Abstract Drowning is infrequently reported as a cause of death of wild birds and such incidents typically involve individual, rather than multiple, birds. Over a 21-year period (1993 to 2013 inclusive), we investigated 12 incidents of mortality of multiple (2 − 80+) Common starlings ( Sturnus vulgaris ) in Great Britain that appeared to be due to drowning. More than ten birds were affected in ten of these reported incidents. These incidents always occurred during the spring and early summer months and usually involved juvenile birds. In all cases, circumstantial evidence and post-mortem examinations indicated drowning to be the most likely cause of death with no underlying disease found. A behavioural explanation seems likely, possibly related to the gregarious nature of this species combined with juvenile inexperience in identifying water hazards. A review of data from the ringed bird recovery scheme across Great Britain (1909–2013 inclusive) of both starlings and Common blackbirds ( Turdus merula ), also a common garden visitor, identified additional suspected drowning incidents, which were significantly more common in the former species, supporting a species predisposition to drowning. For each species there was a marked seasonal peak from April to August. Drowning should be included as a differential diagnosis when investigating incidents of multiple starling mortality, especially of juveniles.
The aim of this study was to evaluate potential sampling strategies for detection of infected flocks that could be applied during an outbreak of low pathogenicity notifiable avian influenza (LPNAI) initiated in duck holdings, following initial detection. A simulation model of avian influenza virus transmission and spread within and between holdings, respectively, was used to predict the impact on the size and duration of an outbreak of (i) changing the tracing window within which premises that might be the source of infection or that may have been infected by the index premises were sampled and (ii) changing the number of birds sampled in the flock being tested. It has shown that there is potential benefit in increasing the tracing window in terms of reducing the likelihood of a large outbreak. It has also shown that there is comparatively little benefit from increasing the number of birds sampled per flock.
This study presents a method for evaluation of surveillance for avian influenza (AI) in wild birds and compares surveillance activities before and after changes in surveillance strategy in Great Britain (GB). In October 2008 the AI Wild Bird Surveillance (AIWBS) system in GB was modified to focus on passive surveillance (birds found dead), including those found during warden patrols of wetlands and wildlife reserves, with less emphasis on public reporting of birds found dead. The number of birds sampled by active surveillance (birds live-trapped or shot) was also reduced. In the present study the impact of these changes was investigated by comparing the 12 mo prior to October 2008 with the subsequent 12 mo. Four factors were considered for each surveillance system component: 1) the number of wild birds tested; 2) whether the tested wild birds were considered "higher risk species" (HRS) for being infected with AI; 3) the location of the birds tested with respect to counties designated as a priority for surveillance; and 4) the probability that the birds tested might yield a positive AI virus result based on surveillance results in wild birds across Europe. The number of birds tested by both surveillance types was greatly reduced after the strategy change. The proportion of birds sampled in priority counties also significantly decreased in the second year for both active and passive surveillance. However, the proportion of HRS sampled by active surveillance significantly increased, while a significant decrease in these species was seen for passive surveillance in the second year. The derived probability scores for detecting AI based on European surveillance results indicated a reduction in sensitivity for H5N1 highly pathogenic AI detection by passive surveillance. The methods developed to evaluate AIWBS in GB may be applicable to other European Union countries. The results also reflect the complex issues associated with evaluation of disease surveillance in wildlife populations in which the disease ecology is only partially understood.
Please cite this paper as: Slomka et al. (2010) Real time reverse transcription (RRT)‐polymerase chain reaction (PCR) methods for detection of pandemic (H1N1) 2009 influenza virus and European swine influenza A virus infections in pigs. Influenza and Other Respiratory Viruses 4(5), 277–293. Background There is a requirement to detect and differentiate pandemic (H1N1) 2009 (H1N1v) and established swine influenza A viruses (SIVs) by real time reverse transcription (RRT) PCR methods. Objectives First, modify an existing matrix (M) gene RRT PCR for sensitive generic detection of H1N1v and other European SIVs. Second, design an H1 RRT PCR to specifically detect H1N1v infections. Methods RRT PCR assays were used to test laboratory isolates of SIV ( n = 51; 37 European and 14 North American), H1N1v ( n = 5) and avian influenza virus (AIV; n = 43). Diagnostic sensitivity and specificity were calculated for swabs ( n = 133) and tissues ( n = 116) collected from field cases and pigs infected experimentally with SIVs and H1N1v. Results The “perfect match” M gene RRT PCR was the most sensitive variant of this test for detection of established European SIVs and H1N1v. H1 RRT PCR specifically detected H1N1v but not European SIVs. Validation with clinical specimens included comparison with virus isolation (VI) as a “gold standard”, while field infection with H1N1v in swine was independently confirmed by sequencing H1N1v amplified by conventional RT PCR. “Perfect match” M gene RRT PCR had 100% sensitivity and 95·2% specificity for swabs, 93·6% and 98·6% for tissues. H1 RRT PCR demonstrated sensitivity and specificity of 100% and 99·1%, respectively, for the swabs, and 100% and 100% for the tissues. Conclusions Two RRT PCRs for the purposes of (i) generic detection of SIV and H1N1v infection in European pigs, and for (ii) specific detection of H1N1v (pandemic influenza) infection were validated.
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