Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jan;26(1):148-150.
doi: 10.3201/eid2601.181520.

Use of Ambulance Dispatch Calls for Surveillance of Severe Acute Respiratory Infections

Use of Ambulance Dispatch Calls for Surveillance of Severe Acute Respiratory Infections

Susana Monge et al. Emerg Infect Dis. 2020 Jan.

Abstract

Ambulance dispatches for respiratory syndromes reflect incidence of influenza-like illness in primary care. Associations are highest in children (15%-34% of respiratory calls attributable to influenza), out-of-office hours (9%), and highest urgency-level calls (9%-11%). Ambulance dispatches might be an additional source of data for severe influenza surveillance.

Keywords: ambulance; emergency medical services; influenza; public health surveillance; respiratory infections; respiratory syndrome; the Netherlands; viruses.

PubMed Disclaimer

Figures

Figure
Figure
Observed and predicted weekly proportion of ambulance dispatch calls with respiratory syndromes from the multivariate models. The gray area represents the proportion that the model identifies as the baseline (i.e., attributable to unidentified factors); the colored area is the proportion of ambulance dispatch calls with respiratory syndromes attributed to influenza-like illness. The black line is the 5-week moving average of the observed proportion of respiratory syndromes. A) Overall; B) patients <15 years of age; C) patients 15–64 years of age; D) patients >65 years of age; E) calls during office hours; F) calls during out of office hours; G) calls of urgency level A1.

References

    1. van Lier A, McDonald SA, Bouwknegt M, Kretzschmar ME, Havelaar AH, Mangen MJ, et al.; EPI group. EPI rGoup. Disease burden of 32 infectious diseases in the Netherlands, 2007–2011. PLoS One. 2016;11:e0153106. 10.1371/journal.pone.0153106 - DOI - PMC - PubMed
    1. World Health Organization. Pandemic Influenza Severity Assessment (PISA): a WHO guide to assess the severity of influenza epidemics & pandemics. 2017. [cited 2019 Nov 12]. http://www.who.int/influenza/surveillance_monitoring/pisa/guidance
    1. World Health Organization. Global epidemiological surveillance standards for influenza. 2013. [cited 2019 Nov 12]. https://www.who.int/influenza/resources/documents/WHO_Epidemiological_In...
    1. Coory MD, Kelly H, Tippett V. Assessment of ambulance dispatch data for surveillance of influenza-like illness in Melbourne, Australia. Public Health. 2009;123:163–8. 10.1016/j.puhe.2008.10.027 - DOI - PMC - PubMed
    1. Rosenkötter N, Ziemann A, Riesgo LG, Gillet JB, Vergeiner G, Krafft T, et al. Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions. BMC Public Health. 2013;13:905. 10.1186/1471-2458-13-905 - DOI - PMC - PubMed

Publication types

LinkOut - more resources