Time series analysis of rhythmic bacterial resistance development to antibiotics.
Publication
, Journal Article
Nicolelis, MA; Baccala, LA
Published in: Comput Biomed Res
April 1988
The sensitivity data of Staphylococcus aureus and Escherichia coli to a large set of antibiotics have undergone time series procedures of analysis in order to highlight possibly periodical behavior in time. These oscillational patterns have been characterized through the use of FFT and cross-correlational and variance analysis and were proved to be species-specific and drug-independent. S. aureus was shown to have a large period of oscillation (40 months) when compared to E. coli (from 7 to 11 months). A perfect species distinction was only possible through cross correlation. These results may reflect the influence of the local environment, since this finding was not referred to in the literature.
Duke Scholars
Published In
Comput Biomed Res
DOI
ISSN
0010-4809
Publication Date
April 1988
Volume
21
Issue
2
Start / End Page
137 / 157
Location
United States
Related Subject Headings
- Time Factors
- Staphylococcus aureus
- Periodicity
- Medical Informatics
- Fourier Analysis
- Escherichia coli
- Drug Resistance, Microbial
- Data Interpretation, Statistical
- Biomedical Engineering
- Analysis of Variance
Citation
APA
Chicago
ICMJE
MLA
NLM
Nicolelis, M. A., & Baccala, L. A. (1988). Time series analysis of rhythmic bacterial resistance development to antibiotics. Comput Biomed Res, 21(2), 137–157. https://doi.org/10.1016/0010-4809(88)90022-5
Nicolelis, M. A., and L. A. Baccala. “Time series analysis of rhythmic bacterial resistance development to antibiotics.” Comput Biomed Res 21, no. 2 (April 1988): 137–57. https://doi.org/10.1016/0010-4809(88)90022-5.
Nicolelis MA, Baccala LA. Time series analysis of rhythmic bacterial resistance development to antibiotics. Comput Biomed Res. 1988 Apr;21(2):137–57.
Nicolelis, M. A., and L. A. Baccala. “Time series analysis of rhythmic bacterial resistance development to antibiotics.” Comput Biomed Res, vol. 21, no. 2, Apr. 1988, pp. 137–57. Pubmed, doi:10.1016/0010-4809(88)90022-5.
Nicolelis MA, Baccala LA. Time series analysis of rhythmic bacterial resistance development to antibiotics. Comput Biomed Res. 1988 Apr;21(2):137–157.
Published In
Comput Biomed Res
DOI
ISSN
0010-4809
Publication Date
April 1988
Volume
21
Issue
2
Start / End Page
137 / 157
Location
United States
Related Subject Headings
- Time Factors
- Staphylococcus aureus
- Periodicity
- Medical Informatics
- Fourier Analysis
- Escherichia coli
- Drug Resistance, Microbial
- Data Interpretation, Statistical
- Biomedical Engineering
- Analysis of Variance