Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa
Abstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case c...
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ftdoajarticles:oai:doaj.org/article:f04c537edf9d4049b26dbc8c18325819 2023-05-15T15:06:45+02:00 Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse 2019-09-01T00:00:00Z https://doi.org/10.1186/s12936-019-2880-1 https://doaj.org/article/f04c537edf9d4049b26dbc8c18325819 EN eng BMC http://link.springer.com/article/10.1186/s12936-019-2880-1 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2880-1 1475-2875 https://doaj.org/article/f04c537edf9d4049b26dbc8c18325819 Malaria Journal, Vol 18, Iss 1, Pp 1-9 (2019) Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2019 ftdoajarticles https://doi.org/10.1186/s12936-019-2880-1 2022-12-31T02:38:28Z Abstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case counts and self-reported travel history data. However, travel history data are often not routinely collected or are incomplete, lacking the necessary level of accuracy. Although genetic data from routinely collected field samples provides an unprecedented opportunity to track the spread of malaria parasites, it remains an underutilized resource for surveillance due to lack of local awareness and capacity, limited access to sensitive laboratory methods and associated computational tools and difficulty in interpreting genetic epidemiology data. In this review, the potential roles of NGS in better understanding of transmission patterns, accurately tracking parasite movement and addressing the emerging challenges of imported malaria in low transmission settings of sub-Saharan Africa are discussed. Furthermore, this review highlights the insights gained from malaria genomic research and challenges associated with integrating malaria genomics into existing surveillance tools to inform control and elimination strategies. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 18 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
topic_facet |
Next-generation sequencing Malaria genomics Molecular epidemiology Tracking parasites Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Next-generation sequencing (NGS) technologies are increasingly being used to address a diverse range of biological and epidemiological questions. The current understanding of malaria transmission dynamics and parasite movement mainly relies on the analyses of epidemiologic data, e.g. case counts and self-reported travel history data. However, travel history data are often not routinely collected or are incomplete, lacking the necessary level of accuracy. Although genetic data from routinely collected field samples provides an unprecedented opportunity to track the spread of malaria parasites, it remains an underutilized resource for surveillance due to lack of local awareness and capacity, limited access to sensitive laboratory methods and associated computational tools and difficulty in interpreting genetic epidemiology data. In this review, the potential roles of NGS in better understanding of transmission patterns, accurately tracking parasite movement and addressing the emerging challenges of imported malaria in low transmission settings of sub-Saharan Africa are discussed. Furthermore, this review highlights the insights gained from malaria genomic research and challenges associated with integrating malaria genomics into existing surveillance tools to inform control and elimination strategies. |
format |
Article in Journal/Newspaper |
author |
Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse |
author_facet |
Sofonias K. Tessema Jaishree Raman Craig W. Duffy Deus S. Ishengoma Alfred Amambua-Ngwa Bryan Greenhouse |
author_sort |
Sofonias K. Tessema |
title |
Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
title_short |
Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
title_full |
Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
title_fullStr |
Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
title_full_unstemmed |
Applying next-generation sequencing to track falciparum malaria in sub-Saharan Africa |
title_sort |
applying next-generation sequencing to track falciparum malaria in sub-saharan africa |
publisher |
BMC |
publishDate |
2019 |
url |
https://doi.org/10.1186/s12936-019-2880-1 https://doaj.org/article/f04c537edf9d4049b26dbc8c18325819 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
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Arctic |
op_source |
Malaria Journal, Vol 18, Iss 1, Pp 1-9 (2019) |
op_relation |
http://link.springer.com/article/10.1186/s12936-019-2880-1 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2880-1 1475-2875 https://doaj.org/article/f04c537edf9d4049b26dbc8c18325819 |
op_doi |
https://doi.org/10.1186/s12936-019-2880-1 |
container_title |
Malaria Journal |
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18 |
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1 |
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1766338308115267584 |