School of Life Sciences, University of Warwick, Coventry, United Kingdom.
Zeeman Institue (SBIDER), University of Warwick, Coventry, United Kingdom.
PLoS Comput Biol. 2020 Jul 2;16(7):e1008031. doi: 10.1371/journal.pcbi.1008031. eCollection 2020 Jul.
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread globally and has the potential to infect large numbers of people in every country. Estimating the country-specific basic reproductive ratio is a vital first step in public-health planning. The basic reproductive ratio (R0) is determined by both the nature of pathogen and the network of human contacts through which the disease can spread, which is itself dependent on population age structure and household composition. Here we introduce a transmission model combining age-stratified contact frequencies with age-dependent susceptibility, probability of clinical symptoms, and transmission from asymptomatic (or mild) cases, which we use to estimate the country-specific basic reproductive ratio of COVID-19 for 152 countries. Using early outbreak data from China and a synthetic contact matrix, we estimate an age-stratified transmission structure which can then be extrapolated to 151 other countries for which synthetic contact matrices also exist. This defines a set of country-specific transmission structures from which we can calculate the basic reproductive ratio for each country. Our predicted R0 is critically sensitive to the intensity of transmission from asymptomatic cases; with low asymptomatic transmission the highest values are predicted across Eastern Europe and Japan and the lowest across Africa, Central America and South-Western Asia. This pattern is largely driven by the ratio of children to older adults in each country and the observed propensity of clinical cases in the elderly. If asymptomatic cases have comparable transmission to detected cases, the pattern is reversed. Our results demonstrate the importance of age-specific heterogeneities going beyond contact structure to the spread of COVID-19. These heterogeneities give COVID-19 the capacity to spread particularly quickly in countries with older populations, and that intensive control measures are likely to be necessary to impede its progress in these countries.
由病毒 SARS-CoV-2 引起的 2019-2020 年非典型肺炎(COVID-19)大流行已在全球范围内蔓延,有可能感染每个国家的大量人口。估计特定国家的基本繁殖率是公共卫生规划的重要第一步。基本繁殖率(R0)由病原体的性质和疾病可以传播的人际接触网络决定,而人际接触网络本身又取决于人口年龄结构和家庭组成。在这里,我们引入了一个结合了年龄分层接触频率与年龄相关易感性、临床症状出现概率以及无症状(或轻度)病例传播的传播模型,用于估计 COVID-19 在 152 个国家的特定国家基本繁殖率。利用中国早期疫情数据和综合接触矩阵,我们估计了一个年龄分层的传播结构,然后可以将其外推到 151 个其他存在综合接触矩阵的国家。这定义了一组特定国家的传播结构,从中我们可以计算每个国家的基本繁殖率。我们预测的 R0 对无症状病例的传播强度非常敏感;无症状传播强度较低时,东欧和日本的最高值预测最高,而非洲、中美洲和西南亚的最低值预测最高。这种模式主要由每个国家儿童与老年人的比例以及老年人临床病例的观察倾向驱动。如果无症状病例的传播与检测到的病例相当,则模式相反。我们的研究结果表明,年龄特异性异质性对 COVID-19 的传播具有重要意义,超出了接触结构。这些异质性使 COVID-19 有能力在人口老龄化的国家中迅速传播,需要采取强化控制措施来阻碍其在这些国家的进展。