Spatial Patterns and Risk Factors of Bluetongue Virus Infection in Inner Mongolia, China

2019 ◽  
Vol 19 (7) ◽  
pp. 525-532 ◽  
Author(s):  
Jun Ma ◽  
Xiang Gao ◽  
Boyang Liu ◽  
Jianhua Xiao ◽  
Hao Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Virus Infection ◽  
Spatial Patterns ◽  
Inner Mongolia ◽  
Bluetongue Virus

scholarly journals Seroprevalence and Risk Factors of the Bluetongue Virus in Cattle in China From 1988 to 2019: A Comprehensive Literature Review and Meta-Analysis

2021 ◽  
Vol 7 ◽  
Author(s):  
Qing-Long Gong ◽  
Qi Wang ◽  
Xue-Yao Yang ◽  
Dong-Li Li ◽  
Bo Zhao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Virus Infection ◽  
Bluetongue Virus ◽  
Meta Analysis ◽  
Farming Systems ◽  
Reproductive Capacity ◽  
Economic Losses ◽  
Point Estimate ◽  
Livestock Breeding ◽  
Intensive Farming

Background: Bluetongue caused by the bluetongue virus (BTV) is a non-contagious and an insect-borne disease mainly affecting domestic and wild ruminants. Bluetongue in cattle is associated with vesicular lesions, weight loss, low milk production, and low reproductive capacity. It should not be ignored as it is associated with large economic losses to the livestock breeding industry in China. Although many studies have investigated bluetongue virus infection in cattle, no nationwide study on the prevalence of bluetongue virus infection in cattle from China has yet been conducted. This meta-analysis aimed to evaluate the seroprevalence and risk factors for bluetongue in cattle.Results: We collected 50 publications from 1988 to 2019 through PubMed, ScienceDirect, Chinese Web of Knowledge (CNKI), VIP Chinese journal database, and Wanfang database. A total of the pooled bluetongue seroprevalence of 12.2% (5,332/87,472) in cattle was tested. The point estimate of bluetongue collected from 2001 to 2011 was 22.5% (95% CI: 1.2–58.9), which was higher than after 2012 (9.9%, 95% CI: 3.3–19.4). The analysis of the feeding model subgroup revealed that the seroprevalence of bluetongue was significantly higher (P < 0.05) among free-range cattle (22.5%; 95% CI: 7.7–42.3) than among cattle from intensive farming systems (1.8%; 95% CI: 0.0–6.7). The seroprevalence of bluetongue in different species showed significant variation (P < 0.05), with the highest seroprevalence of 39.8% (95% CI: 18.7–63.0) in buffalo and the lowest seroprevalence of 4.3% (95% CI: 1.2–9.0) in yak. In the zoogeographical division subgroup, the seroprevalence of bluetongue correlated positively within a certain range with the species distribution of Culicoides.Conclusion: Our findings suggested that bluetongue was prevalent in cattle in China. In addition, the contact with sheep, other ruminants, or transmission media such as Culicoides may increase the seroprevalence of bluetongue disease in cattle. It is necessary to carry out continuous monitoring of the bluetongue seroprevalence. Moreover, comprehensive and improved strategies and measures should be implemented to prevent and control the spread of bluetongue.

scholarly journals Prevalence of bluetongue virus infection and associated risk factors among cattle in North Kordufan State, Western Sudan

2014 ◽  
Vol 10 (1) ◽  
pp. 94 ◽  
Author(s):  
Ibrahim A Adam ◽  
Mohamed A Abdalla ◽  
Mohamed EH Mohamed ◽  
Imadeldin E Aradaib
Keyword(s):  
Risk Factors ◽  
Virus Infection ◽  
Bluetongue Virus ◽  
Associated Risk Factors

Prevalence of the metabolic syndrome and its risk factors in Inner Mongolia, China

2009 ◽  
Vol 64 (3) ◽  
pp. 397-404 ◽  
Author(s):  
T. Xu ◽  
Y. Zhang ◽  
L. Yu ◽  
W. Tong
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Inner Mongolia ◽  
The Metabolic Syndrome

scholarly journals Risk factors and disposition in development of the nervous system infections

2009 ◽  
Vol 62 (9-10) ◽  
pp. 461-467
Author(s):  
Ljiljana Nesic ◽  
Predrag Canovic ◽  
Zeljko Mijailovic ◽  
Jelena Djokovic
Keyword(s):  
Risk Factors ◽  
Nervous System ◽  
Virus Infection ◽  
Lupus Erythematosus ◽  
Bacterial Infections ◽  
Heart Diseases ◽  
Final Diagnosis ◽  
Medical Documentation ◽  
Virus Infections ◽  
Number Of Patients

Introduction. Although well protected, brain is not resistant to infection agents. Acute infections of our nervous system appear more often in children and in persons who have medical history data about previous disorders, especially disorders of the nervous system. It is difficult to list possible risk factors which can be responsible for the appearance of infections of CNS and the resulting conditions. It is often difficult or impossible to determine what previous neural damage was (trauma, anoxic damages etc.) from those appearing during infections of CNS. All-inclusive anamnestic research reduces the possibility of approximate judgments. Material and methods. The research was based on the retrospective analysis of medical documentation of 275 patients. All patients were divided into three groups according to the final diagnosis. The first group consisted of 125 patients who were treated for acute virus encephalitis, the second group consisted of 125 patients who were treated for acute bacterial meningoencephalitis and the third group consisted of 25 patients who were treated for cerebritis. Discussion. In our studies sample, the youngest patient was 3 years old and the oldest was 87 years old. The highest number of patients with virus infection of the CNS was in the group under 25 years of age (45.6%). The highest number of patients with bacterial infections of the CNS and cerebritis was in the group of patients over 45 years of age (64%, 37%). Conclusion. Risk factors were more present in bacterial infections of the nervous system and cerebrit thanin virus infection of CNS. In virus infections of the CNS, 28% of patients had some risk factor, most often-chronic ethylism, diabetes mellitus and acquired heart diseases. In bacterial infections of the CNS, 64% of patients had some predisposed factor. The most frequent factor of risk in these patients were chronic otitis (21.6%) and craniotrauma (14.4%). In cerebritis, risk factors were present in 76% of patients and they were: sepsis (20%), chronic otitis (12%) and systemic lupus erythematosus (8%).

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