Data Collection
Globally, most deaths occur at home or other locations outside of health facilities, and often go unreported. This is particularly the case in countries with underdeveloped and under resourced civil registration and vital statistics (CRVS) systems. In many countries, people who die outside of health facilities are also experiencing structural inequalities and have poorer access […]
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The principle of universality and international human rights law requires governments to make civil registration services accessible to every individual within their territory. Despite these mandates, civil registration systems in low and middle-income countries (LMICs) are far from being accessible to women. Many women living in LMICs are disproportionately affected by social and cultural norms, […]
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This technical report summarizes the activities, results and lessons learned from Phase 1 of the ConVERGE (“Connecting Vital Events Registration and Gender Equality”) Initiative. Phase 1 of this initiative, which was conducted from March 2019 until April 2021, was supported by IDRC’s Centre of Excellence on CRVS Systems via a grant (Integrating Gender, Leveraging Population […]
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This seminar first aired live on May 4th, 2022 Moderator: Michelle Kaufman, PhD, Gender Equity Unit Lead, Data for Health, Johns Hopkins Bloomberg School of Public Health Speakers: This seminar introduces the Civil Registries and Vital Statistics (CRVS) Legal Review process and then provides an overview of three equity-themed chapters in GHAI’s CRVSID Legal Toolkit: […]
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This seminar first aired live on March 24, 2022. Moderator: June Sugiyama, Vodafone Americas Foundation Speakers: Many low and middle-income countries (LMICs) seek cost-effective methods to obtain timely and quality health data. One goal of the Data for Health Initiative is to find affordable, scalable solutions to cost-effective collection methods of non-communicable disease (NCD) risk […]
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Sex is a crucial determinant of health, and it has been proven that disease outcomes, occurrences, and health care needs differ for women and men. Sex disaggregated data are typically collected and analyzed in two biological categories: males and females, and then used to develop programs and policies to improve health outcomes. However, sex disaggregated […]
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