An early warning indicator for monitoring infectious animal diseases and its application in the case of a sheep pox epidemic

Malesios, Chrisovalantis; Kostoulas, Polychronis; Dadousis, K.; Demiris, Nikolaos

doi:10.1007/s00477-016-1316-5

Cited by 3 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through literature review and existing data sorting (Bridges et al , 2007; Malesios et al , 2016; Tjon-Kon-Fat et al , 2016; Li et al , 2017; Beauvais et al , 2019; Bai et al , 2020; Kandel et al , 2020; Parajuli et al , 2020; Andrianou et al , 2021; Jian et al , 2021), 31 specific related factors were firstly obtained. Based on the determination of the principle of setting up alternative factors and the relationship between the factors and the occurrence and development of infectious diseases, the expert group discussion and expert meeting selected 25 items as possible assessment factors from 31 factors, each of which has a clear meaning.…”

Section: Case Analysismentioning

confidence: 99%

A large group hesitant fuzzy linguistic DEMATEL approach for identifying critical success factors in public health emergencies

Zheng

Peng²,

Zhao³

et al. 2022

AJIM

View full text Add to dashboard Cite

PurposeHow to identify the critical success factors (CSFs) of public health emergencies (PHEs) is of great practical significance to carry out a scientific and effective risk assessment. The purpose of this paper is to address this issue.Design/methodology/approachIn this paper, the authors propose a new approach to identify the CSFs by hesitant fuzzy linguistic set and a Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. First, a larger group of experts are clustered into three groups according to similarity degree. Then, the weight of each cluster is determined by the maximum consensus method, and the overall direct influence matrix is obtained by clustering with hesitant fuzzy linguistic weighted geometric (HFLWG) operators. Finally, the overall direct influence matrix is transformed into the crisp direct impact matrix by the score function, and 11 CSFs of PHEs are identified by using the extended DEMATEL method.FindingsIn addition, an example of PHEs shows that the approach has good identification applicability. The approach can be used to solve the problems of fuzziness and subjectivity in linguistic assessments, and it can be applied to identify the customer service framework with the linguistic assessments process in emergency management.Originality/valueThis paper extends the above DEMATEL method to study in the hesitant fuzzy linguistic context. This proposed hybrid approach has a wider application in the high-risk area where disasters frequently occur.

show abstract

Section: Case Analysismentioning

confidence: 99%

A large group hesitant fuzzy linguistic DEMATEL approach for identifying critical success factors in public health emergencies

Zheng

Peng²,

Zhao³

et al. 2022

AJIM

View full text Add to dashboard Cite

show abstract

“…The virus is generally resistant to drying, survives freezing and thawing and remains viable for months [585]. Seasonality and environmental conditions affect spread with higher occurrence in warm and cold moist months [591,592]. The spread of disease into new areas is often associated with illegal animal movement and inadequate veterinary services [593].…”

Section: Sheeppox and Goatpoxmentioning

confidence: 99%

“…Mathematical and spatial models have been developed to better understand outbreaks, transmission and potential impact of control methods [591,611,[614][615][616]. Immunogenicity and vaccination studies have been performed using both in vitro cell culture and in vivo models [585,[617][618][619][620][621].…”

Section: Sheeppox and Goatpoxmentioning

confidence: 99%

Transboundary Animal Diseases, an Overview of 17 Diseases with Potential for Global Spread and Serious Consequences

Clemmons

Alfson

Dutton

2021

Animals

View full text Add to dashboard Cite

Animals provide food and other critical resources to most of the global population. As such, diseases of animals can cause dire consequences, especially disease with high rates of morbidity or mortality. Transboundary animal diseases (TADs) are highly contagious or transmissible, epidemic diseases, with the potential to spread rapidly across the globe and the potential to cause substantial socioeconomic and public health consequences. Transboundary animal diseases can threaten the global food supply, reduce the availability of non-food animal products, or cause the loss of human productivity or life. Further, TADs result in socioeconomic consequences from costs of control or preventative measures, and from trade restrictions. A greater understanding of the transmission, spread, and pathogenesis of these diseases is required. Further work is also needed to improve the efficacy and cost of both diagnostics and vaccines. This review aims to give a broad overview of 17 TADs, providing researchers and veterinarians with a current, succinct resource of salient details regarding these significant diseases. For each disease, we provide a synopsis of the disease and its status, species and geographic areas affected, a summary of in vitro or in vivo research models, and when available, information regarding prevention or treatment.

show abstract

“…Malesios et al (2016) provide an early warning method of sheep pox epidemic applied in data from Evros region, Greece. To provide inference on the mechanisms governing the progress of sheep pox epidemic (Malesios et al 2016) follow a two-stage procedure. At the first stage, a stochastic regression model is fitted to the complete epidemic data.…”

Section: The Importance Of Pubic Datamentioning

confidence: 99%

Spatio-temporal data mining in ecological and veterinary epidemiology

Moustakas

2017

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

Understanding the spread of any disease is a highly complex and interdisciplinary exercise as biological, social, geographic, economic, and medical factors may shape the way a disease moves through a population and options for its eventual control or eradication. Disease spread poses a serious threat in animal and plant health and has implications for ecosystem functioning and species extinctions as well as implications in society through food security and potential disease spread in humans. Spacetime epidemiology is based on the concept that various characteristics of the pathogenic agents and the environment interact in order to alter the probability of disease occurrence and form temporal or spatial patterns. Epidemiology aims to identify these patterns and factors, to assess the relevant uncertainty sources, and to describe disease in the population. Thus disease spread at the population level differs from the approach traditionally taken by veterinary practitioners that are principally concerned with the health status of the individual. Patterns of disease occurrence provide insights into which factors may be affecting the health of the population, through investigating which individuals are affected, where are these individuals located and when did they become infected. With the rapid development of smart sensors, social networks, as well as digital maps and remotely-sensed imagery spatio-temporal data are more ubiquitous and richer than ever before. The availability of such large datasets (big data) poses great challenges in data analysis. In addition, increased availability of computing power facilitates the use of computationally-intensive methods for the analysis of such data. Thus new methods as well as case studies are needed to understand veterinary and ecological epidemiology. A special issue aimed to address this topic.

show abstract

An early warning indicator for monitoring infectious animal diseases and its application in the case of a sheep pox epidemic

Cited by 3 publications

References 21 publications

A large group hesitant fuzzy linguistic DEMATEL approach for identifying critical success factors in public health emergencies

A large group hesitant fuzzy linguistic DEMATEL approach for identifying critical success factors in public health emergencies

Transboundary Animal Diseases, an Overview of 17 Diseases with Potential for Global Spread and Serious Consequences

Spatio-temporal data mining in ecological and veterinary epidemiology

Contact Info

Product

Resources

About