Potential Application of Digitally Linked Tuberculosis Diagnostics for Real-Time Surveillance of Drug-Resistant Tuberculosis Transmission: Validation and Analysis of Test Results.
Kamela Charmaine NgConor Joseph MeehanGabriela TorreaLéonie GoeminneMaren DielsLeen RigoutsBouke Catherine de JongEmmanuel AndréPublished in: JMIR medical informatics (2018)
We propose a novel approach for potential real-time detection of RR-TB transmission through fully using digitally linked TB diagnostics and shared repository of test results. To our knowledge, this is the first pragmatic and scalable work in response to the consensus of world-renowned TB experts in 2016 on the potential of diagnostic connectivity to accelerate efforts to eliminate TB. This is evidenced by the ability of our proposed approach to facilitate comparison of probe reactions between different RDTs used in the same setting. Integrating this proposed approach as a plug-in module to a connectivity platform will increase usefulness of connected TB diagnostics for RR-TB outbreak detection through real-time investigation of suspected RR-TB transmission cases based on epidemiologic linking.
Keyphrases
- mycobacterium tuberculosis
- drug resistant
- pulmonary tuberculosis
- multidrug resistant
- public health
- acinetobacter baumannii
- resting state
- white matter
- functional connectivity
- study protocol
- multiple sclerosis
- hiv aids
- human immunodeficiency virus
- risk assessment
- adverse drug
- pseudomonas aeruginosa
- climate change
- living cells
- single cell
- cystic fibrosis
- antiretroviral therapy
- electronic health record