Forecasting of infectious disease epidemics in sexual networks using attenuated renewal processes
- DOI
- 10.1371/journal.pcbi.1013987
- Published
- 2026-10-13
- Container
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1013987,
title = {Forecasting of infectious disease epidemics in sexual networks using attenuated renewal processes},
author = {William D. Green and Christopher E. Overton and Thomas Ward and Ciara V. McCarthy and Sebastian Funk},
year = {2026},
journal = {PLOS Computational Biology},
doi = {10.1371/journal.pcbi.1013987},
url = {https://doi.org/10.1371/journal.pcbi.1013987}
}RIS
TY - JOUR TI - Forecasting of infectious disease epidemics in sexual networks using attenuated renewal processes AU - William D. Green AU - Christopher E. Overton AU - Thomas Ward AU - Ciara V. McCarthy AU - Sebastian Funk PY - 2026 JO - PLOS Computational Biology DO - 10.1371/journal.pcbi.1013987 UR - https://doi.org/10.1371/journal.pcbi.1013987 ER -
APA
Green, W. D., Overton, C. E., Ward, T., McCarthy, C. V., & Funk, S. (2026). Forecasting of infectious disease epidemics in sexual networks using attenuated renewal processes. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1013987
Source records
- crossref · retrieved 2026-11-10T14:03:18.992Z