Key Learnings During the Development of a Generic Data Collection Tool to Support Assessment of Freedom of Infection in Cattle Herds

Roon, A.M. van; Rapaliutė, Eglė; Koleci, Xhelil; Muñoz, Violeta; Mercat, Mathilde; Faverjon, Céline; Santman-Berends, I.M.G.A.; Nielen, M.; More, Simon J.; Graham, D. A.; Guelbenzu-Gonzalo, Maria; Madouasse, Aurélien; Fourichon, Christine; Schaik, G. van

doi:10.3389/fvets.2021.656336

Cited by 2 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was then tested and validated using French data with bulk milk BVDV test results and risk factors related to the number of cattle introduced. The specifics of the model development and the results of the French case were published (Madouasse et al, 2021). The final code of the model is freely available as an R package on https://github.com/AurMad/STOCfree .…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of the confidence in freedom from infection based on different control programmes between EU member states: STOC free

Schaik

Madouasse

Roon

et al. 2022

EFSA Supporting Publications

View full text Add to dashboard Cite

The STOC free project constructed a generic framework that allows a standardised and harmonised description of different control programmes (CP) for cattle diseases. The STOC free model can be used to determine the confidence of freedom from infection that has been achieved in disease CPs, in support of an ongoing assessment of progress towards output‐based standards as outlined in the EU Animal Health Law. With this information, and as required, further CP actions can be taken to mitigate the risks of persistence and (re‐)introduction on the probability of freedom from infection. Bovine viral diarrhoea virus (BVDV) was chosen as the case disease because of the diversity in CPs in the six participating countries. A Bayesian hidden Markov model was considered the best modelling method. Detailed BVDV CP information was collected in the participating countries and the key aspects for inclusion in the STOC free model were identified. A first version of STOC free model was developed and tested on simulated data. The risk factors for BVDV infection that needed to be included in the model were defined and default values for these risk factors were quantified. A data collection tool was finalised with which the data for the STOC free model was collected. Subsequently, the developed model was tested and validated using real BVDV CP data from partner countries. Based on the feedback, the model was finalised and the report and corresponding computer code were made publicly available. There were roughly three different BVDV situations that occurred in the partner countries: 1. Endemic situation with a CP operating at herd level, 2. Endemic situation with a CP operating at animal level and 3. BVD free situation. The STOC free model is able to include herd level data only and animal level data has to be aggregated to herd level before the model can be applied. The STOC free model is not applicable for a country that is completely BVDV free given that it needs some infections to estimate its parameters and converge. In the latter situation, a scenario tree model could be a better suited tool, and this was evaluated in the Swedish case study. Further work is needed for generalisation of the method to other diseases and expansion of the method to include socioeconomic aspects of CPs.

show abstract

Section: Resultsmentioning

confidence: 99%

“…The data collection tool with the data quality evaluation tool were made available online through Limesurvey (Van Roon et al, 2021;Rapaliute et al, 2021).…”

Section: Data Collectionmentioning

confidence: 99%

Comparison of the confidence in freedom from infection based on different control programmes between EU member states: STOC free

Schaik

Madouasse

Roon

et al. 2022

EFSA Supporting Publications

View full text Add to dashboard Cite

show abstract

“…A thorough description of the online data collection tool, including its development, key lessons learned during the process, and definitions of the variables, can be found in van Roon et al ( 24 ). The online data collection tool was designed using LimeSurvey software ( 25 ).…”

Section: Methodsmentioning

confidence: 99%

“…The only mandatory question was about the existence of data. Data quality was evaluated using the “Data quality evaluation tool” presented in van Roon et al ( 24 ), which included four criteria ( Figure 1 B):…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Existence and Quality of Data on Control Programs for EU Non-regulated Cattle Diseases: Consequences for Estimation and Comparison of the Probability of Freedom From Infection

et al. 2021

Self Cite

View full text Add to dashboard Cite

Some European countries have successfully implemented country-specific control programs (CPs) for infectious cattle diseases that are not regulated or are regulated only to a limited extent at the European Union (EU) level. Examples of such diseases include bovine viral diarrhea (BVD), infectious bovine rhinotracheitis (IBR), and Johne's disease (JD). The CPs vary between countries in the design and quality of collected data as well as methods used to detect infection and estimate prevalence or probability of freedom from infection. Differences in disease status between countries and non-standardized approaches to assess freedom from infection pose a risk for countries with CPs for non-regulated diseases as infected animals may influence the progress of the disease control or eradication program. The implementation of output-based standards allows estimation and comparison of the probability of freedom for non-regulated cattle diseases in European countries. The aim of the current study was to assess the existence and quality of data that could be used for estimating freedom from infection in European countries. The online data collection tool was sent to 32 countries participating in the SOUND control COST Action and was completed by 24 countries. Data on cattle demographics and data from CPs of IBR and BVD exist in more than 50% of the response countries. However, data describing risk factors and CP of JD was reported as existing in <25% of the countries. The overall quality of data in the sections on demographics and CPs of IBR and BVD were evaluated as “good”, but risk factors and JD data were mostly evaluated as “fair.” Data quality was considered less good mainly due to two quality criteria: accessibility and accuracy. The results of this study show that the quantity and quality of data about cattle populations and CPs are relatively similar in many surveyed countries. The outcome of this work provides an overview of the current situation in the European countries regarding data on EU non-regulated cattle diseases and will further assist in the development and implementation of output-based standards.

show abstract

Key Learnings During the Development of a Generic Data Collection Tool to Support Assessment of Freedom of Infection in Cattle Herds

Cited by 2 publications

References 13 publications

Comparison of the confidence in freedom from infection based on different control programmes between EU member states: STOC free

Comparison of the confidence in freedom from infection based on different control programmes between EU member states: STOC free

Existence and Quality of Data on Control Programs for EU Non-regulated Cattle Diseases: Consequences for Estimation and Comparison of the Probability of Freedom From Infection

Contact Info

Product

Resources

About