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

Surveillance Systems (462) Ontologies, Classifications, and Coding (239) Infectious Diseases (non-STD/STI) (1575) Malaria Surveillance and Prevention (26)

Published on in Vol 4, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10218, first published .
A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability

A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability

A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability

Authors of this article:

Mohammad Sadnan Al Manir1 Author Orcid Image ;   Jon Haël Brenas2 Author Orcid Image ;   Christopher JO Baker1, 3 Author Orcid Image ;   Arash Shaban-Nejad2 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

Journals

  1. Saldanha R, Mosnier É, Barcellos C, Carbunar A, Charron C, Desconnets J, Guarmit B, Gomes M, Mandon T, Mendes A, Peiter P, Musset L, Sanna A, Van Gastel B, Roux E. Contributing to Elimination of Cross-Border Malaria Through a Standardized Solution for Case Surveillance, Data Sharing, and Data Interpretation: Development of a Cross-Border Monitoring System. JMIR Public Health and Surveillance 2020;6(3):e15409 View
  2. Brenas J, Shaban-Nejad A. Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. IEEE Access 2020;8:9942 View
  3. Rahi M, Das P, Sharma A. Malaria elimination in India requires additional surveillance mechanisms. Journal of Public Health 2022;44(3):527 View
  4. Brenas J, Shaban-Nejad A. Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. Frontiers in Big Data 2021;4 View
  5. Schwartz D, Stewart A, Harris L, Ozdenerol E, Thomas F, Johnson K, Davis R, Shaban-Nejad A. The Memphis Pandemic Health Informatics System (MEMPHI-SYS)—Creating a Metropolitan COVID-19 Data Registry Linked Directly to Community Testing to Enhance Population Health Surveillance. Disaster Medicine and Public Health Preparedness 2023;17 View
  6. Olusanya O, White B, Melton C, Shaban-Nejad A. Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries. JMIR Formative Research 2022;6(5):e34363 View
  7. Brenas J, Strecker M, Echahed R, Shaban-Nejad A. Applied Graph Transformation and Verification With Use Cases in Malaria Surveillance. IEEE Access 2018;6:64728 View
  8. Haghighi M, Adhimoolam D, Kwan R, Gitman M, McGuire M, Mendu D, Firpo-Betancourt A, McBride R, Cordon-Cardo C, Craven C. Creating surveillance data infrastructure using laboratory analytics: Leveraging visiun and epic systems to support COVID-19 pandemic response. Journal of Pathology Informatics 2022;13:100164 View
  9. Al Knawy B, McKillop M, Abduljawad J, Tarkoma S, Adil M, Schaper L, Chee A, Bates D, Klag M, Lee U, Kozlakidis Z, Crooks G, Rhee K. Successfully Implementing Digital Health to Ensure Future Global Health Security During Pandemics. JAMA Network Open 2022;5(2):e220214 View

Books/Policy Documents

  1. Shaban-Nejad A, Kamaleswaran R, Shin E, Akbilgic O. Biomedical Information Technology. View
  2. Shaban-Nejad A, Michalowski M, Buckeridge D. Explainable AI in Healthcare and Medicine. View
  3. Huang X, Zhang R, Li X, Dadashova B, Zhu L, Zhang K, Li Y, Shen B. Translational Informatics. View
  4. Shaban-Nejad A, Michalowski M, Bianco S. AI for Disease Surveillance and Pandemic Intelligence. View