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Sentinel Surveillance

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Monitoring of rate of occurrence of specific conditions to assess the stability or change in health levels of a population.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (944 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Monitoring of rate of occurrence of specific conditions to assess the stability or change in health levels of a population. It is also the study of disease rates in a specific cohort such as in a geographic area or population subgroup to estimate trends in a larger population. (From Last, Dictionary of Epidemiology, 2d ed)

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Surveillance, Sentinel; Biosurveillance Systems; Biosurveillance System; Syndromic Surveillance; Surveillance, Syndromic; Sentinel Health Event; Health Event, Sentinel.

Where it fits in the MeSH classification

Broader topics
Population Surveillance; Epidemiologic Methods; Pandemic Preparedness

Research landscape

PubMed indexes 7,318 records tagged with the MeSH heading “Sentinel Surveillance” (counts retrieved 2026-10-29). 969 of them (13.2%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 3,359 records.

Reviews account for 569 records (7.8%) and meta-analyses for 21. Randomized controlled trials number 20 (0.3%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 375 records; 2000-2009: 2,615 records; 2010-2019: 3,359 records; 2020 onward: 969 records375through 19992,6152000-20093,3592010-20199692020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 1999375
2000-20092,615
2010-20193,359
2020 onward969
Share of records by publication typeReviews: 7.8 percent; Meta-analyses: 0.3 percent; Randomized controlled trials: 0.3 percentReviews7.8% (569)Meta-analyses0.3% (21)Randomized controlled trials0.3% (20)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 7,318 PubMed records
TypeRecordsShare
Reviews5697.8%
Meta-analyses210.3%
Randomized controlled trials200.3%

Method: PubMed query "Sentinel Surveillance"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Impact of the COVID-19 Pandemic on Emergency Department Visits - United States, January 1, 2019-May 30, 2020
Hartnett KP, Kite-Powell A, DeVies J, Coletta MA, Boehmer TK, Adjemian J, et al.
2020Research article
Design not recorded in structured metadata
887cc by
PMID 32525856 · DOI · PMC7315789
Evidence for Limited Early Spread of COVID-19 Within the United States, January-February 2020
CDC COVID-19 Response Team, Jorden MA, Rudman SL, Villarino E, Hoferka S, Patel MT, et al.
2020Research article
Design not recorded in structured metadata
125cc by
PMID 32497028 · DOI · PMC7315848
Very little influenza in the WHO European Region during the 2020/21 season, weeks 40 2020 to 8 2021
Adlhoch C, Mook P, Lamb F, Ferland L, Melidou A, Amato-Gauci AJ, et al.
2021Research article
Design not recorded in structured metadata
80cc by
PMID 33739256 · DOI · PMC7976381
Demographic and Clinicopathologic Factors Associated With Colorectal Adenoma Recurrence
Awan UA, Song Q, Ciombor KK, Toriola AT, Choi J, Su T, et al.
2026Research article
Design not recorded in structured metadata
10cc by
PMID 41637071 · DOI · PMC12873766

Impact of the COVID-19 Pandemic on Emergency Department Visits - United States, January 1, 2019-May 30, 2020 [1]

Research article Hartnett KP, Kite-Powell A, DeVies J, Coletta MA, Boehmer TK, Adjemian J, et al. · · 2020 · cited 887 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
On March 13, 2020, the United States declared a national emergency to combat coronavirus disease 2019 (COVID-19).
Closing excerpt
To minimize SARS-CoV-2, the virus that causes COVID-19, transmission risk and address public concerns about visiting the ED during the pandemic, CDC recommends continued use of virtual visits and triage help lines and adherence to CDC infection control guidance.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (201 words)

On March 13, 2020, the United States declared a national emergency to combat coronavirus disease 2019 (COVID-19). As the number of persons hospitalized with COVID-19 increased, early reports from Austria (1), Hong Kong (2), Italy (3), and California (4) suggested sharp drops in the numbers of persons seeking emergency medical care for other reasons. To quantify the effect of COVID-19 on U.S. emergency department (ED) visits, CDC compared the volume of ED visits during four weeks early in the pandemic March 29-April 25, 2020 (weeks 14 to 17; the early pandemic period) to that during March 31-April 27, 2019 (the comparison period). During the early pandemic period, the total number of U.S. ED visits was 42% lower than during the same period a year earlier, with the largest declines in visits in persons aged ≤14 years, females, and the Northeast region. Health messages that reinforce the importance of immediately seeking care for symptoms of serious conditions, such as myocardial infarction, are needed. To minimize SARS-CoV-2, the virus that causes COVID-19, transmission risk and address public concerns about visiting the ED during the pandemic, CDC recommends continued use of virtual visits and triage help lines and adherence to CDC infection control guidance.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32525856 · DOI · PMC7315789

Evidence for Limited Early Spread of COVID-19 Within the United States, January-February 2020 [2]

Research article CDC COVID-19 Response Team, Jorden MA, Rudman SL, Villarino E, Hoferka S, Patel MT, et al. · · 2020 · cited 125 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
From January 21 through February 23, 2020, public health agencies detected 14 U.
Closing excerpt
The widespread emergence of COVID-19 throughout the United States after February highlights the importance of robust public health systems to respond rapidly to emerging infectious threats.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (321 words)

From January 21 through February 23, 2020, public health agencies detected 14 U.S. cases of coronavirus disease 2019 (COVID-19), all related to travel from China (1,2). The first nontravel-related U.S. case was confirmed on February 26 in a California resident who had become ill on February 13 (3). Two days later, on February 28, a second nontravel-related case was confirmed in the state of Washington (4,5). Examination of four lines of evidence provides insight into the timing of introduction and early transmission of SARS-CoV-2, the virus that causes COVID-19, into the United States before the detection of these two cases. First, syndromic surveillance based on emergency department records from counties affected early by the pandemic did not show an increase in visits for COVID-19-like illness before February 28. Second, retrospective SARS-CoV-2 testing of approximately 11,000 respiratory specimens from several U.S. locations beginning January 1 identified no positive results before February 20. Third, analysis of viral RNA sequences from early cases suggested that a single lineage of virus imported directly or indirectly from China began circulating in the United States between January 18 and February 9, followed by several SARS-CoV-2 importations from Europe. Finally, the occurrence of three cases, one in a California resident who died on February 6, a second in another resident of the same county who died February 17, and a third in an unidentified passenger or crew member aboard a Pacific cruise ship that left San Francisco on February 11, confirms cryptic circulation of the virus by early February. These data indicate that sustained, community transmission had begun before detection of the first two nontravel-related U.S. cases, likely resulting from the importation of a single lineage of virus from China in late January or early February, followed by several importations from Europe. The widespread emergence of COVID-19 throughout the United States after February highlights the importance of robust public health systems to respond rapidly to emerging infectious threats.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32497028 · DOI · PMC7315848

Very little influenza in the WHO European Region during the 2020/21 season, weeks 40 2020 to 8 2021 [3]

Research article Adlhoch C, Mook P, Lamb F, Ferland L, Melidou A, Amato-Gauci AJ, et al. · · 2021 · cited 80 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Between weeks 40 2020 and 8 2021, the World Health Organization European Region experienced a 99.
Closing excerpt
This might possibly continue during the remainder of the influenza season.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (83 words)

Between weeks 40 2020 and 8 2021, the World Health Organization European Region experienced a 99.8% reduction in sentinel influenza virus positive detections (33/25,606 tested; 0.1%) relative to an average of 14,966/39,407 (38.0%; p < 0.001) over the same time in the previous six seasons. COVID-19 pandemic public health and physical distancing measures may have extinguished the 2020/21 European seasonal influenza epidemic with just a few sporadic detections of all viral subtypes. This might possibly continue during the remainder of the influenza season.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33739256 · DOI · PMC7976381

Demographic and Clinicopathologic Factors Associated With Colorectal Adenoma Recurrence [4]

Research article Awan UA, Song Q, Ciombor KK, Toriola AT, Choi J, Su T, et al. · · 2026 · cited 10 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportanceCurrent colorectal surveillance guidelines emphasize adenoma characteristics but overlook temporal, racial, and sex-based heterogeneity in recurrence risk, a gap that limits equitable and personalized care.
Closing excerpt
Conclusions and relevanceBoth histopathologic features and demographic factors demonstrated distinct time-dependent patterns in adenoma recurrence, underscoring the need for surveillance strategies that account for temporal variation and population-specific risk profiles.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (339 words)

ImportanceCurrent colorectal surveillance guidelines emphasize adenoma characteristics but overlook temporal, racial, and sex-based heterogeneity in recurrence risk, a gap that limits equitable and personalized care.ObjectiveTo evaluate the associations of demographic factors, obesity, and adenoma features with recurrence risk over time in a large longitudinal surveillance cohort.Design, setting, and participantsThis retrospective cohort study included adults who underwent their first colonoscopic polypectomy between January 1990 and July 2024 at a tertiary medical center.ExposuresDemographic variables included race and ethnicity, sex, obesity (body mass index >30), family history of colorectal cancer (CRC) or polyps, and age at adenoma onset (Main outcomes and measuresThe primary outcome was recurrence-free survival, defined as time from initial polypectomy to histologically confirmed recurrence. Time-varying coefficient Cox models were fitted to handle the nonconstant associations of exposure over the follow-up time. The follow-up time was categorized into 3 periods (less than 5 years, 5 to 10 years, and 10 or more years). The heterogeneity of exposure associations across the 3 follow-up periods was assessed with likelihood ratio tests.ResultsAmong 59 667 patients (mean [SD] age, 60 years [11.2]; 29 401 [49.3%] female; 1007 [1.7%] Asian and Pacific Islander, 646 [1.1%] Hispanic, 5972 [10.0%] non-Hispanic Black, and 52 042 [87.2%] non-Hispanic White; median [IQR] follow-up, 4 [1-9] years), 17 596 (29.5%) experienced overall recurrence within 5 years. High-grade dysplasia demonstrated the largest early phase association (adjusted hazard ratio [aHR], 4.00; 95% CI, 3.56-4.50) with complete midterm and late attenuation, while villous histology exhibited biphasic patterns with early elevation (aHR, 2.89; 95% CI, 2.63-3.18) and late-phase (>10 years) reemergence (aHR, 2.71; 95% CI, 2.15-3.41). Obesity conferred persistent risk across all surveillance intervals (early: aHR, 1.16; 95% CI, 1.11-1.21; late: aHR, 1.22; 95% CI, 1.09-1.35). Female patients with high-risk adenomas exhibited marked late-term (>10 years) elevation exceeding male patients (female patients: aHR, 1.73; 95% CI, 1.43-2.08 vs male patients: aHR, 1.29; 95% CI, 1.06-1.58).Conclusions and relevanceBoth histopathologic features and demographic factors demonstrated distinct time-dependent patterns in adenoma recurrence, underscoring the need for surveillance strategies that account for temporal variation and population-specific risk profiles.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41637071 · DOI · PMC12873766

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article The new global map of human brucellosis [5]
    Pappas G, Papadimitriou P, Akritidis N, Christou L, Tsianos EV · Lancet Infect Dis · 2006 · cited 1,359 times (Europe PMC)
  • Research article Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studies [6]
    Belongia EA, Simpson MD, King JP, Sundaram ME, Kelley NS, Osterholm MT, et al. · Lancet Infect Dis · 2016 · cited 588 times (Europe PMC)
  • Research article Urine markers for bladder cancer surveillance: a systematic review [7]
    van Rhijn BW, van der Poel HG, van der Kwast TH · Eur Urol · 2005 · cited 364 times (Europe PMC)
  • Research article Seasonality of infectious diseases [8]
    Fisman DN · Annu Rev Public Health · 2007 · cited 273 times (Europe PMC)
  • Research article Acquired carbapenemases in Gram-negative bacterial pathogens: detection and surveillance issues [9]
    Miriagou V, Cornaglia G, Edelstein M, Galani I, Giske CG, Gniadkowski M, et al. · Clin Microbiol Infect · 2010 · cited 237 times (Europe PMC)
  • Research article Demonstrating freedom from disease using multiple complex data sources 1: a new methodology based on scenario trees [10]
    Martin PA, Cameron AR, Greiner M · Prev Vet Med · 2007 · cited 201 times (Europe PMC)

References

  1. Hartnett KP, Kite-Powell A, DeVies J, Coletta MA, Boehmer TK, Adjemian J, et al.. Impact of the COVID-19 Pandemic on Emergency Department Visits - United States, January 1, 2019-May 30, 2020. . 2020. PMID 32525856 · DOI · PMC7315789
  2. CDC COVID-19 Response Team, Jorden MA, Rudman SL, Villarino E, Hoferka S, Patel MT, et al.. Evidence for Limited Early Spread of COVID-19 Within the United States, January-February 2020. . 2020. PMID 32497028 · DOI · PMC7315848
  3. Adlhoch C, Mook P, Lamb F, Ferland L, Melidou A, Amato-Gauci AJ, et al.. Very little influenza in the WHO European Region during the 2020/21 season, weeks 40 2020 to 8 2021. . 2021. PMID 33739256 · DOI · PMC7976381
  4. Awan UA, Song Q, Ciombor KK, Toriola AT, Choi J, Su T, et al.. Demographic and Clinicopathologic Factors Associated With Colorectal Adenoma Recurrence. . 2026. PMID 41637071 · DOI · PMC12873766
  5. Pappas G, Papadimitriou P, Akritidis N, Christou L, Tsianos EV. The new global map of human brucellosis. Lancet Infect Dis. 2006. PMID 16439329 · DOI
  6. Belongia EA, Simpson MD, King JP, Sundaram ME, Kelley NS, Osterholm MT, et al.. Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studies. Lancet Infect Dis. 2016. PMID 27061888 · DOI
  7. van Rhijn BW, van der Poel HG, van der Kwast TH. Urine markers for bladder cancer surveillance: a systematic review. Eur Urol. 2005. PMID 15925067 · DOI
  8. Fisman DN. Seasonality of infectious diseases. Annu Rev Public Health. 2007. PMID 17222079 · DOI
  9. Miriagou V, Cornaglia G, Edelstein M, Galani I, Giske CG, Gniadkowski M, et al.. Acquired carbapenemases in Gram-negative bacterial pathogens: detection and surveillance issues. Clin Microbiol Infect. 2010. PMID 20085605 · DOI
  10. Martin PA, Cameron AR, Greiner M. Demonstrating freedom from disease using multiple complex data sources 1: a new methodology based on scenario trees. Prev Vet Med. 2007. PMID 17224193 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

7,318
PubMed records on this heading
13%
published since 2020
569
review articles
20
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Public Health SurveillanceClinical Research
  • Behavioral Risk Factor Surveillance SystemClinical Research
  • Health SurveysClinical Research
  • APACHEClinical Research
  • Electronic Health RecordsClinical Research

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