes

Alexandra Roth[SUP] 1 [/SUP], Lena Gehre[SUP] 2 [/SUP], Jonas Gerke[SUP] 2 [/SUP], Maja Lutz[SUP] 2 [/SUP], Georgianna Manafa[SUP] 3 [/SUP], Tillman Schmitz[SUP] 4 [/SUP], Christoph Lambio[SUP] 4 [/SUP], Sida Zhuang[SUP] 4 [/SUP], Jeffrey Butler[SUP] 4 [/SUP], Tobia Lakes[SUP] 4 [/SUP], Nicolai Savaskan[SUP] 5 [/SUP]



Affiliations
Abstract

Background: The COVID-19 pandemic has affected various urban population groups in different ways. Earlier studies have shown that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disproportionally impacts nursing home residents by increasing morbidity and mortality following viral exposure. However, little is known about the epidemiology of this disease in detail. Therefore, the objective of this study is to analyze the development of the COVID-19 pandemic in 14 nursing homes across Berlin-Neukölln, Germany, during pandemic waves 1 to 5 (Feb 2020 - May 2022).
Methods: Reporting data to the Neukölln Department of Public Health on COVID-19 cases in connection with nursing homes were extracted from the SORMAS database. The case fatality rates (CFRs) and odds ratios (ORs) of demographic parameters, prevalent variants of concern (VOCs) and vaccine availability were calculated. In addition, the temporal course in waves 1-5 in Neukölln and the relevant government measures were examined.
Results: Data collected from nursing homes providing age-dependent physical care revealed that 1.9 % of the total 108,600 cases registered in Berlin-Neukölln during the study period were related one of the 14 facilities. Compared to the general population in Neukölln, nursing homes exhibited a 20-fold increase in the CFR. Notably, nursing homes with higher bed capacities displayed a greater CFR than did smaller nursing homes. Similarly, elderly residents living in nursing homes faced a much greater mortality rate than did their counterparts living outside of medical settings (OR = 3.5). The original wild-type SARS-CoV-2 strain had the most severe direct impact, with a CFR of 16.7 %, compared to the alpha (CFR = 6.9 %), delta (CFR = 10.2 %) and omicron (CFR = 2.8 %) variants in nursing homes. Interestingly, the number of infections increased following vaccination campaigns, but this trend was accompanied by a decrease in the number of deaths from 2.6 to 1.1 per week. As a result, the CFR significantly decreased from 18.4 to 5.5, while still exceeding the mean CFR compared to that of the general population of Neukölln.
Conclusions: Our findings reveal the changing patterns of outbreak frequency and severity across the five pandemic waves. They highlight the crucial role of rapid vaccination programs for residents, staff, visitors, and third-party services in safeguarding nursing homes. Additionally, improvements in containment and cluster strategies are essential in prevaccination scenarios to prevent future infection traps for elderly individuals in long-term care facilities. The presented data highlight the importance of tailored protection measures for one of the most vulnerable populations in our society.

Keywords: Health care institutions; Infection prevention; Outbreak; Pandemic; SARS-CoV-2; VOC; Vulnerable cohort.

 
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