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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Updated: Sep 7, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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Integrated Surveillance System for Controlling COVID-19 on a University Campus, 2020‒2021.

Genevive R Meredith1, Marwan Osman1, Casey L Cazer1

  • 1Genevive R. Meredith, Kevin J. Cummings, Cecelia G. Madsen, Lara Parrilla, Yihong Li, Lorraine Francis, Isaac B. Weisfuse, and Alexander J. Travis are with the Master of Public Health Program, Cornell University, Ithaca, NY. Marwan Osman, Casey L. Cazer, and Lorin D. Warnick are with the Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University. Jason Hecht and Marin Clarkberg are with the Office of Institutional Research and Planning, Cornell University. Laura B. Santacrose and Abigail S. Dubovi are with the Skorton Center for Health Initiatives, Cornell University. Tyler Johnson is with Student and Campus Life, Cornell University. Maria D. Fitzpatrick is with the Department of Policy Analysis and Management, College of Human Ecology, Cornell University. Anne C. Jones is with Cornell Health, Cornell University. Gary A. Koretzky is with the Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University.

American Journal of Public Health
|June 21, 2022
PubMed
Summary
This summary is machine-generated.

Cornell University implemented a comprehensive COVID-19 surveillance program to maintain campus operations. This strategy effectively monitored virus spread, supported prevention, and informed policy for community safety.

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Area of Science:

  • Public Health
  • Epidemiology
  • University Health Management

Background:

  • The COVID-19 pandemic necessitated innovative strategies for higher education institutions to maintain operations while ensuring community safety.
  • Universities faced challenges in balancing public health mandates with the need for in-person activities.

Purpose of the Study:

  • To describe Cornell University's integrated surveillance approach for monitoring COVID-19 on campus.
  • To assess the effectiveness of this approach in informing policy and promoting community well-being.

Main Methods:

  • Implementation of a comprehensive surveillance system to track COVID-19.
  • Monitoring of early warning indicators related to knowledge, behaviors, and attitudes within the campus community.
  • Utilizing data for evidence-based decision-making to adjust university policies and practices.

Main Results:

  • The integrated surveillance approach provided timely information to university leadership.
  • Prompt adjustments to policies and practices were made based on surveillance data.
  • The program supported the enhancement of healthy behaviors and overall campus safety.

Conclusions:

  • An integrated campus surveillance system can effectively manage COVID-19 impacts.
  • Evidence-based decision-making is crucial for maintaining campus operations and safety.
  • Proactive monitoring and adaptive policies contribute to community well-being during a pandemic.