| Makale Türü | Özgün Makale |
| Makale Alt Türü | SCOPUS dergilerinde yayınlanan tam makale |
| Dergi Adı | International Journal of Computational and Experimental Science and Engineering |
| Dergi ISSN | 2149-9144 Scopus Dergi |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2024 |
| Cilt No | 10 |
| Sayı | 1 |
| Sayfalar | 72 / 78 |
| DOI Numarası | 10.22399/ijcesen.243 |
| Makale Linki | https://www.ijcesen.com/index.php/ijcesen |
| Özet |
| It’s increasingly recognized that SARS-CoV-2 can produce long-term chronic complications after recovering from the acute effects of the infection. But little is known about the prevalence, risks, or whether it’s possible to predict a long-term course of the disease in the early stages, the resulting quality of life disorder. In this study, the effects of chronic Covid-19 syndromes (CCS) on type, prevalence, quality of life after recovery in Covid-19 patients were investigated. Four weeks after the quarantine period of the patients was completed, a cross-sectional study was conducted with a questionnaire on people reached via Google forms to determine the symptoms of long-Covid. 1044 people over the age of 18, who aren’t pregnant, and who have had Covid-19 were included in the analysis. It was determined that 65.6% (n=685) of the participants continued to have symptoms after the PCR test was negative/after they recovered. It was concluded that myalgia, fatigue, joint pain, anosmia was observed in 76.4% (n=797) of the individuals participating in our study. It has been observed that people who have had Covid-19 commonly show additional or ongoing symptoms and associated impairment of quality of life in the short term. It was determined that individuals who initially had a symptom of shortness of breath or lung involvement were more likely to develop long-term symptoms. More importantly, our study revealed that the overall disease level is an important variable that should be considered when assessing the statistical significance of symptoms associated with Covid-19. |
| Anahtar Kelimeler |
| SARS-CoV-2 | Covid-19 | Long Covid | Chronic Covid syndrome |
| Dergi Adı | International Journal of Computational and Experimental Science and Engineering |
| Yayıncı | Prof.Dr. İskender AKKURT |
| Açık Erişim | Hayır |
| E-ISSN | 2149-9144 |
| CiteScore | 3,3 |
| SJR | 0,243 |
| SNIP | 0,382 |