DHS.rates

DHS.rates computes demographic and health indicators from Demographic and Health Surveys (DHS) data to quantify fertility and childhood mortality and to estimate sampling error for survey-based inference.


Key Features:

  • Comprehensive indicator calculation: Computes fertility indicators (total fertility rate, general fertility rate, age-specific fertility rates) and childhood mortality indicators (neonatal mortality rate, post-neonatal mortality rate, infant mortality rate, child mortality rate, and under-5 mortality rate).
  • National and subnational analysis: Produces estimates at both national and subnational geographic levels.
  • Sampling error assessment: Calculates standard error, design effect, relative standard error, and confidence intervals for each demographic indicator.
  • Applicability to other surveys: Adapts indicator and sampling error calculations for other population surveys such as the Multiple Indicator Cluster Survey (MICS).

Scientific Applications:

  • Demographic and health research: Provides standardized computations of fertility and childhood mortality indicators for population health studies.
  • Public health planning and policy: Supplies indicator estimates and associated uncertainty measures to inform health policy formulation and program evaluation.
  • Survey inference and quality assessment: Enables assessment of sampling variability and design effects to support valid statistical inference from survey data.

Methodology:

Implements statistical methods tailored for survey data analysis, automating indicator calculations and sampling error estimation.

Topics

Details

License:
GPL-2.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
5/29/2019
Last Updated:
11/25/2024

Operations

Publications

Elkasabi M. Calculating fertility and childhood mortality rates from survey data using the DHS.rates R package. PLOS ONE. 2019;14(5):e0216403. doi:10.1371/journal.pone.0216403. PMID:31125337. PMCID:PMC6534308.

Documentation