Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface.

Fox LC, Miller WC, Gesink D, Doherty I, Hampton KH, Leone PA, Williams DE, Akita Y, Dunn M, Serre ML.

Open source

DOI: 10.1371/journal.pgph.0001714
Published: 2023-05-04
Container: PLOS Glob Public Health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pgph.0001714,
  title = {Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface.},
  author = {Fox LC and  Miller WC and  Gesink D and  Doherty I and  Hampton KH and  Leone PA and  Williams DE and  Akita Y and  Dunn M and  Serre ML.},
  year = {2023},
  journal = {PLOS Glob Public Health},
  doi = {10.1371/journal.pgph.0001714},
  url = {https://doi.org/10.1371/journal.pgph.0001714}
}

RIS

TY  - JOUR
TI  - Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface.
AU  - Fox LC
AU  -  Miller WC
AU  -  Gesink D
AU  -  Doherty I
AU  -  Hampton KH
AU  -  Leone PA
AU  -  Williams DE
AU  -  Akita Y
AU  -  Dunn M
AU  -  Serre ML.
PY  - 2023
JO  - PLOS Glob Public Health
DO  - 10.1371/journal.pgph.0001714
UR  - https://doi.org/10.1371/journal.pgph.0001714
ER  -

APA

LC, F., WC, M., D, G., I, D., KH, H., PA, L., DE, W., Y, A., M, D., & ML., S. (2023). Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface.. PLOS Glob Public Health. https://doi.org/10.1371/journal.pgph.0001714

Source records

europe-pmc · retrieved 2026-09-26T18:48:10.843Z
doaj · retrieved 2026-09-26T18:48:10.831Z