KENYA MALARIA INDICATOR SURVEY 2020 - Kenya

Abstract
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Malaria is a significant public health problem in Kenya. More than 70% of the population is at constant risk from malaria, including those most vulnerable to the disease, specifically children and pregnant women. In the past 5 years, there has been a concerted effort by the government and malaria partnerships to fight the disease through prevention and treatment interventions such as mass and routine mosquito net distribution programs to attain universal coverage, intermittent preventive treatment for malaria during pregnancy, and parasitological diagnosis and management of malaria cases.
The Kenya Malaria Indicator Survey is one of the key performance monitoring tools periodically used to provide an in-depth assessment of malaria control efforts over time. Kenya has in the past undertaken three Malaria Indicator Surveys, in 2007, 2010, and 2015. The results from these surveys provide information on the performance of the key malaria control interventions as experienced by communities across the country; and are crucial to evaluation of interventions. Moreover, they enable effective planning and malaria control programming and facilitate a good understanding of the factors, dynamics, and impediments that affect control efforts. The reports also provide evidence for comparison with other malaria control programs globally and allow for benchmarking to meet international standards and practices for combating the disease.
In this regard, it is incumbent upon all partners and stakeholders in malaria control and elimination to embrace this report and assess the implications for malaria programming over the next few years.The report, therefore, has come at an opportune time when we are in the midst of implementing the Kenya Malaria Strategy 2019-2023. The results will form a basis for redirecting efforts and reorienting both technical and operational perspectives to address the challenges and strengthen the successes observed. The Ministry of Health is committed to further reducing the malaria burden in the coming years. Thus, I urge all players in malaria control to rededicate efforts and investments to enable delivery of sound malaria interventions and drive the burden further down towards our ambitious vision of a malaria-free Kenya within the shortest time possible

Geographic coverage
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National

Analysis unit
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Household and individuals

Universe
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Sampled individuals and households

Sampling procedure
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A sample is a group of people who have been selected for a survey. In the KMIS, the sample is designed to represent the national population age 15-49. In addition to national data, most countries want to collect and report data on smaller geographical or administrative areas. However, doing so requires a minimum sample size per area. For the 2020 KMIS the survey sample is representative at the national level, malaria endemicity zone, and for urban and rural areas.
To generate statistics that are representative of the country as a whole and the five malaria endemicity zones, the number of women surveyed in each malaria endemicity zone should contribute to the size of the total (national) sample in proportion to size of the malaria endemicity zone. However, if some malaria endemicity zones have small populations, then a sample allocated in proportion to each malaria endemicity zone’s population may not include sufficient women from each district for analysis. To solve this problem, malaria endemicity zones with small populations are oversampled. For example, let’s say that you have enough money to interview 6,771 women and want to produce results that are representative of Kenya as a whole and its malaria endemicity zones (as in Table 2.11). However, the total population of Kenya is not evenly distributed among the malaria endemicity zones: some malaria endemicity zones, such as Low risk zone, are heavily populated while others, such as Coast endemic zone are not. Thus, Coast endemic zonemust be oversampled

Mode of data collection
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Face to face using CAPI

疟疾在肯尼亚是一项重大的公共卫生问题。超过70%的人口，包括那些最易受疾病侵害的人群，如儿童和孕妇，始终处于疟疾的持续风险之中。在过去五年中，政府和疟疾伙伴关系通过预防和治疗干预措施，如大规模和常规蚊帐分发计划以实现普遍覆盖、孕期间歇性预防治疗疟疾以及疟疾病例的寄生虫学诊断和管理，共同致力于抗击这一疾病。肯尼亚疟疾指标调查是定期用于深入评估疟疾控制努力随时间变化的性能的关键绩效监测工具之一。肯尼亚在过去曾进行过三次疟疾指标调查，分别在2007年、2010年和2015年。这些调查的结果提供了关于国家各地区社区所经历的关键疟疾控制干预措施绩效的信息；对于评估干预措施至关重要。此外，它们有助于有效的规划和疟疾控制项目，并有助于深入理解影响控制努力的因素、动态和障碍。报告还提供了与其他全球疟疾控制计划的比较证据，并允许进行基准测试，以符合国际标准和惯例，对抗这一疾病。

在此方面，疟疾控制和根除的所有合作伙伴和利益相关者有责任接受这份报告，并评估其对未来几年疟疾规划的影响。因此，这份报告恰逢其时，因为我们正处于实施肯尼亚疟疾战略2019-2023的过程中。这些结果将形成调整努力和重新定位技术及操作视角的基础，以应对挑战并巩固观察到的成果。卫生部门致力于在未来几年进一步减少疟疾的负担。因此，我敦促所有疟疾控制的参与者重新致力于努力和投资，以实现有效的疟疾干预措施，并推动负担进一步下降，朝着我们最雄心勃勃的愿景——在最短的时间内实现无疟疾的肯尼亚迈进。

地理覆盖范围
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全国
分析单位
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家庭和个人
总体
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抽样个人和家庭
抽样程序
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样本是一组被选用于调查的人。在KMIS中，样本旨在代表全国15-49岁的人口。除了国家数据外，大多数国家希望收集和报告关于较小地理或行政区域的数据。然而，这样做需要每个区域的最低样本量。对于2020年的KMIS，调查样本在国家级、疟疾流行区以及城市和农村地区都是代表性的。为了生成代表整个国家和五个疟疾流行区的统计数据，每个疟疾流行区的受访女性应按疟疾流行区的规模向总样本量（国家级）贡献相应的比例。然而，如果某些疟疾流行区的总人口较少，那么按每个疟疾流行区的人口比例分配的样本可能不足以包含每个地区的足够女性进行分析。为了解决这个问题，对总人口较少的疟疾流行区进行过采样。例如，假设你有足够的资金来采访6,771名女性，并希望产生代表整个肯尼亚及其疟疾流行区的结果（如表2.11所示）。然而，肯尼亚的总人口并没有均匀地分布在疟疾流行区：一些疟疾流行区，如低风险区，人口众多，而其他地区，如沿海流行区，则不是。因此，沿海流行区必须进行过采样。
数据收集方式
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面对面使用CAPI