Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
BMC Infect Dis. 2021 Jun 15;21(1):577. doi: 10.1186/s12879-021-06299-x.
During outbreaks of emerging and re-emerging infections, the lack of effective drugs and vaccines increases reliance on non-pharmacologic public health interventions and behavior change to limit human-to-human transmission. Interventions that increase the speed with which infected individuals remove themselves from the susceptible population are paramount, particularly isolation and hospitalization. Ebola virus disease (EVD), Severe Acute Respiratory Syndrome (SARS), and Middle East Respiratory Syndrome (MERS) are zoonotic viruses that have caused significant recent outbreaks with sustained human-to-human transmission.
This investigation quantified changing mean removal rates (MRR) and days from symptom onset to hospitalization (DSOH) of infected individuals from the population in seven different outbreaks of EVD, SARS, and MERS, to test for statistically significant differences in these metrics between outbreaks.
We found that epidemic week and viral serial interval were correlated with the speed with which populations developed and maintained health behaviors in each outbreak.
These findings highlight intrinsic population-level changes in isolation rates in multiple epidemics of three zoonotic infections with established human-to-human transmission and significant morbidity and mortality. These data are particularly useful for disease modelers seeking to forecast the spread of emerging pathogens.
在新发和再现传染病爆发期间,缺乏有效药物和疫苗会增加对非药物公共卫生干预措施和行为改变的依赖,以限制人与人之间的传播。增加感染者从易感人群中移除自身的速度的干预措施至关重要,特别是隔离和住院治疗。埃博拉病毒病(EVD)、严重急性呼吸系统综合征(SARS)和中东呼吸系统综合征(MERS)是动物源性病毒,最近引起了重大爆发,并持续发生人与人之间的传播。
本研究量化了七种不同 EVD、SARS 和 MERS 暴发中感染者从人群中去除的平均去除率(MRR)和从症状出现到住院的天数(DSOH),以检验这些指标在暴发之间是否存在统计学显著差异。
我们发现,在每个暴发中,流行周和病毒序列间隔与人群在每个暴发中开发和维持健康行为的速度相关。
这些发现强调了三种具有明确人与人之间传播途径和显著发病率和死亡率的动物源性传染病的多个流行中的固有人群隔离率的变化。这些数据对于寻求预测新出现病原体传播的疾病模型非常有用。