A Mathematical Model to Predict Human Microcephaly

Cagri Damar1, Ilkay Dogan2

  • 1Department of Pediatric Radiology, Faculty of Medicine, Gaziantep University.

Insights

This study developed mathematical formulas to estimate microcephaly (MiC), a condition of smaller-than-normal head circumference (HC). These formulas allow for MiC detection using a calculator, simplifying early childhood health assessments.

Area of Science:

  • Pediatrics
  • Medical Informatics
  • Biostatistics

Background:

  • Microcephaly (MiC) is characterized by head circumference (HC) measurements below established normal standards.
  • Accurate detection of MiC is crucial for monitoring child development and health outcomes.

Purpose of the Study:

  • To develop a mathematical formula for detecting microcephaly (MiC) in young children.
  • To provide a simple, accessible method for estimating head circumference (HC) percentiles.

Main Methods:

  • Utilized World Health Organization (WHO) head circumference (HC) percentile data for children aged 0-5 years.
  • Applied logarithmic regression analysis to define mathematical formulas approximating the 3rd percentile curves for boys and girls.
  • Identified models with the highest coefficient of determination (R² = 0.991 for both sexes).

Main Results:

  • Derived specific mathematical formulas for estimating HC in girls and boys based on age in months.
  • Formulas: HC = 34.025 + 3.283 * ln(age) for girls and HC = 35.475 + 3.14 * ln(age) for boys.
  • Acknowledged limitation: formulas cannot calculate HC at birth due to the natural logarithm of zero.

Conclusions:

  • Microcephaly (MiC) can be reliably estimated using the derived mathematical formulas.
  • These formulas offer a practical alternative to percentile charts, mobile apps, or internet access for HC assessment.
  • The method facilitates accessible and immediate screening for potential developmental concerns.
Abstract

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