ArticlePloS one2017
Land altitude, slope, and coverage as risk factors for Porcine Reproductive and Respiratory Syndrome (PRRS) outbreaks in the United States.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 41 citations in OpenAlex.
- Combining Load-Close-Homogenize with Testing, Removal, and Rollover Strategies to Repopulate PRRSV Elimination Breeding Herds Using PRRSV-Positive Weaned Gilts.Veterinary sciences · 2025Article
- Epidemiological analysis of porcine reproductive and respiratory syndrome viruses in 2020-2023 in China and the impact of serum acclimatization on production performance of sows farm.Frontiers in veterinary science · 2025Article
- Assessment of porcine reproductive and respiratory syndrome virus (PRRSV) farm surface contamination through environmental sampling.Porcine health management · 2024Article
- Prevalence, Time of Infection, and Diversity of Porcine Reproductive and Respiratory Syndrome Virus in China.Viruses · 2024Article
- Description of swine producer biosecurity planning for foreign animal disease preparedness using the Secure Pork Supply framework.Frontiers in veterinary science · 2024Article
- Unveiling invisible farm-to-farm PRRSV-2 transmission links and routes through transmission tree and network analysis.Evolutionary applications · 2023Article
- Article
- Time Farms Stay Naïve for Porcine Reproductive and Respiratory Syndrome.Animals : an open access journal from MDPI · 2023Article
- Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States.Frontiers in veterinary science · 2023Article
- A discrete-time survival model for porcine epidemic diarrhoea virus.Transboundary and emerging diseases · 2022Article
- Phylodynamic and phylogeographic reconstruction of porcine reproductive and respiratory syndrome virus (PRRSV) in Europe: Patterns and determinants.Transboundary and emerging diseases · 2022Article
- Article
- An assessment of enhanced biosecurity interventions and their impact on porcine reproductive and respiratory syndrome virus outbreaks within a managed group of farrow-to-wean farms, 2020-2021.Frontiers in veterinary science · 2022Article
- Article
- Prevalence of porcine respiratory pathogens in slaughterhouses in Shanxi Province, China.Veterinary medicine and science · 2021Article
- Integrating animal movements with phylogeography to model the spread of PRRSV in the USA.Virus evolution · 2021Article
- Review
- Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods.Scientific reports · 2019Article
- Phylogeographic investigation of 2014 porcine epidemic diarrhea virus (PEDV) transmission in Taiwan.PloS one · 2019Article
- Predicting vaccine effectiveness in livestock populations: A theoretical framework applied to PRRS virus infections in pigs.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Porcine reproductive and respiratory syndrome (PRRS) is, arguably, the most impactful disease on the North American swine industry. The Swine Health Monitoring Project (SHMP) is a national volunteer initiative aimed at monitoring incidence and, ultimately, supporting swine disease control, including PRRS. Data collected through the SHMP currently represents approximately 42% of the sow population of the United States. The objective of the study here was to investigate the association between geographical factors (including land elevation, and land coverage) and PRRS incidence as recorded in the SHMP. Weekly PRRS status data from sites participating in the SHMP from 2009 to 2016 (n = 706) was assessed. Number of PRRS outbreaks, years of participation in the SHMP, and site location were collected from the SHMP database. Environmental features hypothesized to influence PRRS risk included land coverage (cultivated areas, shrubs and trees), land altitude (in meters above sea level) and land slope (in degrees compared to surrounding areas). Other risk factors considered included region, production system to which the site belonged, herd size, and swine density in the area in which the site was located. Land-related variables and pig density were captured in raster format from a number of sources and extracted to points (farm locations). A mixed-effects Poisson regression model was built; and dependence among sites that belonged to a given production system was accounted for using a random effect at the system level. The annual mean and median number of outbreaks per farm was 1.38 (SD: 1.6), and 1 (IQR: 2.0), respectively. The maximum annual number of outbreaks per farm was 9, and approximately 40% of the farms did not report any outbreak. Results from the final multivariable model suggested that increments of swine density and herd size increased the risk for PRRS outbreaks (P < 0.01). Even though altitude (meters above sea level) was not significant in the final model, farms located in terrains with a slope of 9% or higher had lower rates of PRRS outbreaks compared to farms located in terrains with slopes lower than 2% (P < 0.01). Finally, being located in an area of shrubs/ herbaceous cover and trees lowered the incidence rate of PRRS outbreaks compared to being located in cultivated/ managed areas (P < 0.05). In conclusion, highly inclined terrains were associated with fewer PRRS outbreaks in US sow farms, as was the presence of shrubs and trees when compared to cultivated/ managed areas. Influence of terrain characteristics on spread of airborne diseases, such as PRRS, may help to predicting disease risk, and effective planning of measures intended to mitigate and prevent risk of infection.
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