Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: Evidence using Natsal-3

  • Samik Datta,
  • Catherine H. Mercer,
  • Matt J. Keeling

S1 Table is uploaded incorrectly. Please view the correct S1 Table below.

Supporting information

S1 Table. Mixing matrices.

The attached Excel file contains sheets with all the data needed to recreate the sexual mixing patterns presented in this article. The sheets show, in order: (1) female age mixing matrix, (2) male age mixing matrix, (3) female partnership formation rate percentiles with age if virgin, (4) female partnership formation rate percentiles with age without condom (no longer virgin), (5) male partnership formation rate percentiles with age if virgin, (6) male partnership formation rate percentiles with age without condom (no longer virgin, (7) MSM partnership formation rate percentiles with age, (8) MSM probability of female partner with age.

https://doi.org/10.1371/journal.pone.0315237.s001

(XLSX)

Reference

  1. 1. Datta S, Mercer CH, Keeling MJ (2018) Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: Evidence using Natsal-3. PLOS ONE 13(11): e0206501. https://doi.org/10.1371/journal.pone.0206501 pmid:30383793

Citation: Datta S, Mercer CH, Keeling MJ (2024) Correction: Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: Evidence using Natsal-3. PLoS ONE 19(12): e0315237. https://doi.org/10.1371/journal.pone.0315237

Published: December 4, 2024

Copyright: © 2024 Datta et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.