This paper is in the following e-collection/theme issue:

Viewpoint and Opinions on Technology and Innovation in Public Health (50) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1728) Infectious Diseases (non-STD/STI) (1575) Surveillance Systems (462) Innovative Methods in Public Health and Surveillance (332)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28643, first published .
Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies

Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies

Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies

Authors of this article:

Bruna Donida1 Author Orcid Image ;   Cristiano André da Costa1 Author Orcid Image ;   Juliana Nichterwitz Scherer1 Author Orcid Image
Article Authors Cited by (11) Tweetations (12) Metrics

Journals

  1. Leung C, Selle L, de Paiva K, Haas P. Neonates are more vulnerable to symptomatic SARS-CoV-2 infection than children: a matched cohort study in Brazil. World Journal of Pediatrics 2022;18(6):437 View
  2. Gendy M, Yuce M. Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic. IEEE Reviews in Biomedical Engineering 2023;16:38 View
  3. Silva L, Carvalho Dutra A, Andrade L, Iora P, Rodrigues Ramajo G, Peres Gualda I, Costa Scheidt J, Vasconcelos Maia do Amaral P, Hernandes Rocha T, Staton C, Nickenig Vissoci J, Fressatti Cardoso R. Emergency Care Gap in Brazil: Geographical Accessibility as a Proxy of Response Capacity to Tackle COVID-19. Frontiers in Public Health 2021;9 View
  4. Barbalho I, Fernandes F, Barros D, Paiva J, Henriques J, Morais A, Coutinho K, Coelho Neto G, Chioro A, Valentim R. Electronic health records in Brazil: Prospects and technological challenges. Frontiers in Public Health 2022;10 View
  5. Schünke L, Mello B, da Costa C, Antunes R, Rigo S, Ramos G, Righi R, Scherer J, Donida B. A rapid review of machine learning approaches for telemedicine in the scope of COVID-19. Artificial Intelligence in Medicine 2022;129:102312 View
  6. Hesse B, Aronoff‐Spencer E, Ahern D, Mullett T, Gibbons C, Chih M, Hubenko A, Koop B. “Don't drop the patient:” Health information in a postpandemic world. World Medical & Health Policy 2022;14(2):310 View
  7. Barykin S, Sergeev S, Provotorov V, Lavskaya K, Kharlamov A, Kharlamova T. Energy Efficient Digital Omnichannel Marketing Based on a Multidimensional Approach to Network Interaction. Frontiers in Energy Research 2022;10 View
  8. Manoel M, Santos S, Amado C. Assessing the impact of COVID-19 on the performance of organ transplant services using data envelopment analysis. Health Care Management Science 2023;26(2):217 View
  9. Venancio S, Relvas G, Melo D, de Souza C, de Oliveira Mendonça Moreira H, Veras J, Veiga M, Ramos M, Ferreira R, Alves V, Bortolini G. Implementation Strategies for a Brazilian Policy Aimed at Promoting Breastfeeding and Healthy Complementary Feeding in Primary Care. Global Implementation Research and Applications 2023;3(4):355 View
  10. Kianian R, Carter M, Finkelshtein I, Eleswarapu S, Kachroo N. Application of Artificial Intelligence to Patient-Targeted Health Information on Kidney Stone Disease. Journal of Renal Nutrition 2024;34(2):170 View
  11. Silva Í, Silva C, Martiniano C, Araújo A, Figueirêdo R, Lapão L, Moioli R, Brito E, Uchôa S. Digital health and quality of care in Primary Health Care: an evaluation model. Frontiers in Public Health 2024;12 View