Data Analysis (Do)

Counting Stillbirths to Measure and Address Inequities

Counting all stillbirths The United Nations Statistics Division recommends the continuous and compulsory registration and tabulation of three vital events – births, deaths, and stillbirths – in order to obtain an accurate picture of a population’s health. This complete picture is used to facilitate evidence-based health program planning and policy development. While there are numerous […]

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How to Conduct a Gendered Root Cause Analysis

I. What is gender analysis?   Gender analysis is a structured analytical method used to detect, evaluate, and describe gender differences within a dataset. Gender analysis examines the different roles, rights, and opportunities of men, women, and non-binary people, and their interrelationships. Gender analysis uncovers disparities and gaps between genders, examines the reason behind the […]

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Identifying and Prioritizing Gender Inequities in Vital Statistics and Health Data

Health data and vital statistics together enable countries to understand their burden of disease and any changes in mortality rates and causes over time. Having this information is critical for health policy and program decision-making. Explicitly examining data for differentials in sex, gender, and other defining characteristics such as ethnicity and subnational location is critical […]

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Seminar Recording: Gender Analysis in Health Data

This seminar first aired live on April 21st, 2022. Moderator: Vidhi Maniar, Data for Health, Johns Hopkins Bloomberg School of Public Health Speakers:  Seminar Synopsis: This seminar provides an overview of what gender analysis in health data means and methods to apply gender analyses to large health datasets. The focus is on the differences between […]

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