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An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness

BACKGROUND: Diagnostic development for outbreak pathogens has typically followed a disease-specific reactive rather than proactive response. Given the diversity of outbreak pathogens, particularly those prioritised by the World Health Organization Research and Development Blueprint, a more flexible...

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Autores principales: Emperador, Devy M., Mazzola, Laura T., Kelly-Cirino, Cassandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564747/
https://www.ncbi.nlm.nih.gov/pubmed/33102172
http://dx.doi.org/10.4102/ajlm.v9i2.1017
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author Emperador, Devy M.
Mazzola, Laura T.
Kelly-Cirino, Cassandra
author_facet Emperador, Devy M.
Mazzola, Laura T.
Kelly-Cirino, Cassandra
author_sort Emperador, Devy M.
collection PubMed
description BACKGROUND: Diagnostic development for outbreak pathogens has typically followed a disease-specific reactive rather than proactive response. Given the diversity of outbreak pathogens, particularly those prioritised by the World Health Organization Research and Development Blueprint, a more flexible and proactive approach to epidemic preparedness is needed to expand access to critical molecular diagnostic tests in peripheral and resource-constrained deployment settings. OBJECTIVE: New and more sustainable directives are needed to spur the development of high-quality products, particularly for epidemics more often found in low- and middle-income countries. To leverage and de-risk the development process, we present the benefits and challenges of an open-source business model for co-development of molecular diagnostic tests for decentralised settings. METHODS: We identify key outbreak pathogens that are available only for testing in high infrastructure laboratories and compare in-country installed base platforms that could be leveraged for menu expansion. Key strengths and challenges for development are highlighted for both platform and assay developers, with discussion of how to leverage and de-risk the process through an open-source development model. RESULTS: Depending on the specific partner strengths, options for partnership roles are presented. The proposed open-source business model addresses the particular challenges in the detection of outbreak- and epidemic-prone pathogens in low- and middle-income countries, reduces development and deployment risks to support outbreak response, strengthens diagnostic capacity and creates a viable market for product developers. CONCLUSION: We hope this model for a collaborative and open-source approach for molecular diagnostics serves to encourage stakeholders to consider co-development partnerships to improve outbreak preparedness and epidemic/pandemic response.
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spelling pubmed-75647472020-10-22 An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness Emperador, Devy M. Mazzola, Laura T. Kelly-Cirino, Cassandra Afr J Lab Med Lessons from the Field BACKGROUND: Diagnostic development for outbreak pathogens has typically followed a disease-specific reactive rather than proactive response. Given the diversity of outbreak pathogens, particularly those prioritised by the World Health Organization Research and Development Blueprint, a more flexible and proactive approach to epidemic preparedness is needed to expand access to critical molecular diagnostic tests in peripheral and resource-constrained deployment settings. OBJECTIVE: New and more sustainable directives are needed to spur the development of high-quality products, particularly for epidemics more often found in low- and middle-income countries. To leverage and de-risk the development process, we present the benefits and challenges of an open-source business model for co-development of molecular diagnostic tests for decentralised settings. METHODS: We identify key outbreak pathogens that are available only for testing in high infrastructure laboratories and compare in-country installed base platforms that could be leveraged for menu expansion. Key strengths and challenges for development are highlighted for both platform and assay developers, with discussion of how to leverage and de-risk the process through an open-source development model. RESULTS: Depending on the specific partner strengths, options for partnership roles are presented. The proposed open-source business model addresses the particular challenges in the detection of outbreak- and epidemic-prone pathogens in low- and middle-income countries, reduces development and deployment risks to support outbreak response, strengthens diagnostic capacity and creates a viable market for product developers. CONCLUSION: We hope this model for a collaborative and open-source approach for molecular diagnostics serves to encourage stakeholders to consider co-development partnerships to improve outbreak preparedness and epidemic/pandemic response. AOSIS 2020-09-28 /pmc/articles/PMC7564747/ /pubmed/33102172 http://dx.doi.org/10.4102/ajlm.v9i2.1017 Text en © 2020. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Lessons from the Field
Emperador, Devy M.
Mazzola, Laura T.
Kelly-Cirino, Cassandra
An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title_full An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title_fullStr An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title_full_unstemmed An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title_short An open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
title_sort open-source molecular diagnostic platform approach for outbreak and epidemic preparedness
topic Lessons from the Field
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564747/
https://www.ncbi.nlm.nih.gov/pubmed/33102172
http://dx.doi.org/10.4102/ajlm.v9i2.1017
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