Post-Weaning Diarrhea in Piglets: Causes, Risk Factors, and Management Strategies
Bibliographic record
Abstract
Post-weaning diarrhea (PWD) is a major health concern in pig farming, often leading to significant economic losses. This review explores the underlying causes and risk factors associated with PWD in piglets and discusses comprehensive, antibiotic-free strategies for its prevention and control. It further highlights recent findings, prevalence data, diagnostic methods, epidemiological patterns, and management models. Emphasis is placed on environmental, nutritional, and biosecurity interventions aimed at improving piglet resilience during the weaning transition. This vulnerability predisposes piglets to gastrointestinal disorders, especially post-weaning diarrhea (PWD), which remains a leading cause of morbidity, mortality, and economic loss worldwide. Enterotoxigenic Escherichia coli (ETEC) infection induced Postweaning diarrhea is one of the leading causes of morbidity and mortality in newly weaned piglets. The main virulence attributes of ETEC are adhesins and enterotoxins, which are mostly regulated on large plasmids. Prevalence found is less than 50% in Australia, Danish, Korea, South Ontario but no prevalence in Africa. According to antibiotic resistance, the researchers experimented, discussed and concluded that the effect of diet transitions, reducing protein levels, digestible fiber support, using probiotics, association organic acid with monogycerid or fatt could contribute or reduce the effects of post weaning diarrhea in piglet. Future research should refine diagnostics, monitor pathogen strains, and quantify long-term impacts of combined interventions via meta-analyses and longitudinal studies.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".