The effective reproduction numberRwas widely accepted as a key indicator during the early stages of the COVID-19 pandemic. In the UK, theRvalue published on the UK Government Dashboard has been generated as a combined value from an ensemble of fourteen epidemiological models via a collaborative initiative between academia and government. In this paper we outline this collaborative modelling approach and illustrate how, by using an established combination method, a combinedRestimate can be generated from an ensemble of epidemiological models. We show that thisRis robust to different model weighting methods and ensemble size and that using heterogeneous data sources for validation increases its robustness and reduces the biases and limitations associated with a single source of data. We discuss howRcan be generated from different data sources and is therefore a good summary indicator of the current dynamics in an epidemic.

The monkeypox epidemic in the UK began in May 2022, and subsequently and rather quickly, rates of new cases have declined during August 2022. Identifying the causes of this decline requires accurate estimates of the time-varying epidemic growth rate r(t), which in turn depend upon the reporting delays (defined as the time from onset of symptoms to presenting to healthcare). Using a custom nowcasting method which allows for time-varying delays (EpiLine), we show that the reporting delay for Monkeypox in the UK decreased from an average of 22 days in early May 2022 to 10 days by early June and 7 days in August 2022. Accounting for these dynamic delays shows that the time-varying r(t) declined gradually in the UK over this period. Not accounting for varying time delays would have incorrectly characterised r(t) by a sharp increase followed by a rapid drop. We discuss the importance of this gradual decline, which helps identify the potential mechanisms responsible for the decline in the rate of spread of Monkeypox, which was gradual and started well before vaccines were widely used.