Knowledge System Analysis on Emergency Management of Public Health Emergencies

Yang, Rui; Du, Guoming; Duan, Ziwei; Du, Mengjin; Miao, Xin; Tang, Yanhong

doi:10.3390/su12114410

Cited by 22 publications

(25 citation statements)

References 73 publications

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“…Five months after the official announcement, the virus has infected more than 6,193,548 people worldwide and killed around 372,479 people [ 3 ], bringing catastrophic consequences for society [ 4 ], completely collapsing health systems in different countries [ 5 ] and generating a strong economic recession worldwide [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems

Pedrosa

Sánchez-Núñez

Peláez

2020

IJERPH

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COVID-19 has changed our lives forever. The world we knew until now has been transformed and nowadays we live in a completely new scenario in a perpetual restructuring transition, in which the way we live, relate, and communicate with others has been altered permanently. Within this context, risk communication is playing a decisive role when informing, transmitting, and channeling the flow of information in society. COVID-19 has posed a real pandemic risk management challenge in terms of impact, preparedness, response, and mitigation by governments, health organizations, non-governmental organizations (NGOs), mass media, and stakeholders. In this study, we monitored the digital ecosystems during March and April 2020, and we obtained a sample of 106,261 communications through the analysis of APIs and Web Scraping techniques. This study examines how social media has affected risk communication in uncertain contexts and its impact on the emotions and sentiments derived from the semantic analysis in Spanish society during the COVID-19 pandemic.

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Section: Introductionmentioning

confidence: 99%

Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems

Pedrosa

Sánchez-Núñez

Peláez

2020

IJERPH

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“…The thickness of the connection line between two nodes represents the number of cooperative documents issued. The thicker the connecting line is, the more cooperative documents are issued, and the closer the cooperation relationship between the two departments is [ 35 , 41 ].…”

Section: Resultsmentioning

confidence: 99%

Towards Holistic Governance of China’s E-Waste Recycling: Evolution of Networked Policies

Xiu-li

Miao

et al. 2020

IJERPH

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Electronic products are being updated and replaced much faster and there is therefore an increasing growth in electronic waste (e-waste). In order to promote professional recycling of e-waste, the relevant government departments of China have published a series of policies. This paper aims to unearth the evolution tendency of the networked policies towards holistic governance of China’s e-waste recycling. Content analysis, quantitative text analysis and network analysis are applied to analyze relevant policy documents from 2001 to 2016. This paper illustrates evolution of policy themes, evolution of intergovernmental relationships, and evolution of policy relations. This study reveals policy intentions, maps policy progress, and unearths governance philosophy, providing an overall understanding of the policy ways by which the Chinese government has deployed its guiding strategies on professional recycling of e-waste. This paper illustrates how to approach holistic governance from perspective of networked policies, contributing to answering the central question of holistic governance about how to achieve it.

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“…We represent the current case as X 0 ¼ 2 1 1 4 7 1 625 1 6 f g. We use nine problem scenario features, including the rank risk of incident (RRI), transmission routes (TR), symptoms (SP), pathological characteristics (PC), average quarantine period (AQP), infection ratio (IR), number of infected (NI), fatality ratio (FR), and number of deaths (ND). [43][44][45][46][47] Every solution consists of a medical rescue team (MST), public health workers (PHW), psychological experts (PE), a supply of beds in infectious disease facilities (SB), and medical protection materials (MPM). According to the characteristics and history of infectious diseases in China, let m ¼ 18; n ¼ 9; s ¼ 5.…”

Section: Infectious Disease Outbreaks Applicationmentioning

confidence: 99%

Novel Case-Based Reasoning System for Public Health Emergencies

Duan¹,

Jiao²

2021

RMHP

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Purpose: Several threatening infectious diseases, including influenza, Ebola, SARS, and COVID-19, have affected human society over the past decades. These disease outbreaks naturally inspire a demand for sustained and advanced safety and suppression measures. To protect public health and safety, further research developments on emergency analysis methods and approaches for effective emergency treatment generation are urgently needed to mitigate the severity of the pandemic and save lives. Methods: To address these issues, a novel case-based reasoning (CBR) system is proposed using three phases. In the first phase, the similarity between the current case and the historical cases is calculated under a variety of heterogeneous information. In the second phase, a filter approach based on grey clustering analysis is created to retrieve relevant cases. In the third phase, the cases retrieved are taken as initial host nests in a cuckoo search (CS) algorithm, and our system searches an optimal solution through iteration of this algorithm. Results: The proposed model is compared with a CBR method improved by particle swarm optimization (PSO) and a CBR method improved by a differential evolution algorithm (DE), to confirm the efficiency of our CS algorithm in adapting solutions for public health emergencies. The results show that the proposed model is better than the existing algorithms. Conclusion: The proposed model improves the speed of case retrieval using grey clustering and increases solution accuracy with CS algorithms. The present research can contribute to government, CDC, and infectious disease emergency management fields with regard to the implementation of fast and accurate public biohazard prevention and control measures based on a variety of heterogeneous information.

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Knowledge System Analysis on Emergency Management of Public Health Emergencies

Cited by 22 publications

References 73 publications

Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems

Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems

Towards Holistic Governance of China’s E-Waste Recycling: Evolution of Networked Policies

Novel Case-Based Reasoning System for Public Health Emergencies

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