Numerical Study on Zika Epidemic Early Warning Algorithms Driven by Dynamical Network Biomarker-Reference-Cited by-同舟云学术

Numerical Study on Zika Epidemic Early Warning Algorithms Driven by Dynamical Network Biomarker

Published:2019-04-03 Issue: Volume:2019 Page:1-5
ISSN:1026-0226
Container-title:Discrete Dynamics in Nature and Society
language:en
Short-container-title:Discrete Dynamics in Nature and Society

Author:

Zhan Qingyi¹^ORCID,Zhang Zhifang²^ORCID

Affiliation:

1. College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China

2. Department of Sciences and Education, Fujian Center for Disease Control and Prevention, Fuzhou, Fujian 350001, China

Abstract

This paper focuses on the numerical study and precise forecast of Zika epidemic. An early warning index algorithm of Zika epidemic is given, and the applications of this algorithm are investigated. We pay attention to the mathematical approaches to estimate the tendency of Zika epidemic in detail. A numerical experiment is provided to illustrate the effectiveness of the proposed method by the numerical calculation of early warning index of Brazil.

Funder

Science Research Projection of the Education Department of Fujian Province

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Link

http://downloads.hindawi.com/journals/ddns/2019/2092151.pdf

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