Yayın: Important factors affecting the transmission rate of COVID-19 in G20 and EU
| dc.contributor.author | Kocadağli, Ozan | |
| dc.contributor.author | Köse, Ali Mertcan | |
| dc.contributor.author | Gökmen Inan, Neslihan | |
| dc.contributor.author | Özer, Ezgi | |
| dc.contributor.author | Yaman Kocadağli, Aylin | |
| dc.contributor.author | Bostanci, Ecem | |
| dc.date.accessioned | 2026-01-29T06:24:55Z | |
| dc.date.issued | 2022-01-01 | |
| dc.description.abstract | Coronavirus 2019 (COVID-19) is an infectious respiratory disease that might be fatal to humans due to severe acute respiratory syndrome coronovirus-2. COVID-19 first appeared in Wuhan, China in 2019 and soon have spread all over the world. Therefore, it was accepted as a global epidemic by the World Health Organization in March 2020. The aim of this study is to reveal the effects of the demographic structure of the countries, their socio-economic development, the precautions, and health practices implemented by the governments against COVID-19 on the rate of transmission until the first peak days (plateaus) are appeared. Due to the socio-economic developments and reaching out the clear and transparent COVID-19 dataset, the sample of the study was formed from G20 and EU countries. The in terpretable factors affecting the transmission rate of COVID-19 were extracted with factor analysis and multidimensional scaling. Multivariate analysis figures out the effects of th e pr ecautions an d health practices implemented by G20 and EU countries with similar/different socio-economic development characteristics on the transmission rate. For instance, a result obtained from the multivariate analyzes is that COVID-19 cases in developed and developing countries differ from each other at their first plateaus. Another noteworthy inference is that COVID-19 cases are trending similarly within some developed countries with the higher ratio of population (65+) and Human Development Index (HDI). Furthermore, the population ratio (15-64) is itself an explanatory factor that can be used to characterize similar transmission patterns between countries. Consequently, these findings may help state authorities to take urgent precautions and manage such a global epidemic by much more efficient health policies. | |
| dc.description.uri | https://doi.org/10.14744/sigma.2022.00017 | |
| dc.description.uri | https://hdl.handle.net/20.500.12713/2730 | |
| dc.description.uri | https://dergipark.org.tr/tr/pub/sigma/issue/69068/1093271 | |
| dc.identifier.doi | 10.14744/sigma.2022.00017 | |
| dc.identifier.eissn | 1304-7205 | |
| dc.identifier.openaire | doi_dedup___::a24657f578a588c307c2f9972d340098 | |
| dc.identifier.orcid | 0000-0003-4354-7383 | |
| dc.identifier.orcid | 0000-0002-5464-9441 | |
| dc.identifier.orcid | 0000-0002-7855-1297 | |
| dc.identifier.uri | https://hdl.handle.net/11527/69105 | |
| dc.publisher | Kare Publishing | |
| dc.relation.ispartof | Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi | |
| dc.rights | OPEN | |
| dc.sdg.type | Goal 1: No Poverty | |
| dc.sdg.type | Goal 3: Good Health and Well-being | |
| dc.sdg.type | Goal 8: Decent Work and Economic Growth | |
| dc.subject | Mühendislik | |
| dc.subject | Precautions | |
| dc.subject | Engineering | |
| dc.subject | Transmission Rate | |
| dc.subject | G20 | |
| dc.subject | Multi-dimensional Scaling | |
| dc.subject | Covid-19 | |
| dc.subject | EU | |
| dc.subject | Covid-19 | |
| dc.subject | Transmission rate | |
| dc.subject | Precautions | |
| dc.subject | G20 | |
| dc.subject | EU | |
| dc.subject | Socio-economic factors | |
| dc.subject | Factor analysis | |
| dc.subject | Multi-dimensional scaling | |
| dc.subject | Factor Analysis | |
| dc.subject | Socio-economic Factors | |
| dc.title | Important factors affecting the transmission rate of COVID-19 in G20 and EU | |
| dc.type | Article | |
| dspace.entity.type | Publication |