Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ebiom.2021.103596
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dc.titleViral genome-based Zika virus transmission dynamics in a paediatric cohort during the 2016 Nicaragua epidemic
dc.contributor.authorSun, Haoyang
dc.contributor.authorBinder, Raquel A
dc.contributor.authorDickens, Borame
dc.contributor.authorde Sessions, Paola Florez
dc.contributor.authorRabaa, Maia A
dc.contributor.authorHo, Eliza Xin Pei
dc.contributor.authorCook, Alex R
dc.contributor.authorCarrillo, Fausto Bustos
dc.contributor.authorMonterrey, Jairo Carey
dc.contributor.authorKuan, Guillermina
dc.contributor.authorBalmaseda, Angel
dc.contributor.authorOoi, Eng Eong
dc.contributor.authorHarris, Eva
dc.contributor.authorSessions, October M
dc.date.accessioned2022-09-02T01:44:54Z
dc.date.available2022-09-02T01:44:54Z
dc.date.issued2021-10-07
dc.identifier.citationSun, Haoyang, Binder, Raquel A, Dickens, Borame, de Sessions, Paola Florez, Rabaa, Maia A, Ho, Eliza Xin Pei, Cook, Alex R, Carrillo, Fausto Bustos, Monterrey, Jairo Carey, Kuan, Guillermina, Balmaseda, Angel, Ooi, Eng Eong, Harris, Eva, Sessions, October M (2021-10-07). Viral genome-based Zika virus transmission dynamics in a paediatric cohort during the 2016 Nicaragua epidemic. EBIOMEDICINE 72. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ebiom.2021.103596
dc.identifier.issn23523964
dc.identifier.issn23523964
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/230763
dc.description.abstractBackground: Nicaragua experienced a large Zika epidemic in 2016, with up to 50% of the population in Managua infected. With the domesticated Aedes aegypti mosquito as its vector, it is widely assumed that Zika virus transmission occurs within the household and/or via human mobility. We investigated these assumptions by using viral genomes to trace Zika transmission spatially. Methods: We analysed serum samples from 119 paediatric Zika cases participating in the long-standing Paediatric Dengue Cohort Study in Managua, which was expanded to include Zika in 2015. An optimal spanning directed tree was constructed by minimizing the differences in viral sequence diversity composition between patient nodes, where low-frequency variants were used to increase the resolution of the inferred Zika outbreak dynamics. Findings: Out of the 18 houses where pairwise difference in sample collection dates among all the household members was within 30 days, we only found two where viruses from individuals within the same household were up to 10th-most closely linked to each other genetically. We also identified a substantial number of transmission events involving long geographical distances (n=30), as well as potential super-spreading events in the estimated transmission tree. Interpretation: Our finding highlights that community transmission, often involving long geographical distances, played a much more important role in epidemic spread than within-household transmission. Funding: This study was supported by an NUS startup grant (OMS) and grants R01 AI099631 (AB), P01 AI106695 (EH), P01 AI106695-03S1 (FB), and U19 AI118610 (EH) from the US National Institutes of Health.
dc.language.isoen
dc.publisherELSEVIER
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectMedicine, General & Internal
dc.subjectMedicine, Research & Experimental
dc.subjectGeneral & Internal Medicine
dc.subjectResearch & Experimental Medicine
dc.subjectZika virus
dc.subjecttransmission network
dc.subjectgenomic inference
dc.subjectNicaragua
dc.subjectSTATES
dc.typeArticle
dc.date.updated2022-09-01T09:31:43Z
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.contributor.departmentDEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH)
dc.contributor.departmentDEPT OF MEDICINE
dc.contributor.departmentDEPT OF MICROBIOLOGY & IMMUNOLOGY
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1016/j.ebiom.2021.103596
dc.description.sourcetitleEBIOMEDICINE
dc.description.volume72
dc.published.statePublished
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