Management of infectious animal diseases: the Korean experience

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.

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Heptose-containing bacterial natural products: structures, bioactivities, and biosyntheses

Natural Product Reports ◽

10.1039/d0np00075b ◽

2021 ◽

Author(s):

Zhengyan Guo ◽

Yue Tang ◽

Wei Tang ◽

Yihua Chen

Keyword(s):

Natural Products ◽

Animal Diseases ◽

Human And Animal Diseases

Heptose-containing natural products hold great potential as drugs for the treatment of human and animal diseases.

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Culicoides insignis Lutz, 1913 (Diptera: Ceratopogonidae) Biting Midges in Northeast of Brazil

Insects ◽

10.3390/insects12040366 ◽

2021 ◽

Vol 12 (4) ◽

pp. 366

Author(s):

Raisa Rodrigues Santos Rios ◽

Maria Clara Alves Santarém ◽

Karlos Antônio Lisboa Ribeiro Júnior ◽

Breno Araujo de Melo ◽

Sybelle Georgia Mesquita da Silva ◽

...

Keyword(s):

Genetic Analysis ◽

Dna Sequencing ◽

Control Strategies ◽

Northeast Brazil ◽

Light Traps ◽

Biting Midges ◽

Animal Diseases ◽

Local Species ◽

Specific Species ◽

Human And Animal Diseases

The species of the Culicoides genus are hematophagous, and some of them are vectors of important human and animal diseases. This group of insects is distributed worldwide, varying according to local species. Knowledge of the geographic distribution of specific species is crucial for the development and implementation of control strategies. The aim of this work was to investigate the occurrence of Culicoides in the state of Alagoas in northeast Brazil. Midges were captured with CDC light traps, and their identification and morphological analyses were performed by the Ceratopogonidae Collection of the Oswaldo Cruz Foundation (FIOCRUZ/CCER) in Rio de Janeiro, Brazil. Morphological analyses were performed using the key to Culicoides from the guttatus group and comparison with other deposited specimens. DNA sequencing, genetic analysis and comparison with sequences in the Genbank database, confirmed the identification of the flies as Culicoides insignis. This was the first formal report of C. insignis being found in Alagoas.

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