Driving Adoption and Commercialization of Subunit Vaccines for Bovine Tuberculosis and Johne’s Disease: Policy Choices and Implications for Food Security
Bibliographic record
Abstract
, have been a challenge to the livestock industry globally, impacting negatively on animal, human and environmental health, and overall food security. Despite several industry-led and government initiatives and programs aimed at preventing and reducing losses associated with JD and bTB outbreaks, JD has remained endemic in many parts of the world while there have been incidental outbreaks of bTB. While several studies focus on sustainable intensification of food (crop) production as a critical solution to food insecurity, following the existential interconnection between animals, humans and the environment recognized by one health, we frame food security through the lens of animal disease prevention and control, given the importance of livestock products to human health and livelihood. Vaccination has been a popular strategy successfully used in controlling other infectious diseases. The paper focuses on an alternate strategy of two subunit vaccines with companion diagnostics targeted at individual pathogens to attain satisfactory immunological responses for JD and bTB. We examine gaps in vaccine policies, commercialization, and potential strategies that would strengthen animal disease prevention and enhance food security. The potential of public-private partnership in strengthening private sector participation in effective animal disease control and health delivery and the implications for global food security are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".