Understanding West Nile virus transmission: Mathematical modelling to quantify the most critical parameters to predict infection dynamics.
- DOI
- 10.1371/journal.pntd.0010252
- Published
- 2023 May
- Container
- PLoS neglected tropical diseases
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pntd.0010252,
title = {Understanding West Nile virus transmission: Mathematical modelling to quantify the most critical parameters to predict infection dynamics.},
author = {Fesce E and Marini G and Rosà R and Lelli D and Cerioli MP and Chiari M and Farioli M and Ferrari N},
year = {2023},
journal = {PLoS neglected tropical diseases},
doi = {10.1371/journal.pntd.0010252},
url = {https://doi.org/10.1371/journal.pntd.0010252}
}RIS
TY - JOUR TI - Understanding West Nile virus transmission: Mathematical modelling to quantify the most critical parameters to predict infection dynamics. AU - Fesce E AU - Marini G AU - Rosà R AU - Lelli D AU - Cerioli MP AU - Chiari M AU - Farioli M AU - Ferrari N PY - 2023 JO - PLoS neglected tropical diseases DO - 10.1371/journal.pntd.0010252 UR - https://doi.org/10.1371/journal.pntd.0010252 ER -
APA
E, F., G, M., R, R., D, L., MP, C., M, C., M, F., & N, F. (2023). Understanding West Nile virus transmission: Mathematical modelling to quantify the most critical parameters to predict infection dynamics.. PLoS neglected tropical diseases. https://doi.org/10.1371/journal.pntd.0010252
Source records
- pubmed · retrieved 2026-09-25T15:25:45.499Z