This manuscript describes the process and impact of strengthening the WHO Regional Office for Africa (WHO AFRO)'s COVID-19 vaccination information system. This system plays a critical role in tracking vaccination coverage, guiding resource allocation and supporting vaccination campaign roll-out for countries in the African region. Recognising existing data management issues, including complex reporting prone to human error, compromised data quality and underutilisation of collected data, WHO AFRO introduced significant system improvements during the COVID-19 pandemic. These improvements include shifting from an Excel-based to an online Azure-based data collection system, automating data processing and validation, and expansion of collected data. These changes have led to improvements in data quality and quantity including a decrease in data non-validity, missingness, and record duplication, and expansion of data collection forms to include a greater number of data fields, offering a more comprehensive understanding of vaccination efforts. Finally, the creation of accessible information products-including an interactive public dashboard, a weekly data pack and a public monthly bulletin-has improved data use and reach to relevant partners. These resources provide crucial insights into the region's vaccination progress at national and subnational levels, thereby enabling data-driven decision-making to improve programme performance. Overall, the strengthening of the WHO AFRO COVID-19 vaccination information system can serve as a model for similar efforts in other WHO regions and contexts. The impact of system strengthening on data quality demonstrated here underscores the vital role of robust data collection, capacity building and management systems in achieving high-quality data on vaccine distribution and coverage. Continued investment in information systems is essential for effective and equitable public health efforts.
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http://dx.doi.org/10.1136/bmjgh-2023-014097 | DOI Listing |
JAMA
January 2025
Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania.
Importance: T helper 2 (T2) cells and T helper 17 (T17) cells are CD4+ T cell subtypes involved in asthma. Characterizing asthma endotypes based on these cell types in diverse groups is important for developing effective therapies for youths with asthma.
Objective: To identify asthma endotypes in school-aged youths aged 6 to 20 years by examining the distribution and characteristics of transcriptomic profiles in nasal epithelium.
J Acquir Immune Defic Syndr
January 2025
Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
Objective: The objective of this study is to define the neuropsychiatric challenges including developmental delay, cognitive impairment and psychiatric illness faced by children with perinatally acquired HIV.
Data Sources: Nine databases were searched on 30/05/2023: MEDLINE, Embase, and PsycINFO (all via Ovid SP); CINAHL and Child Development and Adolescent Studies (via EBSCO); the Web of Science Core Collection; Scopus; ProQuest Dissertations and Theses Global; and WHO Global Index Medicus. No limits were applied.
J Acquir Immune Defic Syndr
January 2025
Makerere University - Johns Hopkins University Research Collaboration, Kampala, Uganda.
Introduction: We assessed the risk of adverse pregnancy and birth outcomes and birth defects among women living with HIV (WLHIV) on antiretroviral therapy (ART) and HIV-negative women.
Methods: We analyzed data on live births, stillbirths, and spontaneous abortions during 2015-2021 from a hospital-based birth defects surveillance system in Kampala, Uganda. ART regimens were recorded from hospital records and maternal self-reports.
JAMA
January 2025
Department of Internal Medicine, Michigan Medicine, Ann Arbor.
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