↓ Skip to main content

PLOS

Comparability of Results from Pair and Classical Model Formulations for Different Sexually Transmitted Infections

Overview of attention for article published in PLOS ONE, June 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
27 Mendeley
Title
Comparability of Results from Pair and Classical Model Formulations for Different Sexually Transmitted Infections
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039575
Pubmed ID
Authors

Jimmy Boon Som Ong, Xiuju Fu, Gary Kee Khoon Lee, Mark I-Cheng Chen

Abstract

The "classical model" for sexually transmitted infections treats partnerships as instantaneous events summarized by partner change rates, while individual-based and pair models explicitly account for time within partnerships and gaps between partnerships. We compared predictions from the classical and pair models over a range of partnership and gap combinations. While the former predicted similar or marginally higher prevalence at the shortest partnership lengths, the latter predicted self-sustaining transmission for gonorrhoea (GC) and Chlamydia (CT) over much broader partnership and gap combinations. Predictions on the critical level of condom use (C(c)) required to prevent transmission also differed substantially when using the same parameters. When calibrated to give the same disease prevalence as the pair model by adjusting the infectious duration for GC and CT, and by adjusting transmission probabilities for HIV, the classical model then predicted much higher C(c) values for GC and CT, while C(c) predictions for HIV were fairly close. In conclusion, the two approaches give different predictions over potentially important combinations of partnership and gap lengths. Assuming that it is more correct to explicitly model partnerships and gaps, then pair or individual-based models may be needed for GC and CT since model calibration does not resolve the differences.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 37%
Student > Ph. D. Student 6 22%
Professor > Associate Professor 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 3 11%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 15%
Mathematics 4 15%
Medicine and Dentistry 4 15%
Social Sciences 2 7%
Computer Science 2 7%
Other 4 15%
Unknown 7 26%