Purpose

The SARS-CoV-2 pandemic has caused a major impact on worldwide public health and economics. The lessons learned from the successful attempts to contain the pandemic escalation revealed that the wise usage of contact tracing and information systems can widely help the containment work of any contagious disease. In this context, this paper investigates other researches on this domain, as well as the main issues related to the practical implementation of such systems and specifies a technical solution.

Design/methodology/approach

The proposed solution is based on the automatic identification of relevant contacts between infected or suspected people with susceptible people; inference of contamination risk based on symptoms history, user navigation records and contact information; real-time georeferenced information of population density of infected or suspect people; and automatic individual social distancing recommendation calculated through the individual contamination risk and the worsening of clinical condition risk.

Findings

The solution was specified, prototyped and evaluated by potential users and health authorities. The proposed solution has the potential of becoming a reference on how to coordinate the efforts of health authorities and the population on epidemic control.

Originality/value

This paper proposed an original information system for epidemic control which was applied for the SARS-CoV-2 pandemic and could be easily extended to other epidemics.

中文翻译：

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流行病控制信息系统：解决成功经验和主要挑战的计算解决方案

目的

SARS-CoV-2 大流行对全球公共卫生和经济造成了重大影响。从遏制大流行升级的成功尝试中吸取的教训表明，明智地使用接触者追踪和信息系统可以广泛地帮助任何传染病的遏制工作。在此背景下，本文调查了该领域的其他研究，以及与此类系统的实际实施相关的主要问题，并指定了技术解决方案。

设计/方法/方法

建议的解决方案是基于自动识别感染者或疑似者与易感者之间的相关接触者；根据症状历史、用户导航记录和联系信息推断污染风险；感染者或可疑者人口密度的实时地理参考信息；通过个人污染风险和临床状况风险的恶化计算自动个人社交距离建议。

发现

该解决方案由潜在用户和卫生当局指定、设计原型和评估。拟议的解决方案有可能成为如何协调卫生当局和民众在流行病控制方面的努力的参考。

原创性/价值

本文提出了一种原始的流行病控制信息系统，该系统适用于 SARS-CoV-2 大流行，并且可以很容易地扩展到其他流行病。