{"title":"布基纳法索社区无症状疟疾流行率:小面积估算方法的应用。","authors":"Hervé Bassinga, Mady Ouedraogo, Kadari Cisse, Parfait Yira, Sibiri Clément Ouedraogo, Abdou Nombré, Wofom Lydie Marie-Bernard Bance, Mathias Kuepie, Toussaint Rouamba","doi":"10.1186/s12963-024-00341-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In malaria-endemic countries, asymptomatic carriers of plasmodium represent an important reservoir for malaria transmission. Estimating the burden at a fine scale and identifying areas at high risk of asymptomatic carriage are important to guide malaria control strategies. This study aimed to estimate the prevalence of asymptomatic carriage at the communal level in Burkina Faso, the smallest geographical entity from which a local development policy can be driven.</p><p><strong>Methods: </strong>The data used in this study came from several open sources: the 2018 Multiple Indicator Cluster Survey on Malaria and the 2019 general census of the population data and environmental. The analysis involved a total of 5489 children under 5 from the malaria survey and 293,715 children under 5 from the census. The Elbers Langjouw and Langjouw (ELL) approach is used to estimate the prevalence. This approach consists of including data from several sources (mainly census and survey data) in a statistical model to obtain predictive indicators at a sub-geographical level, which are not measured in the population census. The method achieves this by finding correlations between common census variables and survey data.</p><p><strong>Findings: </strong>The findings suggest that the spatial distribution of the prevalence of asymptomatic carriage is very heterogeneous across the communes. It varies from a minimum of 5.1% (95% CI 3.6-6.5) in the commune of Bobo-Dioulasso to a maximum of 41.4% (95% CI 33.5-49.4) in the commune of Djigoué. Of the 341 communes, 208 (61%) had prevalences above the national average of 20.3% (95% CI 18.8-21.2).</p><p><strong>Contributions: </strong>This analysis provided commune-level estimates of the prevalence of asymptomatic carriage of plasmodium in Burkina Faso. The results of this analysis should help to improve planning of malaria control at the communal level in Burkina Faso.</p>","PeriodicalId":51476,"journal":{"name":"Population Health Metrics","volume":"22 1","pages":"21"},"PeriodicalIF":3.2000,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11330607/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence of asymptomatic malaria at the communal level in Burkina Faso: an application of the small area estimation approach.\",\"authors\":\"Hervé Bassinga, Mady Ouedraogo, Kadari Cisse, Parfait Yira, Sibiri Clément Ouedraogo, Abdou Nombré, Wofom Lydie Marie-Bernard Bance, Mathias Kuepie, Toussaint Rouamba\",\"doi\":\"10.1186/s12963-024-00341-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In malaria-endemic countries, asymptomatic carriers of plasmodium represent an important reservoir for malaria transmission. Estimating the burden at a fine scale and identifying areas at high risk of asymptomatic carriage are important to guide malaria control strategies. This study aimed to estimate the prevalence of asymptomatic carriage at the communal level in Burkina Faso, the smallest geographical entity from which a local development policy can be driven.</p><p><strong>Methods: </strong>The data used in this study came from several open sources: the 2018 Multiple Indicator Cluster Survey on Malaria and the 2019 general census of the population data and environmental. The analysis involved a total of 5489 children under 5 from the malaria survey and 293,715 children under 5 from the census. The Elbers Langjouw and Langjouw (ELL) approach is used to estimate the prevalence. This approach consists of including data from several sources (mainly census and survey data) in a statistical model to obtain predictive indicators at a sub-geographical level, which are not measured in the population census. The method achieves this by finding correlations between common census variables and survey data.</p><p><strong>Findings: </strong>The findings suggest that the spatial distribution of the prevalence of asymptomatic carriage is very heterogeneous across the communes. It varies from a minimum of 5.1% (95% CI 3.6-6.5) in the commune of Bobo-Dioulasso to a maximum of 41.4% (95% CI 33.5-49.4) in the commune of Djigoué. Of the 341 communes, 208 (61%) had prevalences above the national average of 20.3% (95% CI 18.8-21.2).</p><p><strong>Contributions: </strong>This analysis provided commune-level estimates of the prevalence of asymptomatic carriage of plasmodium in Burkina Faso. 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引用次数: 0
摘要
背景:在疟疾流行的国家,无症状疟原虫携带者是疟疾传播的重要贮存库。对无症状携带者的负担进行精细估算并确定无症状携带高风险地区,对于指导疟疾控制策略非常重要。本研究旨在估算布基纳法索乡镇一级的无症状携带流行率,因为乡镇是推动当地发展政策的最小地理实体:本研究使用的数据来自多个公开来源:2018 年疟疾多指标类集调查和 2019 年人口数据与环境普查。分析共涉及疟疾调查中的 5489 名 5 岁以下儿童和人口普查中的 293 715 名 5 岁以下儿童。采用 Elbers Langjouw and Langjouw(ELL)方法估算患病率。这种方法包括将多个来源的数据(主要是人口普查和调查数据)纳入一个统计模型,以获得次地理层面的预测指标,而这些指标在人口普查中没有测量。该方法通过寻找普查共同变量与调查数据之间的相关性来实现这一目标:研究结果表明,无症状携带流行率在各乡镇的空间分布非常不均匀。博博迪乌拉索市的无症状携带率最低为 5.1%(95% CI 为 3.6-6.5),吉古埃市的最高为 41.4%(95% CI 为 33.5-49.4)。在 341 个乡镇中,有 208 个乡镇(61%)的发病率高于全国平均水平 20.3% (95% CI 18.8-21.2):这项分析提供了布基纳法索无症状疟原虫携带流行率的乡镇级估计值。分析结果将有助于改善布基纳法索社区疟疾控制规划。
Prevalence of asymptomatic malaria at the communal level in Burkina Faso: an application of the small area estimation approach.
Background: In malaria-endemic countries, asymptomatic carriers of plasmodium represent an important reservoir for malaria transmission. Estimating the burden at a fine scale and identifying areas at high risk of asymptomatic carriage are important to guide malaria control strategies. This study aimed to estimate the prevalence of asymptomatic carriage at the communal level in Burkina Faso, the smallest geographical entity from which a local development policy can be driven.
Methods: The data used in this study came from several open sources: the 2018 Multiple Indicator Cluster Survey on Malaria and the 2019 general census of the population data and environmental. The analysis involved a total of 5489 children under 5 from the malaria survey and 293,715 children under 5 from the census. The Elbers Langjouw and Langjouw (ELL) approach is used to estimate the prevalence. This approach consists of including data from several sources (mainly census and survey data) in a statistical model to obtain predictive indicators at a sub-geographical level, which are not measured in the population census. The method achieves this by finding correlations between common census variables and survey data.
Findings: The findings suggest that the spatial distribution of the prevalence of asymptomatic carriage is very heterogeneous across the communes. It varies from a minimum of 5.1% (95% CI 3.6-6.5) in the commune of Bobo-Dioulasso to a maximum of 41.4% (95% CI 33.5-49.4) in the commune of Djigoué. Of the 341 communes, 208 (61%) had prevalences above the national average of 20.3% (95% CI 18.8-21.2).
Contributions: This analysis provided commune-level estimates of the prevalence of asymptomatic carriage of plasmodium in Burkina Faso. The results of this analysis should help to improve planning of malaria control at the communal level in Burkina Faso.
期刊介绍:
Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.