ArticleEpidemiology and infection2020
The COVID-19 pandemic: a new challenge for syndromic surveillance.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Emergency department syndromic surveillance systems: a systematic review.BMC public health · 2020Pooled it
- An adaptive method of emergency department syndromic surveillance to nowcast the frequency of presentations that will have a severe 28-day outcome following influenza or COVID-19 infection: a retrospective analytical record linkage study.American journal of epidemiology · 2026Article
- Article
- The Eat-Out-to-Help-Out incentive: A trigger for gastrointestinal infections in England, 2020?Epidemiology and infection · 2025Article
- Evaluation of Kindergarten Through Grade 12 All-Cause Absenteeism Data as an Indicator and Predictor of Respiratory Disease, 2018-2022.Public health reports (Washington, D.C. : 1974) · 2025Article
- Did COVID-19 surveillance system sensitivity change after Omicron? a retrospective observational study in England.BMC infectious diseases · 2025Observational
- From Fax to Secure File Transfer Protocol: The 25-Year Evolution of Real-Time Syndromic Surveillance in England.Journal of medical Internet research · 2024Article
- Factors Associated With Surveillance Testing in Individuals With COVID-19 Symptoms During the Last Leg of the Pandemic: Multivariable Regression Analysis.JMIR public health and surveillance · 2024Article
- Electronic Health Record-Based Algorithm for Monitoring Respiratory Virus-Like Illness.Emerging infectious diseases · 2024Review
- What data collection methods work best for COVID19 outbreak surveillance for people with end stage kidney disease? An observational cohort study using the UK Renal Registry.BMC nephrology · 2023Observational
- Changes in emergency department utilisation in Germany before and during different phases of the COVID-19 pandemic, using data from a national surveillance system up to June 2021.BMC public health · 2023Article
- Retrospective Modeling of the Omicron Epidemic in Shanghai, China: Exploring the Timing and Performance of Control Measures.Tropical medicine and infectious disease · 2023Article
- Regional Trends of COVID-19-Like Illness-Related Emergency Department Visits in North Carolina, March 1, 2020-November 30, 2020.North Carolina medical journal · 2023Article
- Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease.PLoS computational biology · 2022Article
- Mental Health Presentations Across Health Care Settings During the First 9 Months of the COVID-19 Pandemic in England: Retrospective Observational Study.JMIR public health and surveillance · 2022Observational
- Using routine emergency department data for syndromic surveillance of acute respiratory illness, Germany, week 10 2017 until week 10 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022Article
- The Use of a Self-triage Tool to Predict COVID-19 Cases and Hospitalizations in the State of Georgia.The western journal of emergency medicine · 2022Article
- [Diagnostic protocol for febrile syndrome of respiratory origin in geographical areas of endemic risk of tropical infections].Medicine · 2022Article
- Improvement of the Japanese healthcare data system for the effective management of patients with COVID-19: A national survey.International journal of medical informatics · 2022Article
- A comparison of coronavirus disease 2019 and seasonal influenza surveillance in five European countries: France, Germany, Italy, Spain and the United Kingdom.Influenza and other respiratory viruses · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.