Assessing biosecurity practices, movements and densities of poultry sites across Belgium, resulting in different farm risk-groups for infectious disease introduction and spread

The existing diversity within poultry systems affects the potential risk of infectious disease introduction and spread. Population data on the level of biosecurity and between-farm contacts is scarce, despite its importance for identifying possible routes of disease transmission. A study was carried out in Belgium to investigate and differentiate professional and hobby poultry sites based on their biosecurity levels and farm movements. Questionnaire data from a total of 37 professional poultry farms, 19 hatcheries and 286 hobby poultry sites were analyzed using a combination of a linear scoring system, a Categorical principal component analysis (CATPCA) and a Two-Step cluster analysis (TSCA). In general, the level of biosecurity was lower in hobby poultry flocks, mainly due to the poor confinement against the outdoor environment and the poor infrastructural hygiene. Most Belgian professional poultry farms and hatcheries had an acceptable level of adoption of standard biosecurity practices, however less attention was given to the way transportation vehicles and employers were brought onto farms and professional visitors welcomed. Considerable variation in the movements and in the structure of the networks arising from these movements was found. Movement frequencies were higher at professional farms compared to hobby farms. Results showed that multiple category farming systems had the highest total movement frequencies. Monthly frequencies of professional visits often exceeded those of poultry and egg movements. Professional and hobby poultry sites were also connected, but movements of poultry and eggs were found only to occur from professional to hobby sites. However, hobby poultry keepers were personally purchasing the poultry and eggs on the professional poultry sites. Six groups of poultry sites were differentiated, which are interpreted as very low to very high risk groups, based on the potential of infectious disease introduction and spread.     

Adoption of biosecurity practices in the Australian poultry industries

OBJECTIVE: To determine the level of adoption within the Australian poultry industries of a range of standard biosecurity practices. DESIGN: A questionnaire survey of owners and managers of 1753 commercial poultry farms. Procedure Information was collected by telephone or in person from the owners and managers of poultry farms. Data were entered onto an Excel spreadsheet and analysed using the statistical tools within Excel. RESULTS: The response rates to the questionnaire for the chicken meat, egg, duck and turkey sectors were 94%, 37%, 92% and 96% respectively. Within the chicken meat sector, the adoption rate exceeded 98% for 11 practices with only the rates for appropriate disposal of spent litter/manure (94%) and development of farm level biosecurity plans (88%) falling below this level. Adoption rates for all practices had increased or remained at 100% since the last survey conducted in 2001. Integrated companies in the turkey and duck sector also reported high levels of adoption for most biosecurity practices although rates for the use of fresh litter, cleaning of sheds between batches of birds and maintenance of single age flocks were lower than in the chicken meat sector. Adoption rates for biosecurity practices on independently owned farms in the turkey and duck sectors were lower than for farms operated by integrated companies. CONCLUSIONS: Farms in the chicken meat, turkey and duck sectors of the Australian poultry industries have a high level of adoption of biosecurity practices with only a small proportion of farms needing to further enhance their biosecurity.     

Assessment of biosecurity level in small-scale broiler farms in the Western highlands of Cameroon (Central Africa)

The recent outbreak of avian influenza in the poultry sector of Cameroon has raised a concern about the level of implementation of biosecurity measures (BM) on poultry farms. Therefore, a study using a questionnaire on 102 randomly selected poultry farms was undertaken. Some measures with high adoption levels (>?90%) included “protection of airing openings of poultry barns by a wire mesh,” “no external animal allowed to enter the farm,” “respect of all-in all-out principle,” “functional footbath,” “rodent control,” and “feedstuff protection from access to rodents.” The least implemented measures (less than 20%) were “wearing of dedicated clothing (clean coveralls and boots) by workers,” “disinfection of visitors,” and “presence of storage room for dead animals.” Only for “isolation” component of biosecurity, compliance with biosecurity measures was good, with more than 50% of farms having an adoption rate greater than 75%. The mean biosecurity score for the assessed farms was 19.29?±?1.89 for a maximum score of 38 points. The score was significantly and positively correlated (p?<?0.05) with the number of chicken and the geographic location of farms. The other results showed that the mean number of broiler per cycle was 550.82?±?76 for a stocking density of 27.20?±?6.64 birds per m². In conclusion, broiler production in the Western highland is dominated by small-scale units with low level of biosecurity practices positively and significantly (p?<?0.05) influenced by some production characteristics. To improve biosecurity practices in the area, efforts must focus on measures concerning “sanitation” and “traffic control” components of biosecurity.     

Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

ABSTRACT

Aims: To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers.

Methods: A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined.

Results: Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p?<?0.001) and were lowest for breeder enterprises. The greatest risk for layer and broiler enterprises was from the potential movement of employees between sheds, and for breeder enterprises was the on- and off-farm movement of goods and services. Median biosecurity scores also differed between production types (p?<?0.001), and were highest for breeder and broiler enterprises. Across all sectors there was no statistical correlation between biosecurity scores and disease risk scores. Producers showed a high level of concern over effectively managing biosecurity measures.

Conclusions: The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.     

Contact structure and potential risk factors for avian influenza transmission among open-sided chicken farms in Kamalia, an important poultry rearing area of Pakistan

Since 1994, the domestic poultry in Pakistan has experienced several outbreaks due to avian influenza viruses of subtypes H7N3, H5N1, and H9N2. This paper reveals horizontal contacts and potential risk factors for the spread of avian influenza infection between open-sided chicken farms in Kamalia, a sub-district of Punjab province. Between April and June 2009, an interview-based questionnaire was administered to a sample of 78 growers. The survey identified the following potential biosecurity risks for outbreak propagation: i) short buffer distances between farms, ii) disposal of carcasses and other organic wastes into the environment, iii) entry of feral birds into poultry sheds, iv) visits of poultry farmers to possible cross-contamination sites, v) absence of boundary walls, vi) incomplete biosecurity on high-risk visitors (i. e. those going inside the poultry houses), essential vehicles and equipment used by vaccination crews vii) visits of intermediaries and service providers and, viii) sharing of egg trays between farms at production. For most of the variables, there was no significant difference between the broiler and layer type of farms (p < or = 0.05). The risk of an extensive outbreak in Kamalia was concluded to be due to its high poultry density, ubiquitous small-scale, market-oriented poultry production with medium to low biosecurity, and the affiliation of the farmers to multiple service providers. To reduce the risk of having an outbreak, farm-specific biosecurity gaps should be identified and appropriate action taken to close these gaps. Improvement in biosecurity and targeted surveillance are therefore considered critical to limit the spread of infection should an outbreak occur.     

Evaluation of risk factors for the spread of low pathogenicity H7N2 avian influenza virus among commercial poultry farms

OBJECTIVE: To identify risk factors associated with the spread of low pathogenicity H7N2 avian influenza (AI) virus among commercial poultry farms in western Virginia during an outbreak in 2002. DESIGN: Case-control study. PROCEDURE: Questionnaires were used to collect information about farm characteristics, biosecurity measures, and husbandry practices on 151 infected premises (128 turkey and 23 chicken farms) and 199 noninfected premises (167 turkey and 32 chicken farms). RESULTS: The most significant risk factor for AI infection was disposal of dead birds by rendering (odds ratio [OR], 73). In addition, age > or = 10 weeks (OR for birds aged 10 to 19 weeks, 4.9; OR for birds aged > or = 20 weeks, 4.3) was a significant risk factor regardless of poultry species involved. Other significant risk factors included use of nonfamily caretakers and the presence of mammalian wildlife on the farm. Factors that were not significantly associated with infection included use of various routine biosecurity measures, food and litter sources, types of domestic animals on the premises, and presence of wild birds on the premises. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggest that an important factor contributing to rapid early spread of AI virus infection among commercial poultry farms during this outbreak was disposal of dead birds via rendering off-farm. Because of the highly infectious nature of AI virus and the devastating economic impact of outbreaks, poultry farmers should consider carcass disposal techniques that do not require off-farm movement, such as burial, composting, or incineration.     

2021年山东省家禽养殖场生物安全水平问卷调查

为了解山东省家禽养殖场的生物安全水平,以问卷调查方式,对养殖场基本信息、场内区域划分、免疫接种、引种购进、消毒、饲养管理等问题展开调查。经预调查后,2021年6—7月在全省范围内开展本次调查。在全省16个地级市,采用随机抽样方式,每地级市抽检1~2个县(市、区);应用配额采样方式,在县市域内选取蛋鸡养殖场、肉鸡养殖场以及种禽场各1家。共收到有效问卷141份,分别来自12个地级市36个县(市、区),其中来自蛋鸡养殖场、肉鸡养殖场和种禽场占比分别为63.83%、26.95%和9.22%。所调查养殖场中,按照管理区、生产区、生活区进行区域划分的133家,一半以上的养殖场能做到每周至少消毒1次;137家养殖场有免疫计划,而无免疫计划的只有4家,包括蛋鸡场1家、肉鸡场3家。肉鸡场没有隔离场所的占比最高,达44.7%。106家养殖场对患病动物进行无害化处理。结果表明,所调查家禽养殖场在区域划分、区域管理、消毒管理、环境控制等生物安全方面都进行了相关的设计和应用,在一定程度上,能够起到预防致病因子侵入、阻挡病原微生物扩散的作用,但不同类型养殖场的生物安全水平并不均衡,因此养殖场需继续提高生物安全意识,逐步建立适用于本场的生物安全体系。     

Multivariate analysis of management and biosecurity practices in smallholder pig farms in Madagascar

A cross-sectional study was carried out in 2005 and 2006 in three geographical areas of Madagascar to investigate and differentiate swine farm management and biosecurity practices in smallholder farming communities. Questionnaire data from a total of 709 pig farms were analysed using multiple factor analysis (MFA) and hierarchical cluster analysis (HCA). Variables describing management and biosecurity practices were organised into five groups: structure of the farm, animal-contacts, person- and vehicle-contacts, feeding, and sanitary aspects. In general, few biosecurity measures were implemented in the pig farms included in the study. Regional differences in management and biosecurity practices emerged from the MFA and were mainly due to, in order of decreasing importance: structure of the farm, sanitary aspects, feeding and animal-contacts and, to a lesser extent, person- and vehicle-contacts. HCA resulted in the differentiation of four distinct types of farms in each of two study areas, Arivonimamo and Marovoay, while no grouping could be identified amongst farms in Ambatondrazaka area. The characterisation of the different types of smallholder pig farms will allow adapting recommendations on husbandry practices and control measures in pig farms of these regions of Madagascar. The development of tailored recommendations is essential for Malagasy smallholders who have limited resources and need to make evidence-based management changes to reduce the risk of contagious diseases in their herds.     

Risk factors for the introduction of avian influenza virus into commercial layer chicken farms during the outbreaks caused by a low-pathogenic H5N2 virus in Japan in 2005

Avian influenza outbreaks caused by a low-pathogenic H5N2 virus occurred in Japan from June to December 2005. All 41 affected farms housed layer chickens. Therefore, we conducted a case-control study targeting all commercial layer chicken farms within the movement restriction areas in Ibaraki prefecture, where most outbreaks were detected, to investigate the risk factors for the introduction of avian influenza virus (AIV). Four variables were identified as risk factors associated with the introduction of AIV by multivariate logistic regression: 'introduction of end-of-lay chickens ' (odds ratio (OR) = 36.6), 'sharing of farm equipment among farms' (OR = 29.4), 'incomplete hygiene measures of farm visitors on shoes, clothes and hands' (OR = 7.0), and 'direct distance to the nearest case farm' (0-500 m, OR = 8.6; 500-1000 m, OR = 0.8; 1000-1500 m, OR = 20.1; referenced more than 1500 m). We fully believe that strict biosecurity measures should be applied against any incursion points so as not to introduce AIV into more farms.     

An investigation of the movement patterns and biosecurity practices on Thoroughbred and Standardbred stud farms in New Zealand

Utilising a face-to-face interview of stud managers, a survey was conducted to investigate the movement patterns around, and biosecurity practices on, Thoroughbred and Standardbred stud farms. Eligible stud farms (n = 60) were identified from the 2009 Thoroughbred stallion register and 2009 Standardbred stallion register, and stud managers were asked to participate in the interview. In total, 27 stud managers agreed to participate in the study, and participating stud farms included 38% of Thoroughbred and 60% of Standardbred mares bred in 2009. All stud managers reported the movement of horses to and from their stud farm. The median number of movement events per year was 127 (interquartile range 83–300). The frequency of movement events from a stud farm was not associated with the breed of horse managed on the stud farm, however Thoroughbred horses travelled further than Standardbred horses during these movement events (P < 0.001). The movement patterns of horses around stud farms showed a strong seasonality associated with the commercial breeding season of each breed. While 26 (96%) of stud managers reported having procedures in place for checking newly arriving horses, only 6 (22%) stud managers reported isolating horses on arrival as a standard protocol. The main reason for isolating horses on properties, where isolation was not a standard procedure, was in response to strangles outbreaks on other stud farms (n = 10). Only 2 (7%) stud managers reported implementing visitor protocols, and these protocols only applied to visiting veterinarians, but not to farriers. These findings have important implications for the control of both endemic and exotic infectious disease outbreaks within the New Zealand breeding population as the high frequency of movement around stud farms, the high number of visitors to stud farms and the lack of effective biosecurity practices or visitor protocols will be critical factors in the spread of equine influenza during an outbreak.     

A preliminary investigation of New Zealand isolates of Pasteurella multocida

Abstract

AIMS: To determine the proportion of residential land parcels with backyard poultry in an urban and urban-rural fringe area of provincial New Zealand. To document key husbandry and biosecurity practices of owners of backyard poultry, and to identify factors that might assist animal health authorities in locating backyard poultry flocks in the event of an infectious disease emergency.

METHODS: A cross-sectional survey was undertaken, in which residents of 449 land parcels in an urban and urban-rural fringe area within and adjacent to the city of Palmerston North, respectively, were visited between February and November 2006. Residents were asked if backyard poultry were kept on the premises. Details recorded for those that kept poultry included the type and number of birds kept, and details of management and biosecurity practices. The geographical distribution of poultry-positive land parcels was assessed for evidence of spatial clustering.

RESULTS: Backyard poultry were kept on 3.5 (95% CI=2.15.0)% of land parcels; 1.6 (95% CI=0.7-3.4)% in the urban area and 18.9 (95% CI= 11.6–29.3)% in the urban-rural fringe area. There were no significant clusters of poultry-positive land parcels in either area. On all poultry-positive parcels birds were allowed, for at least a portion of the day, to range freely over the property. Three poultry-positive land parcels were within a distance of 1 km of a commercial poultry enterprise in the urban-rural fringe area. Most owners of backyard poultry used feed prepared commercially.

CONCLUSIONS: The prevalence of ownership of backyard poultry in this area of New Zealand was low, and varied according to classification of the land, viz urban, or urban-rural fringe. The close proximity of backyard flocks to the single commercial enterprise in the urban-rural fringe area reiterates the importance of strict biosecurity measures on commercial farms. In the event of an infectious disease emergency, it is proposed that a sampling frame of owners of backyard poultry might be rapidly obtained by contacting suppliers of commercial feed.     

Identification of risk factors associated with highly pathogenic avian influenza H5N1 virus infection in poultry farms, in Nigeria during the epidemic of 2006-2007

We conducted a matched case-control study to evaluate risk factors for infection with highly pathogenic avian influenza (HPAI) H5N1 virus in poultry farms during the epidemic of 2006-2007 in Nigeria. Epidemiologic data were collected through the use of a questionnaire from 32 case farms and 83 control farms. The frequency of investigated exposure factors was compared between case and control farms by using conditional logistic regression analysis. In the multivariable analysis, the variables for (i) receiving visitors on farm premises (odds ratio [OR]=8.32; 95% confidence interval [CI]=1.87, 36.97; P<0.01), (ii) purchased live poultry/products (OR=11.91; 95% CI=3.11-45.59; P<0.01), and (iii) farm workers live outside the premises (OR=8.98; 95% CI=1.97, 40.77; P<0.01) were identified as risk factors for HPAI in poultry farms. Improving farm hygiene and biosecurity should help reduce the risk for influenza (H5N1) infection in poultry farms in Nigeria.     

Biosecurity measures on swine farms in Spain: perceptions by farmers and their relationship to current on-farm measures

A survey was conducted on 172 farms belonging to the same company in order to ascertain the biosecurity measures applied and the importance that farmers attributed to each measure. A questionnaire about general data, the opinions of farmers about biosecurity measures, and a detailed checklist of the biosecurity measures actually applied on the farm was completed for each one of the participating farms. Opinion data were initially analysed by means of a cluster analysis (multidimensional scaling method); then, a logistic regression was used to analyse the relationship between the perceptions of the farmer and the measures applied on the farm. In general, farmers implemented measures to reduce risks of contamination from people and animals other than pigs. In contrast, biosecurity measures related to replacement stock were not applied as often. On average, the farmers scored the biosecurity on their own farms as 6.7 on a scale of 0-10. The most important measures, according to the farmers' perceptions, were the availability of a sanitary ford, a fence around the farm, the restriction of visits and vehicles, using bird-proof nets in windows, having changing facilities, applying quarantines, and the use of other measures related to replacement stock. The perception of a given measure was strongly influenced by the measures actually applied on the farm. Thus, for example, those who did not have a sanitary ford highlighted the importance of disinfecting vehicles while those who had one neglected this type of disinfection. In conclusion, knowledge of the relationships between perceptions and measures taken is important in developing effective biosecurity strategies on pig farms.     

Zoonotic disease awareness survey of backyard poultry and swine owners in southcentral Pennsylvania

Owners of small backyard poultry and swine operations may be at higher risk of zoonotic diseases due to husbandry inexperience and/or a lack of knowledge. Backyard poultry and swine owners in southcentral Pennsylvania were surveyed regarding their knowledge and attitudes towards zoonotic disease prevention. One hundred and six backyard poultry and/or swine owners completed the survey (74 poultry, 15 swine, 17 both), which included questions on demographics, flock/herd characteristics, recognition of selected zoonotic diseases and clinical signs in animals, and biosecurity practices for visitors and owners. Most responded that they were aware of avian (92.2%) and swine (84.4%) influenza, and were less aware of other zoonotic diseases such as salmonellosis and brucellosis. The majority of backyard poultry and swine owners combined (62.9%) reported allowing visitors freely around their animals and did not require any special precautions. Backyard poultry and swine owners most commonly reported rarely (32.7%) or never (28.9%) wearing work gloves and never (57.1%) wearing nose/mouth coverings, such as a respirator mask, while handling animals or manure. The study findings indicated that veterinarians (61.5%) and the Internet (50.0%) are the main sources where small‐scale farm producers seek animal disease information. Approximately one‐third (34.9%) of the respondents reported receiving seasonal influenza vaccine. The findings of this study will be utilized to provide targeted veterinary and public health education for the prevention of zoonotic diseases in backyard farm animal settings in Pennsylvania.     

Farm-level risk factors for the presence of Salmonella in 89 Alberta swine-finishing barns

This study investigated potential risk factors for the presence of Salmonella on 89 Alberta swine-finishing farms with the use of a questionnaire. Salmonella status was regressed on each fixed effect in a logistic mixed regression model, with farm as the random effect. Eleven variables were significant at the 10% level: farm type, number of square feet per pen, number of pigs per pen, source of feed, ration type, dust control measures, cat presence, reported effective mouse-control measures, time required to be away from pigs before visiting the farm, precautions taken when entering or leaving the farm, and reported use of antimicrobials through water. Three factors remained significant at the 5% level in the multivariable analysis: farm type, ration type, and precautions taken when entering or leaving the farm. Finishing barns at multisite operations or individual grow-to-finish farms had a greater risk of the presence of Salmonella at a single visit than did finishing barns at farrow-to-finish farms. The use of pelleted and wet feed was associated with higher odds of the presence of Salmonella than was the use of meal feed. Farms that required their personnel or visitors to shower before entering and before leaving had increased odds of the presence of Salmonella compared with farms that provided boots and coveralls; no significant difference was observed between the latter category and farms that used boot disinfection. Further work is necessary to better understand the effectiveness of all-in/all-out pig management and disinfection practices in reducing the presence of Salmonella in swine and to evaluate the association with certain types of feed.     

口蹄疫的特点以及规模化猪场生物安全体系构建

近年来,猪的口蹄疫疫情时有发生,面对具有高度传染性的疫病,尤其在国内规模化、集约化的养殖场中,一旦发生疫情不利于控制,极易造成疫情大范围暴发,因此采取必要的预防和控制措施仍然是关键所在。本文以口蹄疫为例,简述口蹄疫的特点,并通过选址与布局、生产管理、可移动风险和疫病防控等4个方面,阐明构建猪场生物安全体系是防控疫病的重点和核心,以期为规模化猪场应对重大疫病、建设绿色健康可持续发展的规模化猪场提供有效帮助,促进养殖业健康发展。     

Evaluation of the relationship between personality traits, experience, education and biosecurity compliance on poultry farms in Québec, Canada

Biosecurity compliance is an issue in all types of animal production. Poor compliance is frequently related to lack of knowledge or comprehension. Human dimensions, such as personality and attitudes were also suggested as being related to compliance. As part of a larger study, personality traits, experience, education and training of employees, visitors and growers were evaluated to assess their relationship with their compliance with biosecurity measures when entering and exiting poultry barns. Biosecurity compliance was evaluated using hidden cameras. One hundred fourteen individuals involved in a total of 2379 visits on 23 poultry farms responded to a personality test. Results demonstrated that several determinants of compliance exist, and some are related to personality, experience and education. Three personality traits were significantly associated with compliance: responsibility, complexity and action-oriented. Such information has important implications for the selection of job applicants or task attribution and to enhance effectiveness of training programs.     

Occurrence of respiratory disease outbreaks in fattening pigs: relation with the features of a densely and a sparsely populated pig area in France

A survey was carried out in France in 1999 in a Densely Populated Pig Area (DPPA) and a Sparsely Populated Pig Area (SPPA) from which 80 and 55 pig farms were respectively investigated. The two areas were compared regarding the number of respiratory disease outbreaks in fattening pigs on each farm per year with a multiple correspondence analysis and hierarchical clustering. The two areas exhibited different typologies: in the DPPA, high density was associated with a high proportion of finishing-pig units resulting in much moving of piglets within the area. Farrow-to-finish farms located in the DPPA had many contacts with external vehicles; this was associated with more than two respiratory disease outbreaks per farm per year. There also was a lack of biosecurity measures implemented on these farms. Conversely, the good health situation of the farms located in the SPPA was associated with few external contacts and good biosecurity measures. In a second step, risk factors for the occurrence of more than 2 respiratory outbreaks per year were studied. Having more than 4 pig farms within a 2 km radius area, more than 30 incoming rendering trucks per year, and storage of the carcasses of dead animals within the farm yard perimeter increased the risk of occurrence of more than 2 respiratory disease outbreaks per year on the farm. This risk was also increased when there were more than 2 animal-transport lorries entering the farm per month and more than 1 veterinarian's or technician's vehicle coming in every 2 months. These results were discussed because of possible bias due to the retrospective design of the survey and the sampling scheme (randomisation within two areas).     

Description of 44 biosecurity errors while entering and exiting poultry barns based on video surveillance in Quebec, Canada

The effectiveness of biosecurity measures depends largely on the consistency of their applications by all those involved in poultry production. Unfortunately, poor biosecurity compliance has been reported repeatedly in poultry, as well in all other major animal productions. As part of a larger study, we conducted an investigation on eight poultry farms in Quebec, Canada, to evaluate compliance of existing biosecurity measures using hidden cameras. The objectives were to evaluate and describe the application of biosecurity measures when entering and exiting poultry barns. A total of 44 different mistakes were observed from 883 visits done by 102 different individuals. On average, four errors were recorded per visit. The maximum number of errors made by one individual during one visit was 14. People observed over several visits made on average six different errors. Twenty-seven out of the 44 errors (61.4%) were related to area delimitation (clean versus contaminated), six to boots (13.6%), five to hand washing (11.4%), three to coveralls (6.8%) and three to logbooks (6.8%). The nature and frequency of errors suggest a lack of understanding of biosecurity principles. There is thus a need to improve biosecurity training by making educational material available to all poultry personnel demonstrating why and how to apply biosecurity measures.     

A cross-sectional survey of Australian chicken farms to identify risk factors associated with seropositivity to Newcastle-disease virus

Several outbreaks of virulent Newcastle-disease occurred in Australia in 1998–2000. We conducted a cross-sectional survey of 753 Australian chicken farms to identify risk factors associated with the seroprevalence of chicken flocks with Newcastle-disease virus (NDV). We had a 99.7% response rate to the survey and the overall prevalence of NDV seropositive farms was 39.8%. Associations were analysed for the layer, chicken-meat and breeder production sectors in sector-specific logistic-regression models using 187, 198 and 146 farms, respectively. In the layer sector, increased risk of seroprevalence was associated with increasing age of the chickens, and decreased risk when the nearest-neighbour poultry farm was >10 km distant (odds ratio (OR) = 0.30). In the chicken-meat sector, increased risk of seroprevalence was associated with location in the Sydney basin (OR = 13.67), eastern Victoria (OR = 26.10) or western Victoria (OR = 5.43), and decreased risk when the nearest-neighbour poultry farm was greater than 0.5 km distant (OR = 0.34). In the breeder sector, increased risk of seroprevalence was associated with increasing age of the chickens, the presence of wild birds on the farm (OR = 5.28) and location in eastern Victoria (OR = 16.19). A conditional logistic-regression for 112 pairs of farms matched for age, survey region and production sector identified a distance of >1.0 km to the nearest-neighbour poultry farm (OR = 0.24) and ownership by owner 2 (OR = 0.02), owner 5 (OR = 0.11) or owner 9 (OR = 0.25) as significant in reducing the risk of NDV seroprevalence. Our survey found that high levels of biosecurity and hygiene practices had been adopted by most farms.