Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Maíra Fedatto

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Journal of Pediatric Surgery|December 3, 2021
Building towards equitable access to safe surgery for every childDavid Cunningham, Maíra Fedatto
BMJ Paediatrics Open|February 10, 2023
Providing paediatric surgery in low-resource countriesEmma Bryce, Maíra Fedatto, David Cunningham
Journal of Global Health|October 25, 2024
'Show me the money': An analysis of US global health funding from 1995 to 2019Madeleine Carroll, Nensi Ruzgar, Maíra Fedatto, et al.
Journal of Pediatric Surgery|September 24, 2024
Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine LearningLauren Eyler Dang, Greg Klazura, Ava Yap, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Pediatric Surgery|December 3, 2021
Building towards equitable access to safe surgery for every childDavid Cunningham, Maíra Fedatto
BMJ Paediatrics Open|February 10, 2023
Providing paediatric surgery in low-resource countriesEmma Bryce, Maíra Fedatto, David Cunningham
Journal of Global Health|October 25, 2024
'Show me the money': An analysis of US global health funding from 1995 to 2019Madeleine Carroll, Nensi Ruzgar, Maíra Fedatto, et al.
Journal of Pediatric Surgery|September 24, 2024
Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine LearningLauren Eyler Dang, Greg Klazura, Ava Yap, et al.
Pageof 1