Data Analysis
The COVID-19 pandemic has had a disproportionate and distressing effect on women and girls who have been affected across several social, economic, health and nutrition outcomes. Additionally, COVID-19 has exposed pre-existing and underlying gender inequities, which were further worsened by COVID-19 containment measures. In this study, authors conducted a theoretical gender analysis, a targeted review […]
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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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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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Monitoring inequalities in sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) is an important part of efforts to promote equity. “Inequality Monitoring in Sexual, Reproductive, Maternal, Newborn, Child and Adolescent Health: A Step by Step Manual” serves as a practical introductory guide to strengthen and build capacity for quantitative inequality monitoring in SRMNCAH. Applying […]
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These Guidelines have been prepared by UN ESCAP in 2022 as part of their Get Everyone in the Picture campaign. This downloadable manual was created to support national statistical offices, Ministries of Health, and other relevant government and non-government agencies to better estimate the completeness of civil registration and vital statistics (CRVS) systems, in particular, […]
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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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