This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened

Last update: Mar 29, 2022

Overview

ae_attendances_modelling

This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened. The predicted A&E attendance values from (2020-01 to 2021-12) are then compared to the actual data to quantify the impact of the pandemic on A&E attendances.

Raw monthly A&E attendance data sourced from NHS England; HERE

Further infromation of AE attendance data can be found HERE

Percent difference in actual total A&E attendances vs. predicted attendances during the course of the COVID-19 Pandemic

Owner

Mattia Ficarelli

Azure Data Engineer with the NHSX Analytics Unit. Executive committee member of the NHS Python Community. PhD in Molecular Virology.

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This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened

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Overview

ae_attendances_modelling

Percent difference in actual total A&E attendances vs. predicted attendances during the course of the COVID-19 Pandemic

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