The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Global trends in infectious diseases of swine
Open accessAbstract
Pork accounts for more than one-third of meat produced worldwide and is an important component of global food security, agricultural economies, and trade. Infectious diseases are among the primary constraints to swine production, and the globalization of the swine industry has contributed to the emergence and spread of pathogens. Despite the importance of infectious diseases to animal health and the stability and productivity of the global swine industry, pathogens of swine have never been reviewed at a global scale. Here, we build a holistic global picture of research on swine pathogens to enhance preparedness and understand patterns of emergence and spread. By conducting a scoping review of more than 57,000 publications across 50 years, we identify priority pathogens globally and regionally, and characterize geographic and temporal trends in research priorities. Of the 40 identified pathogens, publication rates for eight pathogens increased faster than overall trends, suggesting that these pathogens may be emerging or constitute an increasing threat. We also compared regional patterns of pathogen prioritization in the context of policy differences, history of outbreaks, and differing swine health challenges faced in regions where swine production has become more industrialized. We documented a general increasing trend in importance of zoonotic pathogens and show that structural changes in the industry related to intensive swine production shift pathogen prioritization. Multinational collaboration networks were strongly shaped by region, colonial ties, and pig trade networks. This review represents the most comprehensive overview of research on swine infectious diseases to date.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic
Smith, G. J. D., Vijaykrishna, D., Bahl, J., Lycett, S. J., Worobey, M., Pybus, O. G., Ma, S. K., Cheung, C. L., Raghwani, J., Bhatt, S., et al. (2009) · Nature · doi:10.1038/nature08182 · Cited by 2,243
Kahn, C. M., & Line, S. (2005) · Medical Entomology and Zoology · Cited by 992
World agriculture: towards 2015/2030: an FAO perspective
Thomson, K. J. (2003) · Land Use Policy · doi:10.1016/s0264-8377(03)00047-4 · Cited by 868
Analysing Scientific Networks Through Co-Authorship
Glänzel, W., & Schubert, A. (2006) · Handbook of Quantitative Science and Technology Research · doi:10.1007/1-4020-2755-9_12 · Cited by 818
Maron, D. F., Smith, T. J., & Nachman, K. E. (2013) · Globalization and Health · doi:10.1186/1744-8603-9-48 · Cited by 481
(AHAW), E. P. O. A. H. A. W. (2015) · EFSA Journal · doi:10.2903/j.efsa.2015.4163 · Cited by 143
The application of statistical network models in disease research
Silk, M. J., Croft, D. P., Delahay, R. J., Hodgson, D. J., Weber, N. L., Boots, M., & McDonald, R. A. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12770 · Cited by 107
Intensive Swine Production and Pork Safety
Davies, P. R. (2010) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2010.0717 · Cited by 102
Cited by
Petit, P., Chamot, S., Al-Salameh, A., Cancé, C., Desailloud, R., & Bonneterre, V. (2024) · Environmental Research · doi:10.1016/j.envres.2024.118458 · Cited by 8
Metadata
- Authors
- VanderWaal, K., & Deen, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-10-22
- Volume
- 115
- Issue
- 45
- Pages
- 11495-11500
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2896801517
- Cited by
- 328
- References
- 16
- FWCI
- 32.12
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global trends in infectious diseases of swine. https://app.cochat.ai/papers/10.1073/pnas.1806068115
- The paper
- VanderWaal, K., & Deen, J. (2018). Global trends in infectious diseases of swine. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1806068115
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.