| Autor: |
Abudurusuli, Guzainuer, Kaiwei Luo, Xiaohao Guo, Zeyu Zhao, Yichao Guo, Abudunaibi, Buasiyamu, Shiting Yang, Hongjie Wei, Shanlu zhao, Zhihui Dai, Qianlai Sun, Hao Yang, Shixiong Hu, Tianmu Chen |
| Předmět: |
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| Zdroj: |
Infectious Disease Modelling (2468-2152); Mar2023, Vol. 8 Issue 1, p203-211, 9p |
| Abstrakt: |
Since the epidemic of the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), many governments have used reverse transcription polymerase chain reaction (RT-PCR) to detect the virus. However, there are fewer measures of CT values information based on RTPCR results, and the relationship between CT values and factors from consecutive tests is not clear enough. So in this study, we analyzed the connection between CT values and the factors based on cohort data from Delta variant of SARS-CoV-2 in Hunan Province. Previous studies have showed that the mean age of the cases was 33.34 years (±18.72 years), with a female predominance (55.03%, n = 71), and the greatest proportion of clinical symptoms were of the common type (60.47%, n = 78). There were statistical differences between the N and ORF1ab genes in the CT values for the cases. Based on the analysis of the association between CT values and the factors, the lowest CT values were obtained for the unvaccinated, older and clinically symptomatic group at 3e10 days, the maximum peak of viral load occurred. Therefore, it is recommended to use patient information to focus on older, clinically symptomatic, unvaccinated patients and to intervene promptly upon admission. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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