Science · 2024 · 17 citations · 21 references
Veterinary MedicineInfectious Disease ControlInfectious DiseasesDisease SurveillanceEpidemiologyInfectious Disease EpidemiologyDisease SpreadEpidemic ForecastingInfectious Disease DynamicsInfectious Disease SurveillanceTransmission DynamicsContact Tracing Data AnalysisContact Tracing SystemsEpidemic SpreadingPathogen Spread DynamicsPathogen Spread PatternsReal-time Epidemiological MonitoringReal-time ProcessingReproduction Number Analysis
Understanding the drivers of respiratory pathogen spread is challenging, particularly in a timely manner during an ongoing epidemic. In this work, we present insights that we obtained using daily data from the National Health Service COVID-19 app for England and Wales and that we shared with health authorities in almost real time. Our indicator of the reproduction number R ( t ) was available days earlier than other estimates, with an innovative capability to decompose R ( t ) into contact rates and probabilities of infection. When Omicron arrived, the main epidemic driver switched from contacts to transmissibility. We separated contacts and transmissions by day of exposure and setting and found pronounced variability over days of the week and during Christmas holidays and events. For example, during the Euro football tournament in 2021, days with England matches showed sharp spikes in exposures and transmissibility. Digital contact-tracing technologies can help control epidemics not only by directly preventing transmissions but also by enabling rapid analysis at scale and with unprecedented resolution.
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Hadley Wickham, Mara Averick, Jennifer Bryan et al. · The Journal of Open Source Software · 2019 · 21.6K citations · Full text
Adam J. Kucharski, Petra Klepac, Andrew J. K. Conlan et al. · The Lancet Infectious Diseases · 2020 · 958 citations · Full text
Public Health, Infectious Disease Control, Infectious Diseases +6