Kim Woo-Hyun, Cho Seongbeom
College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, South Korea.
Front Vet Sci. 2021 Jun 24;8:597630. doi: 10.3389/fvets.2021.597630. eCollection 2021.
It is important to understand pathogen transmissibility in a population to establish an effective disease prevention policy. The basic reproduction number ( ) is an epidemiologic parameter for understanding the characterization of disease and its dynamics in a population. We aimed to estimate the of the highly pathogenic avian influenza (HPAI) subtypes H5N1, H5N8, and H5N6, which were associated with nine outbreaks in Korea between 2003 and 2018, to understand the epidemic transmission of each subtype. According to HPAI outbreak reports of the Animal and Plant Quarantine Agency, we estimated the generation time by calculating the time of infection between confirmed HPAI-positive farms. We constructed exponential growth and maximum likelihood (ML) models to estimate the basic reproduction number, which assumes the number of secondary cases infected by the index case. The Kruskal-Wallis test was used to analyze the epidemic statistics between subtypes. The estimated generation time of H5N1, H5N8, and H5N6 were 4.80 days [95% confidence interval (CI) 4.23-5.38] days, 7.58 (95% CI 6.63-8.46), and 5.09 days (95% CI 4.44-5.74), respectively. A pairwise comparison showed that the generation time of H5N8 was significantly longer than that of the subtype H5N1 ( = 0.04). Based on the ML model, was estimated as 1.69 (95% CI 1.48-2.39) for subtype H5N1, 1.60 (95%CI 0.97-2.23) for subtype H5N8, and 1.49 (95%CI 0.94-2.04) for subtype H5N6. We concluded that estimates may be associated with the poultry product system, climate, species specificity based on the HPAI virus subtype, and prevention policy. This study provides an insight on the transmission and dynamics patterns of various subtypes of HPAI occurring worldwide. Furthermore, the results are useful as scientific evidence for establishing a disease control policy.
了解病原体在人群中的传播能力对于制定有效的疾病预防政策至关重要。基本再生数( )是一个流行病学参数,用于了解疾病在人群中的特征及其动态变化。我们旨在估计2003年至2018年期间在韩国与9次疫情相关的高致病性禽流感(HPAI)H5N1、H5N8和H5N6亚型的基本再生数,以了解每种亚型的疫情传播情况。根据动植物检疫局的HPAI疫情报告,我们通过计算确诊的HPAI阳性养殖场之间的感染时间来估计代时。我们构建了指数增长模型和最大似然(ML)模型来估计基本再生数,该模型假设由索引病例感染的二代病例数。使用Kruskal-Wallis检验分析各亚型之间的疫情统计数据。H5N1、H5N8和H5N6的估计代时分别为4.80天[95%置信区间(CI)4.23 - 5.38]天、7.58(95%CI 6.63 - 8.46)天和5.09天(95%CI 4.44 - 5.74)。两两比较显示,H5N8的代时显著长于H5N1亚型( = 0.04)。基于ML模型,H5N1亚型的基本再生数估计为1.69(95%CI 1.48 - 2.39),H5N8亚型为1.60(95%CI 0.97 - 2.23),H5N6亚型为1.49(95%CI 0.94 - 2.04)。我们得出结论,基本再生数估计可能与家禽产品系统、气候、基于HPAI病毒亚型的物种特异性以及预防政策有关。本研究提供了对全球范围内发生的各种HPAI亚型的传播和动态模式的见解。此外,研究结果可作为制定疾病控制政策的科学依据。