A framework to model global, regional, and national estimates of intimate partner violence.

ABSTRACT:

Background

Accurate and reliable estimates of violence against women form the backbone of global and regional monitoring efforts to eliminate this human right violation and public health problem. Estimating the prevalence of intimate partner violence (IPV) is challenging due to variations in case definition and recall period, surveyed populations, partner definition, level of age disaggregation, and survey representativeness, among others. In this paper, we aim to develop a sound and flexible statistical modeling framework for global, regional, and national IPV statistics.

Methods

We modeled IPV within a Bayesian multilevel modeling framework, accounting for heterogeneity of age groups using age-standardization, and age patterns and time trends using splines functions. Surve

SUBMITTER: Maheu-Giroux M 

PROVIDER: S-EPMC9158349 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature