Replication Data for: Effectiveness of Rotarix® vaccine in Africa in the first decade of progressive introduction, 2009-2019: systematic review and meta-analysis

Version 2.0
Replication Data for: Effectiveness of Rotarix® vaccine in Africa in the first decade of progressive introduction, 2009-2019: systematic review and meta-analysis
Murunga, Nickson; Otieno, Grieven P.; Maia, Marta F.; Agoti, Charles N., 2020, "Replication Data for: Effectiveness of Rotarix® vaccine in Africa in the first decade of progressive introduction, 2009-2019: systematic review and meta-analysis", https://doi.org/10.7910/DVN/WJOF7N, Harvard Dataverse, V2, UNF:6:Q1+MU8Loq14f+U0UV+IZMA== [fileUNF]
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Description

These data are part of published articles from PubMed which reported on the effectiveness of the rotavirus vaccine in Africa between 2009 and 2019. It contains included studies on their study design, sample size, country, vaccine type, age groups, cases vaccinated, controls vaccinated, reported vaccine effectiveness, and 95% confidence intervals (CIs).

Subject Medicine, Health and Life Sciences
Related Publication Effectiveness of Rotarix® vaccine in Africa in the first decade of progressive introduction, 2009-2019: systematic review and meta-analysis. ~ manuscript in preparation
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This data is licensed under the Creative Commons Attribution 4.0 International

For more information on these data, please contact the author via Nickson Murunga [nmurunga@kemri-wellcome.org], Grieven P. Otieno[GPOtieno@kemri-wellcome.org],Charles N. Agoti [CNyaigoti@kemri-wellcome.org] or the data governance office via this email address: dgc@kemri-wellcome.org

Publications based on this data collection should acknowledge this source by means of bibliographic citation.
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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms - the following Custom Dataset Terms have been defined for this dataset.

This data is licensed under the Creative Commons Attribution 4.0 International

For more information on these data, please contact the author via Nickson Murunga [nmurunga@kemri-wellcome.org], Grieven P. Otieno[GPOtieno@kemri-wellcome.org],Charles N. Agoti [CNyaigoti@kemri-wellcome.org] or the data governance office via this email address: dgc@kemri-wellcome.org

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