The Nicaraguan pediatric influenza cohort study: design, methods, use of technology, and compliance

Aubree Gordon1, Guillermina Kuan2, William Aviles3

  • 1Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA. gordonal@umich.edu.

BMC Infectious Diseases
|November 11, 2015
PubMed

Insights

This study established the Nicaraguan Pediatric Influenza Cohort Study (NPICS) to track influenza infection rates in children. The NPICS provides valuable data on pediatric influenza in tropical, developing nations.

Area of Science:

  • Pediatric infectious diseases
  • Epidemiology
  • Global health

Background:

  • Influenza significantly impacts global health, causing widespread illness and death.
  • Limited data exists on influenza infection rates in tropical, developing countries.
  • The Nicaraguan Pediatric Influenza Cohort Study (NPICS) was established in 2011 to address this knowledge gap.

Purpose of the Study:

  • To investigate the burden and seasonality of influenza in Nicaraguan children.
  • To describe the study design, methods, and participation data of the NPICS from 2011-2013.

Main Methods:

  • Enrolled 1532 children (0-12 years) in 2011, with 401 additional enrollments between 2012-2013.
  • Provided comprehensive medical care and systematically recorded data on all medical visits.
  • Conducted annual surveys including height/weight, socio-economic status, risk factors, and breastfeeding, alongside blood sample collection.

Main Results:

  • The study successfully enrolled a large cohort of children over three years.
  • Established a comprehensive data collection system for pediatric influenza surveillance.
  • Collected detailed demographic, clinical, and biological data for influenza research.

Conclusions:

  • The NPICS developed a low-cost, open-source informatics system for efficient data management.
  • Innovative methods were created to leverage existing infrastructure for multiple studies.
  • These approaches enhance protocol adherence and quality control, valuable for low-resource settings.
Abstract

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