Co-circulating mumps lineages at multiple geographic scales Article Swipe
Shirlee Wohl
,
Hayden C. Metsky
,
S. F. Schaffner
,
Anne Piantadosi
,
Meagan Burns
,
Joseph A. Lewnard
,
Bridget Chak
,
Lydia A. Krasilnikova
,
Katherine J. Siddle
,
Christian B. Matranga
,
Bettina Bankamp
,
Scott Hennigan
,
Brandon Sabina
,
Elizabeth H. Byrne
,
Rebecca J. McNall
,
Daniel J. Park
,
Soheyla Gharib
,
Susan Fitzgerald
,
Paul Barriera
,
Stephen B. Fleming
,
Susan Lett
,
Paul A. Rota
,
Lawrence C. Madoff
,
Bronwyn MacInnis
,
Nathan L. Yozwiak
,
Sandra Smole
,
Yonatan H. Grad
,
Pardis C. Sabeti
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1101/343897
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1101/343897
Despite widespread vaccination, eleven thousand mumps cases were reported in the United States (US) in 2016–17, including hundreds in Massachusetts, primarily in college settings. We generated 203 whole genome mumps virus (MuV) sequences from Massachusetts and 15 other states to understand the dynamics of mumps spread locally and nationally, as well as to search for variants potentially related to vaccination. We observed multiple MuV lineages circulating within Massachusetts during 2016–17, evidence for multiple introductions of the virus to the state, and extensive geographic movement of MuV within the US on short time scales. We found no evidence that variants arising during this outbreak contributed to vaccine escape. Combining epidemiological and genomic data, we observed multiple co-circulating clades within individual universities as well as spillover into the local community. Detailed data from one well-sampled university allowed us to estimate an effective reproductive number within that university significantly greater than one. We also used publicly available small hydrophobic (SH) gene sequences to estimate migration between world regions and to place this outbreak in a global context, but demonstrate that these short sequences, historically used for MuV genotyping, are inadequate for tracing detailed transmission. Our findings suggest continuous, often undetected, circulation of mumps both locally and nationally, and highlight the value of combining genomic and epidemiological data to track viral disease transmission at high resolution.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/343897
- https://www.biorxiv.org/content/biorxiv/early/2018/06/12/343897.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2807566364
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2807566364Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/343897Digital Object Identifier
- Title
-
Co-circulating mumps lineages at multiple geographic scalesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-06-12Full publication date if available
- Authors
-
Shirlee Wohl, Hayden C. Metsky, S. F. Schaffner, Anne Piantadosi, Meagan Burns, Joseph A. Lewnard, Bridget Chak, Lydia A. Krasilnikova, Katherine J. Siddle, Christian B. Matranga, Bettina Bankamp, Scott Hennigan, Brandon Sabina, Elizabeth H. Byrne, Rebecca J. McNall, Daniel J. Park, Soheyla Gharib, Susan Fitzgerald, Paul Barriera, Stephen B. Fleming, Susan Lett, Paul A. Rota, Lawrence C. Madoff, Bronwyn MacInnis, Nathan L. Yozwiak, Sandra Smole, Yonatan H. Grad, Pardis C. SabetiList of authors in order
- Landing page
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https://doi.org/10.1101/343897Publisher landing page
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-
https://www.biorxiv.org/content/biorxiv/early/2018/06/12/343897.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2018/06/12/343897.full.pdfDirect OA link when available
- Concepts
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Context (archaeology), Clade, Outbreak, Genotyping, Mumps virus, Geography, Transmission (telecommunications), Biology, Evolutionary biology, Virology, Demography, Genetics, Phylogenetics, Virus, Genotype, Gene, Computer science, Sociology, Telecommunications, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2019: 3, 2018: 1Per-year citation counts (last 5 years)
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70Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 28 |
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