Catalina González-Uribe, Nicolás Yañez, Alf Onshuus Niño, Nubia Velasco, Juan M. Cordovez, Mauricio Santos-Vega, Natalia Niño-Machado, Andres Burbano, Angus Forbes, Ciro-Alberto Amaya Guio, Simon Turner, Diana Higuera-Mendieta, Sandra Martínez-Cabezas. A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV. F1000Research, 11:691, 2022. [doi]
@article{GonzalezUribeYNVCSNBFGTHM22,
title = {A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV},
author = {Catalina González-Uribe and Nicolás Yañez and Alf Onshuus Niño and Nubia Velasco and Juan M. Cordovez and Mauricio Santos-Vega and Natalia Niño-Machado and Andres Burbano and Angus Forbes and Ciro-Alberto Amaya Guio and Simon Turner and Diana Higuera-Mendieta and Sandra Martínez-Cabezas},
year = {2022},
doi = {10.12688/f1000research.110958.1},
url = {https://doi.org/10.12688/f1000research.110958.1},
researchr = {https://researchr.org/publication/GonzalezUribeYNVCSNBFGTHM22},
cites = {0},
citedby = {0},
journal = {F1000Research},
volume = {11},
pages = {691},
}