Global

The new Building Responsive Investments in Data for Gender Equality (BRIDGE) Tool

The BRIDGE Tool assessment consists of four key components: For additional information about the project and for questions about any of the products above, please contact Lorenz Noe and Tawheeda Wahabzada at Open Data Watch.

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Preventing and Addressing Stillbirths Along the Continuum of Care: A Global Advocacy and Implementation Guide

Almost 2 million stillbirths occurred globally in 2021. This number may be an underestimate since stillbirths are quite often not reported. Two in five of these births occur during labour. While some progress has been made in reducing the global stillbirth rate, substantial disparities persist between and within regions and countries, with the most vulnerable […]

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WHO Health Inequality Data Repository

Explore health inequality monitoring evidence, tools, resources and training here: https://www.who.int/data/inequality-monitor/data

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The Disconnect Between Gender-Transformative Language and Action in Global Health

For over two decades, there have been conversations on and commitments to addressing gender inequities in global health. However, these commitments have not brought the necessary change to the structural and systemic drivers of gender inequities. This think piece by Dr. Anju Malhotra, UNU-IIGH, reflects on the reasons and provides three potential action points that […]

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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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