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Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019

BACKGROUND: Children in sub-Saharan Africa (SSA) remain the most vulnerable to malaria and malaria mortality. This study estimated the disease burden and distribution of Plasmodium falciparum malaria among children with age categories (0 to < 2 years, 2 to < 6 years, 6 to < 12 years, ≥ 12 y...

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Autores principales: Oshagbemi, Olorunfemi A., Lopez-Romero, Pedro, Winnips, Cornelis, Csermak, Katalin R., Su, Guoqin, Aubrun, Elodie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696666/
http://dx.doi.org/10.1186/s12936-023-04811-z
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author Oshagbemi, Olorunfemi A.
Lopez-Romero, Pedro
Winnips, Cornelis
Csermak, Katalin R.
Su, Guoqin
Aubrun, Elodie
author_facet Oshagbemi, Olorunfemi A.
Lopez-Romero, Pedro
Winnips, Cornelis
Csermak, Katalin R.
Su, Guoqin
Aubrun, Elodie
author_sort Oshagbemi, Olorunfemi A.
collection PubMed
description BACKGROUND: Children in sub-Saharan Africa (SSA) remain the most vulnerable to malaria and malaria mortality. This study estimated the disease burden and distribution of Plasmodium falciparum malaria among children with age categories (0 to < 2 years, 2 to < 6 years, 6 to < 12 years, ≥ 12 years) in SSA. METHODS: Data on the number of cases and incidence rates of P. falciparum malaria by age group from the Institute of Health Metrics and Evaluation (GBD 2019) for 11 countries in SSA was employed in this study. The best-fitting distribution of P. falciparum malaria cases by prespecified age categories was derived using a combination of a Log-normal and Weibull distribution. RESULTS: Plasmodium falciparum malaria was 15.4% for ages 0 to < 2 years, 30.5% for 2 to < 6 years, 17.6% for 6 to < 12 years, and 36.5% for ≥ 12 years based on data from countries in SSA. The results have important implications for the current drive by the FDA and EMA to ensure the representativeness of real-world populations in clinical trials evaluating the safety and efficacy of medication exposure. CONCLUSIONS: The theoretical distributions of P. falciparum malaria will help guide researchers in ensuring that children are appropriately represented in clinical trials and other interventions aiming to address the current burden of malaria in SSA.
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spelling pubmed-106966662023-12-06 Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019 Oshagbemi, Olorunfemi A. Lopez-Romero, Pedro Winnips, Cornelis Csermak, Katalin R. Su, Guoqin Aubrun, Elodie Malar J Research BACKGROUND: Children in sub-Saharan Africa (SSA) remain the most vulnerable to malaria and malaria mortality. This study estimated the disease burden and distribution of Plasmodium falciparum malaria among children with age categories (0 to < 2 years, 2 to < 6 years, 6 to < 12 years, ≥ 12 years) in SSA. METHODS: Data on the number of cases and incidence rates of P. falciparum malaria by age group from the Institute of Health Metrics and Evaluation (GBD 2019) for 11 countries in SSA was employed in this study. The best-fitting distribution of P. falciparum malaria cases by prespecified age categories was derived using a combination of a Log-normal and Weibull distribution. RESULTS: Plasmodium falciparum malaria was 15.4% for ages 0 to < 2 years, 30.5% for 2 to < 6 years, 17.6% for 6 to < 12 years, and 36.5% for ≥ 12 years based on data from countries in SSA. The results have important implications for the current drive by the FDA and EMA to ensure the representativeness of real-world populations in clinical trials evaluating the safety and efficacy of medication exposure. CONCLUSIONS: The theoretical distributions of P. falciparum malaria will help guide researchers in ensuring that children are appropriately represented in clinical trials and other interventions aiming to address the current burden of malaria in SSA. BioMed Central 2023-12-05 /pmc/articles/PMC10696666/ http://dx.doi.org/10.1186/s12936-023-04811-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Oshagbemi, Olorunfemi A.
Lopez-Romero, Pedro
Winnips, Cornelis
Csermak, Katalin R.
Su, Guoqin
Aubrun, Elodie
Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title_full Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title_fullStr Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title_full_unstemmed Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title_short Estimated distribution of malaria cases among children in sub-Saharan Africa by specified age categories using data from the Global Burden of Diseases 2019
title_sort estimated distribution of malaria cases among children in sub-saharan africa by specified age categories using data from the global burden of diseases 2019
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696666/
http://dx.doi.org/10.1186/s12936-023-04811-z
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