Epidemiological waves - Types, drivers and modulators in the COVID-19 pandemic.

ABSTRACT:

Introduction

A discussion of 'waves' of the COVID-19 epidemic in different countries is a part of the national conversation for many, but there is no hard and fast means of delineating these waves in the available data and their connection to waves in the sense of mathematical epidemiology is only tenuous.

Methods

We present an algorithm which processes a general time series to identify substantial, significant and sustained periods of increase in the value of the time series, which could reasonably be described as 'observed waves'. This provides an objective means of describing observed waves in time series. We use this method to synthesize evidence across different countries to study types, drivers and modulators of waves.

Results

The output of the algorithm as appl

SUBMITTER: Harvey J 

PROVIDER: S-EPMC10154246 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature