Kemenesi, Gábor and Kornya, László and Toth, Gabor Endre and Kurucz, Kornélia and Zeghbib, Safia and Somogyi, Balázs Antal and Urbán, Péter and Herczeg, Róbert and Jakab, Ferenc (2020) Nursing homes and the elderly regarding the COVID-19 pandemic: situation report from Hungary. GEROSCIENCE: OFFICIAL JOURNAL OF THE AMERICAN AGING ASSOCIATION (AGE), 42 (4). pp. 1093-1099. ISSN 2509-2715
|
Text
11357_2020_Article_195.pdf Download (833kB) | Preview |
Abstract
The global impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is significant in terms of public health effects and its long-term socio-economic implications. Among all social groups, the elderly is by far the most affected age group regarding morbidity and mortality. In multiple countries spanning several continents, there are an increasing number of reports referencing the novel coronavirus disease-2019 (COVID-19) spread among nursing homes. These areas are now recognized as potent hotspots regarding the pandemic, which one considers with special regard. Herein, we present currently available data of fatal COVID-19 cases throughout Hungary, along with the analysis of the co-morbidity network. We also report on viral genomic data originating from a nursing home resident. The genomic data was used for viral haplotype network analysis. We emphasize the urgent need for public health authorities to focus on nursing homes and residential service units worldwide, especially in the care of the elderly and infirmed. Our results further emphasize the recent statement released by the World Health Organization (WHO) regarding the vulnerability among seniors and especially the high risk of COVID-19 emergence throughout nursing and social homes.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Agency and Grant Number: University of Pecs (PTE); Hungarian Academy of SciencesHungarian Academy of Sciences; Ministry For Innovation and Technology [UNKP-19-3] Funding text: Open access funding provided by University of Pecs (PTE). GK was supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. SBA was supported by the UNKP-19-3 New National Excellence Program of the Ministry For Innovation and Technology. |
| Uncontrolled Keywords: | OUTBREAK; genome sequencing; Hotspot; nCoV2019; |
| Subjects: | Q Science / természettudomány > QR Microbiology / mikrobiológia > QR355 Virology / víruskutatás |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 27 Sep 2020 10:27 |
| Last Modified: | 27 Sep 2020 10:27 |
| URI: | http://real.mtak.hu/id/eprint/114845 |
Actions (login required)
 |
Edit Item |
