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Quantifying the epidemic spread of Ebola virus (EBOV) in Sierra Leone using phylodynamics

机译:使用系统动力学方法对埃博拉病毒(EBOV)在塞拉利昂的流行扩散进行定量

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Measuring epidemic parameters early in an outbreak is essential to inform control efforts. Using the viral genome sequence and collection date from 78 infections in the 2014 Ebola virus outbreak in Sierra Leone, we estimate key epidemiological parameters such as infectious period duration (approximately 71hours) and date of the first case in Sierra Leone (approximately April 25th). We also estimate the effective reproduction number, R-e, (approximately 1.26), which is the number of secondary infections effectively caused by an infected individual and accounts for public health control measures. This study illustrates that phylodynamics methods, applied during the initial phase of an outbreak on fewer and more easily attainable data, can yield similar estimates to count-based epidemiological studies.
机译:在疫情爆发早期测量流行病参数对于控制工作至关重要。使用2014年塞拉利昂埃博拉病毒暴发中78例感染的病毒基因组序列和收集日期,我们估算了关键的流行病学参数,例如感染期持续时间(大约71小时)和塞拉利昂首例病例的日期(大约4月25日)。我们还估计了有效繁殖数R-e(约1.26),这是由感染者有效引起的继发感染数,并说明了公共卫生控制措施。这项研究表明,在疫情爆发初期对更少,更容易获得的数据应用的系统动力学方法可以得出与基于计数的流行病学研究类似的估计。

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