Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination
The global community has adopted ambitious goals to eliminate schistosomiasis as a public health problem, and new tools are needed to achieve them. Mass drug administration programs, for example, have reduced the burden of schistosomiasis, but the identification of hotspots of persistent and reemerg...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2022-08-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/79320 |
| _version_ | 1811252531959955456 |
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| author | Andrea J Lund Kristen J Wade Zachary L Nikolakis Kathleen N Ivey Blair W Perry Hamish NC Pike Sara H Paull Yang Liu Todd A Castoe David D Pollock Elizabeth J Carlton |
| author_facet | Andrea J Lund Kristen J Wade Zachary L Nikolakis Kathleen N Ivey Blair W Perry Hamish NC Pike Sara H Paull Yang Liu Todd A Castoe David D Pollock Elizabeth J Carlton |
| author_sort | Andrea J Lund |
| collection | DOAJ |
| description | The global community has adopted ambitious goals to eliminate schistosomiasis as a public health problem, and new tools are needed to achieve them. Mass drug administration programs, for example, have reduced the burden of schistosomiasis, but the identification of hotspots of persistent and reemergent transmission threaten progress toward elimination and underscore the need to couple treatment with interventions that reduce transmission. Recent advances in DNA sequencing technologies make whole-genome sequencing a valuable and increasingly feasible option for population-based studies of complex parasites such as schistosomes. Here, we focus on leveraging genomic data to tailor interventions to distinct social and ecological circumstances. We consider two priority questions that can be addressed by integrating epidemiological, ecological, and genomic information: (1) how often do non-human host species contribute to human schistosome infection? and (2) what is the importance of locally acquired versus imported infections in driving transmission at different stages of elimination? These questions address processes that can undermine control programs, especially those that rely heavily on treatment with praziquantel. Until recently, these questions were difficult to answer with sufficient precision to inform public health decision-making. We review the literature related to these questions and discuss how whole-genome approaches can identify the geographic and taxonomic sources of infection, and how such information can inform context-specific efforts that advance schistosomiasis control efforts and minimize the risk of reemergence. |
| first_indexed | 2024-04-12T16:36:58Z |
| format | Article |
| id | doaj.art-c0dd1408dc1e433bbe9e8073d211ab46 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T16:36:58Z |
| publishDate | 2022-08-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-c0dd1408dc1e433bbe9e8073d211ab462022-12-22T03:24:58ZengeLife Sciences Publications LtdeLife2050-084X2022-08-011110.7554/eLife.79320Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis eliminationAndrea J Lund0https://orcid.org/0000-0003-0880-310XKristen J Wade1Zachary L Nikolakis2Kathleen N Ivey3Blair W Perry4Hamish NC Pike5Sara H Paull6Yang Liu7Todd A Castoe8David D Pollock9https://orcid.org/0000-0002-7627-4214Elizabeth J Carlton10https://orcid.org/0000-0002-8664-9606Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz, Aurora, United StatesDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, United StatesDepartment of Biology, University of Texas at Arlington, Arlington, United StatesDepartment of Biology, University of Texas at Arlington, Arlington, United StatesDepartment of Biology, University of Texas at Arlington, Arlington, United StatesDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, United StatesDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz, Aurora, United StatesSichuan Centers for Disease Control and Prevention, Chengdu, ChinaDepartment of Biology, University of Texas at Arlington, Arlington, United StatesDepartment of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, United StatesDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz, Aurora, United StatesThe global community has adopted ambitious goals to eliminate schistosomiasis as a public health problem, and new tools are needed to achieve them. Mass drug administration programs, for example, have reduced the burden of schistosomiasis, but the identification of hotspots of persistent and reemergent transmission threaten progress toward elimination and underscore the need to couple treatment with interventions that reduce transmission. Recent advances in DNA sequencing technologies make whole-genome sequencing a valuable and increasingly feasible option for population-based studies of complex parasites such as schistosomes. Here, we focus on leveraging genomic data to tailor interventions to distinct social and ecological circumstances. We consider two priority questions that can be addressed by integrating epidemiological, ecological, and genomic information: (1) how often do non-human host species contribute to human schistosome infection? and (2) what is the importance of locally acquired versus imported infections in driving transmission at different stages of elimination? These questions address processes that can undermine control programs, especially those that rely heavily on treatment with praziquantel. Until recently, these questions were difficult to answer with sufficient precision to inform public health decision-making. We review the literature related to these questions and discuss how whole-genome approaches can identify the geographic and taxonomic sources of infection, and how such information can inform context-specific efforts that advance schistosomiasis control efforts and minimize the risk of reemergence.https://elifesciences.org/articles/79320schistosomiasispopulation geneticssurveillanceone healthdisease controlwhole-genome sequencing |
| spellingShingle | Andrea J Lund Kristen J Wade Zachary L Nikolakis Kathleen N Ivey Blair W Perry Hamish NC Pike Sara H Paull Yang Liu Todd A Castoe David D Pollock Elizabeth J Carlton Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination eLife schistosomiasis population genetics surveillance one health disease control whole-genome sequencing |
| title | Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| title_full | Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| title_fullStr | Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| title_full_unstemmed | Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| title_short | Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| title_sort | integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination |
| topic | schistosomiasis population genetics surveillance one health disease control whole-genome sequencing |
| url | https://elifesciences.org/articles/79320 |
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