Detection of Newcastle disease virus and assessment of associated relative risk in backyard and commercial poultry in Kerala, India.

BACKGROUND: Newcastle disease (ND) is an economically important viral disease affecting the poultry industry. In Kerala, a state in South India, incidences of ND in commercial and backyard poultry have been reported. But a systematic statewide study on the prevalence of the disease has not been carried out. OBJECTIVES: A cross-sectional survey was performed to detect the presence of Newcastle disease virus (NDV) in suspect cases and among apparently healthy commercial flocks and backyard poultry, in the state and to identify risk factors for NDV infection. METHODS: Real-time reverse transcription-PCR (RT-PCR) was used to detect the M gene of NDV in choanal swabs and tissue samples collected from live and dead birds, respectively and the results were statistically analysed. RESULTS: The predominant clinical signs of the examined birds included mild respiratory signs, huddling together and greenish diarrhoea. Nervous signs in the form of torticollis were noticed in birds in some of the affected flocks. On necropsy, many birds had haemorrhages in the proventriculus and caecal tonsils which were suggestive of ND. Of the 2079 samples tested, 167 (8.0%) were positive for the NDV M-gene by RT-PCR. Among 893 samples collected from diseased flocks, 129 (14.5%), were positive for M gene with pairwise relative risk (RR) of 15.6 as compared to apparently healthy flocks where 6 out of 650 (0.9%) samples were positive. All positive samples were from poultry; none of the ducks, pigeons, turkey and wild birds were positive. Commercial broilers were at higher risk of infection than commercial layers (RR: 4.5) and backyard poultry (RR: 4.9). Similarly, birds reared under intensive housing conditions were at a higher risk of being infected as compared to those reared under semi-intensive (RR: 6.7) or backyard housing (RR: 2.1). Multivariable analysis indicated that significantly higher risk of infection exists during migratory season and during ND outbreaks occurring nearby. Further, lower risk was observed with flock vaccination and backyard or semi-intensive housing when compared to intensive housing. When the M gene positive samples were tested by RT-PCR to determine whether the detected NDV were mesogenic/velogenic, 7 (4.2%) were positive. CONCLUSIONS: In Kerala, NDV is endemic in poultry with birds reared commercially under intensive rearing systems being affected the most. The outcome of this study also provides a link between epidemiologic knowledge and the development of successful disease control measures. Statistical analysis suggests that wild bird migration season and presence of migratory birds influences the prevalence of the virus in the State. Further studies are needed to genotype and sub-genotype the detected viruses and to generate baseline data on the prevalence of NDV strains, design better detection strategies, and determine patterns of NDV transmission across domestic poultry and wild bird populations in Kerala.

Estimating diabetes prevalence in the Military Health System population from 2006 to 2010.

Evidence-based articles have demonstrated an increase in diabetes prevalence, but diabetes prevalence in the enrolled Military Health System population was previously understudied. Variability in diabetes prevalence rates calculated from 5 groups of algorithms was examined in the Military Health System population (3 million enrollees per year) from fiscal years 2006 to 2010. Time trend analysis and rate comparisons to the U.S. population were also performed. Increasing linear trends in diabetes prevalence from 2006 to 2010 were seen in all algorithms, though considerable rate variation was observed within each study year. Prevalence increased with age, except for a slight decrease in those ≥75 years. Overall diagnosed diabetes prevalence ranged from 7.26% to 11.22% in 2006 and from 8.29% to 13.55% in 2010. Prevalence among active duty members remained stable, but a significant upward trend was observed among nonactive duty members across study years. Age-standardized rates among nonactive duty females were higher than the U.S. population rates from 2006 to 2010. This study demonstrates prevalence rate variability because of differing case algorithms and shows evidence of a growing diabetes population in the Military Health System, specifically within the nonactive duty 45 years and older demographic groups. Further research of this population should focus on validation of case definitions.