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1.
Artigo em Alemão | MEDLINE | ID: mdl-34379132

RESUMO

INTRODUCTION: The new infectious disease COVID-19 first appeared in China in December 2019. So far, a systematic evaluation of death certificates of COVID-19-associated deaths of residents in inpatient nursing homes has not been presented. METHODS: Death certificates of all deaths in Munich in the death period from 1 March to 31 July 2020 were analyzed. Inclusion criteria were the presence of "Corona, COVID-19, SARS-CoV-2" on the death certificates. Standardized, anonymized data entry was performed. The collected data were analyzed descriptively. RESULTS: During the study period, a total of 5840 persons died, 281 (4.8%) of whom died of confirmed COVID-19 disease. Of those, 72 deaths involved residents of Munich nursing facilities. The most frequent causes of death were respiratory insufficiency (54 cases) and multiple organ failure (9 cases). On the death certificates, an average of two preexisting diseases had been reported; the average age at death was 88 years. All deaths of nursing home residents occurred in association with nosocomial COVID-19 outbreaks, which affected one-third of the facilities. The vast majority of these homes did not have a COVID-19 hygiene plan in place at the time. DISCUSSION: One quarter of all COVID-19 deaths in Munich occurred in the context of nosocomial outbreaks in elderly, chronically ill residents of nursing facilities. Evidence of inadequate risk assessment and inadequate hygiene management emerged. In the opinion of the authors, the appropriate structures for adequate hygiene management must be created and a hygiene regulation must be issued in which the tasks and responsibilities of the facility operators are defined.


Assuntos
COVID-19 , Pacientes Internados , Casas de Saúde , Idoso , COVID-19/mortalidade , Causas de Morte , Alemanha/epidemiologia , Humanos
2.
Artigo em Alemão | MEDLINE | ID: mdl-34398246

RESUMO

INTRODUCTION: In light of the current COVID-19 pandemic, the idea arose to conduct a study to comparatively evaluate deaths from two respiratory transmissible infectious diseases (pandemic COVID-19 and seasonal influenza) by means of death certificates received by the health department. METHODS: Death certificates of all deaths in Munich in the death period from 1 March-31 December 2020 were analyzed. The predefined inclusion criteria were the indication of "Corona, COVID-19, SARS-CoV­2, Influenza (A/B)" on the death certificates. Standardized data entry was performed. The collected data were analyzed descriptively in aggregated form. RESULTS: A total of 12,441 persons died during the study period, 1029 (8.3%) from confirmed COVID-19 and 22 (0.1%) from influenza. The two collectives matched well in the parameters studied. The mean age at death was approximately 80 years and the most common site of death was in hospital. Infectious disease was the cause of death in more than 90% of cases. The most common causes of death were acute respiratory distress syndrome/respiratory failure and multiorgan failure. An average of two previous illnesses were reported, most commonly diseases of the circulatory system and nervous system. There was no influenza death in the second pandemic wave. DISCUSSION: In this study, COVID-19- and influenza-associated deaths were compared for the first time. The deaths of both collectives matched well in the parameters studied, but still require verification in a larger study given the small numbers of influenza cases. An English full-text version of this article is available at SpringerLink as Supplementary Information.


Assuntos
COVID-19 , Atestado de Óbito , Influenza Humana , COVID-19/mortalidade , Alemanha/epidemiologia , Humanos , Influenza Humana/mortalidade , Pandemias
3.
Artigo em Alemão | MEDLINE | ID: mdl-32857174

RESUMO

The interest in using geographic methods for health monitoring has grown strongly over the last two decades. Through these methods, analysis and visualization of health data can be more focused and target-group specific. The application in health monitoring is possible mostly due to broader technical possibilities and more available datasets. In this article, we show which geographic aspects are adapted in health monitoring at different levels (federal, state, municipality).For example, at the federal level, surveillance methods are used; at the state level health atlases are created; and on the municipality level geographic analyses are performed for possible public health interventions.Methods range from simple maps on different levels of aggregation to more complex methods like space-temporal visualization or spatial-smoothing methods. While the technical possibilities are in place, a broader implementation of geographic methods is mostly hindered by missing data access to small-area information and data protection policies. Better access to data could especially improve the possibility for geographic methods in health monitoring and could inform the population and decision makers to inform and improve population health or healthcare.


Assuntos
Sistemas de Informação Geográfica , Saúde Pública , Alemanha
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