Epiconcept, Paris, France.
School of Medicine, University of Galway, Galway, Ireland.
Front Public Health. 2024 Mar 20;12:1295117. doi: 10.3389/fpubh.2024.1295117. eCollection 2024.
PANDEM-Source (PS) is a tool to collect and integrate openly available public health-related data from heterogeneous data sources to support the surveillance of infectious diseases for pandemic management. The tool may also be used for pandemic preparedness by generating surveillance data for training purposes. It was developed as part of the EU-funded Horizon 2020 PANDEM-2 project during the COVID-19 pandemic as a result of close collaboration in a consortium of 19 partners, including six European public health agencies, one hospital, and three first responder organizations. This manuscript describes PS's features and design to disseminate its characteristics and capabilities to strengthen pandemic preparedness and response.
A requirement-gathering process with EU pandemic managers in the consortium was performed to identify and prioritize a list of variables and indicators useful for surveillance and pandemic management. Using the COVID-19 pandemic as a use case, we developed PS with the purpose of feeding all necessary data to be displayed in the PANDEM-2 dashboard.
PS routinely monitors, collects, and standardizes data from open or restricted heterogeneous data sources (users can upload their own data). It supports indicators and health resources related data from traditional data sources reported by national and international agencies, and indicators from non-traditional data sources such as those captured in social and mass media, participatory surveillance, and seroprevalence studies. The tool can also calculate indicators and be used to produce data for training purposes by generating synthetic data from a minimal set of indicators to simulate pandemic scenarios. PS is currently set up for COVID-19 surveillance at the European level but can be adapted to other diseases or threats and regions.
With the lessons learnt during the COVID-19 pandemic, it is important to keep building capacity to monitor potential threats and develop tools that can facilitate training in all the necessary aspects to manage future pandemics. PS is open source and its design provides flexibility to collect heterogeneous data from open data sources or to upload end users's own data and customize surveillance indicators. PS is easily adaptable to future threats or different training scenarios. All these features make PS a unique and valuable tool for pandemic management.
PANDEM-Source（PS）是一个工具，用于从异构数据源中收集和整合公开的公共卫生相关数据，以支持传染病监测，用于大流行管理。该工具还可通过生成用于培训目的的监测数据，用于大流行准备。它是作为欧盟资助的 Horizon 2020 PANDEM-2 项目的一部分开发的，该项目是在由 19 个合作伙伴组成的联盟中密切合作的结果，其中包括六个欧洲公共卫生机构、一家医院和三个第一响应者组织。本文档介绍了 PS 的功能和设计，以传播其特点和能力，加强大流行准备和应对。
在联盟中的欧盟大流行管理人员中进行了需求收集过程，以确定和优先考虑一组有用的变量和指标，用于监测和大流行管理。我们使用 COVID-19 大流行作为用例，开发了 PS，目的是将所有必要的数据输入到 PANDEM-2 仪表板中。
PS 定期从开放或受限的异构数据源（用户可以上传自己的数据）监测、收集和标准化数据。它支持来自国家和国际机构报告的传统数据源以及非传统数据源（如社会和大众媒体、参与式监测和血清流行率研究中捕获的数据）中的健康资源相关数据。该工具还可以计算指标，并通过从最小的指标集生成合成数据来模拟大流行场景，为培训目的生成数据。PS 目前已在欧洲层面为 COVID-19 监测设置，但可以适应其他疾病或威胁和地区。
从 COVID-19 大流行中吸取的经验教训，重要的是要继续建立监测潜在威胁的能力，并开发可以促进管理未来大流行的所有必要方面的工具。PS 是开源的，其设计提供了从开放数据源收集异构数据的灵活性，或者上传最终用户自己的数据并定制监测指标。PS 很容易适应未来的威胁或不同的培训场景。所有这些功能使 PS 成为大流行管理的独特而有价值的工具。
