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Related Experiment Video

Updated: Dec 27, 2025

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
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Data on dengue incidence in South-eastern Brazil, 2014-2018.

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Data in Brief
|February 26, 2020
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Summary

Routine dengue surveillance often underestimates disease incidence. A four-year cohort study in Brazil improved dengue incidence estimates by tracking children and adolescents, revealing more accurate disease figures.

Keywords:
BrazilCohort studyDengueIncidenceSeroprevalence

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Area of Science:

  • Public Health
  • Epidemiology
  • Infectious Diseases

Background:

  • Routine surveillance systems frequently underestimate dengue incidence due to underreporting.
  • Factors contributing to underreporting include mild/asymptomatic cases, non-specific symptoms, healthcare access limitations, and surveillance system performance.
  • Accurate dengue incidence data is crucial for effective public health interventions.

Purpose of the Study:

  • To establish a cohort of children and adolescents to accurately assess dengue incidence over four years.
  • To describe the methodology and dataset of a dengue incidence cohort study in Brazil.
  • To provide a robust dataset for analyzing dengue seroprevalence and incidence.

Main Methods:

  • A prospective cohort study involving children and adolescents followed for four years (2014-2018).
  • A two-stage sampling procedure involving random selection of census tracts and participants within age groups.
  • Weekly phone-based fever surveillance, with home visits for symptomatic individuals, including blood sample collection for dengue diagnosis (IgG, IgM, NS1, PCR) and annual serology.

Main Results:

  • The study established a comprehensive dataset on dengue incidence and seroprevalence in a pediatric population.
  • Detailed epidemiological and clinical data were collected, alongside socio-demographic and environmental factors.
  • The cohort data allows for in-depth analysis of dengue transmission dynamics and risk factors.

Conclusions:

  • The cohort study provides a more accurate estimation of dengue incidence compared to routine surveillance.
  • The dataset is valuable for understanding dengue epidemiology and informing control strategies.
  • Further analysis of the cohort data can elucidate associations between dengue outcomes and explanatory variables.