Malaria micro-stratification using routine surveillance data in Western Kenya
نویسندگان
چکیده
Abstract Background There is an increasing need for finer spatial resolution data on malaria risk to provide micro-stratification guide sub-national strategic plans. Here, spatial-statistical techniques are used exploit routine depict heterogeneities in test positivity rate (TPR) among patients attending health facilities Kenya. Methods Routine from ( n = 1804) representing all ages over 24 months (2018–2019) were assembled across 8 counties (62 sub-counties) Western Statistical model-based approaches quantify TPR and uncertainty at fine adjusting missingness, population distribution, structure, month, type of facility. Results The overall monthly reporting was 78.7% (IQR 75.0–100.0) public-based more likely than private report ? 12 (OR 5.7, 95% CI 4.3–7.5). marked heterogeneity population-weighted with sub-counties the north lake-endemic region exhibiting highest rates (exceedance probability > 70% 90% certainty) where approximately 2.7 million (28.5%) people reside. At micro-level lowest 14 < 30% 2.2 (23.1%) lived indoor residual spraying had been conducted since 2017. Conclusion value can be enhanced when underlying structures data, highlighting small-scale often masked broad national stratifications. Future research should aim relating these traditional community-level prevalence improve tailoring control activities levels.
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ژورنال
عنوان ژورنال: Malaria Journal
سال: 2021
ISSN: ['1475-2875']
DOI: https://doi.org/10.1186/s12936-020-03529-6