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You searched for: Subject "farms" Remove constraint Subject: "farms" Journal Preventive veterinary medicine Remove constraint Journal: Preventive veterinary medicine Publication Year 2017 Remove constraint Publication Year: 2017 Subject data collection Remove constraint Subject: data collection
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1. Epidemiological features and financial loss due to clinically diagnosed Haemorrhagic Septicemia in bovines in Karnataka, India

Author:
Govindaraj, G.; Krishnamoorthy, P.; Nethrayini, K.R.; Shalini, R.; Rahman, H.
Source:
Preventive veterinary medicine 2017 v.144 pp. 123-133
ISSN:
0167-5877
Subject:
large farms; small farms,   etc   ; buffaloes; cost benefit analysis; crossbreds; data collection; disease occurrence; draft animals; farmers; financial economics; households; labor; mathematical models; milk; monsoon season; morbidity; mortality; oxen; risk; septicemia; vaccination; India;     Show all 22 Subjects
Abstract:
... The epidemiological features and financial losses due to Haemorrhagic Septicemia (HS) in bovines were studied in Karnataka state using the primary data collected from 133 clinically diagnosed HS affected farms. The various losses due to HS and the Benefit- Cost of the vaccination programme in cattle and water buffaloes were studied using mathematical models. The number of HS outbreaks were higher ...
DOI:
10.1016/j.prevetmed.2017.05.027

2. Validation of a model for ranking aquaculture facilities for risk-based disease surveillance

Author:
Diserens, Nicolas; Falzon, Laura Cristina; von Siebenthal, Beat; Schüpbach-Regula, Gertraud; Wahli, Thomas
Source:
Preventive veterinary medicine 2017 v.145 pp. 32-40
ISSN:
0167-5877
Subject:
fish farms,   etc   ; Internet; aquaculture; data collection; disease surveillance; fish; fish diseases; models; necrosis; questionnaires; risk; risk ranking; septicemia; Switzerland;     Show all 14 Subjects
Abstract:
... A semi-quantitative model for risk ranking of aquaculture facilities in Switzerland with regard to the introduction and spread of Viral Haemorrhagic Septicaemia (VHS) and Infectious Haematopoietic Necrosis (IHN) was developed in a previous study (Diserens et al., 2013). The objective of the present study was to validate this model using data collected during field visits on aquaculture sites in fo ...
DOI:
10.1016/j.prevetmed.2017.06.010

3. Sampling pig farms at the abattoir in a cross-sectional study − Evaluation of a sampling method

Author:
Birkegård, Anna Camilla; Halasa, Tariq; Toft, Nils
Source:
Preventive veterinary medicine 2017 v.145 pp. 83-90
ISSN:
0167-5877
Subject:
large farms,   etc   ; antibiotic resistance; cost effectiveness; cross-sectional studies; data collection; experimental design; livestock and meat industry; meat inspection; planning; slaughter; slaughterhouses; swine;     Show all 12 Subjects
Abstract:
... A cross-sectional study design is relatively inexpensive, fast and easy to conduct when compared to other study designs. Careful planning is essential to obtaining a representative sample of the population, and the recommended approach is to use simple random sampling from an exhaustive list of units in the target population. This approach is rarely feasible in practice, and other sampling procedu ...
DOI:
10.1016/j.prevetmed.2017.07.002

4. Application of discrete choice experiment to assess farmers’ willingness to report swine diseases in the Red River Delta region, Vietnam

Author:
Pham, Hoa T.T.; Peyre, Marisa; Trinh, Tuyen Quang; Nguyen, Oanh Cong; Vu, Ton Dinh; Rukkwamsuk, Theera; Antoine-Moussiaux, Nicolas
Source:
Preventive veterinary medicine 2017 v.138 pp. 28-36
ISSN:
0167-5877
Subject:
farms,   etc   ; data collection; disease outbreaks; disease surveillance; farmers; issues and policy; logit analysis; river deltas; socioeconomic factors; swine; swine diseases; uncertainty; Vietnam;     Show all 13 Subjects
Abstract:
... A discrete choice experiment (DCE) is carried out to value socio-economic factors influencing the farmer’s decision to report swine diseases and to assess the willingness of farmers to report swine diseases. Data were collected between March and July 2015 in two provinces in the Red River Delta, Northern Vietnam, from 196 pig producers by face-to face interview. A conditional logit model is used t ...
DOI:
10.1016/j.prevetmed.2017.01.002

5. Risk factors associated with the different categories of piglet perinatal mortality in French farms

Author:
Pandolfi, F.; Edwards, S.A.; Robert, F.; Kyriazakis, I.
Source:
Preventive veterinary medicine 2017 v.137 pp. 1-12
ISSN:
0167-5877
Subject:
farms,   etc   ; acute course; correlation; crushing; data collection; death; farrowing; litter size; mortality; necropsy; piglets; principal component analysis; risk factors; sepsis (infection); sows; starvation; summer;     Show all 17 Subjects
Abstract:
... We aimed to identify mortality patterns and to establish risk factors associated with different categories of piglet perinatal mortality in French farms. At farm level, the analyses were performed on data from 146 farms that experienced perinatal mortality problems. At piglet level, the analyses were performed on data from 155 farms (7761 piglets). All data were collected over a period of 10 years ...
DOI:
10.1016/j.prevetmed.2016.12.005

6. The use of large databases to inform the development of an intestinal scoring system for the poultry industry

Author:
Kasab-Bachi, H.; Arruda, A.G.; Roberts, T.E.; Wilson, J.B.
Source:
Preventive veterinary medicine 2017 v.146 pp. 130-135
ISSN:
0167-5877
Subject:
farms,   etc   ; Nematoda; average daily gain; birds; data collection; databases; equations; feed conversion; flocks; gizzard; intestines; models; monitoring; mortality; mucus; necropsy; necrotic enteritis; poultry; poultry industry; poultry production; quantitative analysis; regression analysis; sustainable development; United Kingdom; United States;     Show all 25 Subjects
Abstract:
... There is increasing interest among the poultry industry to develop a comprehensive index that can be used to evaluate overall intestinal health and impact on production performance. The Intestinal Integrity (I2) index is a quantitative measurement tool used to assess the intestinal health of flocks that use the Health Tracking System (HTSi), a global surveillance system developed by Elanco Animal ...
DOI:
10.1016/j.prevetmed.2017.07.012

7. Benchmarking of pluck lesions at slaughter as a health monitoring tool for pigs slaughtered at 170kg (heavy pigs)

Author:
Scollo, Annalisa; Gottardo, Flaviana; Contiero, Barbara; Mazzoni, Claudio; Leneveu, Philippe; Edwards, Sandra A.
Source:
Preventive veterinary medicine 2017 v.144 pp. 20-28
ISSN:
0167-5877
Subject:
commercial farms,   etc   ; abscess; autumn; body weight; data collection; epidemiological studies; herd health; herds; liver; lungs; meat inspection; monitoring; pleura; seasonal variation; slaughter; slaughterhouses; statistical analysis; swine; swine production; veterinarians; Italy;     Show all 21 Subjects
Abstract:
... Abattoir post-mortem inspections offer a useful tool for the development and monitoring of animal health plans and a source of data for epidemiological investigation. The aim of the present work was to develop an abattoir benchmarking system which provides feedback on the prevalence and severity of lesions of the pluck (lung, pleura and liver) in batches of pigs to inform individual producers and ...
DOI:
10.1016/j.prevetmed.2017.05.007

8. On-farm mortality, causes and risk factors in Estonian beef cow-calf herds

Author:
Mõtus, Kerli; Reimus, Kaari; Orro, Toomas; Viltrop, Arvo; Emanuelson, Ulf
Source:
Preventive veterinary medicine 2017 v.139 pp. 10-19
ISSN:
0167-5877
Subject:
farms,   etc   ; Hereford; accidents; animal age; animal health; animal performance; beef; beef cows; bulls; calves; calving; cohort studies; cow-calf operations; dairy breeds; data collection; death; digestive system diseases; euthanasia; farmers; heifers; herd size; models; mortality; risk factors; Estonia;     Show all 25 Subjects
Abstract:
... High on-farm mortality is associated with lower financial return of production and poor animal health and welfare. Understanding the reasons for on-farm mortality and related risk factors allows focus on specific prevention measures. This retrospective cohort study used cattle registry data from the years 2013 and 2014, collected from cattle from all Estonian cow-calf beef herds. The dataset conta ...
DOI:
10.1016/j.prevetmed.2016.10.014