Epidemiological surveillance of Schmallenberg virus in small ruminants in southern Spain

Author(s):  
Débora Jiménez‐Martín ◽  
David Cano‐Terriza ◽  
José M. Díaz‐Cao ◽  
Joan Pujols ◽  
Manuel Fernández‐Morente ◽  
...  
2020 ◽  
Vol 183 ◽  
pp. 105137 ◽  
Author(s):  
Débora Jiménez-Martín ◽  
Ignacio García-Bocanegra ◽  
Sonia Almería ◽  
Sabrina Castro-Scholten ◽  
Jitender P. Dubey ◽  
...  

2013 ◽  
Vol 61 (1) ◽  
pp. 4-11 ◽  
Author(s):  
R. J. Astorga ◽  
L. Reguillo ◽  
M. Hernández ◽  
F. Cardoso-Toset ◽  
C. Tarradas ◽  
...  

2011 ◽  
Vol 149 (1-2) ◽  
pp. 230-235 ◽  
Author(s):  
Cristina Lorca-Oró ◽  
Joan Pujols ◽  
Antonio Arenas ◽  
Félix Gómez-Guillamón ◽  
Irene Zorrilla ◽  
...  

2010 ◽  
Vol 15 (50) ◽  
Author(s):  
B López Hernández ◽  
J Laguna Sorinas ◽  
I Marín Rodríguez ◽  
V Gallardo García ◽  
E Pérez Morilla ◽  
...  

On 13 October 2010, the Andalusian Epidemiological Surveillance Network was notified of one case of measles. By 15 November 2010, 25 confirmed cases of measles had been reported from Granada, southern Spain, of whom 22 were unvaccinated children under the age of 15 years. This ongoing outbreak involved a subpopulation with low vaccination coverage and parents with ideological objections to vaccination. As of 7 December the number of cases has reached 59.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Marine Nikolaishvili

ObjectiveQ fever is poorly understood in Georgia and its prevalence is largely underestimated in both humans and animals.One of the main goal of the project was shedding study in domestic animals – isolation of C. burnetii from suspected seropositive animal blood, milk samples.IntroductionQ fever is a zoonotic bacterial disease resulting from infection by Coxiella burnetii. Domestic ruminants (cattle, sheep, and goats) are considered the main reservoir for the pathogen, which can also infect humans. Q fever is poorly understood in Georgia and its prevalence is largely underestimated in both humans and animals.In Georgia Q fever laboratory diagnostic was started and implemented at the Laboratory of the Ministry of Georgia (LMA) within GG20 ,,Prevalence, Epidemiological Surveillance, and Laboratory Analysis of Coxiella burnetii in Georgia’’.MethodsLMA conducted Coxiella burnetii shedding evaluation in three specific farms from Kvemo Kartli (Tsalka, Dmanisi) and Mtskheta-Mtianeti (Dusheti). Seropositive cattle and small ruminants were sampled per week. Sampling lasted 7 weeks and totally 581 samples samples (blood, milk and swab) were tested. Testing were conducted in a BSL3 laboratory under BSL3 working conditions. ACCM medium was used (2XACCm-2 acidified Citrate Cysteine Medium PH-4.75G N NaOH). The samples were incubated at 37°C using CO2.ResultsAs a result of the study, one culture was bacteriologically isolated from seropositive cattle milk sample ( the sample was taken on the third week of the study in Beshtasheni farm, Tslka, Kvemo Kartli) and confirmed by Molecular biology (PCR).ConclusionsThe study confirmed Q fever existence in Georgia. Traditionally considered an obligate intracellular agent, the requirement to be grown in tissue culture cells, embryonated eggs, or animal hosts has made it difficult to isolate C. Burnetii strains. Within the study one culture was isolated from the seropositive animal milk sample that was collected in the third week of the study. shedding of Coxiella burnetii in milk by infected cows appeared to be the most frequent positive sample for the bacterium. 


2020 ◽  
Author(s):  
Akinyemi. M. Fasemore ◽  
Andrea Helbich ◽  
Mathias. C. Walter ◽  
Thomas Dandekar ◽  
Gilles Vergnaud ◽  
...  

ABSTRACTQ (query) fever is an infectious zoonotic disease, caused by the Gram-negative bacteria Coxiella burnetii, that sometimes is transmitted to humans from small ruminants like sheep, goat and cattle. Although the disease has been studied since decades, it still represents a threat due to sporadic outbreaks across farms in Europe. The reason for this has been linked to the interaction of several dynamic factors including reservoir type and vector diversity. One important control measure we have identified is a central platform for Coxiella typing data management. This is particularly important in the case of an outbreak where the nature of the pathogen and type would need to be rapidly identified and compared to existing isolates as well as further documented and made available for researcher to aid future investigations. The existing platforms are focused on MLVA (multiple locus VNTR analysis) genotyping. We have designed and implemented an online, open, web-based platform called CoxBase (https://coxbase.q-gaps.de), that is capable of in silico genotyping of completely or minimally assembled Coxiella sequences using five different typing methods, included with a database that holds genotyping information of more than 400 Coxiella isolates with their metadata such as host type, source and year of isolation together with further metadata information. Also, it includes a query and submission interface for interrogating existing isolates and depositing new isolates. Attractive visualization features include maps showing the geographical source of the isolates and plots that can be used to summarize isolates metadata on a country level. We tested our in silico typing method on 50 Coxiella genomes downloaded from the RefSeq database and we could type almost all the genomes except for cases where the sequences are poorly assembled. We identified new spacer sequences using our MST in silico typing methods, and could categorize adaA gene phenotypes for all 50 genomes as well as their plasmid types.


2012 ◽  
Vol 106 (2-3) ◽  
pp. 71-76 ◽  
Author(s):  
K. Lievaart-Peterson ◽  
S.J.M. Luttikholt ◽  
R. Van den Brom ◽  
P. Vellema

2020 ◽  
Vol 8 (11) ◽  
pp. 1766
Author(s):  
Marie Cicille Ba Gahn ◽  
Fallou Niakh ◽  
Mamadou Ciss ◽  
Ismaila Seck ◽  
Modou Moustapha Lo ◽  
...  

Bluetongue is a non-contagious viral disease affecting small ruminants and cattle that can cause severe economic losses in the livestock sector. The virus is transmitted by certain species of the genus Culicoides and consequently, understanding their distribution is essential to enable the identification of high-risk transmission areas. In this work we use bioclimatic and environmental variables to predict vector abundance, and estimate spatial variations in the basic reproductive ratio  R0. The resulting estimates were combined with livestock mobility and serological data to assess the risk of Bluetongue outbreaks in Senegal. The results show an increasing abundance of C. imicola, C. oxystoma, C. enderleini, and C. miombo from north to south. R0 < 1 for most areas of Senegal, whilst southern (Casamance) and southeastern (Kedougou and part of Tambacounda) agro-pastoral areas have the highest risk of outbreak (R0 = 2.7 and 2.9, respectively). The next higher risk areas are in the Senegal River Valley (R0 = 1.07), and the Atlantic coast zones. Seroprevalence rates, shown by cELISA, weren’t positively correlated with outbreak probability. Future works should include follow-up studies of competent vector abundancies and serological surveys based on the results of the risk analysis conducted here to optimize the national epidemiological surveillance system.


2014 ◽  
Vol 118 (1-3) ◽  
pp. 63-68 ◽  
Author(s):  
M. Ganter ◽  
R. Eibach ◽  
C. Helmer

2014 ◽  
Vol 58 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Magdalena Larska ◽  
Julia Kęsik-Maliszewska ◽  
Aleksandra Kuta

Abstract The aim of the study was to evaluate the prevalence of Schmallenberg virus (SBV) specific antibodies in ruminants from 13 Polish provinces, sampled between January 2010 and August 2013. A total number of 1813 serum samples from cattle, sheep, goats, mouflon, wild and farmed cervids, and European bison were tested by ELISA for viral nucleoprotein antibodies. First SBV seropositive animals were identified in August 2012 (1.6%), and the percentage increased gradually, reaching 57.1% in December of this year. The proportion of seropositive animals in 2013 at the level of 34.2% increased tenfold in comparison to 2012 (3.4%), which was particularly significant at the level of individual provinces. In 2013, the highest percentages of SBV seropositive animals were found in Dolnoslaskie (92.3%), Podlaskie (82.3%), and Zachodniopomorskie (80.9%) provinces. Significant associations between the seroprevalence and province of origin, month, ruminant species, and insect vector activity were found, while no dependence of animal age on seropositivity was observed. The differences between SBV seropositive large and small ruminants suggested the involvement of some vector exposure factors, which needs to be further investigated.


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