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A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy
Bacterial meningitis remains an important cause of global morbidity and mortality. Although effective vaccinations exist and are being increasingly used worldwide, bacterial diversity threatens their impact and the ultimate goal of eliminating the disease. Through genomic epidemiology, we can apprec...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871810/ https://www.ncbi.nlm.nih.gov/pubmed/29636909 http://dx.doi.org/10.12688/f1000research.13793.1 |
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author | Rodrigues, Charlene M.C. Maiden, Martin C.J. |
author_facet | Rodrigues, Charlene M.C. Maiden, Martin C.J. |
author_sort | Rodrigues, Charlene M.C. |
collection | PubMed |
description | Bacterial meningitis remains an important cause of global morbidity and mortality. Although effective vaccinations exist and are being increasingly used worldwide, bacterial diversity threatens their impact and the ultimate goal of eliminating the disease. Through genomic epidemiology, we can appreciate bacterial population structure and its consequences for transmission dynamics, virulence, antimicrobial resistance, and development of new vaccines. Here, we review what we have learned through genomic epidemiological studies, following the rapid implementation of whole genome sequencing that can help to optimise preventative strategies for bacterial meningitis. |
format | Online Article Text |
id | pubmed-5871810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-58718102018-04-09 A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy Rodrigues, Charlene M.C. Maiden, Martin C.J. F1000Res Review Bacterial meningitis remains an important cause of global morbidity and mortality. Although effective vaccinations exist and are being increasingly used worldwide, bacterial diversity threatens their impact and the ultimate goal of eliminating the disease. Through genomic epidemiology, we can appreciate bacterial population structure and its consequences for transmission dynamics, virulence, antimicrobial resistance, and development of new vaccines. Here, we review what we have learned through genomic epidemiological studies, following the rapid implementation of whole genome sequencing that can help to optimise preventative strategies for bacterial meningitis. F1000 Research Limited 2018-03-27 /pmc/articles/PMC5871810/ /pubmed/29636909 http://dx.doi.org/10.12688/f1000research.13793.1 Text en Copyright: © 2018 Rodrigues CMC and Maiden MCJ http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Rodrigues, Charlene M.C. Maiden, Martin C.J. A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title | A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title_full | A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title_fullStr | A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title_full_unstemmed | A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title_short | A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
title_sort | world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871810/ https://www.ncbi.nlm.nih.gov/pubmed/29636909 http://dx.doi.org/10.12688/f1000research.13793.1 |
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