Marziano Valentina, Bella Antonino, Menegale Francesco, Del Manso Martina, Petrone Daniele, Palamara Anna Teresa, Pezzotti Patrizio, Merler Stefano, Filia Antonietta, Poletti Piero
Center for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.
Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Lancet Infect Dis. 2025 Jul 31. doi: 10.1016/S1473-3099(25)00293-2.
Identifying measles transmission patterns and the most susceptible populations is crucial for anticipating and preventing outbreaks. The aim of this study was to assess the current epidemiology of measles in Italy to provide key metrics to anticipate and prevent future transmission risks.
In this epidemiological assessment study, we analysed measles epidemiological data from the National Integrated Measles and Rubella Surveillance System coordinated by the Department of Infectious Diseases of the Istituto Superiore di Sanità in Italy from Jan 1, 2013, to Dec 31, 2022. We analysed individual case records to assess the proportion of transmission that occurred in different settings; we also used pairs of measles cases to estimate the generation time and the proportion of transmission episodes between population groups defined by age and vaccination status. All suspected cases meeting the measles case definition were included in our analysis. Data, complemented with 2023 and 2024 incidence records, were used in a catalytic model to estimate the age-specific proportion of individuals susceptible to measles and the effective reproduction number (R) in Italy in 2025 at the national level and for each Italian region.
During the study period, 14 946 measles cases (7426 females and 7520 males) were reported to the National Integrated Measles and Rubella Surveillance System. The mean generation time estimated from 795 measles infection episodes was 11·7 days (95% credible interval 11·3-12·0). 707 (88·9% [bootstrap 95% CI 86·8-91·1]) of 795 infection episodes originated in unvaccinated individuals, 265 (33·3% [30·1-36·7]) of 795 infection episodes involved individuals aged 20-39 years, and only 12 (8·5% [4·3-13·5]) of 141 transmission episodes with available information on setting were linked to school contacts. We estimated that, in 2025, 9·2% (95% prediction interval 8·9-9·3) of the Italian population remains susceptible to measles, including 11·8% (11·8-11·8) of individuals younger than 20 years. Despite marked geographical heterogeneities, immunity gaps among individuals aged 20-40 years (ie, those born in the 1980s and 1990s) were consistently observed across all regions. The average R estimated for 2025 ranged from 1·31 to 1·78 across regions, consistent with reproduction numbers associated with national epidemics and local outbreaks between 2013 and 2019. Higher R values were found in regions with a large fraction of susceptible adults (eg, Emilia-Romagna 1·78 [1·34-2·27]) or more than 15% susceptible individuals younger than 20 years (eg, South Tyrol 1·53 [1·11-2·02]).
Unvaccinated adults contribute substantially to measles transmission in Italy. Heterogeneous immunity gaps exist across regions, with some regions showing persistently low vaccine uptake in children and other regions showing a high proportion of susceptible adults. These results emphasise the need for tailored vaccination strategies, including catch-up campaigns for adults. By integrating routine surveillance data with modelling techniques, this study presents a resource-efficient approach to quantifying immunity and transmission risks, providing a scalable framework for countries aiming to refine their immunisation policies.
NextGenerationEU-MUR PNRR Extended Partnership Initiative on Emerging Infectious Diseases.
For the Italian translation of the abstract see Supplementary Materials section.
识别麻疹传播模式和最易感人群对于预测和预防疫情爆发至关重要。本研究的目的是评估意大利当前的麻疹流行病学情况,以提供关键指标来预测和预防未来的传播风险。
在这项流行病学评估研究中,我们分析了意大利高等卫生研究院传染病系协调的国家麻疹和风疹综合监测系统在2013年1月1日至2022年12月31日期间的麻疹流行病学数据。我们分析了个体病例记录,以评估在不同环境中发生的传播比例;我们还使用麻疹病例对来估计代时以及按年龄和疫苗接种状况定义的人群组之间传播事件的比例。所有符合麻疹病例定义的疑似病例均纳入我们的分析。补充了2023年和2024年发病率记录的数据被用于催化模型,以估计意大利全国及各地区2025年对麻疹易感个体的年龄特异性比例和有效再生数(R)。
在研究期间,国家麻疹和风疹综合监测系统报告了14946例麻疹病例(7426例女性和7520例男性)。从795次麻疹感染事件估计的平均代时为11.7天(95%可信区间11.3 - 12.0)。795次感染事件中的707次(88.9%[自助法95%可信区间86.8 - 91.1])起源于未接种疫苗的个体,795次感染事件中的265次(33.3%[30.1 - 36.7])涉及20 - 39岁的个体,在141次有环境信息的传播事件中,只有12次(8.5%[4.3 - 13.5])与学校接触有关。我们估计,在2025年,意大利9.2%(95%预测区间8.9 - 9.3)的人口仍易感染麻疹,包括20岁以下个体中的11.8%(11.8 - 11.8)。尽管存在明显的地理异质性,但在所有地区均持续观察到20 - 40岁个体(即20世纪80年代和90年代出生的人)之间的免疫差距。各地区2025年估计的平均R值在1.31至1.78之间,与2013年至2019年期间全国疫情和局部爆发相关的再生数一致。在易感成年人比例较大的地区(如艾米利亚 - 罗马涅1.78[1.34 - 2.27])或20岁以下易感个体超过15%的地区(如南蒂罗尔1.53[1.11 - 2.02])发现较高的R值。
未接种疫苗的成年人在意大利麻疹传播中起了很大作用。各地区存在异质性免疫差距,一些地区儿童疫苗接种率持续较低,而其他地区易感成年人比例较高。这些结果强调了制定针对性疫苗接种策略的必要性,包括针对成年人的补种活动。通过将常规监测数据与建模技术相结合,本研究提出了一种资源高效的方法来量化免疫和传播风险,为旨在完善其免疫政策的国家提供了一个可扩展的框架。
下一代欧盟 - MUR PNRR新兴传染病扩展伙伴关系倡议。
摘要的意大利语翻译见补充材料部分。