Evidence map›Paper›PMID 35409559›Full record

ArticleInternational journal of environmental research and public health2022

The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England.

Simon Packer, Paul Loveridge, Ana Soriano, Roger Morbey, Dan Todkill, Ross Thompson, Tracy Rayment-Bishop, Cathryn James, Hilary Pillin, Gillian Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Persistent elevation in incidence of pneumonia in children in England, 2023/24.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Simon PackerSouth West Field Service, UK Health Security Agency, Bristol BS1 6EH, UK.ORCID 0000-0002-9157-3650
Paul LoveridgeReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.
Ana SorianoReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.
Roger MorbeyReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.ORCID 0000-0001-8543-477X
Dan TodkillReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.ORCID 0000-0002-4325-4786
Ross ThompsonExtreme Events and Health Protection Team, UK Health Security Agency, London SE1 8UG, UK.ORCID 0000-0002-1407-1964
Tracy Rayment-BishopWest Midlands Ambulance Service University NHS Foundation Trust, Brierley Hill DY5 1LX, West Midlands, UK.
Cathryn JamesAssociation of Ambulance Chief Executives, London EC4A 4AB, UK.
Hilary PillinAssociation of Ambulance Chief Executives, London EC4A 4AB, UK.
Gillian SmithReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.ORCID 0000-0002-4257-0568
Alex J ElliotReal-Time Syndromic Surveillance Team, Field Service, UK Health Security Agency, Birmingham B2 4BH, UK.ORCID 0000-0002-6414-3065
UK Health Security Agency · GBLondon Ambulance Service NHS Trust · GBEast Midlands Ambulance Service NHS Trust · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme weather events present significant global threats to health. The National Ambulance Syndromic Surveillance System collects data on 18 syndromes through chief presenting complaint (CPC) codes. We aimed to determine the utility of ambulance data to monitor extreme temperature events for action. Daily total calls were observed between 01/01/2018−30/04/2019. Median daily ’Heat/Cold’ CPC calls during “known extreme temperature” (identified a priori), “extreme temperature”; (within 5th or 95th temperature percentiles for central England) and meteorological alert periods were compared to all other days using Wilcoxon signed-rank test. During the study period, 12,585,084 calls were recorded. In 2018, median daily “Heat/Cold” calls were higher during periods of known extreme temperature: heatwave (16/day, 736 total) and extreme cold weather events (28/day, 339 total) compared to all other days in 2018 (6/day, 1672 total). Median daily “Heat/Cold” calls during extreme temperature periods (16/day) were significantly higher than non-extreme temperature periods (5/day, p < 0.001). Ambulance data can be used to identify adverse impacts during periods of extreme temperature. Ambulance data are a low resource, rapid and flexible option providing real-time data on a range of indicators. We recommend ambulance data are used for the surveillance of presentations to healthcare related to extreme temperature events.

Indexed as

AmbulancesExtreme WeatherEnglandHot TemperatureSentinel SurveillanceWeatherambulanceclimate changecold temperatureemergency medical dispatchhot temperaturepublic healthsurveillanceweather

Identifiers

PMID35409559
PMCPMC8997786
OpenAlexW4220692595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.