Monkeypox: EpiMPX Surveillance System and Open Data with a Special Focus on European and Italian Epidemic

IF 1.6 Q4 INFECTIOUS DISEASES
Francesco Branda , Massimo Pierini , Sandra Mazzoli
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引用次数: 4

Abstract

Background

The current out-of-Africa 2022 outbreak of Monkeypox requires a coordinated, international response through the rapid sharing of data and research results, as we have seen with COVID-19 and the previous Ebola and Zika outbreaks, which demonstrated how important real-world data are to inform public health, to create surveillance systems, to determine policy decisions and to improve clinical trials.

Objectives

To support global response efforts by providing public access to real-time Monkeypox-related data for effective use of open data that could accelerate scientific knowledge and discoveries in terms of understanding, preventing, and treating the disease. In practice, to create a new surveillance system easy to consult and utilize.

Study design

This work aims to build a surveillance system, namely EpiMPX, that allows researchers and policymakers to monitor the impact of Monkeypox in Europe, with a special focus on the epidemic trends in the Italian regions, based on an open-access database containing information on the laboratory confirmed Monkeypox cases reported by EU/EEA countries and updated once a week. In addition, users will be provided open-access R codes to estimate key epidemiological parameters such as the reproduction number (updating the Serial Interval distribution when new estimates will be published) and produce real-time results on their devices.

Results

EpiMPX monitors the space-time distribution of cases and their characteristics, such as age, gender, symptoms, clinical status, and sexual orientation, when available. Even if it is currently too early for reliable calculation of epidemiological parameters, we estimated reproduction number Rt in European countries with more than 28 days of observed incidence, assuming that the Serial Interval (SI) early estimate in Italy is valid for other countries too. This provides a direct visual assessment of the geographic distribution of risk areas as well as insights into the evolution of the outbreak over time. Italian data were evaluated concerning gender, region prevalence and cumulative data.

Conclusions

The proposed EpiMPX surveillance system provides an overview of the European and Italian Monkeypox epidemiological situation with an open-access database to support epidemiological understanding of the origins and transmission dynamics of the disease with informative graphical outputs. These data confirmed the prevalent expression of Monkeypox within males, both in Europe and Italy. European MSM patients were affected by Monkeypox in a high percentage, confirming close sexual contact and possible sexual transmission. For the first time, Italian data on the regional distribution of cases and gender distribution were graphically evaluated. The data and research results are freely available and can be easily enriched to provide a prompt response to the scientific community and accelerate global efforts to contain the Monkeypox virus.

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猴痘:EpiMPX监测系统和开放数据,特别关注欧洲和意大利流行病
当前的2022年非洲外猴痘疫情需要通过快速共享数据和研究成果,采取协调一致的国际应对措施,正如我们在2019冠状病毒病以及之前的埃博拉和寨卡病毒疫情中所看到的那样,这表明现实世界的数据对于告知公共卫生、建立监测系统、确定政策决策和改进临床试验是多么重要。目的:通过向公众提供实时猴痘相关数据,支持全球应对工作,从而有效利用开放数据,加速在理解、预防和治疗猴痘方面的科学知识和发现。在实际应用中,创建一个便于查询和使用的新型监控系统。这项工作旨在建立一个监测系统,即EpiMPX,使研究人员和政策制定者能够监测猴痘在欧洲的影响,特别关注意大利地区的流行趋势,该系统基于一个开放获取的数据库,该数据库包含欧盟/欧洲经济区国家报告的实验室确诊猴痘病例信息,并每周更新一次。此外,将向用户提供开放获取的R代码,用于估计繁殖数等关键流行病学参数(在发布新的估计数时更新序列间隔分布),并在其设备上产生实时结果。结果sepimpx监测病例的时空分布及其特征,如年龄、性别、症状、临床状况、性取向等。即使目前对流行病学参数的可靠计算还为时过早,假设意大利的序列间隔(SI)早期估计值对其他国家也有效,我们估计了观察到发病率超过28天的欧洲国家的繁殖数Rt。这提供了对风险地区地理分布的直接直观评估,以及对疫情随时间演变的深入了解。对意大利的数据进行了性别、地区患病率和累积数据的评估。EpiMPX监测系统通过开放获取的数据库提供了欧洲和意大利猴痘流行病学概况,支持对该疾病起源和传播动态的流行病学理解,并提供信息丰富的图形输出。这些数据证实了猴痘在欧洲和意大利男性中的普遍表达。欧洲男男性接触者感染猴痘的比例很高,证实了密切性接触和可能的性传播。首次对意大利关于病例区域分布和性别分布的数据进行了图形化评价。这些数据和研究成果可以免费获得,并且可以很容易地加以充实,以便向科学界迅速作出反应,并加快全球遏制猴痘病毒的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of clinical virology plus
Journal of clinical virology plus Infectious Diseases
CiteScore
2.20
自引率
0.00%
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0
审稿时长
66 days
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