Bibliographic record
Abstract
Outbreaks of infectious animal diseases represent a major threat to agriculture and can impose significant social and economic costs. The potential for devastating epidemics, such as the recent outbreaks of highly pathogenic avian influenza (HPAI) in Asia, Europe, and Africa, has prompted major global investments in animal disease prevention and control, both public and private. However, there has been little research into the effects of alternative public policies on farm‐level actions to prevent and control HPAI and the implications for disease impacts. Animal disease management involves both ex ante investments to reduce the probability of infection and ex post actions to contain the spread of disease once introduced. The public sector can play an important part in disease mitigation through provision of public disease prevention and control. Another vital role for government in mitigating the potential impacts of HPAI is in the development of well‐designed policies to induce socially optimal ex ante private investment while providing incentives for truthful disclosure of disease status. This study employs an economic epidemiology framework to examine the effects of farmer behavior on disease introduction and transmission and to analyze the effects of public policy decisions under alternative scenarios. Les éclosions de maladies animales infectieuses représentent une menace importante pour l’agriculture et peuvent entraîner des coûts socio‐économiques considérables. L’éventualité d’épidémies dévastatrices, telles que les récentes flambées d’influenza aviaire hautement pathogène (IAHP) en Asie, en Europe et en Afrique, a suscité d’importants investissements publics et privés à l’échelle mondiale pour prévenir et lutter contre ces maladies. Cependant, peu de recherches se sont penchées sur les effets des politiques publiques de rechange sur les mesures prises à la ferme pour prévenir et lutter contre l’IAHP et les répercussions des maladies. La gestion des maladies animales nécessite des investissements ex ante pour diminuer la probabilité d’infection et des mesures ex poste pour contenir la propagation d’une maladie une fois introduite. Le secteur public peut jouer un rôle important dans l’atténuation d’une maladie en instaurant des programmes publics de prévention et de lutte. Pour atténuer les conséquences potentielles de l’IAHP, le gouvernement peut élaborer des politiques efficaces pour inciter des investissements privés ex ante socialement optimaux tout en offrant des stimulants pour encourager la divulgation véridique de la situation zoosanitaire. Dans la présente étude, nous avons utilisé un cadre épidémiologique et économique pour examiner les conséquences du comportement de l’exploitant agricole sur l’introduction et la transmission des maladies et pour analyser les conséquences des décisions de politique publique selon divers scénarios.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".