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 [version 1; peer review: 1 approved, 2 approved with reservations]

Background: Artificial Intelligence (AI) and data science research are promising tools to better inform public policy and public health responses, promoting automation and affordability. During the COVID-19 pandemic, AI has been an aid to forecast outbreak spread globally. The overall aim of the stu...

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Principais autores:	Simon Turner, Ciro Alberto Amaya Guio, Sandra Martínez-Cabezas, Diana Higuera-Mendieta, Mauricio Santos-Vega, Juan Manuel Cordovez, Andres Burbano, Natalia Niño-Machado, Nicolás Yañez, Catalina González-Uribe, Nubia Velasco, Alf Onshuus Niño, Angus Forbes
Format:	Artigo
Jezik:	Inglês
Izdano:	F1000 Research Ltd 2022-06-01
Serija:	F1000Research
Teme:	COVID-19 artificial intelligence decision-making data science eng
Online dostop:	https://f1000research.com/articles/11-691/v1
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