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Re-imagining the future of diagnosis of Neglected Tropical Diseases.
Peeling, Rosanna W; Boeras, Debrah I; Nkengasong, John.
Affiliation
  • Peeling RW; LONDON School of Hygiene and Tropical Medicine, United Kingdom.
  • Boeras DI; LONDON School of Hygiene and Tropical Medicine, United Kingdom.
  • Nkengasong J; Centers for Disease Control and Prevention, USA.
Comput Struct Biotechnol J ; 15: 271-274, 2017.
Article in En | MEDLINE | ID: mdl-28352456
ABSTRACT
Neglected Tropical Diseases (NTDs) affect an estimated 1 billion people in 149 countries. The World Health Organization (WHO) prioritised 17 NTDs for control and elimination by 2020 and defined a Road Map to help countries reach these goals. Improved diagnostics for NTDs are essential for guiding treatment strategies at different thresholds of control, interruption of transmission, elimination and post-elimination surveillance. While substantial progress has been made in the last decade with chemotherapy, the same cannot be said of diagnostics, largely due to the perceived lack of a commercially viable market for NTD diagnostics. New sample in-answer out nucleic acid amplification technologies that can be performed at the point-of-care offer improved performance over current technologies and the potential to test for multiple pathogens using a single specimen. Finding commonalities for different NTDs in terms of geographic overlap, sentinel populations and treatment strategy will allow NTD programs to leverage these innovations to build cost-effective multiplex surveillance platforms. Connectivity solutions linking data from diagnostic laboratories and POC test readers/devices provide opportunities for automated surveillance systems to make health systems more efficient, improving patient outcomes and assessing impact of interventions in real time. New models of public-private product development partnerships are critical in leveraging diagnostic innovation in other priority area for better diagnosis, control and elimination of NTDs.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Comput Struct Biotechnol J Year: 2017 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Comput Struct Biotechnol J Year: 2017 Document type: Article Affiliation country: United kingdom