Research on an Infectious Disease Transmission by Flocking Birds

Author:

Tang Mingsheng12ORCID,Mao Xinjun1,Guessoum Zahia2

Affiliation:

1. College of Computer, National University of Defense Technology, Changsha 410073, China

2. LIP 6, Université Pierre et Marie Curie, 75006 Paris, France

Abstract

The swarm intelligence is becoming a hot topic. The flocking of birds is a natural phenomenon, which is formed and organized without central or external controls for some benefits (e.g., reduction of energy consummation). However, the flocking also has some negative effects on the human, as the infectious disease H7N9 will easily be transmited from the denser flocking birds to the human. Zombie-city model has been proposed to help analyzing and modeling the flocking birds and the artificial society. This paper focuses on the H7N9 virus transmission in the flocking birds and from the flocking birds to the human. And some interesting results have been shown: (1) only some simple rules could result in an emergence such as the flocking; (2) the minimum distance between birds could affect H7N9 virus transmission in the flocking birds and even affect the virus transmissions from the flocking birds to the human.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GLANS: GIS Based Large-Scale Autonomous Navigation System;Lecture Notes in Computer Science;2018

2. Distributed control for flocking and group maneuvering of nonholonomic agents;Computer Animation and Virtual Worlds;2017-05

3. A Case Study on the Performance of Gazebo with Multi-core CPUs;Intelligent Robotics and Applications;2017

4. GSDF: A Generic Development Framework for Swarm Robotics;Intelligent Robotics and Applications;2017

5. Deep Q-Learning to Preserve Connectivity in Multi-robot Systems;Proceedings of the 9th International Conference on Signal Processing Systems - ICSPS 2017;2017

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