Tuberculosis: A Transboundary Animal Disease in Sahel Africa and Its Connected Regions

2019 ◽  
pp. 409-422
Author(s):  
Lilian Akudo Okeke
Keyword(s):  
Animal Disease

Animal Disease and Human Trauma

2008 ◽  
Author(s):  
Ian Convery ◽  
Maggie Mort ◽  
Josephine Baxter ◽  
Cathy Bailey
Keyword(s):  
Animal Disease

Application of Machine Learning in Animal Disease Analysis and Prediction

2020 ◽  
Vol 15 ◽  
Author(s):  
Shuwen Zhang ◽  
Qiang Su ◽  
Qin Chen
Keyword(s):  
Machine Learning ◽  
Unsupervised Learning ◽  
Supervised Learning ◽  
Clustering Algorithm ◽  
Principal Component ◽  
Support Vector ◽  
Animal Disease ◽  
Human Beings ◽  
Animal Diseases ◽  
Disease Analysis

Abstract: Major animal diseases pose a great threat to animal husbandry and human beings. With the deepening of globalization and the abundance of data resources, the prediction and analysis of animal diseases by using big data are becoming more and more important. The focus of machine learning is to make computers learn how to learn from data and use the learned experience to analyze and predict. Firstly, this paper introduces the animal epidemic situation and machine learning. Then it briefly introduces the application of machine learning in animal disease analysis and prediction. Machine learning is mainly divided into supervised learning and unsupervised learning. Supervised learning includes support vector machines, naive bayes, decision trees, random forests, logistic regression, artificial neural networks, deep learning, and AdaBoost. Unsupervised learning has maximum expectation algorithm, principal component analysis hierarchical clustering algorithm and maxent. Through the discussion of this paper, people have a clearer concept of machine learning and understand its application prospect in animal diseases.

Preventing animal disease

BMJ ◽  
1976 ◽  
Vol 1 (6008) ◽  
pp. 521-522
Author(s):  
J R Wilkie
Keyword(s):  
Animal Disease

scholarly journals Validation of TaqMan-Based Assays for Specific Detection and Differentiation of Wild-Type and Neethling Vaccine Strains of LSDV

2021 ◽  
Vol 9 (6) ◽  
pp. 1234
Author(s):  
Dejan Vidanović ◽  
Bojana Tešović ◽  
Milanko Šekler ◽  
Zoran Debeljak ◽  
Nikola Vasković ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
High Sensitivity ◽  
Animal Disease ◽  
Wild Type ◽  
Notifiable Disease ◽  
Specific Detection ◽  
Lumpy Skin Disease ◽  
Systemic Reactions ◽  
Vaccination Campaigns ◽  
Significant Health

Lumpy skin disease (LSD) is an important animal disease with significant health and economic impacts. It is considered a notifiable disease by the OIE. Attenuated strains of LSDV have been successfully used as vaccines (LAV) but can also produce mild or systemic reactions. Vaccination campaigns using LAVs are therefore only viable if accompanying DIVA assays are available. Two DIVA qPCR assays able to distinguish Neethling-based LAVs and wild-type LSDV were developed. Upon validation, both assays were shown to have high sensitivity and specificity with a diagnostic performance comparable to other published DIVA assays. This confirmed their potential as reliable tools to confirm infection in animals during vaccination campaigns based on Neethling vaccine strains.

scholarly journals Sialic Acids as Receptors for Pathogens

Biomolecules ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 831
Author(s):  
Patrycja Burzyńska ◽  
Łukasz F. Sobala ◽  
Krzysztof Mikołajczyk ◽  
Marlena Jodłowska ◽  
Ewa Jaśkiewicz
Keyword(s):  
Malaria Parasite ◽  
Sialic Acids ◽  
Influenza Viruses ◽  
Disease Vectors ◽  
Animal Disease ◽  
Parasite Plasmodium ◽  
Parasite Plasmodium Falciparum ◽  
Infection Biology ◽  
Species Specific

Carbohydrates have long been known to mediate intracellular interactions, whether within one organism or between different organisms. Sialic acids (Sias) are carbohydrates that usually occupy the terminal positions in longer carbohydrate chains, which makes them common recognition targets mediating these interactions. In this review, we summarize the knowledge about animal disease-causing agents such as viruses, bacteria and protozoa (including the malaria parasite Plasmodium falciparum) in which Sias play a role in infection biology. While Sias may promote binding of, e.g., influenza viruses and SV40, they act as decoys for betacoronaviruses. The presence of two common forms of Sias, Neu5Ac and Neu5Gc, is species-specific, and in humans, the enzyme converting Neu5Ac to Neu5Gc (CMAH, CMP-Neu5Ac hydroxylase) is lost, most likely due to adaptation to pathogen regimes; we discuss the research about the influence of malaria on this trait. In addition, we present data suggesting the CMAH gene was probably present in the ancestor of animals, shedding light on its glycobiology. We predict that a better understanding of the role of Sias in disease vectors would lead to more effective clinical interventions.

scholarly journals 107 Traceability

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 61-62
Author(s):  
John Butler
Keyword(s):  
United States ◽  
The United States ◽  
Current Approach ◽  
Animal Disease ◽  
Global Marketplace ◽  
Cattle Industry ◽  
New Approach ◽  
Traceability System ◽  
Competitive Disadvantage ◽  
Final Rule

Abstract Animal disease traceability—or knowing where diseased and at-risk animals are, where they’ve been, and when—is important to ensuring a rapid response when animal disease events take place. Although animal disease traceability does not prevent disease, an efficient and accurate traceability system reduces the number of animals and response time involved in a disease investigation; which, in turn, reduces the economic impact on owners and affected communities. The current approach to traceability in the United States is the result of significant discussion and compromise. Federal policy regarding traceability has been amended several times over the past decade based on stakeholder feedback, particularly from the cattle industry. In early 2010, USDA announced a new approach for responding to and controlling animal diseases, referred to as the ADT framework. USDA published a proposed rule, “Traceability for Livestock Moving Interstate,” on August 11, 2011, and the final rule on January 9, 2013. Under the final rule, unless specifically exempted, livestock moved interstate must be officially identified and accompanied by an interstate certificate of veterinary inspection (ICVI) or other documentation. However, these requirements do not apply to all cattle. Beef cattle under 18 months of age, unless they are moved interstate for shows, exhibitions, rodeos, or recreational events, are exempt from the official identification requirement in this rule. We can do better. Our industry must recognize how vulnerable we really are, should we be subject to a disease such as foot and mouth. We must also understand what a competitive disadvantage the United States faces in the global marketplace without a recognized, industry-wide traceability system.

scholarly journals Anything left for animal disease insurance? A choice experiment approach

2016 ◽  
Vol 97 (4) ◽  
pp. 237-249
Author(s):  
Jaakko Heikkilä ◽  
Jarkko K. Niemi ◽  
Katriina Heinola ◽  
Eero Liski ◽  
Sami Myyrä
Keyword(s):  
Choice Experiment ◽  
Animal Disease

Animal Disease and Human Health

1960 ◽  
Vol 240 (4) ◽  
pp. 536
Author(s):  
&NA; R K
Keyword(s):  
Human Health ◽  
Animal Disease
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