Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis

Maureen W. Kamau, Carmel Witte, Wynand Goosen, Mathew Mutinda, Jandouwe Villinger, Dennis Getange, Rua Khogali, Michael E. von Fricken, Eric Maurice Fèvre, Dawn Zimmerman, Yvonne-Marie Linton, Michele Miller

Open source

DOI
10.3389/fvets.2024.1396714
Published
2024-06-19
Container
Frontiers in Veterinary Science
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fvets.2024.1396714,
  title = {Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis},
  author = {Maureen W. Kamau and Carmel Witte and Wynand Goosen and Mathew Mutinda and Jandouwe Villinger and Dennis Getange and Rua Khogali and Michael E. von Fricken and Eric Maurice Fèvre and Dawn Zimmerman and Yvonne-Marie Linton and Michele Miller},
  year = {2024},
  journal = {Frontiers in Veterinary Science},
  doi = {10.3389/fvets.2024.1396714},
  url = {https://doi.org/10.3389/fvets.2024.1396714}
}

RIS

TY  - JOUR
TI  - Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis
AU  - Maureen W. Kamau
AU  - Carmel Witte
AU  - Wynand Goosen
AU  - Mathew Mutinda
AU  - Jandouwe Villinger
AU  - Dennis Getange
AU  - Rua Khogali
AU  - Michael E. von Fricken
AU  - Eric Maurice Fèvre
AU  - Dawn Zimmerman
AU  - Yvonne-Marie Linton
AU  - Michele Miller
PY  - 2024
JO  - Frontiers in Veterinary Science
DO  - 10.3389/fvets.2024.1396714
UR  - https://doi.org/10.3389/fvets.2024.1396714
ER  - 

APA

Kamau, M. W., Witte, C., Goosen, W., Mutinda, M., Villinger, J., Getange, D., Khogali, R., Fricken, M. E. V., Fèvre, E. M., Zimmerman, D., Linton, Y., & Miller, M. (2024). Comparison of test performance of a conventional PCR and two field-friendly tests to detect Coxiella burnetii DNA in ticks using Bayesian latent class analysis. Frontiers in Veterinary Science. https://doi.org/10.3389/fvets.2024.1396714

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