Factors affecting the use of biosecurity measures for the protection of ruminant livestock and farm workers against infectious diseases in central South Africa

Biosecurity measures have been introduced to limit economic losses and zoonotic exposures to humans by preventing and controlling animal diseases. However, they are implemented on individual farms with varying frequency. The goal of this study was to evaluate which biosecurity measures were used by farmers to prevent infectious diseases in ruminant livestock and to identify factors that influenced these decisions. We conducted a survey in 264 ruminant livestock farmers in a 40,000 km2 area in the Free State and Northern Cape provinces of South Africa. We used descriptive statistics, to characterize biosecurity measures and farm attributes, then multivariable binomial regression to assess the strength of the association between the attributes and the implementation of biosecurity measures including property fencing, separate equipment use on different species, separate rearing of species, isolation of sick animals, isolation of pregnant animals, quarantine of new animals, animal transport cleaning, vaccination, tick control and insect control. Ninety-nine percent of farmers reported using at least one of the 10 biosecurity measures investigated (median [M]: 6; range: 0–10). The most frequently used biosecurity measures were tick control (81%, 214 out of 264), vaccination (80%, 211 out of 264) and isolation of sick animals (72%, 190 out of 264). More biosecurity measures were used on farms with 65–282 animals (M: 6; odds ratio [OR]: 1.52) or farms with 283–12,030 animals (M: 7; OR: 1.87) than on farms with fewer than 65 animals (M: 4). Furthermore, farmers who kept two animal species (M: 7; OR: 1.41) or three or more species (M: 7) used more biosecurity measures than single-species operations (M: 4). Farmers with privately owned land used more biosecurity measures (M: 6; OR: 1.51) than those grazing their animals on communal land (M: 3.5). Farms that reported previous Rift Valley fever (RVF) outbreaks used more biosecurity measures (M: 7; OR: 1.25) compared with farms without RVF reports (M: 6) and those that purchased animals in the 12 months prior to the survey (M: 7; OR: 1.19) compared with those that did not (M: 6). When introducing new animals into their herds (n = 122), most farmers used fewer biosecurity measures than they did for their existing herd: 34% (41 out of 122) used multiple biosecurity measures like those of vaccination, tick control, quarantine or antibiotic use, whereas 36% (44 out of 122) used only one and 30% (37 out of 122) used none. Certain farm features, primarily those related to size and commercialization, were associated with more frequent use of biosecurity measures. Given the variation in the application of biosecurity measures, more awareness and technical assistance are needed to support the implementation of a biosecurity management plan appropriate for the type of farm operation and available resources.DATA AVAILABILITY STATEMENT : The data that support the study's findings and that can be disclosed per IRB protocol are available upon request from EcoHealth Alliance, 520 Eighth Ave Ste 1200, New York, NY 10018, from Melinda K. Rostal ([email protected]).The project depicted is sponsored by the U.S. Department of Defense, Defense Threat Reduction Agency.http://wileyonlinelibrary.com/journal/tbedhj2022Production Animal Studie

LONGITUDINAL ASSOCIATIONS IN BORDERLINE PERSONALITY DISORDER FEATURES: DIAGNOSTIC INTERVIEW FOR BORDERLINES—REVISED (DIB-R) SCORES OVER TIME

The Revised Diagnostic Interview for Borderlines (DIB-R; Zanarini, Gunderson, Frankenburg, & Chauncey, 1989) measures four major aspects of borderline personality disorder (BPD): Affect, Cognition, Impulse Action Patterns, and Interpersonal Relationships. In the present study, 353 young adults completed the DIB-R at age 18 (Wave 1) and again two years later (Wave 2) at age 20. Concerning the prediction of future BPD features, three models were compared: (a) Wave 1 Affect scores predicting all Wave 2 BPD features (NA model); (b) Wave 1 Impulse Action Patterns scores predicting all Wave 2 BPD features (IMP model); and (c) both Wave 1 Affect and Impulse Action Patterns scores predicting all Wave 2 BPD features (NA-IMP model). Each model controlled for stabilities over time and within-time covariances. Results indicated that the NA model provided the best fit to the data, and improved model fit over a baseline stabilities model and the other models tested. However, even within the NA model there was some evidence that the impulsivity scores were not accounted for by other BPD features. These results suggest that although negative affect is predictive of most BPD symptoms, it does not fully predict future impulsive behavior

Factors affecting the use of biosecurity measures for the protection of ruminant livestock and farm workers against infectious diseases in central South Africa

Background: Biosecurity measures have been introduced to limit economic losses and zoonotic exposures to humans by preventing and controlling animal diseases. However, they are implemented on individual farms with varying frequency. Objective: The goal of this study was to evaluate which biosecurity measures were used by farmers to prevent infectious diseases in ruminant livestock and to identify factors that influenced these decisions. Method and Materials: We conducted a survey in 264 ruminant livestock farmers in a 40000km2 area in the Free State and Northern Cape provinces of South Africa. We used descriptive statistics, to characterize biosecurity measures and farm attributes, then multivariable binomial regression to assess the strength of the association between the attributes and the implementation of biosecurity measures including property fencing, separate equipment use on different species, separate rearing of species, isolation of sick animals, isolation of pregnant animals, quarantine of new animals, animal transport cleaning, vaccination, tick control and insect control. Results: Ninety-nine percent of farmers reported using at least one of the ten biosecurity measures investigated, (median [M]: 6; range: 0–10). The most frequently used biosecurity measures were tick control (81%, 214/264), vaccination (80%, 211/264) and isolation of sick animals (72%, 190/264). More biosecurity measures were used on farms with 65–282 animals (M:6; odds ratio [OR]:1.52) or farms with 283–12030 animals (M:7; OR:1.87) than on farms with fewer than 65 animals (M:4). Furthermore, farmers who kept two animal species (M:7; OR:1.41) or three or more species (M:7) used more biosecurity measures than single-species operations (M:4). Farmers with privately owned land used more biosecurity measures (M:6; OR:1.51) than those grazing their animals on communal land (M:3.5). Farms that reported previous Rift Valley fever (RVF) outbreaks used more biosecurity measures (M:7; OR:1.25) compared to farms without RVF reports (M:6) and those that purchased animals in the 12 months prior to the survey (M:7; OR:1.19) compared to those that did not (M:6).When introducing new animals into their herds (n = 122), most farmers used fewer biosecurity measures than they did for their existing herd: 34% (41/122) used multiple biosecurity measures like those of vaccination, tick control, quarantine or antibiotic use, whereas 36% (44/122) used only one and 30% (37/122) used none. Discussion and Recommendations: Certain farm features, primarily those related to size and commercialization were associated with more frequent use of biosecurity measures. Given the variation in the application of biosecurity measures, more awareness and technical assistance are needed to support the implementation of a biosecurity management plan appropriate for the type of farm operation and available resources

Patterns of Rift Valley fever virus seropositivity in domestic ruminants in central South Africa four years after a large outbreak

Rift Valley fever (RVF) is a mosquito-borne viral zoonosis showing complex epidemiological patterns that are poorly understood in South Africa. Large outbreaks occur in the central interior at long, irregular intervals, most recently in 2010–2011; however, the level of herd immunity of ruminant livestock, a key determinant of outbreaks, is unknown. During 2015–2016 a cross-sectional study on 234 randomly-selected farms investigated the prevalence, patterns of, and factors associated with, antibodies to RVF virus (RVFV) in livestock in an area heavily affected by that outbreak. A RVFV inhibition ELISA was used to screen 977 cattle, 1,549 sheep and 523 goats and information on potential risk factors was collected using a comprehensive questionnaire. The estimated RVFV seroprevalence, adjusted for survey design, was 42.9% in cattle, 28.0% in sheep and 9.3% in goats, showing a high degree of farm-level clustering. Seroprevalence increased with age and was higher on private vs. communal land, on farms with seasonal pans (temporary, shallow wetlands) and perennial rivers and in recently vaccinated animals. Seropositivity amongst unvaccinated animals born after the last outbreak indicates likely viral circulation during the post-epidemic period. The current level of herd immunity in livestock may be insufficient to prevent another large outbreak, should suitable conditions recur.The EcoHealth Alliance, the University of Pretoria and the National Research Foundation.http://www.nature.com/srepam2021Production Animal Studie

Risk factors associated with exposure to Crimean-Congo haemorrhagic fever virus in animal workers and cattle, and molecular detection in ticks, South Africa.

Crimean-Congo haemorrhagic fever (CCHF) is a severe tick-borne viral zoonosis endemic to parts of Africa, Europe, the Middle East and Central Asia. Human cases are reported annually in South Africa, with a 25% case fatality rate since the first case was recognized in 1981. We investigated CCHF virus (CCHFV) seroprevalence and risk factors associated with infection in cattle and humans, and the presence of CCHFV in Hyalomma spp. ticks in central South Africa in 2017-18. CCHFV IgG seroprevalence was 74.2% (95%CI: 64.2-82.1%) in 700 cattle and 3.9% (95%CI: 2.6-5.8%) in 541 farm and wildlife workers. No veterinary personnel (117) or abattoir workers (382) were seropositive. The prevalence of CCHFV RNA was significantly higher in Hyalomma truncatum (1.6%) than in H. rufipes (0.2%) (P = 0.002). Seroprevalence in cattle increased with age and was greater in animals on which ticks were found. Seroprevalence in cattle also showed significant geographic variation. Seroprevalence in humans increased with age and was greater in workers who handled livestock for injection and collection of samples. Our findings support previous evidence of widespread high CCHFV seroprevalence in cattle and show significant occupational exposure amongst farm and wildlife workers. Our seroprevalence estimate suggests that CCHFV infections are five times more frequent than the 215 confirmed CCHF cases diagnosed in South Africa in the last four decades (1981-2019). With many cases undiagnosed, the potential seriousness of CCHF in people, and the lack of an effective vaccine or treatment, there is a need to improve public health awareness, prevention and disease control