Publications by authors named "M N Chege"

Background: Animals coexist with complex microbiota, including bacteria, viruses, and eukaryotes (e.g., fungi, protists, and helminths).

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Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about their added value, reliability, safety, and effectiveness before adoption. This study included children aged < 15 years who presented to the emergency departments of two public hospitals in Kenya between February and December 2021.

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African Swine Fever (ASF) is caused by a DNA virus (AFSV) maintained and transmitted by the Argasid ticks. The re-emergence of the disease in Africa coupled with its rapid spread globally is a threat to the pig industry, food security and livelihoods. The ecology and epidemiology of the ASFV sylvatic cycle, especially in the face of changing land use and land cover, further compounds the menace and impacts of this disease in Kenya.

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Article Synopsis
  • Infectious diseases contribute to a significant portion of under-five mortality in low- and middle-income countries, and clinical prediction models like Smart Triage can help identify critically ill infants to improve care.
  • A study aimed to externally validate the Smart Triage model using data from Uganda and Kenya, finding it performed better for children over one month than for neonates.
  • After adjusting for neonate-specific thresholds, the model showed improved predictive accuracy, suggesting it could be incorporated into local healthcare guidelines, though further validation is necessary.
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Models for digital triage of sick children at emergency departments of hospitals in resource poor settings have been developed. However, prior to their adoption, external validation should be performed to ensure their generalizability. We externally validated a previously published nine-predictor paediatric triage model (Smart Triage) developed in Uganda using data from two hospitals in Kenya.

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