Results 31 to 40 of about 44,700 (260)

Novel foci of Dermacentor reticulatus ticks infected with Babesia canis and Babesia caballi in the Netherlands and in Belgium

open access: yesParasites & Vectors, 2015
Background Autochthonous populations of Dermacentor reticulatus ticks in the Netherlands were discovered after fatal cases of babesiosis occurred in resident dogs in 2004. The presence of D.
Frans Jongejan   +9 more
doaj   +1 more source

Genetic Characterization of Argas persicus From Iran by Sequencing of Mitochondrial Cytochrome Oxidase I (COX1) and 16s rRNA Genes [PDF]

open access: yesIranian Journal of Veterinary Medicine, 2019
Background: Argas persicus has a great importance for health and veterinary, it can transmit many infectious agents such as Borrelia anserina (avian spirochetosis) and Aegyptianella pullorum.
Shahriar Yavari   +4 more
doaj   +1 more source

Recent Progress on Tick-Borne Animal Diseases of Veterinary and Public Health Significance in China

open access: yesViruses, 2022
Ticks and tick-borne diseases pose a growing threat to human and animal health, which has brought great losses to livestock production. With the continuous expansion of human activities and the development of natural resources, there are more and more ...
Weijuan Jia   +5 more
doaj   +1 more source

Molecular Epidemiology and Phylogeny of Crimean-Congo Haemorrhagic Fever (CCHF) Virus of Ixodid Ticks in Khorasan Razavi Province of Iran

open access: yesJournal of Arthropod-Borne Diseases, 2021
Background: Crimean–Congo hemorrhagic fever (CCHF) is a fatal disease caused by Nairovirus classified within the Bunyaviridae family. The virus is transmitted to humans through the bites of infected ticks or direct contact with viremic animals or humans.
Hossein Maghsood   +5 more
doaj   +1 more source

Forecasting Disease Burden In Philippines: A Symbolic Regression Analysis [PDF]

open access: yesarXiv, 2021
Burden of disease measures the impact of living with illness and injury and dying prematurely and it is increasing worldwide leading cause of death both global and national. This paper aimed to propose an index of diseases and evaluate a mathematical model to describe the number of burden of disease by cause in the Philippines from 1990 - 2016. Through
arxiv  

Insect‐specific viruses used in biocontrol of mosquito‐borne diseases

open access: yesInterdisciplinary Medicine, Volume 1, Issue 1, January 2023., 2023
Insect‐specific RNA viruses (ISRVs) are involved in a wide range of families including Flaviviridae, Bunyaviridae, Negeviruses, Togaviridae, Reoviridae, Mesoniviridae, and Rhabdoviridae, which cannot infect vertebrates, including humans. However, ISRVs can infect and replicate in mosquitoes, interfering with the replication of mosquito‐borne viruses ...
Jiating Chen   +2 more
wiley   +1 more source

CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays [PDF]

open access: yesarXiv, 2021
We systematically evaluate the performance of deep learning models in the presence of diseases not labeled for or present during training. First, we evaluate whether deep learning models trained on a subset of diseases (seen diseases) can detect the presence of any one of a larger set of diseases.
arxiv  

A novel combination of fipronil and permethrin (Frontline Tri-Act®/Frontect®) reduces risk of transmission of Babesia canis by Dermacentor reticulatus and of Ehrlichia canis by Rhipicephalus sanguineus ticks to dogs

open access: yesParasites & Vectors, 2015
Background The ability of Frontline Tri-Act®/Frontect®, a topical ectoparasiticide containing fipronil and permethrin for dogs, to prevent the transmission of Babesia canis as well as Ehrlichia canis was evaluated by infesting dogs with infected vector ...
Frans Jongejan   +3 more
doaj   +1 more source

Ontology Based Information Extraction for Disease Intelligence [PDF]

open access: yesInternational Journal of Research in Computer Science, 2 (6): pp. 7-19, November 2012. doi:10.7815/ijorcs.26.2012.051, 2012
Disease Intelligence (DI) is based on the acquisition and aggregation of fragmented knowledge of diseases at multiple sources all over the world to provide valuable information to doctors, researchers and information seeking community. Some diseases have their own characteristics changed rapidly at different places of the world and are reported on ...
arxiv   +1 more source

Common human diseases prediction using machine learning based on survey data [PDF]

open access: yesarXiv, 2022
In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. In this time, there are some types of diseases COVID-19, normal flue, migraine, lung disease, heart disease, kidney disease, diabetics, stomach disease,
arxiv  

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