Proof of concept of a method that assesses the spread of microbial infections with spatially explicit and non-spatially explicit data
2008

Assessing the Spread of Microbial Infections Using Spatial Data

Sample size: 1126 publication Evidence: moderate

Author Information

Author(s): Ariel L. Rivas, Kevin L. Anderson, Roberta Lyman, Stephen D. Smith, Steven J. Schwager

Primary Institution: North Carolina State University

Hypothesis

Do all infections associated with the same microbial species possess similar spread ability?

Conclusion

The study found that certain microbial genotypes spread spatially more than others, indicating that not all infections have the same ability to disseminate.

Supporting Evidence

  • Three genotypes explained 12 times more isolates than expected.
  • Construct and internal validity were supported by the findings.
  • Spatial analysis may enhance disease surveillance systems.

Takeaway

Some germs spread faster and further than others, which can help us understand how to stop infections better.

Methodology

The study analyzed 113 Staphylococcus aureus genotypes from 1126 bovine milk isolates collected over 18 years across 23 farms, using spatial and non-spatial measures to assess microbial spread.

Potential Biases

Potential biases due to repeated testing of the same cows were noted.

Limitations

The study was based on a single dataset, limiting generalizability.

Participant Demographics

Bovine milk isolates from 23 dairy farms in North Carolina, collected between 1988 and 2005.

Statistical Information

P-Value

p<0.02

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1476-072X-7-58

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