A Study on Forecastıng the Impact of Covıd-19 on Emergency Servıce in a Publıc Hospıtal
| dc.contributor.author | Fatma Gül, Fatma Gül | en_US |
| dc.contributor.author | Çelik Eroğlu, Şeyma | en_US |
| dc.date.accessioned | 2022-11-01T08:27:52Z | en_US |
| dc.date.available | 2022-11-01T08:27:52Z | en_US |
| dc.date.issued | 2022-10-30 | en_US |
| dc.description.abstract | The COVID-19 pandemic has seriously threatened human life all over the world since the first quarter of 2020. Hospitals have fought on the frontlines against this threat. The aim of this study is to predict the number of monthly emergency service patients for a public hospital. In particular, the impact of the COVID-19 pandemic on the number of emergency service patients was examined. While the data set for the period January 2012- June 2021 (114 months) is used in the analyses, two different data sets were created for the Box- Jenkins (B-J) and Gray Prediction approaches. Then, the number of monthly emergency service patients was predicted using the SARIMA model, GM (1,1) and TGM. In the analyses, while examining the long-term trend of the number emergency services patients’ using the SARIMA model, GM (1,1) and TGM were used to focus on the COVID-19 period. The findings suggest that the TGM has the most successful results in terms of evaluation criteria | en_US |
| dc.identifier.issn | 2149-1658 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11672/3992 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Mehmet Akif Ersoy University Journal of Economics and Administrative Sciences Faculty | en_US |
| dc.relation.isversionof | 10.30798/makuiibf.1033816 | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Emergency Service | en_US |
| dc.subject | Sarıma | en_US |
| dc.subject | GM (1,1) | en_US |
| dc.subject | TGM | en_US |
| dc.title | A Study on Forecastıng the Impact of Covıd-19 on Emergency Servıce in a Publıc Hospıtal | en_US |
| dc.type | Article | en_US |