About: The COVID-19 pandemic: a new challenge for syndromic surveillance

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About: The COVID-19 pandemic: a new challenge for syndromic surveillance Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	The COVID-19 pandemic: a new challenge for syndromic surveillance
Creator	Morbey, Roger Hughes, Helen Oliver, Isabel Smith, Gillian Elliot, Alex Smith, Sue Bains, Amardeep Harcourt, Sally Loveridge, Paul Soriano, Ana
source	Medline; PMC
abstract	The COVID-19 pandemic is exerting major pressures on society, health and social care services and science. Understanding the progression and current impact of the pandemic is fundamental to planning, management and mitigation of future impact on the population. Surveillance is the core function of any public health system, and a multi-component surveillance system for COVID-19 is essential to understand the burden across the different strata of any health system and the population. Many countries and public health bodies utilise ‘syndromic surveillance’ (using real-time, often non-specific symptom/preliminary diagnosis information collected during routine healthcare provision) to supplement public health surveillance programmes. The current COVID-19 pandemic has revealed a series of unprecedented challenges to syndromic surveillance including: the impact of media reporting during early stages of the pandemic; changes in healthcare-seeking behaviour resulting from government guidance on social distancing and accessing healthcare services; and changes in clinical coding and patient management systems. These have impacted on the presentation of syndromic outputs, with changes in denominators creating challenges for the interpretation of surveillance data. Monitoring changes in healthcare utilisation is key to interpreting COVID-19 surveillance data, which can then be used to better understand the impact of the pandemic on the population. Syndromic surveillance systems have had to adapt to encompass these changes, whilst also innovating by taking opportunities to work with data providers to establish new data feeds and develop new COVID-19 indicators. These developments are supporting the current public health response to COVID-19, and will also be instrumental in the continued and future fight against the disease.
has issue date	2020-06-18(xsd:dateTime)
bibo:doi	10.1017/s0950268820001314
bibo:pmid	32614283
has license	cc-by
sha1sum (hex)	ec08fb4d1549b17c4d149ce485ef8e20aaa717e7
schema:url	https://doi.org/10.1017/s0950268820001314
resource representing a document's title	The COVID-19 pandemic: a new challenge for syndromic surveillance
has PubMed Central identifier	PMC7338397
has PubMed identifier	32614283
schema:publication	Epidemiol Infect
resource representing a document's body	covid:ec08fb4d1549b17c4d149ce485ef8e20aaa717e7#body_text
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