scholarly journals Helicobacter pylori and upper gastrointestinal disease: a survey of gastroenterologists in the United Kingdom.

Gut ◽  
1995 ◽  
Vol 37 (3) ◽  
pp. 314-318 ◽  
Author(s):  
R Milne ◽  
R P Logan ◽  
D Harwood ◽  
J J Misiewicz ◽  
D Forman
Keyword(s):  
Helicobacter Pylori ◽  
United Kingdom ◽  
Gastrointestinal Disease ◽  
The United Kingdom ◽  
Upper Gastrointestinal

scholarly journals Helicobacter Pylori Infection and Upper Gastrointestinal Disease

2012 ◽  
Vol 29 (1) ◽  
Author(s):  
Marina Dinić ◽  
Dobrila Đorđević ◽  
Gordana Tasić ◽  
Branislava Kocić ◽  
Milena Bogdanović
Keyword(s):  
Helicobacter Pylori ◽  
Gastrointestinal Disease ◽  
Helicobacter Pylori Infection ◽  
Upper Gastrointestinal

Paediatric Helicobacter pylori Practice in the United Kingdom

2012 ◽  
Vol 55 (3) ◽  
pp. 339
Author(s):  
Mark Goddard ◽  
Carla Lloyd ◽  
R. Mark Beattie ◽  
Richard Hansen
Keyword(s):  
Helicobacter Pylori ◽  
United Kingdom ◽  
The United Kingdom

Identification of a canine coronavirus in Australian racing Greyhounds

2021 ◽  
pp. 104063872110548
Author(s):  
Craig S. Smith ◽  
Martin F. Lenz ◽  
Karen Caldwell ◽  
Jane Oakey
Keyword(s):  
United Kingdom ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Gastrointestinal Disease ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Enteric Disease ◽  
The United Kingdom ◽  
Canine Coronavirus ◽  
Coronavirus Infection

Coronavirus infection can cause a range of syndromes, which in dogs can include mild-to-severe enteritis that generally resolves rapidly. Fatalities can occur from coinfection with other pathogens, including canine parvovirus. Between late December 2019 and April 2020, canine coronavirus (CCoV) was detected in Australian racing Greyhounds that displayed signs of gastrointestinal disease. The CCoV was genotyped using high-throughput sequencing, recovering 98.3% of a type IIb CCoV, generally thought to cause a mild but highly contagious enteric disease. The Australian CCoV was almost identical (99.9%, whole-genome sequence) to another CCoV associated with an outbreak of severe vomiting in dogs in the United Kingdom at the same time (December 2019–March 2020).

scholarly journals Helicobacter pylori Western cagA genotype in Egyptian patients with upper gastrointestinal disease

2018 ◽  
Vol 19 (4) ◽  
pp. 297-300 ◽  
Author(s):  
Manal Diab ◽  
Mohamed Shemis ◽  
Doaa Gamal ◽  
Ahmed El-Shenawy ◽  
Maged El-Ghannam ◽  
...  
Keyword(s):  
Helicobacter Pylori ◽  
Gastrointestinal Disease ◽  
Egyptian Patients ◽  
Upper Gastrointestinal

Isolation of Helicobacter pylori from feces of patients with dyspepsia in the United Kingdom

1994 ◽  
Vol 107 (6) ◽  
pp. 1671-1674 ◽  
Author(s):  
Sean M. Kelly ◽  
Maxton C.L. Pitcher ◽  
Susan M. Farmery ◽  
Glenn R. Gibson
Keyword(s):  
Helicobacter Pylori ◽  
United Kingdom ◽  
The United Kingdom

Campylobacter in housed broiler chickens: a longitudinal study of risk factors

2009 ◽  
Vol 137 (8) ◽  
pp. 1099-1110 ◽  
Author(s):  
S. P. RUSHTON ◽  
T. J. HUMPHREY ◽  
M. D. F. SHIRLEY ◽  
S. BULL ◽  
F. JØRGENSEN
Keyword(s):  
Risk Factors ◽  
United Kingdom ◽  
Longitudinal Study ◽  
Broiler Chickens ◽  
Natural Ventilation ◽  
Gastrointestinal Disease ◽  
Mixed Effect ◽  
The United Kingdom ◽  
Mean Temperature ◽  
Associated Risk Factors

SUMMARYInfections by Campylobacter spp. are a major cause of gastrointestinal disease in the United Kingdom. Most cases are associated with the consumption of chicken that has become contaminated during production. We investigated the epidemiology of Campylobacter spp. in chickens in a 3-year longitudinal study of flocks reared on 30 farms in the United Kingdom. We used Generalized Linear Mixed Effect Models (GLMM) to investigate putative risk factors associated with incidence and prevalence of flock infection arising from farm and flock management and local environmental conditions during rearing. We used survival analysis to investigate infection events and associated risk factors over the course of the study using two marginal models – the independent increment approach, which assumed that individual infection events were independent; and a conditional approach, which assumed that events were conditional on those preceding. Models of flock prevalence were highly overdispersed suggesting that infection within flocks was aggregated. The key predictors of flock infection identified from the GLMM analyses were mean temperature and mean rainfall in the month of slaughter and also the presence of natural ventilation. Mean temperature in the month of slaughter was also a significant predictor of flock infection, although the analyses suggested that the risk in flocks increased in a unimodal way in relation to temperature, peaking at 12°C. The extent of pad burn was also identified as a predictor in these analyses. We conclude that predicting prevalence within flocks with linear modelling approaches is likely to be difficult, but that it may be possible to predict when flocks are at risk of Campylobacter infection. This is a key first step in managing disease and reducing the risks posed to the human food chain.

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