Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study.

Herbuela VRDM, Karita T, Carvajal TM, Ho HT, Lorena JMO, Regalado RA, Sobrepeña GD, Watanabe K

Open source

DOI
10.2196/19034
Published
2021 Mar 1
Container
JMIR public health and surveillance
Publisher
Not recorded
Open access
yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.2196/19034,
  title = {Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study.},
  author = {Herbuela VRDM and Karita T and Carvajal TM and Ho HT and Lorena JMO and Regalado RA and Sobrepeña GD and Watanabe K},
  year = {2021},
  journal = {JMIR public health and surveillance},
  doi = {10.2196/19034},
  url = {https://doi.org/10.2196/19034}
}

RIS

TY  - JOUR
TI  - Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study.
AU  - Herbuela VRDM
AU  - Karita T
AU  - Carvajal TM
AU  - Ho HT
AU  - Lorena JMO
AU  - Regalado RA
AU  - Sobrepeña GD
AU  - Watanabe K
PY  - 2021
JO  - JMIR public health and surveillance
DO  - 10.2196/19034
UR  - https://doi.org/10.2196/19034
ER  - 

APA

VRDM, H., T, K., TM, C., HT, H., JMO, L., RA, R., GD, S., & K, W. (2021). Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study.. JMIR public health and surveillance. https://doi.org/10.2196/19034

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