A novel blockchain-based surveillance and early-warning technology for infectious diseases

Liwei OUYANG; Yong YUAN; Xinhu ZHENG; Jun ZHANG; Fei-Yue WANG

doi:10.11959/j.issn.2096-6652.202015

您当前的位置：

首页 >

文章列表页 >

A novel blockchain-based surveillance and early-warning technology for infectious diseases

Regular Papers | 更新时间：2024-06-05

- A novel blockchain-based surveillance and early-warning technology for infectious diseases
- Chinese Journal of Intelligent Science and Technology Vol. 2, Issue 2, Pages: 135-143(2020)
- 作者机构：
  
  1. 中国科学院大学人工智能学院，北京 100049
  2. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3. 科罗拉多州立大学电子计算机工程学院，美国柯林斯堡 CO 80523
  4. 武汉大学电气与自动化学院，湖北武汉 430072
  5. 青岛智能产业技术研究院，山东青岛 266109
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61533019)
- DOI：10.11959/j.issn.2096-6652.202015
  CLC： TP311
- Published Online：2020-06，
  
  Published：20 June 2020
- 稿件说明：
移动端阅览
Liwei OUYANG, Yong YUAN, Xinhu ZHENG, et al. A novel blockchain-based surveillance and early-warning technology for infectious diseases[J]. Chinese journal of intelligent science and technology, 2020, 2(2): 135-143.
DOI：

Liwei OUYANG, Yong YUAN, Xinhu ZHENG, et al. A novel blockchain-based surveillance and early-warning technology for infectious diseases[J]. Chinese journal of intelligent science and technology, 2020, 2(2): 135-143. DOI： 10.11959/j.issn.2096-6652.202015.

摘要

利用传染病预警技术和系统来监测传染病异常暴发趋势并及时准确预警，是传染病早期防控的关键。现行传染病预警系统尚存在智能化程度不足、关键信息流通不畅和分布式协同决策困难等问题。基于区块链分布式计算架构，结合人工智能、大数据和智能合约等新兴信息技术，提出了一种传染病监测与预警技术及其实现框架。该技术可高效集中多方监测力量，灵活集成多种预警手段，在安全和保护隐私的前提下构建知识集成和智慧互联的分布式协同监测环境，并以智能合约作为公开公正的、软件定义的监测代理来实时融合决策、监测疫情和自动预警，从而兼顾预警准确性与及时性要求，避免孤证和决策偏差。

Abstract

The key of early prevention and control of infectious diseases is to use the early warning technology and system to monitor the abnormal occurrence and trend of infectious diseases.There are still some problems in the existing infectious diseases automated-alert and response systems

such as lack of intelligence

poor efficiency in exchange of key information

as well as difficulties in distributed decision-making.Based on the distributed blockchain architecture

a novel blockchain-based surveillance and early-warning technology for infectious diseases was proposed

leveraging emerging information technologies including artificial intelligence

big data and smart contract.The technology could aggregate monitoring forces from multiple parties efficiently

integrate various early warning technologies flexibly

and establish a distributed and collaborative monitoring environment for knowledge integration and intelligent interconnection with guaranteed security and privacy protection.In this framework

smart contract was served as a “software-defined agent” to fuse decisions

monitor the outbreak

and issue warnings in an automatic and real-time fashion

so as to meet the key requirements of accuracy and timeliness

and avoid the decision bias of single evidence.

关键词

Keywords

references

熊玮仪 , 冯子健 . 中国传染病监测的发展历程、现状与问题 [J ] . 中华流行病学杂志 , 2011 , 32 ( 10 ): 957 - 960 .

XIONG W Y , FENG Z J . Overview on communicable disease surveillance in China [J ] . Chinese Journal of Epidemiology , 2011 , 32 ( 10 ): 957 - 960 .

OUYANG L W , YUAN Y , WANG F Y . A blockchain-based framework for collaborative production in distributed and social manufacturing [C ] // 2019 IEEE International Conference on Service Operations and Logistics,and Informatics (SOLI) . Piscataway:IEEE Press , 2019 : 76 - 81 .

杨维中 , 兰亚佳 , 李中杰 . 传染病预警研究回顾与展望 [J ] . 中华预防医学杂志 , 2014 , 48 ( 4 ): 244 - 247 .

YANG W Z , LAN Y J , LI Z J . Review and prospect of research on early warning of infectious diseases [J ] . Chinese Journal of Preventive Medicine , 2014 , 48 ( 4 ): 244 - 247 .

SALATHE M . Digital pharmacovigilance and disease surveillance:combining traditional and big-data systems for better public health [J ] . Journal of Infectious Diseases , 2016 , 214 ( suppl_4 ): S399 - S403 .

曹志冬 , 曾大军 , 郑晓龙 , 等 . 北京市 SARS 流行的特征与时空传播规律 [J ] . 中国科学:地球科学 , 2010 , 40 ( 6 ): 776 - 788 .

CAO Z D , ZENG D J , ZHENG X L , et al . Spatio-temporal evolution of Beijing 2003 SARS epidemic [J ] . Scientia Sinica Terrae , 2010 , 40 ( 6 ): 776 - 788 .

GINSBERG J , MOHEBBI M H , PATEL R S , et al . Detecting influenza epidemics using search engine query data [J ] . Nature , 2009 , 457 ( 7232 ): 1012 - 1014 .

ODLUM M , YOON S . What can we learn about the Ebola outbreak from tweets? [J ] . American Journal of Infection Control , 2015 , 43 ( 6 ): 563 - 571 .

王化群 , 吴涛 . 区块链中的密码学技术 [J ] . 南京邮电大学学报(自然科学版) , 2017 , 37 ( 6 ): 61 - 67 .

WANG H Q , WU T . Cryptography on the blockchain [J ] . Journal of Nanjing University of Posts and Telecommunications(Natural Science) , 2017 , 37 ( 6 ): 61 - 67 .

袁勇 , 王飞跃 . 区块链技术发展现状与展望 [J ] . 自动化学报 , 2016 , 42 ( 4 ): 481 - 494 .

YUAN Y , WANG F Y . Blockchain：the state of the art and future trends [J ] . Acta Automatica Sinica , 2016 , 42 ( 4 ): 481 - 494 .

祝烈煌 , 董慧 , 沈蒙 . 区块链交易数据隐私保护机制 [J ] . 大数据 , 2018 , 4 ( 1 ): 46 - 56 .

ZHU L H , DONG H , SHEN M . Privacy protection mechanism for blockchain transaction data [J ] . Big Data Research , 2018 , 4 ( 1 ): 46 - 56 .

袁勇 , 倪晓春 , 曾帅 , 等 . 区块链共识算法的发展现状与展望 [J ] . 自动化学报 , 2018 , 44 ( 11 ): 2011 - 2022 .

YUAN Y , NI X C , ZENG S , et al . Blockchain consensus algorithms:the state of the art and future trends [J ] . Acta Automatica Sinica , 2018 , 44 ( 11 ): 2011 - 2022 .

钱卫宁 , 金澈清 , 邵奇峰 , 等 . 区块链与分享型数据库 [J ] . 大数据 , 2018 , 4 ( 1 ): 36 - 45 .

QIAN W N , JIN C Q , SHAO Q F , et al . Blockchain and sharing database [J ] . Big Data Research , 2018 , 4 ( 1 ): 36 - 45 .

欧阳丽炜 , 王帅 , 袁勇 , 等 . 智能合约:架构及进展 [J ] . 自动化学报 , 2019 , 45 ( 3 ): 445 - 457 .

OUYANG L W , WANG S , YUAN Y , et al . Smart contracts:architecture and research progresses [J ] . Acta Automatica Sinica , 2019 , 45 ( 3 ): 445 - 457 .

丁文文 , 王帅 , 李娟娟 , 等 . 去中心化自治组织:发展现状、分析框架与未来趋势 [J ] . 智能科学与技术学报 , 2019 , 1 ( 2 ): 202 - 213 .

DING W W , WANG S , LI J J , et al . Decentralized autonomous organizations:the state of the art,analysis framework and future trends [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 2 ): 202 - 213 .

张超 , 李强 , 陈子豪 , 等 . Medical Chain:联盟式医疗区块链系统 [J ] . 自动化学报 , 2019 , 45 ( 8 ): 1495 - 1510 .

ZHANG C , LI Q , CHEN Z H , et al . Medical Chain:alliance medical blockchain system [J ] . Acta Automatica Sinica , 2019 , 45 ( 8 ): 1495 - 1510 .

HASSELGREN A , KRALEVSKA K , GLIGOROSKI D , et al . Blockchain in healthcare and health sciences,a scoping review [J ] . International Journal of Medical Informatics , 2019 , 134 :104040.

KUMAR R , TRIPATHI R . Traceability of counterfeit medicine supply chain through blockchain [C ] // Proceedings of the 11th International Conference on Communication Systems ＆ Networks.[S.l.:s.n] . 2019 : 568 - 570 .

LI T , SAHU A K , TALWALKAR A , et al . Federated learning:challenges,methods,and future directions [J ] . arXiv:1908.07873 , 2019

KIM H , PARK J , BENNIS M , et al . Blockchained on-device federated learning [J ] . IEEE Communications Letters , 2019 : 1 - 4 .

王飞跃 , 张军 , 张俊 , 等 . 工业智联网:基本概念、关键技术与核心应用 [J ] . 自动化学报 , 2018 , 44 ( 9 ): 1606 - 1617 .

WANG F Y , ZHANG J , ZHANG J , et al . Industrial internet of minds:concept,technology and application [J ] . Acta Automatica Sinica , 2018 , 44 ( 9 ): 1606 - 1617 .

张俊 , 李灵犀 , 林懿伦 , 等 . 虚实系统互驱的混合增强智能开放创新平台的架构与方案 [J ] . 智能科学与技术学报 , 2019 , 1 ( 4 ): 379 - 391 .

ZHANG J , LI L X , LIN Y L , et al . The architecture and scheme of the hybrid-augmented intelligence open innovation platform based on the virtual and real systems [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 4 ): 379 - 391 .

Views

269

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Crypto management: a novel organizational management model based on blockchain

Digital chefs and intelligent cooking systems based on multimodal large language model

New AI for new frontier of intelligent science and technology: from PAPAI++ to new enterprise ecology

K21 education and intelligent sciences: future schools and teachers/students in future society

Federated services: smart service paradigm based on distributed data co-governance

Related Author

Juanjuan LI

Ge WANG

Xiao WANG

Junqing LI

Yong YUAN

Fei-Yue WANG

LI Xinyuan

LI Bai

Related Institution

School of Automation, Beijing Institute of Technology

Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau

College of Computer Science and Engineering, Shandong University of Science and Technology

School of Mathematics, Renmin University of China

College of Mechanical and Vehicle Engineering, Hunan University

Postal code：100079
Tel：（010）53879206 Email：cjist@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：35685 Visits Today：160

⁰