Analysis of observed malnutrition outcomes.

Analysis of observed malnutrition outcomes.

<p>(a) Across all the 47 counties in Kenya. We computed the mean observation rate over all health facilities and months in the main study period for each county. Note that the counties with the highest and lowest observation rates are Makueni (0.71) and Nyeri (0.20), respectively. The mean obs...

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Bibliographic Details
Main Author: Girmaw Abebe Tadesse (11358420) (author)
Other Authors: Laura Ferguson (95312) (author), Caleb Robinson (8345691) (author), Shiphrah Kuria (12250868) (author), Herbert Wanyonyi (21368420) (author), Samuel Murage (21368423) (author), Samuel Mburu (21368426) (author), Rahul Dodhia (13919428) (author), Juan M. Lavista Ferres (13919431) (author), Bistra Dilkina (8345694) (author)
Published: 2025
Subjects:
Medicine
Neuroscience
Biotechnology
Computational Biology
Information Systems not elsewhere classified
window average model
window average baselines
remotely sensed data
remote sensory data
makers &# 8217
machine learning models
compare several methods
authors &# 8217
monitoring malnutrition trends
needing clinical data
forecast malnutrition risk
correctly forecast malnutrition
accurately forecast malnutrition
recently observed outcomes
enhance forecasting capability
forecast acute malnutrition
collecting clinical indicators
month time horizon
county malnutrition rates
forecasting malnutrition risk
county level using
xlink "> malnutrition
indicators </ p
acute malnutrition rate
acute malnutrition
clinical indicators
xlink ">
observed indicators
forecast values
county level
key indicators
forecasting performance
various stages
typically less
timely interventions
time horizons
results demonstrate
prior months
objectives include
mainly area
logistic regression
leading cause
known values
kenyan ministry
kenyan government
january 2019
inference time
income countries
greatest burden
gradient boosting
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