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Two decades of inpatient malaria admission data from three health facilities in a high-altitude area of western Kenya do not support the canonical view of unstable transmission.
For each hospital, we performed trend analysis through linear regression of the malaria admission data against a trend variable (observation month number/12).
To address this, we examined time series of pediatric malaria admission data during the late 1980s and 1990s from three hospitals located in districts of the western highlands of Kenya identified by the Ministry of Health as prone to epidemics.
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We present the results of applying three simple epidemic detection techniques to routinely collected longitudinal pediatric malaria admissions data from three health facilities in the highlands of western Kenya in the late 1980s and 1990s.
WHO, Cullen, and c-sum methods were tested on the series of pediatric malaria admissions data to evaluate their usefulness in the identification of epidemics, defined as the 2 years of highest numbers of cases.
We obtained aggregate outpatient visit and inpatient admission data for malaria at MMH from the hospital's archived disease aggregation forms and from previously compiled disease aggregation form data. Similar data on inpatient and outpatient visits for malaria at LGH were collected from Livingstone District's disease database.
Examples of ACR are collected from inpatient admission data at facilities with a range of malaria endemicities in Kenya.
Hospital admission data of infants across four sites including Kenya show that there is significant clinical protection against severe malaria morbidity in the first three months of life [ 6].
The infographic shows Cambridge admission data for applications beginning in autumn 2011.
Existing Oswestry admission data generated by FOTO were analyzed.
Hospital admission data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com