Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.

Taylor-Robinson AW

DOI: 10.3389/fmicb.2023.1284838
Published: 2023
Container: Frontiers in microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2023.1284838,
  title = {Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.},
  author = {Taylor-Robinson AW},
  year = {2023},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2023.1284838},
  url = {https://doi.org/10.3389/fmicb.2023.1284838}
}

RIS

TY  - JOUR
TI  - Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.
AU  - Taylor-Robinson AW
PY  - 2023
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2023.1284838
UR  - https://doi.org/10.3389/fmicb.2023.1284838
ER  -

APA

AW, T. (2023). Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2023.1284838

Source records

pubmed · retrieved 2026-11-10T09:48:45.515Z