MMM
YYYY
Natural history and cycle threshold values analysis of COVID-19 in Xiamen City, China
厦门市新冠肺炎自然史和周期阈值分析
中国アモイ市におけるCOVID‐19の自然史とサイクルしきい値解析
하문시 코로나 자연사와 주기 한도값 분석
Análisis de la historia natural y el umbral del ciclo de neumonía por coronas nuevas en Xiamen
Analysis of Natural History and Periodic Threshold of Xinguan pneumonia in Xiamen
анализ естественной истории новой коронной пневмонии и пороговых значений цикла в Сямыне
Bin Deng ¹, 邓彬 Weikang Liu 刘炜康 ¹, Zhinan Guo 郭志南 ², Li Luo 罗丽 ¹, Tianlong Yang 杨天龙 ¹, Jiefeng Huang 黄杰锋 ¹, Buasiyamu Abudunaibi ¹, Yidun Zhang ², Xue Ouyang 欧阳雪 ², Demeng Wang ², Chenghao Su 苏成豪 ³, Tianmu Chen 陈田木 ¹
¹ State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China
中国 厦门 厦门大学公共卫生学院 分子疫苗学和分子诊断学国家重点实验室
² Xiamen Center for Disease Control and Prevention, Xiamen City, Fujian Province, People's Republic of China
中国 厦门 厦门市疾病预防控制中心
³ Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen City, Fujian Province, People's Republic of China
中国 厦门 复旦大学附属中山医院厦门医院
Infectious Disease Modelling, 9 August 2022
Abstract

Objective

This study elaborated the natural history parameters of Delta variant, explored the differences in detection cycle thresholds (Ct) among cases.

Methods

Natural history parameters were calculated based on the different onset time and exposure time of the cases. Intergenerational relationships between generations of cases were calculated. Differences in Ct values of cases by gender, age, and mode of detection were analyzed statistically to assess the detoxification capacity of cases.

Results

The median incubation period was 4 days; the detection time for cases decreased from 25 to 7 h as the outbreak continued. The average generation time (GT), time interval between transmission generations (TG) and serial interval (SI) were 3.6 ± 2.6 days, 1.67 ± 2.11 days and 1.7 ± 3.0 days. Among the Ct values, we found little differences in testing across companies, but there were some differences in the gender of detected genes. The Ct values continuous to decreased with age, but increased when the age was greater than 60.

Conclusion

This epidemic was started from aggregation of factories. It is more reasonable to use SI to calculate the effective reproduction number and the time-varying reproduction number. And the analysis of Ct values can improve the positive detection rate and improve prevention and control measures.
Infectious Disease Modelling_1
Infectious Disease Modelling_2
Infectious Disease Modelling_3
Infectious Disease Modelling_4
Reviews and Discussions
https://www.hotpaper.io/index.html
Photo-processing of perovskites: current research status and challenges
Towards integrated mode-division demultiplexing spectrometer by deep learning
Discovery of novel aspartate derivatives as highly potent and selective FXIa inhibitors
Large-scale and high-quality III-nitride membranes through microcavity-assisted crack propagation by engineering tensile-stressed Ni layers
Metasurface-based nanoprinting: principle, design and advances
Crosstalk-free achromatic full Stokes imaging polarimetry metasurface enabled by polarization-dependent phase optimization
All-optical logic gate computing for high-speed parallel information processing
100 Hertz frame-rate switching three-dimensional orbital angular momentum multiplexing holography via cross convolution
Brillouin scattering spectrum for liquid detection and applications in oceanography
3D imaging lipidometry in single cell by in-flow holographic tomography
Carnivorous plants inspired shape-morphing slippery surfaces
Piezoresistive design for electronic skin: from fundamental to emerging applications



Previous Article                                Next Article
About
|
Contact
|
Copyright © Hot Paper