AI Article Synopsis

  • The EFGH surveillance study aims to accurately estimate diarrhea incidence in children aged 6-35 months by considering both the population at risk and those who don't seek medical care.
  • It will utilize a combination of facility-based surveillance and population-based surveys to determine the size of the target population and healthcare-seeking behaviors.
  • The study design addresses challenges like discrepancies in coverage, seasonal changes, and variations in health-seeking behavior to improve the accuracy of its findings over a 24-month period.

Article Abstract

Background: Accurate estimation of diarrhea incidence from facility-based surveillance requires estimating the population at risk and accounting for case patients who do not seek care. The Enterics for Global Health (EFGH) surveillance study will characterize population denominators and healthcare-seeking behavior proportions to calculate incidence rates of diarrhea in children aged 6-35 months across 7 sites in Africa, Asia, and Latin America.

Methods: The Enterics for Global Health (EFGH) surveillance study will use a hybrid surveillance design, supplementing facility-based surveillance with population-based surveys to estimate population size and the proportion of children with diarrhea brought for care at EFGH health facilities. Continuous data collection over a 24 month period captures seasonality and ensures representative sampling of the population at risk during the period of facility-based enrollments. Study catchment areas are broken into randomized clusters, each sized to be feasibly enumerated by individual field teams.

Conclusions: The methods presented herein aim to minimize the challenges associated with hybrid surveillance, such as poor parity between survey area coverage and facility coverage, population fluctuations, seasonal variability, and adjustments to care-seeking behavior.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962723PMC
http://dx.doi.org/10.1093/ofid/ofae018DOI Listing

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