English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Cholera continues to be a global health threat. Understanding how choleraspreads between locations is fundamental to the rational, evidence-based designof intervention and control efforts. Traditionally, cholera transmission modelshave utilized cholera case count data. More recently, whole genome sequencedata has qualitatively described cholera transmission. Integrating these datastreams may provide much more accurate models of cholera spread, however nosystematic analyses have been performed so far to compare traditionalcase-count models to the phylodynamic models from genomic data for choleratransmission. Here, we use high-fidelity case count and whole genome sequencingdata from the 1991-1998 cholera epidemic in Argentina to directly compare theepidemiological model parameters estimated from these two data sources. We findthat phylodynamic methods applied to cholera genomics data provide comparableestimates that are in line with established methods. Our methodology representsa critical step in building a framework for integrating case-count and genomicdata sources for cholera epidemiology and other bacterial pathogens.

Congruity of genomic and epidemiological data in modeling of local cholera outbreaks