Using a novel ‘difference-in-differences’ method and syndromic surveillance to estimate the change in local healthcare utilisation during periods of media reporting in the early stages of the COVID-19 pandemic in England

A. Nikhab*, R. Morbey, D. Todkill, A. J. Elliot

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    Objectives: Syndromic surveillance supplements traditional laboratory reporting for infectious diseases monitoring. Prior to widespread COVID-19 community surveillance, syndromic surveillance was one of several systems providing real-time information on changes in healthcare-seeking behaviour. The study objective was to identify changes in healthcare utilisation during periods of high local media reporting in England using ‘difference-in-differences’ (DiD). Study design: A retrospective observational study was conducted using five media events in January–February 2020 in England on four routinely monitored syndromic surveillance indicators. Methods: Dates ‘exposed’ to a media event were estimated using Google Trends internet search intensity data (terms = ‘coronavirus’ and local authority [LA]). We constructed a negative-binomial regression model for each indicator and event time period to estimate a direct effect. Results: We estimated a four-fold increase in telehealth ‘cough’ calls and a 1.4-fold increase in emergency department (ED) attendances for acute respiratory illness in Brighton and Hove, when a so-called ‘superspreading event’ in this location was reported in local and national media. Significant decreases were observed in the Buxton (telehealth and ED attendance) and Wirral (ED attendance) areas during media reports of a returnee from an outbreak abroad and a quarantine site opening in the area respectively. Conclusions: We used a novel approach to directly estimate changes in syndromic surveillance reporting during the early phase of the COVID-19 pandemic in England, providing contextual information on the interpretation of changes in health indicators. With careful consideration of event timings, DiD is useful in producing real-time estimates on specific indicators for informing public health action.

    Original languageEnglish
    Pages (from-to)132-137
    Number of pages6
    JournalPublic Health
    Volume232
    DOIs
    Publication statusPublished - Jul 2024

    Bibliographical note

    Publisher Copyright:
    © 2024 The Authors

    Keywords

    • COVID-19
    • Epidemiological methods
    • Mass media
    • Quasi-experimental studies
    • Syndromic surveillance

    Fingerprint

    Dive into the research topics of 'Using a novel ‘difference-in-differences’ method and syndromic surveillance to estimate the change in local healthcare utilisation during periods of media reporting in the early stages of the COVID-19 pandemic in England'. Together they form a unique fingerprint.

    Cite this