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Related Concept Videos

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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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Related Experiment Video

Updated: May 9, 2026

Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination
15:25

Protocol for Dengue Infections in Mosquitoes (A. aegypti) and Infection Phenotype Determination

Published on: July 5, 2007

Using Routine Surveillance Data to Assess Dengue Virus Transmission Risk in Travelers Returning to the United States.

Kristyna Rysava, Zachary J Madewell, Maile B Thayer

    Emerging Infectious Diseases
    |February 19, 2026
    PubMed
    Summary

    Travel surveillance of dengue cases in US travelers identified high-risk periods, even in countries with limited official reporting. This traveler-based approach enhances global dengue monitoring and preparedness efforts.

    Keywords:
    ArboNETDengue virusUnited Statesarboviral diseasesdengue surveillanceemerging infectious diseasesmosquito-borneoutbreak detectiontravel health noticestraveler-based surveillancevector-borne infectionsviruses

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    Published on: November 1, 2018

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    Last Updated: May 9, 2026

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    08:36

    Measuring Dengue Virus RNA in the Culture Supernatant of Infected Cells by Real-time Quantitative Polymerase Chain Reaction

    Published on: November 1, 2018

    Area of Science:

    • Epidemiology
    • Global Health
    • Infectious Diseases

    Background:

    • Dengue virus presents a significant and increasing global health challenge.
    • Inconsistent local surveillance data hinders accurate global dengue risk assessments.

    Purpose of the Study:

    • To develop and validate a traveler-based surveillance method for detecting elevated dengue risk.
    • To complement existing dengue surveillance systems by utilizing travel data.

    Main Methods:

    • Analysis of 10,530 travel-associated dengue cases among US travelers reported to ArboNET (January 2010-April 2024).
    • Development of country-specific risk thresholds (75th, 80th, 90th percentiles) using negative binomial and Poisson models.
    • Application of a dual-criteria method combining percentile thresholds and a >10-case threshold over a 3-month period.

    Main Results:

    • The dual-criteria method successfully identified periods of elevated travel-associated dengue risk.
    • This approach detected sustained transmission in countries with limited official reporting, such as Cuba in 2022-2023.
    • Threshold comparisons indicated a balance between early detection and avoiding overclassification of risk.

    Conclusions:

    • Traveler-based surveillance provides a timely and complementary method for detecting travel-associated dengue risk.
    • Integrating travel surveillance into global dengue monitoring can improve preparedness efforts.
    • The timeliness of this method is dependent on minimizing reporting delays.