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Genomic epidemiology supports multiple introductions and cryptic transmission of Zika virus in Colombia

يدعم علم الأوبئة الجيني المقدمات المتعددة والانتقال الخفي لفيروس زيكا في كولومبيا
Authors: Allison Black; Louise H. Moncla; Katherine Laiton‐Donato; Barney Potter; Lissethe Pardo; Angélica Rico; Catalina Tovar; +7 Authors

Genomic epidemiology supports multiple introductions and cryptic transmission of Zika virus in Colombia

Abstract

Abstract Background Colombia was the second most affected country during the American Zika virus (ZIKV) epidemic, with over 109,000 reported cases. Despite the scale of the outbreak, limited genomic sequence data were available from Colombia. We sought to sequence additional samples and use genomic epidemiology to describe ZIKV dynamics in Colombia. Methods We sequenced ZIKV genomes directly from clinical diagnostic specimens and infected Aedes aegypti samples selected to cover the temporal and geographic breadth of the Colombian outbreak. We performed phylogeographic analysis of these genomes, along with other publicly-available ZIKV genomes from the Americas, to estimate the frequency and timing of ZIKV introductions to Colombia. Results We attempted PCR amplification on 184 samples; 19 samples amplified sufficiently to perform sequencing. Of these, 8 samples yielded sequences with at least 50% coverage. Our phylogeographic reconstruction indicates two separate introductions of ZIKV to Colombia, one of which was previously unrecognized. We find that ZIKV was first introduced to Colombia in February 2015 (95%CI: Jan 2015 – Apr 2015), corresponding to 5 to 8 months of cryptic ZIKV transmission prior to confirmation in September 2015. Despite the presence of multiple introductions, we find that the majority of Colombian ZIKV diversity descends from a single introduction. We find evidence for movement of ZIKV from Colombia into bordering countries, including Peru, Ecuador, Panama, and Venezuela. Conclusions Similarly to genomic epidemiological studies of ZIKV dynamics in other countries, we find that ZIKV circulated cryptically in Colombia. More accurately dating when ZIKV was circulating refines our definition of the population at risk. Additionally, our finding that the majority of ZIKV transmission within Colombia was attributable to transmission between individuals, rather than repeated travel-related importations, indicates that improved detection and control might have succeeded in limiting the scale of the outbreak within Colombia.

Keywords

Epidemiology, Evolutionary biology, Infectious and parasitic diseases, RC109-216, Gene, Disease Outbreaks, Zika virus, Agricultural and Biological Sciences, Paramyxovirus Infections and Epidemiology, Engineering, Sociology, Aedes, Viral, Phylogeny, Genome, Geography, Zika Virus Infection, Life Sciences, Classification, FOS: Sociology, Virus, Phylogenetics, Phylogeography, Molecular epidemiology, Medicine, Insect Symbiosis and Microbial Interactions, Human, Research Article, Genotype, Evolution, Population, Epidemic, Genome, Viral, Colombia, Evolution, Molecular, Virology, Health Sciences, Genetics, Animals, Humans, Genetic variation, Global Impact of Arboviral Diseases, Biology, Virus genome, Demography, Animal, Public Health, Environmental and Occupational Health, Molecular, Genetic Variation, Outbreak, Zika Virus, Genomic epidemiology, Dengue fever, Virus evolution, Transmission (telecommunications), Isolation and purification, Zika fever, Insect Science, FOS: Biological sciences, Electrical engineering, Molecular evolution

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
gold