Empowering African Expertise: Enhancing Safety Data Integration and Signal Detection for COVID-19 Vaccines Through the African Union Smart Safety Surveillance Joint Signal Management Group.

IF 4 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Drug Safety Pub Date : 2025-03-01 Epub Date: 2025-01-22 DOI:10.1007/s40264-024-01493-7
Victoria Prudence Nambasa, Hannah May Gunter, Modupe Bamidele Adeyemo, Neetesh Yanish Bhawaneedin, Marc Blockman, George Tsey Sabblah, John Owusu Gyapong, Eric Muriithi Guantai, Tamrat Abebe, Workeabeba Abebe, Henry Jeremy Lawson, Mercedes Chawada Leburu, Abdullahi Mohammed, Kwame Amponsa-Achiano, Mafora Florah Matlala, Uchenna Geraldine Elemuwa, Hudu Mogtari, Alexander Kwadwo Nyarko, Marione Schönfeldt, Mercy Kamupira, Kerrigan McCarthy, Yohannes Lakew Tefera, Asnakech Alemu, Kabir Mawashi Yusuf, Obi Emelife, Ladji Sidibe, Kudakwashe Dandajena, Kenneth Onu, Mojisola Christianah Adeyeye, Delese Mimi Darko, Heran Gerba, Boitumelo Semete, Fred Siyoi, Aggrey Ambali, Johanna Catharina Meyer
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引用次数: 0

Abstract

Introduction: The COVID-19 pandemic accelerated new vaccine development. Limited safety data necessitated robust global safety surveillance to accurately identify and promptly communicate potential safety issues. The African Union Smart Safety Surveillance (AU-3S) program established the Joint Signal Management (JSM) group to support identification of potential vaccine safety concerns in five pilot countries (Ethiopia, Ghana, Kenya, Nigeria, South Africa), accounting for approximately 35% of the African population.

Objective: Our objective was to provide an overview of the JSM group's role in supporting signal management activities for the AU-3S program during the COVID-19 pandemic.

Methods: Spontaneous, electronically reported COVID-19 vaccine adverse events following immunization (AEFI) from each country's safety data were integrated into the interim Data Integration and Signal Detection system. Statistical disproportionality methods were used to identify and review vaccine-event combinations (VECs) for potential safety concerns. The JSM group-which comprised pharmacovigilance and subject matter experts from National Medicine Regulatory Authorities, Expanded Programs on Immunization, and vaccine safety committees-conducted signal detection activities on cross-country safety data and provided recommendations.

Results: From April 2021 to December 2023, a total of 48,294 spontaneously reported AEFI were analyzed for six COVID-19 vaccines (NRVV Ad [ChAdOx1 nCoV-19]; Ad26.COV2.S; Elasomeran; Tozinameran; Covid-19 vaccine [Vero Cell], Inactivated; NRVV Ad26 [Gam-Covid-Vac]) administered in Ethiopia (34.6%), Nigeria (30.3%), South Africa (16.9%), Ghana (13.5%), and Kenya (4.7%). Overall, 2,742 VECs were validated. A causal association between the COVID-19 vaccines and the reported AEFI cannot be inferred, as data were reported spontaneously. JSM group recommendations included monitoring for further evidence, no immediate action required, engaging marketing authorization holder(s) for additional information, or sensitizing healthcare providers and/or the public about events. Although no new safety signals were identified, nine safety-related recommendations were issued, including patient and healthcare provider education.

Conclusions: The JSM group established a scalable and replicable model for future signal management of other priority health products in low- and middle-income countries, fostering ongoing collaboration and capacity building. Knowledge and experience gained from this pilot initiative will guide stakeholders in future safety surveillance initiatives within the African continent.

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来源期刊
Drug Safety
Drug Safety 医学-毒理学
CiteScore
7.60
自引率
7.10%
发文量
112
审稿时长
6-12 weeks
期刊介绍: Drug Safety is the official journal of the International Society of Pharmacovigilance. The journal includes: Overviews of contentious or emerging issues. Comprehensive narrative reviews that provide an authoritative source of information on epidemiology, clinical features, prevention and management of adverse effects of individual drugs and drug classes. In-depth benefit-risk assessment of adverse effect and efficacy data for a drug in a defined therapeutic area. Systematic reviews (with or without meta-analyses) that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by the PRISMA statement. Original research articles reporting the results of well-designed studies in disciplines such as pharmacoepidemiology, pharmacovigilance, pharmacology and toxicology, and pharmacogenomics. Editorials and commentaries on topical issues. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Drug Safety Drugs may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.
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