School of Health and Related Research (ScHARR), University of Sheffield, Sheffield S1 4AD, UK.
Department of Liberal Studies, College of Business and Administrative Studies, Niger State Polytechnic, Bida Campus, Bida 912231, Nigeria.
Int J Environ Res Public Health. 2021 Feb 22;18(4):2119. doi: 10.3390/ijerph18042119.
BACKGROUND/PURPOSE: In recent times, Sub-Saharan Africa (SSA) had been rated by the World Health Organization (WHO) as the most malaria-endemic region in the world. Evidence synthesis of the factors associated with malaria among children aged under-five in SSA is urgently needed. This would help to inform decisions that policymakers and executors in the region need to make for the effective distribution of scarce palliative resources to curb the spread of the illness. This scoping review is aimed at identifying studies that have used multivariate classical regression analysis to determine the predictors associated with malaria among children under five years old in SSA.
METHODS/DESIGN: The search terms followed population, intervention, comparator, outcome, timing, setting (PICOTS), and were used in searching through the following databases: PubMed, MEDLINE, Web of Science, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Scopus, and Measure DHS. The databases were searched for published articles from January 1990 to December 2020.
Among the 1154 studies identified, only thirteen (13) studies met the study's inclusion criteria. Narrative syntheses were performed on the selected papers to synchronize the various predictors identified. Factors ranging from child-related (age, birth order and use of a bed net), parental/household-related (maternal age and education status, household wealth index) and community-related variables (community wealth status, free bed net distribution) were some of the identified significant predictors.
It is timely to have a synthesis of predictors that influence the malaria status of children under-five in SSA. The outcome of the review will increase the knowledge of the epidemiology of morbidity that will form the basis for designing efficient and cost-effective distribution of palliatives and control of malaria in SSA.
背景/目的：最近，世界卫生组织（WHO）将撒哈拉以南非洲（SSA）评为世界上疟疾流行最严重的地区。迫切需要对 SSA 五岁以下儿童疟疾相关因素进行综合证据分析。这将有助于为该地区的决策者和执行者提供信息，以便有效分配有限的姑息资源，遏制疾病的传播。本范围综述旨在确定使用多元经典回归分析来确定与 SSA 五岁以下儿童疟疾相关的预测因素的研究。
方法/设计：搜索词遵循人群、干预、对照、结局、时间、地点（PICOTS），并用于搜索以下数据库：PubMed、MEDLINE、Web of Science、护理学和联合健康文献累积索引（CINAHL）、Scopus 和 Measure DHS。从 1990 年 1 月到 2020 年 12 月，在数据库中搜索已发表的文章。
在确定的 1154 项研究中，只有 13 项研究符合研究纳入标准。对选定的论文进行叙述性综合分析，以协调确定的各种预测因素。从儿童相关因素（年龄、出生顺序和使用蚊帐）、父母/家庭相关因素（母亲年龄和教育状况、家庭财富指数）和社区相关变量（社区财富状况、免费蚊帐分发）等方面确定了一些重要的预测因素。
对影响 SSA 五岁以下儿童疟疾状况的预测因素进行综合分析是及时的。综述的结果将增加对发病率流行病学的了解，这将为设计在 SSA 有效和具有成本效益的姑息资源分配和疟疾控制奠定基础。
