
Simple model captures almost 100 years of measles dynamics in London: Disease dynamics are well predicted despite major disruptions caused by historical events
A simple epidemiological model accurately captures long-term measles transmission dynamics in London, including major perturbations triggered by historical events. Alexander Becker of Princeton University in New Jersey, U.S., and colleagues present these findings in PLOS Computational Biology. Previous studies have extensively explored how disease outbreaks are affected by variations in demography, such as birth rate, and variations in person-to-person contact, […]
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